Caribbean Geology: January 2025

Thursday, January 30, 2025

https://youtu.be/1nRXfz4-qeo

On January 30, 2025, gold prices reached a new all-time high, with spot gold rising 1.2% to $2,793.25 an ounce, after peaking at $2,798.50 earlier in the session. This surge is attributed to recent U.S. economic data that weakened the dollar and increased safe-haven demand driven by President Donald Trump's tariff threats against Mexico, Canada, and potentially China. The U.S. dollar dipped approximately 0.2% following GDP growth figures that fell short of economist expectations, making gold more attractive to investors. ([mining.com](https://www.mining.com/gold-price-sets-new-all-time-high-amid-tariff-threats/?utm_source=chatgpt.com)) Analysts suggest that the softer GDP data has heightened expectations for potential interest rate cuts by the Federal Reserve, further bolstering gold's appeal. Ole Hansen, head of commodities strategy at Saxo Bank, noted that the weaker growth and lower prices could pave the way for additional rate cuts. Additionally, the Trump administration's plans to impose steep tariffs have created uncertainty, prompting investors to seek refuge in gold as a safe-haven asset. Jim Wyckoff, a senior market analyst at Kitco Metals, emphasized the growing anxiety surrounding these new trade policies. ([mining.com](https://www.mining.com/gold-price-sets-new-all-time-high-amid-tariff-threats/?utm_source=chatgpt.com)) 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/1nRXfz4-qeo

Tuesday, January 28, 2025

https://youtu.be/3bDMcrs4Pto

Imagine a world where we can uncover hidden mineral deposits with unprecedented accuracy, revolutionizing the field of mineral exploration. That's exactly what a groundbreaking new study has achieved with the introduction of the dual-DL model, an innovative unsupervised spatial-spectrum deep learning method for identifying geochemical anomalies. This cutting-edge approach combines the power of artificial intelligence with expert geological knowledge, offering a powerful new tool for geologists and mining professionals. In our latest video, we dive deep into this game-changing research, exploring how the dual-DL model simultaneously analyzes both spatial patterns and elemental compositions in geochemical data. We'll uncover how this method outperforms traditional techniques, and how it integrates geological expertise to improve accuracy and interpretability. Whether you're a seasoned geologist or simply fascinated by the intersection of AI and Earth sciences, this video promises to unveil the future of mineral exploration. Don't miss this opportunity to stay at the forefront of geochemical analysis and discover how AI is reshaping our understanding of the Earth's hidden treasures. [1] https://ppl-ai-file-upload.s3.amazonaws.com/web/direct-files/50174/5bf1fbea-16ec-4a83-ac4d-9fda8758f6e8/Journal-of-Geophysical-Research-Machine-Learning-and-Computation-2025-Xu-Geological-Knowledge-Guided-Dual-Branch.pdf 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

Sunday, January 26, 2025

https://youtu.be/CaY_3YA7dgA

This paper explores the use of full-waveform inversion (FWI) to analyze Earth's mantle structure, revealing a more complex and heterogeneous picture than previously seen with traditional travel-time tomography. The study highlights numerous previously undetected positive wave speed anomalies in the mid- and lower mantle, many of which are located below major oceans and continental interiors with no record of subduction. These findings challenge the long-held assumption that most lower mantle positive wave speed anomalies represent cold, subducted slabs. The research indicates that these anomalies may have diverse origins, including delaminated lithosphere, compositional variations, and other thermal and chemical heterogeneities. The authors emphasize that the spatial bias of travel-time tomography may have led to the previously assumed correlation between positive anomalies and subduction zones. The study also demonstrates that FWI is more sensitive to mantle structure, particularly in regions with limited seismic sources and receivers, and is less dependent on source-receiver geometry than travel-time tomography. The results suggest that a one-to-one correspondence between positive wave speed anomalies and subducted slabs is unlikely. Statistical analysis in this paper shows no significant correlation between positive wave speed anomalies and reconstructed locations of former subduction zones when using FWI data. These findings underscore the potential of FWI for future mantle exploration and highlight the need to reconsider the interpretation of mantle structures and the dynamics of convection. 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

Saturday, January 25, 2025

https://youtu.be/d2kf43PicgI

DOI: 10.31219/osf.io/jv4k3 This paper presents a novel gradient method for identifying geochemical anomalies in mineral exploration. The author argues that the difference between sample values (gradient) is more informative than the actual values themselves when interpreting geochemical survey results. The method involves using Excel to calculate gradients between adjacent samples and visualizing the results using stacked column graphics. Three models are presented to demonstrate the technique's effectiveness, including two theoretical models and one real-world case study from Colombia[1]. The gradient method proves to be a quick and easy way to locate prospective geochemical anomalies. By analyzing both the original gradients and their absolute values, geochemists can gain insights into the spatial distribution of anomalous values. The paper concludes that this approach is particularly useful when traditional sample value analysis may be limited by factors such as mineralization depth or distance from the source. The author recommends using a combination of gradient analysis techniques to provide a more comprehensive understanding of potential mineral deposits. [1] https://ppl-ai-file-upload.s3.amazonaws.com/web/direct-files/50174/e9760ea7-485d-465e-95dd-074142fe5307/Gradient-method.pdf 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/mJx7Sd7Akjc

¿Ya tienes este libro? Puedes adquirirlo en Amazon en su versión de papel y electrónica- https://shorturl.at/HGIzJ 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/bnJlUiyO2sM

У Вас уже есть эта книга? Вы можете купить ее на Amazon в бумажной и электронной версии - https://shorturl.at/HGIzJ. 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, January 24, 2025

https://youtu.be/gZsmyzbI72c

https://www.amazon.ca/Quality-Assurance-Control-Field-Work/dp/1533192073 Fellow geologists, consider the critical importance of precision and reliability in our fieldwork. "Quality Assurance & Quality Control for the Field Work: A Guideline for Private and Public Companies" by Ricardo Valls is an essential resource designed to enhance the accuracy and consistency of your geological projects. This comprehensive guide offers a structured quality assurance program covering field sampling procedures, including collection, labeling, and shipping components. It also establishes standardized procedures for logging and general mapping, which are particularly vital in larger projects involving multiple geologists. Implementing these protocols can significantly improve the integrity of your data and the overall success of your projects. Investing in this guide means investing in the quality and credibility of your geological work. Don't miss the opportunity to elevate your field practices with this invaluable resource. 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

Tuesday, January 21, 2025

https://youtu.be/s8EUz4jubOQ

Geologic hydrogen is a potential clean energy source that occurs naturally in the Earth's subsurface. It does not release carbon dioxide when burned, making it an attractive alternative to fossil fuels. This paper presents the first publicly available prospectivity map of geologic hydrogen accumulations in the conterminous United States. The map identifies regions with high prospectivity where the necessary components for hydrogen accumulation are likely present. These components include a source of hydrogen generation, porous reservoirs for storage, and seals to prevent leakage. The study identifies serpentinization, radiolysis, and deep sources as potential mechanisms for hydrogen generation. Serpentinization involves the reaction of water with iron-containing minerals in ultramafic rocks, while radiolysis occurs when groundwater interacts with radiogenic rocks. Deep sources may originate from the lower crust or Earth’s interior. The map reveals the midcontinent region, particularly Michigan, Kansas, Texas, Oklahoma, the Williston Basin, and the Four Corners region, as having high prospectivity for geologic hydrogen. This research provides a framework for guiding future exploration and research efforts for this potential energy resource. 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

Monday, January 20, 2025

https://youtu.be/4du3e914BRQ

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/Js7-viKp9pE

https://youtu.be/jrPj_mz4J-4

https://youtu.be/gzv5y7j85fY

https://youtu.be/DdXmI-JgXNg

These eight sources explore the groundbreaking ways artificial intelligence (AI) is transforming the field of geology. From mineral exploration to geochemistry, AI is proving to be an invaluable tool for geoscientists. Advanced techniques like machine learning, deep learning, and compositional data analysis (CoDA) are enabling researchers to analyze vast amounts of data, identify hidden patterns, and make more accurate predictions. AI is being used to locate hidden mineral deposits, predict complex geology before drilling, and even understand the formation and transportation of gold. These sources emphasize that AI is not replacing geologists, but rather empowering them with new tools and insights. The combination of AI's data processing capabilities with expert geological knowledge is leading to more efficient, effective, and sustainable practices in the field of Earth Science. The research highlighted in these sources demonstrates that AI is not just a futuristic concept, but a powerful force already reshaping how we understand and interact with our planet. 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/3J00_6WNrH0

Эти восемь источников исследуют революционные способы, которыми искусственный интеллект (ИИ) преобразует область геологии. От разведки полезных ископаемых до геохимии, ИИ оказывается бесценным инструментом для геологов. Такие передовые методы, как машинное обучение, глубокое обучение и композиционный анализ данных (CoDA), позволяют исследователям анализировать огромные объемы данных, выявлять скрытые закономерности и делать более точные прогнозы. ИИ используется для поиска скрытых месторождений полезных ископаемых, прогнозирования сложной геологии перед бурением и даже для понимания процесса образования и транспортировки золота. В этих источниках подчеркивается, что ИИ не заменяет геологов, а скорее расширяет их возможности, предоставляя новые инструменты и знания. Сочетание возможностей ИИ по обработке данных с экспертными геологическими знаниями приводит к более эффективным, действенным и устойчивым практикам в области наук о Земле. Исследования, представленные в этих источниках, демонстрируют, что ИИ - это не просто футуристическая концепция, а мощная сила, уже меняющая то, как мы понимаем нашу планету и взаимодействуем с ней. 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/KCdlv8S5bTU

Estas ocho fuentes exploran las revolucionarias formas en que la inteligencia artificial (IA) está transformando el campo de la geología. Desde la exploración minera hasta la geoquímica, la IA está demostrando ser una herramienta inestimable para los geocientíficos. Técnicas avanzadas como el aprendizaje automático, el aprendizaje profundo y el análisis composicional de datos (CoDA) están permitiendo a los investigadores analizar grandes cantidades de datos, identificar patrones ocultos y hacer predicciones más precisas. La IA se está utilizando para localizar yacimientos minerales ocultos, predecir la geología compleja antes de perforar e incluso comprender la formación y el transporte del oro. Estas fuentes subrayan que la IA no está sustituyendo a los geólogos, sino potenciándolos con nuevas herramientas y conocimientos. La combinación de las capacidades de procesamiento de datos de la IA con los conocimientos geológicos de los expertos está dando lugar a prácticas más eficientes, eficaces y sostenibles en el campo de las Ciencias de la Tierra. Las investigaciones destacadas en estas fuentes demuestran que la IA no es sólo un concepto futurista, sino una poderosa fuerza que ya está remodelando la forma en que comprendemos nuestro planeta e interactuamos con él. 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

Thursday, January 16, 2025

https://youtu.be/GjClf_NcgTE

Ученые обнаружили загадочные сгустки, известные как крупные провинции с низкой скоростью сдвига (LLVP), глубоко в мантии Земли, где сейсмические волны движутся медленнее. Эти сгустки, расположенные под Африкой и Тихим океаном, составляют около 4% мантии. Согласно одной из теорий, эти пятна могут быть остатками протопланеты размером с Марс, которая столкнулась с Землей 4,5 миллиарда лет назад, образовав Луну. В результате столкновения верхняя половина мантии Земли расплавилась, что позволило плотному куску импактора быть захваченным твердой нижней мантией. Этот кусок опустился бы на дно и затвердел, стабилизировавшись вблизи границы между ядром и мантией благодаря своей более высокой плотности. Новая техника визуализации, называемая инверсией полных волн, обнаружила еще больше этих загадочных пятен в неожиданных местах мантии Земли. Некоторые исследователи считают, что эти пятна могут быть субдуцированными плитами древней земной коры, но другие предполагают, что они могут быть остатками материала, оставшегося после формирования мантии, или плотным материалом, выросшим внутри мантии. Необходимо провести дополнительные исследования, чтобы определить точную природу этих пятен, которые были названы «затонувшими мирами». Сравнение вулканических пород из областей, расположенных над блобами, с лунными породами может помочь определить, имеют ли они общее происхождение, что потенциально подтвердит теорию протопланет. https://www.livescience.com/planet-earth/geology/scientists-discover-sunken-worlds-hidden-deep-within-earths-mantle-that-shouldnt-be-there https://www.livescience.com/planet-earth/geology/a-protoplanet-that-created-the-moon-may-be-hiding-deep-inside-earth 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/-VWmlCiNNnM

Scientists have discovered mysterious blobs, known as large low-shear-velocity provinces (LLVPs), deep within Earth's mantle where seismic waves move more slowly. These blobs, located beneath Africa and the Pacific Ocean, make up about 4% of the mantle. One theory suggests that these blobs may be remnants of a Mars-sized protoplanet that collided with Earth 4.5 billion years ago, forming the moon. This impact would have melted the upper half of Earth's mantle, allowing a dense chunk of the impactor to be captured by the solid lower mantle. This chunk would have sunk and solidified, stabilizing near the core-mantle boundary due to its higher density. A new imaging technique called full-waveform inversion has revealed even more of these mysterious blobs in unexpected locations throughout Earth's mantle. While some researchers believe these blobs could be subducted slabs of ancient Earth crust, others propose they might be leftover material from the mantle's formation or dense material that has grown within the mantle. More research is needed to determine the exact nature of these blobs, which have been dubbed "sunken worlds". Comparing volcanic rocks from areas above the blobs with lunar rocks could help determine if they share a common origin, potentially supporting the protoplanet theory. Sources: https://www.livescience.com/planet-earth/geology/scientists-discover-sunken-worlds-hidden-deep-within-earths-mantle-that-shouldnt-be-there https://www.livescience.com/planet-earth/geology/a-protoplanet-that-created-the-moon-may-be-hiding-deep-inside-earth 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, January 15, 2025

https://youtu.be/GjClf_NcgTE

https://youtu.be/-VWmlCiNNnM

Tuesday, January 14, 2025

https://youtu.be/NfZwycwTFZ0

El Análisis de Datos Composicionales (CoDA) es una poderosa herramienta en Ciencias de la Tierra, especialmente en geoquímica y geología. Aborda los problemas estadísticos inherentes que plantean los datos composicionales: datos que representan partes de un todo, sujetos a una restricción de suma constante. El CoDA utiliza técnicas como las transformaciones log-ratio para analizar los datos composicionales evitando problemas como las correlaciones espurias y la no normalidad. El CoDA tiene numerosas aplicaciones en las Ciencias de la Tierra, como la caracterización de aguas subterráneas, la proveniencia forense de suelos, el análisis de sedimentos lacustres, la petrología, la exploración minera y el análisis de rocas sedimentarias. La integración del CoDA con otras técnicas analíticas, como la espectrometría de fluorescencia de rayos X y la espectrometría de rayos gamma, ofrece un potente enfoque para desentrañar procesos geológicos y geoquímicos complejos. A pesar de sus éxitos, siguen existiendo varios retos en la aplicación del CoDA a los datos de las ciencias de la Tierra. Estos retos incluyen la necesidad de software y conocimientos especializados, la complejidad de interpretar los resultados en el contexto de procesos geológicos complejos y el tratamiento de las incertidumbres en los datos de composición. Es necesario seguir investigando y desarrollando métodos de CoDA adaptados a problemas geológicos y geoquímicos específicos para mejorar sus capacidades en la investigación de las ciencias de la Tierra. El desarrollo y la aplicación continuados del CoDA, junto con su integración con otras técnicas analíticas y conocimientos geológicos, impulsarán sin duda nuestra comprensión de los procesos y recursos de la Tierra. 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/qiD5SCvXLxg

Анализ композиционных данных (CoDA) - это мощный инструмент в науках о Земле, особенно в геохимии и геологии. Он решает статистические проблемы, присущие композиционным данным - данным, представляющим части одного целого и подчиняющимся ограничению постоянной суммы. CoDA использует такие методы, как преобразование логарифмов, для анализа композиционных данных, избегая при этом таких проблем, как ложные корреляции и ненормальность. CoDA находит множество применений в науках о Земле, включая определение характеристик грунтовых вод, судебную экспертизу почв, анализ озерных отложений, петрологию, разведку полезных ископаемых и анализ осадочных пород. Интеграция CoDA с другими аналитическими методами, такими как рентгенофлуоресцентная спектрометрия и гамма-спектрометрия, предлагает мощный подход к разгадке сложных геологических и геохимических процессов. Несмотря на успехи, в применении CoDA к данным наук о Земле остается несколько проблем. Эти проблемы включают необходимость в специализированном программном обеспечении и опыте, сложность интерпретации результатов в контексте сложных геологических процессов, а также устранение неопределенностей в данных о составе. Для расширения возможностей CoDA в исследованиях в области наук о Земле необходимы дальнейшие исследования и разработка методов CoDA, адаптированных к конкретным геологическим и геохимическим проблемам. Дальнейшее развитие и применение CoDA, а также его интеграция с другими аналитическими методами и геологическими знаниями, несомненно, углубит наше понимание процессов и ресурсов Земли. 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/PztdYFOU4wo

Compositional Data Analysis (CoDA) is a powerful tool in Earth Sciences, particularly in geochemistry and geology. It addresses the inherent statistical problems posed by compositional data – data representing parts of a whole, subject to a constant sum constraint. CoDA uses techniques like log-ratio transformations to analyze compositional data while avoiding issues such as spurious correlations and non-normality. CoDA has numerous applications in Earth Sciences, including groundwater characterization, forensic soil provenancing, analysis of lake sediments, petrology, mineral exploration, and sedimentary rock analysis. The integration of CoDA with other analytical techniques, such as X-ray fluorescence spectrometry and gamma-ray spectrometry, offers a powerful approach to unraveling complex geological and geochemical processes. Despite its successes, several challenges remain in applying CoDA to Earth science data. These challenges include the need for specialized software and expertise, the complexity of interpreting results in the context of complex geological processes, and addressing uncertainties in compositional data. Further research and development of CoDA methods tailored to specific geological and geochemical problems are necessary to enhance its capabilities in Earth science research. The continued development and application of CoDA, along with its integration with other analytical techniques and geological knowledge, will undoubtedly further our understanding of the Earth's processes and resources. 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/8zit3E_zhV0

Sunday, January 12, 2025

https://youtu.be/QYvfverrIyc

https://youtu.be/NSkiuG89y6g

https://youtu.be/-p8DGVtkmVY

https://youtu.be/ovMQOOBMbDw

https://youtu.be/yWkDQCGmdlc

https://youtu.be/QjcbJUQ6LZo

https://youtu.be/-mbyKdRBp0s

https://youtu.be/sRWdALeHy7Y

https://youtu.be/PGAZDlhL9tI

https://youtu.be/PztdYFOU4wo

https://youtu.be/qiD5SCvXLxg

Saturday, January 11, 2025

https://youtu.be/nugK-ZEaM4o

Недавнее исследование Женевского университета пролило свет на механизмы, с помощью которых золото переносится из глубин мантии Земли на ее поверхность. При столкновении тектонических плит субдуцирующая плита генерирует магму, богатую летучими веществами, такими как вода, сера и хлор. Поднимаясь вверх, эти магмы выделяют магматические жидкости, которые связываются с металлами, такими как золото и медь, облегчая их путь к земной коре. Исследование подчеркивает ключевую роль серы, особенно в ее бисульфидной (HS-) форме, в этом процессе переноса металлов. Используя инновационные экспериментальные методики, исследователи воспроизвели условия высокого давления и высокой температуры в природных магмах. Проанализировав синтетические магматические флюиды, застрявшие внутри кварца при температуре до 875 °C, они определили, что бисульфид является доминирующим видом серы, ответственным за мобилизацию золота. Это открытие расширяет наше понимание геохимических процессов, которые концентрируют драгоценные металлы, и может иметь значительные последствия для стратегий поиска полезных ископаемых. 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/YnSLBP_pnCE

Una investigación reciente de la Universidad de Ginebra ha arrojado luz sobre los mecanismos por los que el oro es transportado desde las profundidades del manto terrestre hasta su superficie. Cuando las placas tectónicas chocan, la placa que subduce genera magmas ricos en volátiles como el agua, el azufre y el cloro. A medida que estos magmas ascienden, liberan fluidos magmáticos que se unen a metales como el oro y el cobre, facilitando su viaje hacia la corteza terrestre. El estudio destaca el papel fundamental del azufre, sobre todo en su forma bisulfuro (HS-), en este proceso de transporte de metales. Utilizando técnicas experimentales innovadoras, los investigadores reprodujeron las condiciones de alta presión y alta temperatura de los magmas naturales. Analizando fluidos magmáticos sintéticos atrapados en cuarzo a temperaturas de hasta 875 °C, determinaron que el bisulfuro es la especie de azufre dominante responsable de la movilización del oro. Este descubrimiento mejora nuestra comprensión de los procesos geoquímicos que concentran los metales preciosos y podría tener importantes implicaciones para las estrategias de exploración minera. 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/YQWuaLUxcq4

Recent research from the University of Geneva has shed light on the mechanisms by which gold is transported from deep within the Earth's mantle to its surface. When tectonic plates collide, the subducting plate generates magmas rich in volatiles like water, sulphur, and chlorine. As these magmas ascend, they release magmatic fluids that bind with metals such as gold and copper, facilitating their journey toward the Earth's crust. The study highlights the pivotal role of sulphur, particularly in its bisulphide (HS⁻) form, in this metal transport process. Utilizing innovative experimental techniques, the researchers replicated the high-pressure and high-temperature conditions of natural magmas. By analyzing synthetic magmatic fluids trapped within quartz at temperatures up to 875 °C, they determined that bisulphide is the dominant sulphur species responsible for mobilizing gold. This discovery enhances our understanding of the geochemical processes that concentrate precious metals and could have significant implications for mineral exploration strategies. 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, January 10, 2025

https://youtu.be/lv1jP082dlk

https://youtu.be/0UzeuDLWqVQ

https://youtu.be/3tjIdO4gwVA

https://youtu.be/z4qhJH7_OHE

https://youtu.be/A0VSDKhRQxQ

https://youtu.be/P4bl3YAVIv4

https://youtu.be/nugK-ZEaM4o

https://youtu.be/YQWuaLUxcq4

https://youtu.be/YnSLBP_pnCE

https://youtu.be/dyGYrJc-Ne0

Geologists have utilized an innovative high-resolution model to examine the Earth's mantle structure, leading to the discovery of unexpected zones beneath the western Pacific Ocean. These zones exhibit characteristics akin to remnants of submerged tectonic plates but are situated far from known plate boundaries where subduction typically occurs. Notably, there is no geological evidence of subduction in these specific locations, presenting a challenge to existing plate tectonic theories and prompting new inquiries into the Earth's internal dynamics. This breakthrough was achieved through the application of full-waveform inversion, a technique that analyzes all types of seismic waves generated by earthquakes. By studying how these waves propagate through the Earth's interior, scientists can infer details about its density and composition. The findings, published in the journal Scientific Reports, suggest that our understanding of the Earth's internal processes may need to be reevaluated in light of these enigmatic structures. 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

Thursday, January 9, 2025

https://youtu.be/OY0A1FZ7nUs

This groundbreaking research introduces a novel data-knowledge dual-driven model that combines artificial intelligence with mineral systems approach for mineral prospectivity mapping. The study focuses on Fe polymetallic deposits in southwestern Fujian Province, China, integrating geological, geochemical, and geophysical data through advanced machine learning techniques including Graph Convolutional Neural Networks (GCNs) and Long Short-Term Memory (LSTM) networks. The model's architecture innovatively incorporates both data-driven learning and geological knowledge constraints, allowing for more accurate identification of potential mineral deposits. The research demonstrates that by using appropriate node thresholds in heterogeneous graphs, the model can effectively characterize mineral system components and their interactions, leading to improved prediction performance in identifying prospective areas for Fe deposits. 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, January 8, 2025

https://youtu.be/Z1JqS4Svd5s

The Qing-Chengzi deposit in China presents a unique challenge for mineral exploration, with shallow deposits depleted and the need to search deeper. Researchers have employed high-precision ground magnetic surveys to map subsurface structures, using variations in the Earth's magnetic field to indicate the presence of ore deposits. The study showcases advanced techniques such as remanence correction, lineament enhancement, and 3D inversion to create a detailed picture of the subsurface geology. The research has revealed a complex network of faults and previously unknown rock bodies at depths of several hundred meters to three kilometers, suggesting significant potential for deeper ore deposits. This study not only validates existing knowledge of the area but also provides a blueprint for future exploration in similar geological settings worldwide. The integration of advanced technology and geophysical methods demonstrates the evolving nature of mineral exploration, offering both scientific insights and economic opportunities in the field of geology. 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/hIQsP0lD3R8

https://youtu.be/kDmt36cwJ_4

https://youtu.be/LOjaAdIy4YU

https://youtu.be/YQPMRFmDT5I

https://youtu.be/c37NFMs5630

Tuesday, January 7, 2025

https://youtu.be/LYcOQ9B3ctQ

The discussion revolves around a groundbreaking paper that introduces a novel approach to predicting complex geology before drilling begins in the oil and gas industry. This innovative method combines Generative Adversarial Networks (GANs) and Forward Deep Neural Networks (FDNNs) to create a powerful decision support system (DSS) for geosteering. GANs generate realistic geological models by learning from high-fidelity simulations, while FDNNs act as fast proxies for computationally expensive electromagnetic simulators. This combination allows for real-time updates and adjustments during drilling operations, significantly improving efficiency and accuracy. The system employs data assimilation methods, including Markov Chain Monte Carlo (MCMC) and Ensemble Randomized Maximum Likelihood (EnRML), to balance computational speed and accuracy. The approach demonstrates a significant reduction in geological uncertainty ahead of the drill bit, leading to more confident decision-making and improved well placement. The research highlights the potential for this technology to revolutionize geosteering operations, particularly in complex geological environments. However, challenges remain, including the need for high-quality, machine-readable data and addressing label noise in training data. The importance of model interpretability and interdisciplinary collaboration between geoscientists and machine learning experts is also emphasized. 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

Monday, January 6, 2025

https://youtu.be/hbkv05zCM5E

• La investigación se centra en los controles estructurales del yacimiento de oro orogénico de Oberon, en Australia, destacando la influencia de las perturbaciones tectónicas en el campo de tensiones regional. • Analiza la evolución del sistema desde un régimen de deformación transcurrente a un régimen de acortamiento inverso, impulsado por la presión de fluidos hidrotermales en un entorno de baja tensión diferencial. • El estudio agradece a los custodios tradicionales del terreno y el apoyo financiero de Newmont Exploration Pty Ltd. • Se analizan las características geológicas clave, incluidas la foliación y las vetas mineralizadas, para comprender su relación con la mineralización del oro. 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/zVZurXHyb8w

• Исследование посвящено структурному контролю орогенного золоторудного месторождения Оберон в Австралии, подчеркивая влияние тектонических возмущений на региональное поле напряжений. • В исследовании рассматривается эволюция системы от режима транскуррентной деформации к режиму обратного укорочения, вызванного давлением гидротермальных флюидов в условиях низкого дифференциального напряжения. • В исследовании выражается благодарность традиционным хранителям земли и финансовой поддержке компании Newmont Exploration Pty Ltd. • Ключевые геологические особенности, включая слоистость и минерализованные жилы, анализируются для понимания их связи с золотой минерализацией. 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/gAdKS9eans4

• The research focuses on the structural controls of the Oberon orogenic gold deposit in Australia, highlighting the influence of tectonic perturbations on the regional stress field. • It discusses the evolution of the system from a transcurrent deformation regime to a reverse shortening regime, driven by hydrothermal fluid pressure in a low differential stress environment. • The study acknowledges the traditional custodians of the land and the financial support from Newmont Exploration Pty Ltd. • Key geological features, including foliation and mineralized veins, are analyzed to understand their relationship with gold mineralization 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

Saturday, January 4, 2025

https://youtu.be/OY0A1FZ7nUs

Friday, January 3, 2025

https://youtu.be/BZtLSNl8Kys

Este artículo de investigación explora el uso de Bosques Aleatorios (RF), un algoritmo de aprendizaje automático, para crear Mapas de Prospectividad Mineral (MPM ) con el fin de identificar zonas con un alto potencial de yacimientos de oro orogénico en la zona de Geraldton, en Ontario (Canadá). Los autores abordan los retos que plantea el modelado de MPM, incluida una novedosa aplicación del procesamiento del lenguaje natural (PLN ) para analizar los datos de los mapas geológicos e identificar posibles fuentes y trampas de oro. También investigan varios métodos para definir los datos de entrenamiento sin depósito y demuestran la eficacia de combinar varios MPM en un enfoque de conjunto. El estudio se centra en el cinturón de piedra verde de Beardmore-Geraldton, conocido por sus yacimientos de oro, y utiliza diversos datos geológicos, geofísicos y geoquímicos. Los autores utilizan modelos 3D de densidad, susceptibilidad y resistividad derivados de datos geofísicos para definir la litología a distintas profundidades. También emplean PNL para extraer información textual de los mapas geológicos, convirtiéndola en datos numéricos para el modelado de la RF. Los resultados ponen de relieve la importancia de ponderar las minas de oro en función de la producción y demuestran que los MPM generados mediante RF son eficaces para predecir los yacimientos de oro conocidos. La investigación identifica varias zonas prometedoras para la exploración de oro, situadas principalmente en el cinturón de piedra verde Beardmore-Geraldton. 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/KWZ0XNHCxgw

В этой научной статье рассматривается использование Random Forests (RF), алгоритма машинного обучения, для создания карт перспективности месторождений полезных ископаемых (MPM) с целью выявления участков с высоким потенциалом орогенных месторождений золота в районе Джералдтон (Онтарио, Канада). Авторы рассматривают проблемы моделирования MPM, включая новое применение обработки естественного языка (NLP) для анализа данных геологических карт и точного определения потенциальных источников и ловушек золота. Они также исследуют различные методы определения обучающих данных без месторождений и демонстрируют эффективность объединения нескольких MPM в ансамблевый подход. Исследование посвящено зеленокаменному поясу Бирдмор-Геральдтон, известному своими месторождениями золота, и использует разнообразные геологические, геофизические и геохимические данные. Авторы используют 3D-модели плотности, восприимчивости и удельного сопротивления, полученные на основе геофизических данных, для определения литологии на разных глубинах. Они также используют NLP для извлечения текстовой информации из геологических карт, преобразуя ее в числовые данные для RF-моделирования. Результаты подчеркивают важность взвешивания золотых рудников на основе объемов добычи и демонстрируют, что MPM, созданные с помощью RF, эффективны для прогнозирования известных месторождений золота. Исследование выявило несколько перспективных участков для разведки золота, в основном расположенных в пределах зеленокаменного пояса Бирдмор-Геральдтон. 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/81mLYoZKOk8

This research article explores the use of Random Forests (RF), a machine learning algorithm, for creating Mineral Prospectivity Maps (MPMs) to identify areas with high potential for orogenic gold deposits in the Geraldton area of Ontario, Canada. The authors address challenges in MPM modeling, including a novel application of natural language processing (NLP) to analyze geological map data and pinpoint potential gold sources and traps. They also investigate various methods for defining non-deposit training data and demonstrate the effectiveness of combining multiple MPMs in an ensemble approach. The study focuses on the Beardmore-Geraldton greenstone belt, known for its gold deposits, and uses a variety of geological, geophysical, and geochemical data. The authors utilize 3D density, susceptibility, and resistivity models derived from geophysical data to define lithology at different depths. They also employ NLP to extract text-based information from geological maps, converting it into numerical data for RF modeling. Results highlight the importance of weighting gold mines based on production and demonstrate that the MPMs generated using RF are effective in predicting known gold occurrences. The research identifies several promising areas for gold exploration, primarily located within the Beardmore-Geraldton greenstone belt. 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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