Seismic Attributes As The Framework For Data Integration Throughout The Oilfield Life Cycle
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Seismic Attributes As The Framework For Data Integration Throughout The Oilfield Life Cycle
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Author : Kurt J. Marfurt
language : en
Publisher: SEG Books
Release Date : 2018-01-31
Seismic Attributes As The Framework For Data Integration Throughout The Oilfield Life Cycle written by Kurt J. Marfurt and has been published by SEG Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-31 with Petroleum categories.
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.
Seismic Attributes As The Framework For Data Integration Throughout The Oilfield Life Cycle
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Author : Kurt J. Marfurt
language : en
Publisher:
Release Date : 2018
Seismic Attributes As The Framework For Data Integration Throughout The Oilfield Life Cycle written by Kurt J. Marfurt and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Advances In Subsurface Data Analytics
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Author : Shuvajit Bhattacharya
language : en
Publisher: Elsevier
Release Date : 2022-05-18
Advances In Subsurface Data Analytics written by Shuvajit Bhattacharya and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-18 with Computers categories.
Advances in Subsurface Data Analytics: Traditional and Physics-Based Approaches brings together the fundamentals of popular and emerging machine learning (ML) algorithms with their applications in subsurface analysis, including geology, geophysics, petrophysics, and reservoir engineering. The book is divided into four parts: traditional ML, deep learning, physics-based ML, and new directions, with an increasing level of diversity and complexity of topics. Each chapter focuses on one ML algorithm with a detailed workflow for a specific application in geosciences. Some chapters also compare the results from an algorithm with others to better equip the readers with different strategies to implement automated workflows for subsurface analysis. Advances in Subsurface Data Analytics: Traditional and Physics-Based Approaches will help researchers in academia and professional geoscientists working on the subsurface-related problems (oil and gas, geothermal, carbon sequestration, and seismology) at different scales to understand and appreciate current trends in ML approaches, their applications, advances and limitations, and future potential in geosciences by bringing together several contributions in a single volume. Covers fundamentals of simple machine learning and deep learning algorithms, and physics-based approaches written by practitioners in academia and industry Presents detailed case studies of individual machine learning algorithms and optimal strategies in subsurface characterization around the world Offers an analysis of future trends in machine learning in geosciences
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
Understanding Faults
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Author : David Tanner
language : en
Publisher: Elsevier
Release Date : 2019-10-08
Understanding Faults written by David Tanner and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-08 with Science categories.
Understanding Faults: Detecting, Dating, and Modeling offers a single resource for analyzing faults for a variety of applications, from hazard detection and earthquake processes, to geophysical exploration. The book presents the latest research, including fault dating using new mineral growth, fault reactivation, and fault modeling, and also helps bridge the gap between geologists and geophysicists working across fault-related disciplines. Using diagrams, formulae, and worldwide case studies to illustrate concepts, the book provides geoscientists and industry experts in oil and gas with a valuable reference for detecting, modeling, analyzing and dating faults. Presents cutting-edge information relating to fault analysis, including mechanical, geometrical and numerical models, theory and methodologies Includes calculations of fault sealing capabilities Describes how faults are detected, what fault models predict, and techniques for dating fault movement Utilizes worldwide case studies throughout the book to concretely illustrate key concepts
A Primer On Machine Learning In Subsurface Geosciences
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Author : Shuvajit Bhattacharya
language : en
Publisher: Springer Nature
Release Date : 2021-05-03
A Primer On Machine Learning In Subsurface Geosciences written by Shuvajit Bhattacharya and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-03 with Technology & Engineering categories.
This book provides readers with a timely review and discussion of the success, promise, and perils of machine learning in geosciences. It explores the fundamentals of data science and machine learning, and how their advances have disrupted the traditional workflows used in the industry and academia, including geology, geophysics, petrophysics, geomechanics, and geochemistry. It then presents the real-world applications and explains that, while this disruption has affected the top-level executives, geoscientists as well as field operators in the industry and academia, machine learning will ultimately benefit these users. The book is written by a practitioner of machine learning and statistics, keeping geoscientists in mind. It highlights the need to go beyond concepts covered in STAT 101 courses and embrace new computational tools to solve complex problems in geosciences. It also offers practitioners, researchers, and academics insights into how to identify, develop, deploy, and recommend fit-for-purpose machine learning models to solve real-world problems in subsurface geosciences.
Handbook Of Poststack Seismic Attributes
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Author : Arthur E. Barnes
language : en
Publisher: SEG Books
Release Date : 2016-10-15
Handbook Of Poststack Seismic Attributes written by Arthur E. Barnes and has been published by SEG Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-15 with Science categories.
The Handbook of Poststack Seismic Attributes is a general reference for poststack seismic attributes. It discusses their theory, meaning, computation, and application, with the goal of improving understanding so that seismic attributes can be applied more effectively. The chapters of the book build upon each other and progress from basic attributes to more involved methods. The book introduces the ideas that underlie seismic attributes and reviews their history from their origins to current developments. It examines attribute maps and interval statistics; complex trace attributes; 3D attributes that quantify aspects of geologic structure and stratigraphy, primarily dip, azimuth, curvature, reflection spacing, and parallelism; seismic discontinuity attributes derived through variances or differences; spectral decomposition, thin-bed analysis, and waveform classification; the two poststack methods that purportedly record rock properties — relative acoustic impedance through recursive inversion, and Q estimation through spectral ratioing; and multiattribute analysis through volume blending, cross-plotting, principal component analysis, and unsupervised classification. The book ends with an overview of how seismic attributes aid data interpretation and discusses bright spots, frequency shadows, faults, channels, diapirs, and data reconnaissance. A glossary provides definitions of seismic attributes and methods, and appendices provide background mathematics. The book is intended for reflection seismologists engaged in petroleum exploration, including seismic data interpreters, data processors, researchers, and students.
Managing Subsurface Data In The Oil And Gas Sector Seismic
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Author : Ahmad Bin Maidinsar
language : en
Publisher: Partridge Publishing Singapore
Release Date : 2019-05-24
Managing Subsurface Data In The Oil And Gas Sector Seismic written by Ahmad Bin Maidinsar and has been published by Partridge Publishing Singapore this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-24 with Computers categories.
The book underlines the basic workflow in managing data efficiently and professionally from data search up to data archiving. This period is also considered as the data life span within a project cycle. The book is also a good referral for undergrads in the geosciences faculties. The nine chapters outline in detail what any subsurface data managers need to apprehend in their daily routine works. —Chapter 1 outline the meaning of “seismic.” —Chapter 2 outline the history of storage media. —Chapter 3 outline the 2D and 3D seismic surveys. —Chapter 4 outline the coordinate reference system and standard navigational data format. —Chapter 5 outline the flow in data management. —Chapter 6 outline the SEG-Y header analysis. —Chapter 7 outline the standard seismic data loading. —Chapter 8 outline the process of data cleaning. —Chapter 9 outline what constitutes of backup, archive, and restore.
Seismic Attributes For Prospect Identification And Reservoir Characterization
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Author : Satinder Chopra
language : en
Publisher: SEG Books
Release Date : 2007
Seismic Attributes For Prospect Identification And Reservoir Characterization written by Satinder Chopra and has been published by SEG Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Science categories.
Introducing the physical basis, mathematical implementation, and geologic expression of modern volumetric attributes including coherence, dip/azimuth, curvature, amplitude gradients, seismic textures, and spectral decomposition, the authors demonstrate the importance of effective colour display and sensitivity to seismic acquisition and processing.
Seismic Amplitude
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Author : Rob Simm
language : en
Publisher: Cambridge University Press
Release Date : 2014-04-17
Seismic Amplitude written by Rob Simm and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-17 with Nature categories.
This book introduces practical seismic analysis techniques and evaluation of interpretation confidence, for graduate students and industry professionals - independent of commercial software products.