A space to discuss aspects of the Caribbean geology, ore potential of the ophiolite belts, etc.
Sunday, November 30, 2025
https://youtu.be/J8T7_IhpX4k
https://www.youtube.com/@valls_geoconsultant?sub_confirmation=1
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The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
Scopus Author ID: 7003369619/35335510700
ResearcherID: S-6604-2018
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The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
Scopus Author ID: 7003369619/35335510700
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https://youtu.be/nF8c3J2M8pY
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This video, "A Geologist and an Economist walk into a bar…,” explores the critical juncture where geoscience meets mining finance, emphasizing how a Qualified Person (QP) integrates rigorous standards like NI 43-101 and the VALMIN Code to convert geological Mineral Resources into bankable Mineral Reserves. The discussion centers on fundamental economic concepts like the Cut-Off Grade (COG), which acts as the pivotal parameter for geologists and mine planners aiming to maximize a project's Net Present Value (NPV) and confirm ultimate economic viability. The successful transformation of geological inputs—such as tonnage, grade, and spatial distribution—into demonstrable financial assets depends heavily on correctly applying Modifying Factors. These factors require the QP to assess various technical and non-technical constraints, including metallurgical recovery rates, geotechnical stability, environmental impacts, and accurate estimation of Capital and Operating Costs.
For professionals preparing technical reports under Canadian standards, adherence to CIM Definition Standards is mandatory, requiring that all scientific information is prepared or supervised by a competent Qualified Person. Critical reporting stages, such as the Feasibility Study or Pre-Feasibility Study (PFS), require a comprehensive demonstration of technical and economic viability, whereas a Preliminary Economic Assessment (PEA) allows the inclusion of inferred mineral resources but mandates specific cautionary disclosure regarding feasibility.
The video details the importance of rigorous technical procedures for data credibility, including careful drilling, sampling, assaying, and thorough Data Verification (Singh, n.d.). Furthermore, investors rely on the Australasian VALMIN Code for the Transparency and Competence underlying the Valuation Report, ensuring that assumptions regarding exploration results and reserves are clearly disclosed and based on sound technical foundations. Understanding the intersection of these disclosure codes and financial modelling is an absolute imperative for every junior and senior geologist operating in the global mining industry.
The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
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Saturday, November 29, 2025
https://youtu.be/i_GxBOSyakw
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P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
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https://youtu.be/YZPsS98ZcY8
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Valls Geoconsultant
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Valls Geoconsultant
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The bridge between Academy and Industry!
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Valls Geoconsultant
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The bridge between Academy and Industry!
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Valls Geoconsultant
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The bridge between Academy and Industry!
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Valls Geoconsultant
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The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
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https://youtu.be/uccJ7fMQn6s
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The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
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https://youtu.be/PnDSHV6-l4Q
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The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
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The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
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The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
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The sources provide a comprehensive overview of the global regulatory, technical, and financial requirements that govern the mineral resource industry, focusing heavily on public disclosure mandates. Specifically, the documents detail crucial reporting standards, such as the Australian VALMIN Code and the Canadian National Instrument 43-101, which require transparency and consistency in public statements aimed at investors. These frameworks rely on globally recognized definitions and classifications, including those established by the CRIRSCO template and guidelines from organizations like the CIM, to ensure the rigorous estimation of Mineral Resources and Reserves. Detailed guidance is set out for the Practitioner or Qualified Person (QP) regarding technical assessments, site inspections, and the selection of appropriate valuation methods for mineral assets at various stages of development. Furthermore, the material explores the financial landscape of mining, discussing traditional and alternative funding methods such as royalty and streaming deals, while underscoring the necessity of high-confidence technical work, like a definitive Feasibility Study, to secure capital.
The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
Scopus Author ID: 7003369619/35335510700
ResearcherID: S-6604-2018
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https://youtu.be/aGGQ9o1x2_8
https://www.youtube.com/@valls_geoconsultant?sub_confirmation=1
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The sources provide a comprehensive overview of the global regulatory, technical, and financial requirements that govern the mineral resource industry, focusing heavily on public disclosure mandates. Specifically, the documents detail crucial reporting standards, such as the Australian VALMIN Code and the Canadian National Instrument 43-101, which require transparency and consistency in public statements aimed at investors. These frameworks rely on globally recognized definitions and classifications, including those established by the CRIRSCO template and guidelines from organizations like the CIM, to ensure the rigorous estimation of Mineral Resources and Reserves. Detailed guidance is set out for the Practitioner or Qualified Person (QP) regarding technical assessments, site inspections, and the selection of appropriate valuation methods for mineral assets at various stages of development. Furthermore, the material explores the financial landscape of mining, discussing traditional and alternative funding methods such as royalty and streaming deals, while underscoring the necessity of high-confidence technical work, like a definitive Feasibility Study, to secure capital.
The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
Scopus Author ID: 7003369619/35335510700
ResearcherID: S-6604-2018
If you like this content, please "buy me a coffee" https://www.buymeacoffee.com/goldendroplets
https://youtu.be/5RkIObtnJGQ
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The sources provide a comprehensive overview of the global regulatory, technical, and financial requirements that govern the mineral resource industry, focusing heavily on public disclosure mandates. Specifically, the documents detail crucial reporting standards, such as the Australian VALMIN Code and the Canadian National Instrument 43-101, which require transparency and consistency in public statements aimed at investors. These frameworks rely on globally recognized definitions and classifications, including those established by the CRIRSCO template and guidelines from organizations like the CIM, to ensure the rigorous estimation of Mineral Resources and Reserves. Detailed guidance is set out for the Practitioner or Qualified Person (QP) regarding technical assessments, site inspections, and the selection of appropriate valuation methods for mineral assets at various stages of development. Furthermore, the material explores the financial landscape of mining, discussing traditional and alternative funding methods such as royalty and streaming deals, while underscoring the necessity of high-confidence technical work, like a definitive Feasibility Study, to secure capital.
The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
Scopus Author ID: 7003369619/35335510700
ResearcherID: S-6604-2018
If you like this content, please "buy me a coffee" https://www.buymeacoffee.com/goldendroplets
Friday, November 28, 2025
https://youtu.be/5RkIObtnJGQ
https://www.youtube.com/@valls_geoconsultant?sub_confirmation=1
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Golden droplets- https://shorturl.at/fetV1
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The sources provide a comprehensive overview of the global regulatory, technical, and financial requirements that govern the mineral resource industry, focusing heavily on public disclosure mandates. Specifically, the documents detail crucial reporting standards, such as the Australian VALMIN Code and the Canadian National Instrument 43-101, which require transparency and consistency in public statements aimed at investors. These frameworks rely on globally recognized definitions and classifications, including those established by the CRIRSCO template and guidelines from organizations like the CIM, to ensure the rigorous estimation of Mineral Resources and Reserves. Detailed guidance is set out for the Practitioner or Qualified Person (QP) regarding technical assessments, site inspections, and the selection of appropriate valuation methods for mineral assets at various stages of development. Furthermore, the material explores the financial landscape of mining, discussing traditional and alternative funding methods such as royalty and streaming deals, while underscoring the necessity of high-confidence technical work, like a definitive Feasibility Study, to secure capital.
The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
Scopus Author ID: 7003369619/35335510700
ResearcherID: S-6604-2018
If you like this content, please "buy me a coffee" https://www.buymeacoffee.com/goldendroplets
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The sources provide a comprehensive overview of the global regulatory, technical, and financial requirements that govern the mineral resource industry, focusing heavily on public disclosure mandates. Specifically, the documents detail crucial reporting standards, such as the Australian VALMIN Code and the Canadian National Instrument 43-101, which require transparency and consistency in public statements aimed at investors. These frameworks rely on globally recognized definitions and classifications, including those established by the CRIRSCO template and guidelines from organizations like the CIM, to ensure the rigorous estimation of Mineral Resources and Reserves. Detailed guidance is set out for the Practitioner or Qualified Person (QP) regarding technical assessments, site inspections, and the selection of appropriate valuation methods for mineral assets at various stages of development. Furthermore, the material explores the financial landscape of mining, discussing traditional and alternative funding methods such as royalty and streaming deals, while underscoring the necessity of high-confidence technical work, like a definitive Feasibility Study, to secure capital.
The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
Scopus Author ID: 7003369619/35335510700
ResearcherID: S-6604-2018
If you like this content, please "buy me a coffee" https://www.buymeacoffee.com/goldendroplets
https://youtu.be/3blLYgUq9a8
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The Geographic Information System (GIS) has fundamentally redefined resource exploration and prospectivity mapping, transforming the role of geologists and enabling the industry's digital transformation. This video explains how the integration of GIS and AI/Machine Learning (ML) technology is boosting exploration accuracy, optimizing oil and gas asset management and helping junior and senior geologists achieve significant cost reduction through powerful 3D subsurface modeling.
The contemporary search for mineral and hydrocarbon resources relies on the critical synergy between the geologist's domain expertise—who provides the essential exploration model—and the GIS expert's role in managing, analyzing, and visualizing vast volumes of geospatial data. This process is essential for establishing a Single Source of Truth, where disparate geological datasets (including geophysical data, geochemical surveys, and remote sensing or satellite imagery) are harmonized into a unified coordinate system.
In the mineral exploration niche, GIS applications facilitate Quantitative Mineral Potential Mapping (QMPM). We break down statistical techniques such as the Weights of Evidence (WofE) modeling, which measures the statistical association between training points (known deposits) and evidential themes (map layers) to quantify geological favourability. Furthermore, we discuss the crucial need to assess the assumption of conditional independence in WofE and the alternative use of Weighted Logistic Regression (WLR) to avoid bias, which is essential for rigorous spatial prediction. Examples from the Witwatersrand Basin (South Africa) and the Nevada Goldfields (USA) demonstrate up to a 38% improvement in spatial accuracy and higher drill hit rates through advanced GIS implementation.
For the hydrocarbon exploration sector, 3D GIS technology is indispensable for visualizing the subsurface structure, combining seismic interpretation with data like well logs and satellite imagery. This technology supports holistic decision-making by overlaying the geological targets with surface constraints, such as social infrastructure and environmental implications, ensuring that drilling and pipeline routing is both technically optimal and compliant with environmental management standards. Ultimately, GIS liberates the modern structural geologist and ore prospector from laborious data mechanics, allowing them to focus intellectual capital on refining the conceptual geological model and making informed, de-risked decisions across the entire asset management lifecycle.
The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
Scopus Author ID: 7003369619/35335510700
ResearcherID: S-6604-2018
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#valls_geoconsultant #GISforGeology #MineralExploration #WeightsOfEvidence
Thursday, November 27, 2025
https://youtu.be/uG4RjEFQRVI
The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
Scopus Author ID: 7003369619/35335510700
ResearcherID: S-6604-2018
If you like this content, please "buy me a coffee" https://www.buymeacoffee.com/goldendroplets
https://youtu.be/AD6YRPImOU4
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Эти источники единодушно отмечают широко распространенную и решающую роль геоинформационных систем (ГИС) в современных секторах ресурсов, в первую очередь в нефтегазовой отрасли и разведке твердых полезных ископаемых. В документах подчеркивается, как внедрение ГИС улучшает операционную эффективность и снижает риски, преобразуя традиционные трудоемкие методы в строгие, основанные на данных рабочие процессы, особенно в области управления активами и мониторинга трубопроводов.
Центральной темой является интеграция разнообразных пространственных данных, включая сейсмические показания, геохимические анализы и спутниковое дистанционное зондирование, для создания улучшенных 3D- и 4D-визуализаций сложных подземных структур. Кроме того, в текстах подробно описаны передовые количественные методы, такие как вес доказательств (WofE) и логистическая регрессия, которые используют геопространственные данные для количественной оценки геологической благоприятности и создания статистически точных карт перспективности месторождений полезных ископаемых. Эта техническая синергия имеет важное значение для ускорения темпов открытия месторождений и сосредоточения дорогостоящих буровых работ на целях с высокой вероятностью успеха. В конечном итоге успешная реализация зависит от сложных технических архитектур, которые обеспечивают беспрепятственный обмен данными между корпоративными платформами ГИС и специализированным программным обеспечением для геологического моделирования.
The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
Scopus Author ID: 7003369619/35335510700
ResearcherID: S-6604-2018
If you like this content, please "buy me a coffee" https://www.buymeacoffee.com/goldendroplets
https://youtu.be/XMYd2YJL3pk
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Golden droplets- https://shorturl.at/fetV1
Geovoices- https://tinyurl.com/m23pp4pb
News about geology- https://tinyurl.com/3979urhy
Estas fuentes abordan de manera uniforme el papel generalizado y crucial de los Sistemas de Información Geográfica (SIG) en los sectores de recursos modernos, principalmente el petróleo y el gas, y la exploración de minerales de roca dura. Los documentos hacen hincapié en cómo la adopción de los SIG mejora la eficiencia operativa y la mitigación de riesgos al transformar las prácticas tradicionales, que requieren mucha mano de obra, en flujos de trabajo rigurosos y basados en datos, especialmente para la gestión de activos y la supervisión de tuberías.
Un tema central es la integración de diversos datos espaciales, incluyendo lecturas sísmicas, ensayos geoquímicos y teledetección por satélite, para crear visualizaciones mejoradas en 3D y 4D de estructuras subterráneas complejas. Además, los textos detallan métodos cuantitativos avanzados, como Weights of Evidence (WofE) y la regresión logística, que aprovechan los datos geoespaciales para cuantificar la favorabilidad geológica y generar mapas de prospectividad mineral estadísticamente rigurosos. Esta sinergia técnica es esencial para acelerar las tasas de descubrimiento y centrar las costosas campañas de perforación en objetivos de alta probabilidad. En última instancia, el éxito de la implementación depende de sofisticadas arquitecturas técnicas que garanticen un intercambio de datos fluido entre las plataformas SIG empresariales y el software especializado de modelización geológica.
The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
Scopus Author ID: 7003369619/35335510700
ResearcherID: S-6604-2018
If you like this content, please "buy me a coffee" https://www.buymeacoffee.com/goldendroplets
https://youtu.be/YWp_9XhdLbc
For more videos about geology, geochemistry, AI, and much more, please visit and subscribe for free here:
Golden droplets- https://shorturl.at/fetV1
Geovoices- https://tinyurl.com/m23pp4pb
News about geology- https://tinyurl.com/3979urhy
These sources uniformly address the widespread and crucial role of Geographic Information Systems (GIS) in modern resource sectors, primarily oil and gas, and hard rock mineral exploration. The documents emphasize how adopting GIS improves operational efficiency and risk mitigation by transforming traditional, labor-intensive practices into rigorous, data-driven workflows, especially for asset management and pipeline monitoring.
A central theme is the integration of diverse spatial data—including seismic readings, geochemical assays, and satellite remote sensing—to create enhanced 3D and 4D visualizations of complex subsurface structures. Furthermore, the texts detail advanced quantitative methods, such as Weights of Evidence (WofE) and logistic regression, which leverage geospatial data to quantify geological favorability and generate statistically rigorous mineral prospectivity maps. This technical synergy is essential for accelerating discovery rates and focusing costly drilling campaigns on high-probability targets. Ultimately, the successful implementation relies on sophisticated technical architectures that ensure seamless data exchange between enterprise GIS platforms and specialized geological modeling software.
The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
Scopus Author ID: 7003369619/35335510700
ResearcherID: S-6604-2018
If you like this content, please "buy me a coffee" https://www.buymeacoffee.com/goldendroplets
Wednesday, November 26, 2025
https://youtu.be/AD6YRPImOU4
Чтобы посмотреть больше видео о геологии, геохимии, искусственном интеллекте и многом другом, посетите наш сайт и подпишитесь бесплатно здесь:
Золотые капли — https://shorturl.at/fetV1
Geovoices — https://tinyurl.com/m23pp4pb
Новости о геологии — https://tinyurl.com/3979urhy
Эти источники единодушно отмечают широко распространенную и решающую роль геоинформационных систем (ГИС) в современных секторах ресурсов, в первую очередь в нефтегазовой отрасли и разведке твердых полезных ископаемых. В документах подчеркивается, как внедрение ГИС улучшает операционную эффективность и снижает риски, преобразуя традиционные трудоемкие методы в строгие, основанные на данных рабочие процессы, особенно в области управления активами и мониторинга трубопроводов.
Центральной темой является интеграция разнообразных пространственных данных, включая сейсмические показания, геохимические анализы и спутниковое дистанционное зондирование, для создания улучшенных 3D- и 4D-визуализаций сложных подземных структур. Кроме того, в текстах подробно описаны передовые количественные методы, такие как вес доказательств (WofE) и логистическая регрессия, которые используют геопространственные данные для количественной оценки геологической благоприятности и создания статистически точных карт перспективности месторождений полезных ископаемых. Эта техническая синергия имеет важное значение для ускорения темпов открытия месторождений и сосредоточения дорогостоящих буровых работ на целях с высокой вероятностью успеха. В конечном итоге успешная реализация зависит от сложных технических архитектур, которые обеспечивают беспрепятственный обмен данными между корпоративными платформами ГИС и специализированным программным обеспечением для геологического моделирования.
The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
Scopus Author ID: 7003369619/35335510700
ResearcherID: S-6604-2018
If you like this content, please "buy me a coffee" https://www.buymeacoffee.com/goldendroplets
https://youtu.be/XMYd2YJL3pk
For more videos about geology, geochemistry, AI, and much more, please visit and subscribe for free here:
Golden droplets- https://shorturl.at/fetV1
Geovoices- https://tinyurl.com/m23pp4pb
News about geology- https://tinyurl.com/3979urhy
Estas fuentes abordan de manera uniforme el papel generalizado y crucial de los Sistemas de Información Geográfica (SIG) en los sectores de recursos modernos, principalmente el petróleo y el gas, y la exploración de minerales de roca dura. Los documentos hacen hincapié en cómo la adopción de los SIG mejora la eficiencia operativa y la mitigación de riesgos al transformar las prácticas tradicionales, que requieren mucha mano de obra, en flujos de trabajo rigurosos y basados en datos, especialmente para la gestión de activos y la supervisión de tuberías.
Un tema central es la integración de diversos datos espaciales, incluyendo lecturas sísmicas, ensayos geoquímicos y teledetección por satélite, para crear visualizaciones mejoradas en 3D y 4D de estructuras subterráneas complejas. Además, los textos detallan métodos cuantitativos avanzados, como Weights of Evidence (WofE) y la regresión logística, que aprovechan los datos geoespaciales para cuantificar la favorabilidad geológica y generar mapas de prospectividad mineral estadísticamente rigurosos. Esta sinergia técnica es esencial para acelerar las tasas de descubrimiento y centrar las costosas campañas de perforación en objetivos de alta probabilidad. En última instancia, el éxito de la implementación depende de sofisticadas arquitecturas técnicas que garanticen un intercambio de datos fluido entre las plataformas SIG empresariales y el software especializado de modelización geológica.
The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
Scopus Author ID: 7003369619/35335510700
ResearcherID: S-6604-2018
If you like this content, please "buy me a coffee" https://www.buymeacoffee.com/goldendroplets
https://youtu.be/YWp_9XhdLbc
For more videos about geology, geochemistry, AI, and much more, please visit and subscribe for free here:
Golden droplets- https://shorturl.at/fetV1
Geovoices- https://tinyurl.com/m23pp4pb
News about geology- https://tinyurl.com/3979urhy
These sources uniformly address the widespread and crucial role of Geographic Information Systems (GIS) in modern resource sectors, primarily oil and gas, and hard rock mineral exploration. The documents emphasize how adopting GIS improves operational efficiency and risk mitigation by transforming traditional, labor-intensive practices into rigorous, data-driven workflows, especially for asset management and pipeline monitoring.
A central theme is the integration of diverse spatial data—including seismic readings, geochemical assays, and satellite remote sensing—to create enhanced 3D and 4D visualizations of complex subsurface structures. Furthermore, the texts detail advanced quantitative methods, such as Weights of Evidence (WofE) and logistic regression, which leverage geospatial data to quantify geological favorability and generate statistically rigorous mineral prospectivity maps. This technical synergy is essential for accelerating discovery rates and focusing costly drilling campaigns on high-probability targets. Ultimately, the successful implementation relies on sophisticated technical architectures that ensure seamless data exchange between enterprise GIS platforms and specialized geological modeling software.
The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
Scopus Author ID: 7003369619/35335510700
ResearcherID: S-6604-2018
If you like this content, please "buy me a coffee" https://www.buymeacoffee.com/goldendroplets
https://youtu.be/zvUo_kbprs8
For more videos about geology, geochemistry, AI, and much more, please visit and subscribe for free here:
Golden droplets- https://shorturl.at/fetV1
Geovoices- https://tinyurl.com/m23pp4pb
News about geology- https://tinyurl.com/3979urhy
In this must-watch video, "A Geologist and a Geochemist walk into a bar…," we detail how lithogeochemistry and geochemistry are mandatory for maximizing exploration success, providing essential tools for vectoring toward blind ore deposits by accurately detecting cryptic alteration. We explore advanced analytical methods like Pearce Element Ratio (PER) and General Element Ratio (GER) analysis, crucial for robust mineral exploration.
Hydrothermal alteration produces subtle, systematic chemical changes, known as cryptic alteration, that are often invisible during surface geological mapping but are critical for identifying mineralizing systems, even those concealed under thick cover. Using the sediment-hosted Elura Zn-Pb-Ag sulphide deposit in New South Wales, Australia, as a primary example, we demonstrate how this alteration and the resulting primary dispersion halos can be detected up to 350m from the orebody below the weathering front. Characteristic lithogeochemical vectors observed include strong Sodium depletion, accompanied by enrichment in pathfinders like Zn, Pb, Ag, As, Rb, Tl, and particularly Antimony (Sb). The advanced ratio analysis techniques, PER and GER, are essential because they quantify chemical variation while effectively avoiding closure problems when comparing altered and unaltered rocks, aiding drilling programs aimed at penetrating the cryptic alteration zone adjacent to ore. In precious metals exploration, understanding the vertical distribution of elemental assemblages (the primary dispersion halo) is paramount: Hg, As, and Sb typically form the "top" or "front" halo, while elements like Mo and W define the deep "tail" zone. The presence of strong "top" halo anomalies (Hg, As, Sb) where gold values are low can strongly indicate a blind ore deposit at depth.
The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
Scopus Author ID: 7003369619/35335510700
ResearcherID: S-6604-2018
If you like this content, please "buy me a coffee" https://www.buymeacoffee.com/goldendroplets
#valls_geoconsultant #Lithogeochemistry #CrypticAlteration #BlindOreDeposits #MineralExploration
References
Austin, J. R., Birchall, R., Stromberg, J., Patterson, B., Bjork, A., Dhnaram, C., Lisitsin, V., Walshe, J., Gazley, M., leGras, M., Shelton, T., Spinks, S., Pearce, M., Schlegel, T., & McFarlane, H. (2024). Cloncurry METAL: multimodal integrated mineral system characterisation data [Dataset]. AuScope. https://doi.org/10.60623/82trleue
Bruker. (n.d.). Pathfinder & indicator minerals in exploration. Retrieved from https://www.bruker.com/en/applications/minerals-mining-and-petrochemical/minerals-exploration-discovery/pathfinder-indicator-minerals-in-exploration.html
Carranza, E. J. M., & Sadeghi, M. (2012). Primary geochemical characteristics of mineral deposits—Implications for exploration. Ore Geology Reviews.
Diakov, S., Sanjdorj, S., & Jamsrandorj, G. (2018). Discovery of Oyu Tolgoi: A case study of mineral and geological exploration. Elsevier.
Holliday, J. R., & Cooke, D. R. (2007). Advances in geological models and exploration methods for copper ± gold porphyry deposits. In B. Milkereit (Ed.), Proceedings of Exploration 07: Fifth Decennial International Conference on Mineral Exploration (pp. 791–809).
Hutchison, W., Finch, A. A., & Boyce, A. J. (2020). The sulfur isotope evolution of magmatic-hydrothermal fluids: insights into ore-forming processes. [Article].
Kirwin, D. J., Forster, C. N., & Garamjav, D. (2003). The discovery history of the Oyu Tolgoi porphyry copper-gold deposits, South Gobi, Mongolia. In NewGenGold 2003 Conference Proceedings (pp. 130–146).
Li, C., Liu, B., Xiao, K., & Wu, Y. (2023). Metallogenic prediction of the Zaozigou gold deposit using 3D geological and geochemical modeling. Minerals, 13(9), 1205.
McMillan, M. S., Haber, E., Peters, B., & Fohring, J. (2021). Mineral prospectivity mapping using a VNet convolutional neural network. The Leading Edge.
McQueen, K. G., & Whitbread, M. A. I. (2011). An integrated lithogeochemical approach to detecting and interpreting cryptic alteration around the Elura Zn-Pb-Ag deposit, New South Wales, Australia. Geochemistry: Exploration, Environment, Analysis, 11(3), 233–246. https://doi.org/10.1144/1467-7873/09-011
Taylor, R. D., Monecke, T., Reynolds, T., & Monecke, J. (2021). Paragenesis of an orogenic gold deposit: New insights on mineralizing processes at the Grass Valley District, California. Economic Geology. https://doi.org/10.5382/econgeo.4794
Whiting, B. (2010). Interpreting geochemical anomalies in the hunt for blind ore deposits: Las Mesas Project example (Technical Note). Orex Minerals Inc.
Tuesday, November 25, 2025
https://youtu.be/z1JRt6HSdZA
For more videos about geology, geochemistry, AI, and much more, please visit and subscribe for free here:
Golden droplets- https://shorturl.at/fetV1
Geovoices- https://tinyurl.com/m23pp4pb
News about geology- https://tinyurl.com/3979urhy
The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
Scopus Author ID: 7003369619/35335510700
ResearcherID: S-6604-2018
If you like this content, please "buy me a coffee" https://www.buymeacoffee.com/goldendroplets
https://youtu.be/UB2vD27J4vk
For more videos about geology, geochemistry, AI, and much more, please visit and subscribe for free here:
Golden droplets- https://shorturl.at/fetV1
Geovoices- https://tinyurl.com/m23pp4pb
News about geology- https://tinyurl.com/3979urhy
The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
Scopus Author ID: 7003369619/35335510700
ResearcherID: S-6604-2018
If you like this content, please "buy me a coffee" https://www.buymeacoffee.com/goldendroplets
https://youtu.be/U2OyFW60XbA
For more videos about geology, geochemistry, AI, and much more, please visit and subscribe for free here:
Golden droplets- https://shorturl.at/fetV1
Geovoices- https://tinyurl.com/m23pp4pb
News about geology- https://tinyurl.com/3979urhy
The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
Scopus Author ID: 7003369619/35335510700
ResearcherID: S-6604-2018
If you like this content, please "buy me a coffee" https://www.buymeacoffee.com/goldendroplets
https://youtu.be/NhLduSOvBno
For more videos about geology, geochemistry, AI, and much more, please visit and subscribe for free here:
Golden droplets- https://shorturl.at/fetV1
Geovoices- https://tinyurl.com/m23pp4pb
News about geology- https://tinyurl.com/3979urhy
The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
Scopus Author ID: 7003369619/35335510700
ResearcherID: S-6604-2018
If you like this content, please "buy me a coffee" https://www.buymeacoffee.com/goldendroplets
https://youtu.be/yXf-t_9w8RU
For more videos about geology, geochemistry, AI, and much more, please visit and subscribe for free here:
Golden droplets- https://shorturl.at/fetV1
Geovoices- https://tinyurl.com/m23pp4pb
News about geology- https://tinyurl.com/3979urhy
The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
Scopus Author ID: 7003369619/35335510700
ResearcherID: S-6604-2018
If you like this content, please "buy me a coffee" https://www.buymeacoffee.com/goldendroplets
https://youtu.be/P5sDjV00g8Y
Для просмотра других видеороликов о геологии, геохимии, искусственном интеллекте и многом другом посетите наш канал и подпишитесь на него бесплатно здесь:
Золотые капли — https://shorturl.at/fetV1
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Представленные источники в основном посвящены области поиска полезных ископаемых, в частности, подробно описывают передовые геологические и геохимические методы, используемые для обнаружения и характеристики месторождений руды. В нескольких документах объясняются такие методы, как литогеохимический анализ и соотношение элементов Пирса, позволяющие понять ореолы изменения вокруг месторождений, как показано на примере системы Elura Zn-Pb-Ag. В других текстах подчеркивается стратегическое использование передовых технологий, таких как алгоритмы машинного обучения (VNet) и анализ стабильных изотопов, для картографирования перспективных месторождений полезных ископаемых и поиска скрытых месторождений руды, таких как месторождения в проекте Las Mesas.
Кроме того, приводятся исторические примеры, в частности открытие месторождения меди и золота Oyu Tolgoi в Монголии, которые подчеркивают важность сочетания международных методов разведки с местным геологическим опытом. В совокупности эти источники иллюстрируют, как современная горная геология опирается на интеграцию многомасштабных, мультимодальных данных, включая петрофизические измерения, дистанционное зондирование и геофизические исследования, для эффективной идентификации ресурсов, технико-экономических обоснований и управления окружающей средой.
The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
Scopus Author ID: 7003369619/35335510700
ResearcherID: S-6604-2018
If you like this content, please "buy me a coffee" https://www.buymeacoffee.com/goldendroplets
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Las fuentes proporcionadas se centran principalmente en el campo de la exploración minera, y detallan específicamente los métodos geológicos y geoquímicos avanzados que se utilizan para descubrir y caracterizar los yacimientos minerales. Varios documentos explican técnicas como el análisis litogeoquímico y las proporciones de elementos de Pearce para comprender los halos de alteración alrededor de los yacimientos, como lo demuestra el sistema Elura Zn-Pb-Ag. Otros textos destacan el uso estratégico de tecnología avanzada, como los algoritmos de aprendizaje automático (VNet) y el análisis de isótopos estables, para cartografiar la prospectividad mineral y localizar yacimientos minerales ocultos, como los del proyecto Las Mesas.
Además, hay estudios de casos históricos, en particular el descubrimiento de cobre y oro en Oyu Tolgoi, en Mongolia, que enfatizan la importancia de combinar técnicas de exploración internacionales con la experiencia geológica local. En conjunto, las fuentes ilustran cómo la geología minera moderna se basa en la integración de datos multimodales y a múltiples escalas, incluyendo mediciones petrofísicas, teledetección y estudios geofísicos, para la identificación eficiente de recursos, estudios de viabilidad y gestión ambiental.
The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
Scopus Author ID: 7003369619/35335510700
ResearcherID: S-6604-2018
If you like this content, please "buy me a coffee" https://www.buymeacoffee.com/goldendroplets
https://youtu.be/87byPOFyd5c
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The provided sources predominantly focus on the field of mineral exploration, specifically detailing advanced geological and geochemical methods used to discover and characterize ore deposits. Several documents explain techniques like lithogeochemical analysis and Pearce Element Ratios for understanding alteration halos around deposits, as demonstrated by the Elura Zn-Pb-Ag system. Other texts highlight the strategic use of advanced technology, such as machine learning algorithms (VNet) and stable isotope analysis, for mineral prospectivity mapping and targeting blind ore deposits, like those in the Las Mesas Project. Additionally, there are historical case studies, notably the Oyu Tolgoi copper-gold discovery in Mongolia, which emphasize the importance of blending international exploration techniques with local geological expertise. Collectively, the sources illustrate how modern mining geology relies on the integration of multi-scale, multi-modal data—including petrophysical measurements, remote sensing, and geophysical surveys—for efficient resource identification, feasibility studies, and environmental management.
The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
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Monday, November 24, 2025
https://youtu.be/-SSmBsPLpP8
Source: https://scitechdaily.com/mysterious-structures-discovered-beneath-earth-may-explain-why-our-planet-supports-life
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P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
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https://youtu.be/h4zW8pyk9E8
AI fusion: Better geoscience models and seismic interpretation.
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This video explores integrated geosciences, highlighting the synergy of geology and geophysics through multiphysics data fusion and advanced joint inversion techniques, critical for modern geological exploration and subsurface imaging. Learn how AI and machine learning (ML), including physics-informed AI and generative AI models, are accelerating seismic interpretation and improving geophysical modeling by leveraging petrophysical constraints and mathematical approaches like Gramian constraints to solve ambiguity.
The seamless synthesis of geological observation and geophysical interpretation is essential for the robust construction of an accurate, predictive model of the Earth.
A key example is the application of Gramian-based structural constraints to combine airborne electromagnetic (AEM) and total magnetic intensity (TMI) data for enhanced mineral exploration at the Reid-Mahaffy test site, yielding models with enhanced structural similarity compared to standalone inversions. In energy applications, this integrated approach is paramount for hydrocarbon exploration and geothermal exploration, where systematic de-risking relies on unifying geological basin models with subsurface seismic data to define trapping structures and fluid conduits.
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P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
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#valls_geoconsultant #JointInversion #GeophysicalModeling #AIinGeology
References
1. Alaska Division of Geological & Geophysical Surveys. (n.d.). Energy resources - Cook Inlet. Retrieved from Alaska Division of Geological & Geophysical Surveys.
2. Close, D. I. (2012, February). Geophysical constraints in geostatistical modelling. [Source Name Missing], 37(2).
3. Earth Science Stack Exchange. (n.d.). What is the difference between a geologist and a geophysicist? [Online forum post]. Retrieved from Earth Science Stack Exchange.
4. Fairfield Geotechnologies. (2025, July 31). Human insight, machine intelligence: The next chapter in seismic interpretation. Retrieved from Fairfield Geotechnologies.
5. GeoMark Research. (n.d.). Basin modeling. Retrieved from GeoMark Research.
6. Johnsen, E. (2008, August 7). Incorporating geophysics into geologic models. GeoExpro.
7. Light, S. (2008). Geological constraints on geophysical modelling and inversion. CRC LEME.
8. Ma, X. (2021). Data science for geoscience: Recent progress and future trends from the perspective of a data life cycle [Preprint]. EarthArXiv.
9. Morris, W. A., Spicer, B., Tschirhart, P., Tschirhart, V., Lee, M. D., & Ugalde, H. (2012). Integrating geological constraints in geophysical models. SEG Technical Program Expanded Abstracts. https://doi.org/10.1190/segam2012-0487.1
10. Rafiq, J., Abu-Mahfouz, I. S., Chavanidis, K., & Soupios, P. (2025). Integrated structural analysis for geothermal exploration: A new protocol combining remote sensing and aeromagnetic geophysical data. MethodsX, 14, 103189. https://doi.org/10.1016/j.mex.2025.103189
11. State of California. (2008). Consumer guide to geological and geophysical services publications for consumers. Retrieved from State of California.
12. The integrated geoscience imperative: Synergy, discovery, and the computational future. (n.d.). [Unpublished manuscript].
13. Wilson, H. (2021). The hydrocarbon exploration process. In H. Wilson, K. Nunn, & M. Luheshi (Eds.), Integration of geophysical technologies in the petroleum industry (pp. 7–38). Cambridge University Press. https://doi.org/10.1017/9781108913256.002
14. Zhao, T., Wang, S., Ouyang, C., Chen, M., Liu, C., Zhang, J., Yu, L., Wang, F., Xie, Y., Li, J., Wang, F., Grunwald, S., Wong, B. M., Zhang, F., Qian, Z., Xu, Y., Yu, C., Han, W., Sun, T., . . . Wang, L. (2024). Artificial intelligence for geoscience: Progress, challenges, and perspectives. [Journal Name Missing], 5(5), 100691. https://doi.org/10.1016/j.xinn.2024.100691
15. Zhdanov, M. S., Jorgensen, M., & Cox, L. H. (2021). Advanced methods of joint inversion of multiphysics data for mineral exploration. Geosciences, 11(6), 262. https://doi.org/10.3390/geosciences11060262
Sunday, November 23, 2025
https://youtu.be/P5sDjV00g8Y
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Представленные источники в основном посвящены области поиска полезных ископаемых, в частности, подробно описывают передовые геологические и геохимические методы, используемые для обнаружения и характеристики месторождений руды. В нескольких документах объясняются такие методы, как литогеохимический анализ и соотношение элементов Пирса, позволяющие понять ореолы изменения вокруг месторождений, как показано на примере системы Elura Zn-Pb-Ag. В других текстах подчеркивается стратегическое использование передовых технологий, таких как алгоритмы машинного обучения (VNet) и анализ стабильных изотопов, для картографирования перспективных месторождений полезных ископаемых и поиска скрытых месторождений руды, таких как месторождения в проекте Las Mesas.
Кроме того, приводятся исторические примеры, в частности открытие месторождения меди и золота Oyu Tolgoi в Монголии, которые подчеркивают важность сочетания международных методов разведки с местным геологическим опытом. В совокупности эти источники иллюстрируют, как современная горная геология опирается на интеграцию многомасштабных, мультимодальных данных, включая петрофизические измерения, дистанционное зондирование и геофизические исследования, для эффективной идентификации ресурсов, технико-экономических обоснований и управления окружающей средой.
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P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
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https://youtu.be/ZBvyj5yC9zY
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Las fuentes proporcionadas se centran principalmente en el campo de la exploración minera, y detallan específicamente los métodos geológicos y geoquímicos avanzados que se utilizan para descubrir y caracterizar los yacimientos minerales. Varios documentos explican técnicas como el análisis litogeoquímico y las proporciones de elementos de Pearce para comprender los halos de alteración alrededor de los yacimientos, como lo demuestra el sistema Elura Zn-Pb-Ag. Otros textos destacan el uso estratégico de tecnología avanzada, como los algoritmos de aprendizaje automático (VNet) y el análisis de isótopos estables, para cartografiar la prospectividad mineral y localizar yacimientos minerales ocultos, como los del proyecto Las Mesas.
Además, hay estudios de casos históricos, en particular el descubrimiento de cobre y oro en Oyu Tolgoi, en Mongolia, que enfatizan la importancia de combinar técnicas de exploración internacionales con la experiencia geológica local. En conjunto, las fuentes ilustran cómo la geología minera moderna se basa en la integración de datos multimodales y a múltiples escalas, incluyendo mediciones petrofísicas, teledetección y estudios geofísicos, para la identificación eficiente de recursos, estudios de viabilidad y gestión ambiental.
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P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
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https://youtu.be/87byPOFyd5c
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Golden droplets- https://shorturl.at/fetV1
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The provided sources predominantly focus on the field of mineral exploration, specifically detailing advanced geological and geochemical methods used to discover and characterize ore deposits. Several documents explain techniques like lithogeochemical analysis and Pearce Element Ratios for understanding alteration halos around deposits, as demonstrated by the Elura Zn-Pb-Ag system. Other texts highlight the strategic use of advanced technology, such as machine learning algorithms (VNet) and stable isotope analysis, for mineral prospectivity mapping and targeting blind ore deposits, like those in the Las Mesas Project. Additionally, there are historical case studies, notably the Oyu Tolgoi copper-gold discovery in Mongolia, which emphasize the importance of blending international exploration techniques with local geological expertise. Collectively, the sources illustrate how modern mining geology relies on the integration of multi-scale, multi-modal data—including petrophysical measurements, remote sensing, and geophysical surveys—for efficient resource identification, feasibility studies, and environmental management.
The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
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ResearcherID: S-6604-2018
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https://youtu.be/j1oCyDrJQ3c
The bridge between Academy and Industry!
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Saturday, November 22, 2025
https://youtu.be/F6XZfb04Vbg
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https://youtu.be/Q2EJxFOay1I
🌊 The future of exploration is here!
Tune into our latest podcast to discover how integrated geosciences are reducing risks in the search for oil, minerals, and sustainable energy. 🌱💧
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https://youtu.be/rr8F36WbUfc
🔍 What if I told you that AI is revolutionizing geoscience?
In our newest episode, we explore how artificial intelligence enhances the integration of geological and geophysical data, leading to groundbreaking discoveries! 🚀🌐
What role do you think AI will play in the future of earth sciences? Comment below!
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💡 Did you know that the ambiguity in geophysical data can lead to unreliable models?
Join us in our latest podcast episode to learn how advanced joint inversion techniques are transforming the way we interpret these complex datasets! 🔍🧩
Have you ever faced challenges in understanding subsurface data? Let’s discuss!
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#DataAnalysis #Geoscience #AI #JointInversion #EarthScience #Podcast #TechTalk #ScienceCommunity #Geology
https://youtu.be/7dzCQhXs-eU
🧭 Ever wondered how geologists and geophysicists work together?
Our latest episode sheds light on the indispensable concept of integrated geosciences, showcasing their collaboration to create more reliable subsurface models! 📊✨
What intrigues you most about this partnership? Share your thoughts below!
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#Geophysics #Geologists #IntegratedScience #EarthExploration #Podcast #Geoscience #AI #ScienceFacts #Collaboration
https://youtu.be/tqDDi2Oz5WE
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🌍 Are you ready to unlock the secrets beneath our feet?
In our latest podcast, we dive into the magic of integrated geosciences, where geology meets cutting-edge AI! 🤖 Discover how these two fields combine to solve subsurface puzzles that were once thought impossible.
What’s your take on the synergy between geology and technology? Let’s chat in the comments!
#Geoscience #AI #Geology #EarthScience #DataFusion #Innovation #Podcast #ScienceCommunication #TechInGeoscience
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https://youtu.be/aM5aLIvp1ik
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Источники в основном сосредоточены на геонауках, в частности на геологии и геофизике, и подчеркивают растущую роль искусственного интеллекта (ИИ) и машинного обучения в этих дисциплинах. Одна из основных тем касается необходимости и передовых методов совместной инверсии мультифизических геофизических данных, таких как магнитные и электромагнитные измерения, для снижения неопределенности в моделях недр при разведке полезных ископаемых и углеводородов, с подробным обсуждением таких подходов, как грамианские ограничения.
Кроме того, в текстах объясняются разные, но взаимодополняющие роли геологов и геофизиков: геологи сосредоточены на наблюдениях и прямом анализе материалов, а геофизики применяют принципы физики и количественные методы для косвенного анализа свойств недр. В заключение дается всеобъемлющий обзор того, как ИИ меняет парадигмы геонаук, помогая во всем, от сбора и обработки данных до генерации гипотез и улучшения прогнозного моделирования систем Земли и геологических явлений.
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The sources primarily focus on the geosciences, particularly the fields of geology and geophysics, and highlight the growing role of Artificial Intelligence (AI) and machine learning in these disciplines. One major theme involves the necessity and advanced methods for joint inversion of multiphysics geophysical data, such as magnetic and electromagnetic measurements, to reduce uncertainty in subsurface models for mineral and hydrocarbon exploration, with approaches like Gramian constraints discussed in detail. Furthermore, the texts explain the distinct but complementary roles of geologists and geophysicists—where geologists focus on observation and direct material analysis, and geophysicists apply physics principles and quantitative methods to indirectly analyze subsurface properties. Finally, there is a comprehensive overview of how AI is transforming geoscience paradigms, assisting in everything from data collection and processing to generating hypotheses and improving predictive modeling for Earth systems and geological phenomena.
The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
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Las fuentes se centran principalmente en las geociencias, en particular en los campos de la geología y la geofísica, y destacan el papel cada vez más importante de la inteligencia artificial (IA) y el aprendizaje automático en estas disciplinas. Uno de los temas principales es la necesidad y los métodos avanzados para la inversión conjunta de datos geofísicos multifísicos, como las mediciones magnéticas y electromagnéticas, con el fin de reducir la incertidumbre en los modelos del subsuelo para la exploración de minerales e hidrocarburos, con enfoques como las restricciones de Gramian, que se analizan en detalle.
Además, los textos explican las funciones distintas pero complementarias de los geólogos y los geofísicos: los geólogos se centran en la observación y el análisis directo de materiales, mientras que los geofísicos aplican principios físicos y métodos cuantitativos para analizar indirectamente las propiedades del subsuelo. Por último, se ofrece una visión general completa de cómo la IA está transformando los paradigmas de las geociencias, ayudando en todo, desde la recopilación y el procesamiento de datos hasta la generación de hipótesis y la mejora de los modelos predictivos para los sistemas terrestres y los fenómenos geológicos.
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Junior and senior geologists, master the advanced geostatistics concept you need to survive modern exploration! We dive deep into the Kriging Estimate ERROR and its fundamental relationship to estimation variance and the pervasive smoothing effects inherent in geological models, exploring complex, sometimes chaotic, deterministic systems like those governing solar system mechanics. Learn why Ordinary Kriging maps inherently suffer from this smoothing when compared to stochastic simulation methods like Sequential Gaussian Simulation and how crucial crossvalidation is for assessing the actual estimation error and reliability of your spatial statistics models. This video targets the geological community, including structural geologists and ore prospectors, offering essential insights into overcoming the challenge of characterizing complex geological systems, a process where limited data invariably leads to uncertainty in the final geological models. Kriging is defined as a form of generalized linear regression designed to produce an optimal spatial estimator in a minimum mean-square-error sense, uniquely accounting for stochastic dependence among neighboring data points. We analyze the properties of key kriging variants, including Simple Kriging, Ordinary Kriging, and Universal Kriging, contrasting the stringent assumptions of each, such as the requirement of a known population mean in Simple Kriging versus the assumption of an unknown mean or localized trend in Ordinary Kriging. Understanding the fundamental relationship of spatial correlation through the accurate modeling of the semivariogram (using permissible models like Gaussian, Exponential, or Spherical) is vital, as errors are often correlated and the semivariogram of the errors can resemble that of the attribute being modeled.
The principles discussed extend beyond traditional earth sciences into other complex domains; for instance, understanding planetary chaos theory demonstrates the fundamental predictability limit imposed on astronomical solutions (AS), which form the basis for Milanković cycles used in astrochronology. We demonstrate the workflow for modeling Ordinary Kriging and assessing parameter optimality using powerful geostatistical software like SGeMS, comparing the resultant maps of estimated depth and kriging standard deviation. This comparison reveals that while kriging excels at minimizing mean square error, simulation methods generally offer a better representation of the true distribution and spatial continuity, making them preferable when accurate modeling of texture is critical .
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P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
Scopus Author ID: 7003369619/35335510700
ResearcherID: S-6604-2018
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References
Berliner, L. M. (1992). Statistics, probability and chaos. Statistical Science, 7(1), 69–90. Retrieved from http://links.jstor.org/sici?sici=0883-4237%28199202%297%3A1%3C69%3ASPAC%3E2.0.CO%3B2-1.
Chaos theory. (n.d.). [Unauthored textbook or excerpt].
Deterministic system. (n.d.). In Wikipedia. Retrieved from URL not provided in sources.
Employing Chaos Theory for Exploration– Exploitation Balance in Deep Reinforcement Learning. (n.d.). [Unauthored paper; further publication details missing].
Middleton, G. V. (1990). Non-linear dynamics and chaos: Potential applications in the Earth sciences. Geoscience Canada, 17(1).
Olea, R. A. (2018). A practical primer on geostatistics (Version 1.4). U.S. Geological Survey Open-File Report 2009–1103. https://doi.org/10.3133/ofr20091103.
r/AskPhysics. (n.d.). Are “random” and “chaotic” the same thing?. Reddit. [Source URL not provided in sources].
Statistical randomness. (n.d.). In Wikipedia. Retrieved from URL not provided in sources.
Wikipedia contributors. (n.d.). Chaos theory. In Wikipedia. Retrieved from URL not provided in sources.
Zeebe, R. E., & Kocken, I. J. (2025). Applying astronomical solutions and Milanković forcing in the Earth sciences. Earth-Science Reviews, 261(104959). https://doi.org/10.1016/j.earscirev.2024.104959.
Friday, November 21, 2025
https://youtu.be/Dsj1JQzW1l0
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The sources provide an overview of geostatistics, a specialized form of statistical analysis used primarily in geology, and explore the philosophical and mathematical connections between chaos, determinism, and statistical randomness. The geostatistics source, a primer from the U.S. Geological Survey (USGS), focuses on characterizing incomplete spatial systems using techniques like kriging and simulation, often employing the SGeMS software package. Concurrently, the other sources address the unexpected appearance of randomness within strictly deterministic dynamical systems (chaos), highlighting the role of ergodic theory in linking these concepts and the statistical challenges of making predictions in such complex, non-linear time series. Both sets of information discuss using probabilistic models and numerical techniques to manage the inherent uncertainty in complex systems, whether spatial or temporal.
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Thursday, November 20, 2025
https://youtu.be/hH4lWzidU3c
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Valls Geoconsultant
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https://youtu.be/NKjmaVYyjcc
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The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
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Valls Geoconsultant
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https://youtu.be/TkTszSSuISE
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Valls Geoconsultant
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P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
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https://youtu.be/GT0ErBUlwoo
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Valls Geoconsultant
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https://youtu.be/T3IC_S77aHI
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Valls Geoconsultant
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P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
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Valls Geoconsultant
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Valls Geoconsultant
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Valls Geoconsultant
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The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
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Original source: https://www.thesify.ai/blog/predatory-conferences-warning-signs-and-how-to-avoid-them?utm_source=thesifyai&utm_medium=email&utm_campaign=short17.11.25
**Junior geologists, senior geologists, and earth science students** must master the **practical guidance** for **avoiding predatory conferences** and maintaining **research integrity** in their academic and professional careers. This comprehensive guide is essential for the **geological community**, including **structural geologists**, **specialists in tectonics**, and **ore prospectors** seeking to recognize **warning signs** of **fake conferences**, such as overly ambitious titles, vague peer review processes, or excessively **high registration fees**.
Predatory conferences, sometimes referred to as “bogus” or “questionable” scholarly events, are organized primarily by for-profit companies whose goal is to collect fees while providing weak or no peer review for presentations. These events thrive by exploiting the intense pressure, particularly faced by early-career researchers, to increase their academic output. A major red flag is when conferences skip peer review, which is the foundation for building a high-quality program. Organizers often promise unrealistic timelines, leading to abstracts being accepted within unrealistically short timeframes, sometimes as quickly as 24 to 48 hours. Researchers, including those focused on modern techniques of exploration, geochemistry, and the use of ML and AI, should be wary of conferences using buzzwords like "international" or "global" in their titles to draw in presenters, or those whose technical program is unusually broad or attempts to combine different disciplines in unusual ways, sometimes using the term "interdisciplinary". The conference website itself often contains **warning signs**, such as spelling and grammar mistakes, bizarre language, or poor-quality content.
Furthermore, organizers of **predatory conferences** frequently attempt to appear legitimate by falsely claiming major organizations or renowned scholars as sponsors, partners, or committee members without their consent or knowledge. Other suspicious characteristics include difficult-to-locate or unverifiable contact details, holding multiple conferences concurrently in the same location, or holding events in popular tourist destinations. You should also compare registration fees with those of established conferences in the **earth sciences** niche, as high fees are a common practice used to maximize profit.
To avoid falling prey to these schemes, thoroughly research the organizer, check for an affiliation with an established professional society in your field, and seek the opinion of more experienced colleagues or mentors. You can use resources like the **Think. Check. Attend** questionnaire to evaluate the conference’s legitimacy before you submit your work or pay registration fees. For those aiming for high-quality academic output, remember that prestigious indexing databases like Scopus require proceedings to demonstrate rigorous peer-review, transparent editorial policies, and ethical standards.
The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
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https://youtu.be/nDElUims0hg
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P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
Scopus Author ID: 7003369619/35335510700
ResearcherID: S-6604-2018
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Wednesday, November 19, 2025
https://youtu.be/wh0hAoXVDr8
This video bridges the cultural divide between geologists and drillers to maximize exploration success and drilling optimization, emphasizing how Machine Learning (ML) and Artificial Intelligence (AI) utilize real-time data from techniques like XRF core scanning to mitigate subsurface risks like lost circulation and wellbore instability. While the relationship between geologists and drillers may sometimes be defined by colorful stereotypes—where geologists are seen as "overpaid, know-it-all, four-eyed oddballs" who "lick rocks" and drillers are viewed as a "necessary evil" focused only on "making hole"—the reality is that these professions are kindred spirits, equally critical for achieving project goals and subsequent discoveries.
Success fundamentally relies on mutual respect and effective communication, addressing the common trait of poor communication skills that contributes to misunderstandings. We delve into the critical applications of AI and ML in predicting potential drilling hazards and enabling dynamic adjustments during operations. Enhanced reservoir characterization achieved through advanced subsurface imaging and analysis is essential for reducing high-stakes drilling risks. Identifying geological controls and geo-mechanical controls is paramount; features such as unconformities, highly fractured zones, karst, vugular zones, and fault zones can all dramatically increase non-productive time (NPT) and costs due to borehole instability or loss of circulation. To combat these uncertainties, technologies like semiautomated XRF core scanning (TruScan) provide geologists with near-real-time delivery of sensor-derived metal values and objective physical and chemical data, effectively eliminating subjective observations and observational biases inherent in manual logging.
This high-resolution geochemistry data supports geology-led knowledge generation, freeing up geologists to focus on critical interpretation rather than routine tasks. This integrated approach allows for advanced directional drilling methods, such as the specialized multi-crossing strategy successfully deployed to intersect multiple permeable fault zones in a single well path at geothermal fields like Tungsten Mountain, Nevada. Furthermore, continuous drilling optimization is supported by a continuous improvement cycle that emphasizes a direct communication channel between design engineers, the well manager, the geologist, and drilling optimization engineers. Ultimately, every successful exploration success adds to the rich heritage of the petroleum geologist, underscoring the indispensable qualities required of junior and senior geologists and resource prospectors: persistence, courage of conviction, and continuous learning.
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Valls Geoconsultant
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ResearcherID: S-6604-2018
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Tuesday, November 18, 2025
https://youtu.be/OA7gayox3qk
Geologists: conduct a fair lab audit for accurate results.
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STOP Auditing Your Lab WRONG! Geologist's Secret. This video provides the essential guide for junior and senior geologists on how to conduct a fair and objective audit of a lab to ensure high-quality geochemical data and accurate results for your exploration projects (Valls, n.d.-a; Smee, n.d.-a; Geboy & Engle, 2011). The rigorous systematic examination and testing provided by laboratory analysis are crucial in understanding geological formations and processes, complementing field observations and allowing geoscientists to draw conclusions based on empirical evidence (Fiveable, 2025; National Geological Surveys Committee, 2022).
The principal investigator (geologist) ultimately remains responsible for the quality and interpretation of the project's findings, necessitating a deep understanding of Quality Assurance and Quality Control (QA/QC) protocols throughout the project's life (Geboy & Engle, 2011). A proper lab audit should begin with an announced visit, as recommended, to ensure staff availability, and involves treating the auditor as a sample to trace the entire process step-by-step (Valls, n.d.-a). Crucial steps to verify start with the sample reception area, checking procedures for sequencing, duplicate numbers, or tampered sample bags (Valls, n.d.-a). Weight checking is vital for controlling the chain of custody and normalizing data, requiring a comparison between the sample weight leaving the field and the weight upon arrival at the lab (Valls, n.d.-a). Special attention must be paid to the sample preparation area, specifically the crushers and pulverizers, where cleanliness is critical to prevent contamination, especially from dust, which can affect analytical data (Valls, n.d.-a; Mineral Laboratory Assistant III, n.d.).
High-quality laboratories should utilize systems to control dust emission or, ideally, use dedicated lines of machinery for specialized samples like high-grade ore (Valls, n.d.-a). The most important technical verification step is the granulometry check, which confirms that the resulting pulp is truly representative of the initial material taken from the field, meeting the required mesh size specifications (Valls, n.d.-a; McLemore, 2020). Geologists must embed specific QA/QC requirements, such as machine cleaning intervals and procedures for dealing with quality control failures, directly into the contractual agreements with the laboratory (Valls, n.d.-a). Furthermore, the geologist must introduce their own independent quality control samples—including blanks, duplicates, and certified reference materials (RMs)—to monitor the precision and accuracy of the results, preventing the subconscious "handling with kid gloves" of RMs by analysts who know the standard's value (Valls, n.d.-a; McLemore, 2020; Geboy & Engle, 2011).
Finally, laboratory analysis includes chemical processes like fire assay or multi-element analysis, which require chemical expertise and clean working environments, including solid, non-vibrating tables for analytical balances used for gravimetric measurements (Valls, n.d.-a). All these steps, when properly documented in a Quality Assurance report, provide crucial evidence required by qualified persons (QPs) for technical reports and regulatory compliance (Valls, n.d.-a; Smee, n.d.-a; McLemore, 2020).
The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
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ResearcherID: S-6604-2018
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Some References
Bristow, J., Lawless, P., McKechnie, B., & Haggerty, S. (2024). Celebrating the lives and contributions of colleagues, geologists, mineralogists and legends who shaped the diamond legacy (12th International Kimberlite Conference Extended Abstract No. 12IKC-SPEC-2024).
Cohen, R., Maes, S., & Hishe, H. (n.d.). Practitioner-researcher partnerships: Perspectives from two sides of the same coin. KU Leuven, Department of Earth and Environmental Sciences.
Fiveable Inc. (2025). Laboratory analysis. In Intro to geology review: Key term.
Glazner, A. F., Baker, V. R., Bartley, J. M., Bohacs, K. M., & Coleman, D. S. (2022). The rocks don’t lie, but they can be misunderstood. GSA Today, 32(10), 4–10. https://doi.org/10.1130/GSATG535A.1
Province of British Columbia. (2013). Quality control and quality assurance. Field Sampling Manual, Part A.
Smee, B. W. (2025). How to audit a laboratory [Seminar]. Smee and Associates Consulting Ltd.
https://youtu.be/_KJHRpbjhKc
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The presentation outlines the essential, yet often strained, collaboration between geologists and drillers for project success. It highlights the need to overcome poor communication and utilize technology like XRF scanning for objective, near-real-time data. Integrating real-time data analytics and ML is crucial for drilling optimization, reducing loss of circulation risks. High-quality subsurface data quantifiably improves financial forecasts and increases NPV. Examples from Mak-Ban Geothermal (deep casing strategy) and Tungsten Mountain (multi-crossing) illustrate complex well planning and the value of persistence in resource discovery.
The bridge between Academy and Industry!
P. Geo. Ricardo A Valls, M. Sc. and Geo Gadfly
Valls Geoconsultant
ORCID ID- https://orcid.org/0000-0002-5421-0914
Scopus Author ID: 7003369619/35335510700
ResearcherID: S-6604-2018
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