Digital Rock Physics And Machine Learning

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Digital Rock Physics And Machine Learning

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Author : Mingliang Liu
language : en
Publisher: Frontiers Media SA
Release Date : 2023-04-28

Digital Rock Physics And Machine Learning written by Mingliang Liu and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-28 with Science categories.

Machine Learning And Data Science In The Oil And Gas Industry

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Author : Patrick Bangert
language : en
Publisher: Gulf Professional Publishing
Release Date : 2021-03-04

Machine Learning And Data Science In The Oil And Gas Industry written by Patrick Bangert and has been published by Gulf Professional Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-04 with Science categories.

Machine Learning and Data Science in the Oil and Gas Industry explains how machine learning can be specifically tailored to oil and gas use cases. Petroleum engineers will learn when to use machine learning, how it is already used in oil and gas operations, and how to manage the data stream moving forward. Practical in its approach, the book explains all aspects of a data science or machine learning project, including the managerial parts of it that are so often the cause for failure. Several real-life case studies round out the book with topics such as predictive maintenance, soft sensing, and forecasting. Viewed as a guide book, this manual will lead a practitioner through the journey of a data science project in the oil and gas industry circumventing the pitfalls and articulating the business value. - Chart an overview of the techniques and tools of machine learning including all the non-technological aspects necessary to be successful - Gain practical understanding of machine learning used in oil and gas operations through contributed case studies - Learn change management skills that will help gain confidence in pursuing the technology - Understand the workflow of a full-scale project and where machine learning benefits (and where it does not)

Statistical Rock Physics

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Author : Gabor Korvin
language : en
Publisher: Springer Nature
Release Date : 2024-04-06

Statistical Rock Physics written by Gabor Korvin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-06 with Science categories.

The book is the first systematic and comprehensive treatise of stochastic models and computational tools that have emerged in rock-physics in the last 20 years. The field of statistical rock-physics is a part of rock-physics (Petrophysics). Its concepts, methods and techniques are borrowed from stochastic geometry and statistical physics. This discipline describes the interior geometry of rocks; derives their effective physical properties based on their random composition and the random arrangement of their constituents; and builds models to simulate the past geological processes that had formed the rock. The aim of the book is to help the readers to understand the claims, techniques and published results of this new field and—most importantly—to teach them in order to creatively apply stochastic geometry and statistical physics in their own research tasks. For this purpose, the underlying mathematics will be discussed in all sections of the book; numerical solutions will be highlighted; a full set of references will be provided; and theory will go hand-in-hand with practical applications to hydraulic permeability, electric conduction, rock failure, NMR, mechanics of random grain packings, as well as the compaction of shale.

Principles Of Petroleum Geoscience

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Author : Ashok Vaidya
language : en
Publisher: Educohack Press
Release Date : 2025-02-20

Principles Of Petroleum Geoscience written by Ashok Vaidya and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Science categories.

"Principles of Petroleum Geoscience" offers a comprehensive exploration of essential concepts and methodologies in the field. Authored by experts, we bridge geology, geophysics, engineering, and environmental science, providing an interdisciplinary perspective. Our topics span sedimentary basin analysis, reservoir characterization, seismic interpretation, and well logging, along with the latest advancements in research and technology. We present real-world examples and case studies to illustrate practical applications in petroleum exploration and production, helping readers grasp complex ideas through practical insights. With up-to-date content, this resource is invaluable for students, researchers, and professionals in petroleum geoscience, equipping them to meet modern challenges in hydrocarbon exploration and development.

The Use Of Geosciences For Exploring And Predicting Natural Resources

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Author : Ahmed M. Eldosouky
language : en
Publisher: Frontiers Media SA
Release Date : 2023-03-03

The Use Of Geosciences For Exploring And Predicting Natural Resources written by Ahmed M. Eldosouky and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-03 with Science categories.

Pore Scale Microstructure Mechanisms And Models For Subsurface Flow And Transport

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Author : James E. McClure
language : en
Publisher: Frontiers Media SA
Release Date : 2022-11-29

Pore Scale Microstructure Mechanisms And Models For Subsurface Flow And Transport written by James E. McClure and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-29 with Science categories.

Physics Of Fluid Flow And Transport In Unconventional Reservoir Rocks

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Author : Behzad Ghanbarian
language : en
Publisher: John Wiley & Sons
Release Date : 2023-04-13

Physics Of Fluid Flow And Transport In Unconventional Reservoir Rocks written by Behzad Ghanbarian and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-13 with Technology & Engineering categories.

Physics of Fluid Flow and Transport in Unconventional Reservoir Rocks Understanding and predicting fluid flow in hydrocarbon shale and other non-conventional reservoir rocks Oil and natural gas reservoirs found in shale and other tight and ultra-tight porous rocks have become increasingly important sources of energy in both North America and East Asia. As a result, extensive research in recent decades has focused on the mechanisms of fluid transfer within these reservoirs, which have complex pore networks at multiple scales. Continued research into these important energy sources requires detailed knowledge of the emerging theoretical and computational developments in this field. Following a multidisciplinary approach that combines engineering, geosciences and rock physics, Physics of Fluid Flow and Transport in Unconventional Reservoir Rocks provides both academic and industrial readers with a thorough grounding in this cutting-edge area of rock geology, combining an explanation of the underlying theories and models with practical applications in the field. Readers will also find: An introduction to the digital modeling of rocks Detailed treatment of digital rock physics, including decline curve analysis and non-Darcy flow Solutions for difficult-to-acquire measurements of key petrophysical characteristics such as shale wettability, effective permeability, stress sensitivity, and sweet spots Physics of Fluid Flow and Transport in Unconventional Reservoir Rocks is a fundamental resource for academic and industrial researchers in hydrocarbon exploration, fluid flow, and rock physics, as well as professionals in related fields.

Rock Physics And Geofluid Detection

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Author : Jing Ba
language : en
Publisher: Frontiers Media SA
Release Date : 2021-10-29

Rock Physics And Geofluid Detection written by Jing Ba and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-29 with Science categories.

Reservoir Characterization Modeling And Quantitative Interpretation

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Author : Shib Sankar Ganguli
language : en
Publisher: Elsevier
Release Date : 2023-10-27

Reservoir Characterization Modeling And Quantitative Interpretation written by Shib Sankar Ganguli and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-27 with Science categories.

Reservoir Characterization, Modeling and Quantitative Interpretation: Recent Workflows to Emerging Technologies offers a wide spectrum of reservoir characterization techniques and technologies, focusing on the latest breakthroughs and most efficient methodologies in hydrocarbon exploration and development. Topics covered include 4D seismic technologies, AVAz inversion, fracture characterization, multiscale imaging technologies, static and dynamic reservoir characterization, among others. The content is delivered through an inductive approach, which will help readers gain comprehensive insights on advanced practices and be able to relate them to other subareas of reservoir characterization, including CO2 storage and data-driven modeling. This will be especially useful for field scientists in collecting and analyzing field data, prospect evaluation, developing reservoir models, and adopting new technologies to mitigate exploration risk. They will be able to solve the practical and challenging problems faced in the field of reservoir characterization, as it will offer systematic industrial workflows covering every aspect of this branch of Earth Science, including subsurface geoscientific perspectives of carbon geosequestration. This resource is a 21st Century guide for exploration geologists, geoscience students at postgraduate level and above, and petrophysicists working in the oil and gas industry. - Covers the latest and most effective technologies in reservoir characterization, including Avo analysis, AVAz inversion, wave field separation and Machine Learning techniques - Provides a balanced blend of both theoretical and practical approaches for solving challenges in reservoir characterization - Includes detailed industry-standard practical workflows, along with code structures for algorithms and practice exercises

Implementation And Interpretation Of Machine And Deep Learning To Applied Subsurface Geological Problems

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Author : David A. Wood
language : en
Publisher: Elsevier
Release Date : 2025-02-18

Implementation And Interpretation Of Machine And Deep Learning To Applied Subsurface Geological Problems written by David A. Wood and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-18 with Technology & Engineering categories.

Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems: Prediction Models Exploiting Well-Log Information explores machine and deep learning models for subsurface geological prediction problems commonly encountered in applied resource evaluation and reservoir characterization tasks. The book provides insights into how the performance of ML/DL models can be optimized—and sparse datasets of input variables enhanced and/or rescaled—to improve prediction performances. A variety of topics are covered, including regression models to estimate total organic carbon from well-log data, predicting brittleness indexes in tight formation sequences, trapping mechanisms in potential sub-surface carbon storage reservoirs, and more.Each chapter includes its own introduction, summary, and nomenclature sections, along with one or more case studies focused on prediction model implementation related to its topic. - Addresses common applied geological problems focused on machine and deep learning implementation with case studies - Considers regression, classification, and clustering machine learning methods and how to optimize and assess their performance, considering suitable error and accuracy metric - Contrasts the pros and cons of multiple machine and deep learning methods - Includes techniques to improve the identification of geological carbon capture and storage reservoirs, a key part of many energy transition strategies