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Author : Mingliang Liu,Fernando Bordignon,Leandro Passos De Figueiredo,Yuqi Wu,Luanxiao Zhao
Publisher : Frontiers Media SA
Page : 145 pages
File Size : 52,8 Mb
Release : 2023-04-28
Category : Science
ISBN : 9782832522141
Author : Patrick Bangert
Publisher : Gulf Professional Publishing
Page : 290 pages
File Size : 55,5 Mb
Release : 2021-03-04
Category : Science
ISBN : 9780128209141
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)
Author : Gabor Korvin
Publisher : Springer Nature
Page : 541 pages
File Size : 47,6 Mb
Release : 2024-06-29
Category : Electronic
ISBN : 9783031467004
Author : Gary Mavko,Tapan Mukerji,Jack Dvorkin
Publisher : Cambridge University Press
Page : 525 pages
File Size : 52,6 Mb
Release : 2009-04-30
Category : Nature
ISBN : 9780521861366
A significantly expanded new edition of this practical guide to rock physics and geophysical interpretation for reservoir geophysicists and engineers.
Author : Ahmed M. Eldosouky,Amin Beiranvand Pour,Luan Thanh Pham,Biswajeet Pradhan
Publisher : Frontiers Media SA
Page : 277 pages
File Size : 48,6 Mb
Release : 2023-03-03
Category : Science
ISBN : 9782832516744
Author : Behzad Ghanbarian,Feng Liang,Hui-Hai Liu
Publisher : John Wiley & Sons
Page : 388 pages
File Size : 43,5 Mb
Release : 2023-04-13
Category : Technology & Engineering
ISBN : 9781119729907
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.
Author : Ijaz A. Rauf
Publisher : CRC Press
Page : 210 pages
File Size : 43,8 Mb
Release : 2021-11-28
Category : Computers
ISBN : 9781000450415
Physics of Data Science and Machine Learning links fundamental concepts of physics to data science, machine learning, and artificial intelligence for physicists looking to integrate these techniques into their work. This book is written explicitly for physicists, marrying quantum and statistical mechanics with modern data mining, data science, and machine learning. It also explains how to integrate these techniques into the design of experiments, while exploring neural networks and machine learning, building on fundamental concepts of statistical and quantum mechanics. This book is a self-learning tool for physicists looking to learn how to utilize data science and machine learning in their research. It will also be of interest to computer scientists and applied mathematicians, alongside graduate students looking to understand the basic concepts and foundations of data science, machine learning, and artificial intelligence. Although specifically written for physicists, it will also help provide non-physicists with an opportunity to understand the fundamental concepts from a physics perspective to aid in the development of new and innovative machine learning and artificial intelligence tools. Key Features: Introduces the design of experiments and digital twin concepts in simple lay terms for physicists to understand, adopt, and adapt. Free from endless derivations; instead, equations are presented and it is explained strategically why it is imperative to use them and how they will help in the task at hand. Illustrations and simple explanations help readers visualize and absorb the difficult-to-understand concepts. Ijaz A. Rauf is an adjunct professor at the School of Graduate Studies, York University, Toronto, Canada. He is also an associate researcher at Ryerson University, Toronto, Canada and president of the Eminent-Tech Corporation, Bradford, ON, Canada.
Author : Jing Ba,José M. Carcione,Erik H. Saenger,Beatriz Quintal,Liyun Fu,Ludmila Adam,Ravi Sharma
Publisher : Frontiers Media SA
Page : 359 pages
File Size : 53,6 Mb
Release : 2021-10-29
Category : Science
ISBN : 9782889715626
Author : Shib Sankar Ganguli,V.P. Dimri
Publisher : Elsevier
Page : 518 pages
File Size : 48,9 Mb
Release : 2023-10-27
Category : Science
ISBN : 9780323997188
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
Author : James E. McClure,Charlotte Garing,Anna L. Herring,Carl Fredrik Berg
Publisher : Frontiers Media SA
Page : 164 pages
File Size : 51,7 Mb
Release : 2022-11-29
Category : Science
ISBN : 9782832507476
Author : Kumar Hemant Singh,Ritesh Mohan Joshi
Publisher : Springer Nature
Page : 299 pages
File Size : 47,9 Mb
Release : 2019-10-16
Category : Technology & Engineering
ISBN : 9789811312113
This book presents selected articles from the workshop on "Challenges in Petrophysical Evaluation and Rock Physics Modeling of Carbonate Reservoirs" held at IIT Bombay in November 2017. The articles included explore the challenges associated with using well-log data, core data analysis, and their integration in the qualitative and quantitative assessment of petrophysical and elastic properties in carbonate reservoirs. The book also discusses the recent trends and advances in the area of research and development of carbonate reservoir characterization, both in industry and academia. Further, it addresses the challenging concept of porosity portioning, which has huge implications for exploration and development success in these complex reservoirs, enabling readers to understand the varying orders of deposition and diagenesis and also to model the flow and elastic properties.
Author : Kurt J. Marfurt
Publisher : SEG Books
Page : 509 pages
File Size : 42,5 Mb
Release : 2018-01-31
Category : Petroleum
ISBN : 9781560803515
Useful attributes capture and quantify key components of the seismic amplitude and texture for subsequent integration with well log, microseismic, and production data through either interactive visualization or machine learning. Although both approaches can accelerate and facilitate the interpretation process, they can by no means replace the interpreter. Interpreter “grayware” includes the incorporation and validation of depositional, diagenetic, and tectonic deformation models, the integration of rock physics systematics, and the recognition of unanticipated opportunities and hazards. This book is written to accompany and complement the 2018 SEG Distinguished Instructor Short Course that provides a rapid overview of how 3D seismic attributes provide a framework for data integration over the life of the oil and gas field. Key concepts are illustrated by example, showing modern workflows based on interactive interpretation and display as well as those aided by machine learning.
Author : Jeffrey Nichols,Becky Verastegui,Arthur ‘Barney’ Maccabe,Oscar Hernandez,Suzanne Parete-Koon,Theresa Ahearn
Publisher : Springer Nature
Page : 555 pages
File Size : 40,9 Mb
Release : 2020-12-22
Category : Computers
ISBN : 9783030633936
This book constitutes the revised selected papers of the 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020, held in Oak Ridge, TN, USA*, in August 2020. The 36 full papers and 1 short paper presented were carefully reviewed and selected from a total of 94 submissions. The papers are organized in topical sections of computational applications: converged HPC and artificial intelligence; system software: data infrastructure and life cycle; experimental/observational applications: use cases that drive requirements for AI and HPC convergence; deploying computation: on the road to a converged ecosystem; scientific data challenges. *The conference was held virtually due to the COVID-19 pandemic.
Author : Vahid Tavakoli
Publisher : CRC Press
Page : 184 pages
File Size : 41,6 Mb
Release : 2023-11-16
Category : Technology & Engineering
ISBN : 9781000990850
The Computed Tomography (CT) scanning of carbonate reservoirs is a non-destructive method used to obtain valuable information from reservoir rocks. This concise book covers all aspects of CT image analysis and their interpretation. It is focused on the CT scanned images and the data gathered from various carbonate reservoirs with different ages, from Paleozoic to Tertiary, and with different textures, degrees of heterogeneity, facies types, diagenetic impacts, fossil contents, sedimentary structures, reservoir quality, and fracturing. Numerous high-resolution images illustrate various aspects of carbonate rock properties and are suitable for analysis by both professionals and students. FEATURES Provides the first specialized book about core CT scanned image descriptions and explanations Contains supplementary data from various sources, such as image logs, cores, and thin section photos and petrophysical measurements Includes original CT images from different reservoirs Covers both research and industrial aspects of core CT scanning and is useful for comparing CT scanned images Uses original images and reservoir data gathered by the author This book can be used by professionals working in the oil and gas industry, researchers and academics studying petroleum-related disciplines, and students taking courses in petroleum geology and reservoir engineering. It can also be used in a range of related sciences, such as sedimentology, soil sciences, paleontology, petrology, engineering geology, study of porous materials, and hydrogeology.
Author : A. Neal,M. Ashton,L.S. Williams,S.J. Dee,T.J.H. Dodd,J.D. Marshall
Publisher : Geological Society of London
Page : 419 pages
File Size : 46,8 Mb
Release : 2023-11-21
Category : Science
ISBN : 9781786205759
Deep subsurface characterization technologies and demands are changing rapidly within the energy industry. In this swiftly evolving landscape, the wide range of analyses performed on the rocks and fluids obtained from cores remain fundamental tools in managing subsurface uncertainty and associated risk. During the energy transition large volumes of newly acquired and legacy core will be accessed to better understand both existing hydrocarbon resources and other subsurface energy-related systems, particularly for carbon capture, utilization and storage (CCUS), geothermal energy and the long-term storage of nuclear waste. Through state-of-the-art reviews and case studies this volume illustrates how innovative approaches continue to create value from both new and historical cores recovered for deep subsurface reservoir characterization and storage complex evaluation. Such an assessment is timely given that the sector sits at a pivotal point in terms of changing technologies, economics, demographics, skillsets and energy solutions.
