Seismic Attributes As The Framework For Data Integration Throughout The Oilfield Life Cycle

Author : Kurt J. Marfurt
Publisher : SEG Books
Page : 509 pages
File Size : 52,7 Mb
Release : 2018-01-31
Category : Petroleum
ISBN : 9781560803515

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Seismic Attributes as the Framework for Data Integration Throughout the Oilfield Life Cycle by Kurt J. Marfurt Pdf

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 : Kurt J. Marfurt
Publisher : Unknown
Page : 128 pages
File Size : 41,9 Mb
Release : 2018
Category : Electronic
ISBN : 1560800860

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Seismic Attributes as the Framework for Data Integration Throughout the Oilfield Life Cycle by Kurt J. Marfurt Pdf

Author : Shuvajit Bhattacharya,Haibin Di
Publisher : Elsevier
Page : 378 pages
File Size : 51,7 Mb
Release : 2022-05-18
Category : Computers
ISBN : 9780128223086

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Advances in Subsurface Data Analytics by Shuvajit Bhattacharya,Haibin Di Pdf

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

Author : Shib Sankar Ganguli,V.P. Dimri
Publisher : Elsevier
Page : 518 pages
File Size : 54,6 Mb
Release : 2023-10-27
Category : Science
ISBN : 9780323997188

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Reservoir Characterization, Modeling and Quantitative Interpretation by Shib Sankar Ganguli,V.P. Dimri Pdf

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 : David Tanner,Christian Brandes
Publisher : Elsevier
Page : 380 pages
File Size : 47,9 Mb
Release : 2019-10-08
Category : Science
ISBN : 9780128159866

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Understanding Faults by David Tanner,Christian Brandes Pdf

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

Author : Shuvajit Bhattacharya
Publisher : Springer Nature
Page : 172 pages
File Size : 50,5 Mb
Release : 2021-05-03
Category : Technology & Engineering
ISBN : 9783030717681

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A Primer on Machine Learning in Subsurface Geosciences by Shuvajit Bhattacharya Pdf

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.

Author : Ahmad Bin Maidinsar
Publisher : Partridge Publishing Singapore
Page : 148 pages
File Size : 44,9 Mb
Release : 2019-05-24
Category : Computers
ISBN : 9781543751383

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Managing Subsurface Data in the Oil and Gas Sector Seismic by Ahmad Bin Maidinsar Pdf

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.

Author : Rob Simm,Mike Bacon,Michael Bacon
Publisher : Cambridge University Press
Page : 283 pages
File Size : 46,7 Mb
Release : 2014-04-17
Category : Nature
ISBN : 9781107011502

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Seismic Amplitude by Rob Simm,Mike Bacon,Michael Bacon Pdf

This book introduces practical seismic analysis techniques and evaluation of interpretation confidence, for graduate students and industry professionals - independent of commercial software products.

Author : Niranjan C. Nanda
Publisher : Springer
Page : 224 pages
File Size : 45,6 Mb
Release : 2016-03-10
Category : Science
ISBN : 9783319264912

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Seismic Data Interpretation and Evaluation for Hydrocarbon Exploration and Production by Niranjan C. Nanda Pdf

This book introduces readers to the field of seismic data interpretation and evaluation, covering themes such as petroleum exploration and high resolution seismic data. It helps geoscientists and engineers who are practitioners in this area to both understand and to avoid the potential pitfalls of interpreting and evaluating such data, especially the over-reliance on sophisticated software packages and workstations alongside a lack of grasp on the elementary principles of geology and geophysics. Chapters elaborate on the necessary principles, from topics like seismic wave propagation and rock-fluid parameters to seismic modeling and inversions, explaining the need to understand geological implications. The difference between interpretation of data and its evaluation is highlighted and the author encourages imaginative, logical and practical application of knowledge. Readers will appreciate the exquisite illustrations included with the accessibly written text, which simplify the process of learning about interpretation of seismic data. This multidisciplinary, integrated and practical approach to data evaluation will prove to be a valuable tool for students and young professionals, especially those connected with oil companies.

Author : Satinder Chopra
Publisher : Unknown
Page : 464 pages
File Size : 46,9 Mb
Release : 2007
Category : Electronic
ISBN : 0931830419

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Seismic Attributes for Prospect Identification and Reservoir Characterization by Satinder Chopra Pdf

Author : Sathish Sankaran,Sebastien Matringe,Mohamed Sidahmed
Publisher : Unknown
Page : 108 pages
File Size : 40,5 Mb
Release : 2020-10-29
Category : Electronic
ISBN : 1613998201

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Data Analytics in Reservoir Engineering by Sathish Sankaran,Sebastien Matringe,Mohamed Sidahmed Pdf

Data Analytics in Reservoir Engineering describes the relevance of data analytics for the oil and gas industry, with particular emphasis on reservoir engineering.

Author : John R. Fanchi,Richard L. Christiansen
Publisher : John Wiley & Sons
Page : 352 pages
File Size : 42,9 Mb
Release : 2016-09-13
Category : Technology & Engineering
ISBN : 9781119193616

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Introduction to Petroleum Engineering by John R. Fanchi,Richard L. Christiansen Pdf

Presents key concepts and terminology for a multidisciplinary range of topics in petroleum engineering Places oil and gas production in the global energy context Introduces all of the key concepts that are needed to understand oil and gas production from exploration through abandonment Reviews fundamental terminology and concepts from geology, geophysics, petrophysics, drilling, production and reservoir engineering Includes many worked practical examples within each chapter and exercises at the end of each chapter highlight and reinforce material in the chapter Includes a solutions manual for academic adopters

Author : Anonim
Publisher : Academic Press
Page : 318 pages
File Size : 50,6 Mb
Release : 2020-09-22
Category : Science
ISBN : 9780128216842

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Machine Learning and Artificial Intelligence in Geosciences by Anonim Pdf

Advances in Geophysics, Volume 61 - Machine Learning and Artificial Intelligence in Geosciences, the latest release in this highly-respected publication in the field of geophysics, contains new chapters on a variety of topics, including a historical review on the development of machine learning, machine learning to investigate fault rupture on various scales, a review on machine learning techniques to describe fractured media, signal augmentation to improve the generalization of deep neural networks, deep generator priors for Bayesian seismic inversion, as well as a review on homogenization for seismology, and more. Provides high-level reviews of the latest innovations in geophysics Written by recognized experts in the field Presents an essential publication for researchers in all fields of geophysics

Author : Philip Ringrose,Mark Bentley
Publisher : Springer
Page : 249 pages
File Size : 40,6 Mb
Release : 2014-10-03
Category : Science
ISBN : 9789400754973

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Reservoir Model Design by Philip Ringrose,Mark Bentley Pdf

This book gives practical advice and ready to use tips on the design and construction of subsurface reservoir models. The design elements cover rock architecture, petrophysical property modelling, multi-scale data integration, upscaling and uncertainty analysis. Philip Ringrose and Mark Bentley share their experience, gained from over a hundred reservoir modelling studies in 25 countries covering clastic, carbonate and fractured reservoir types. The intimate relationship between geology and fluid flow is explored throughout, showing how the impact of fluid type, production mechanism and the subtleties of single- and multi-phase flow combine to influence reservoir model design. Audience: The main audience for this book is the community of applied geoscientists and engineers involved in the development and use of subsurface fluid resources. The book is suitable for a range of Master’s level courses in reservoir characterisation, modelling and engineering. · Provides practical advice and guidelines for users of 3D reservoir modelling packages · Gives advice on reservoir model design for the growing world-wide activity in subsurface reservoir modelling · Covers rock modelling, property modelling, upscaling and uncertainty handling · Encompasses clastic, carbonate and fractured reservoirs

Author : Bernard Marr
Publisher : John Wiley & Sons
Page : 320 pages
File Size : 52,6 Mb
Release : 2016-03-22
Category : Business & Economics
ISBN : 9781119231394

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Big Data in Practice by Bernard Marr Pdf

The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective. From technology, media and retail, to sport teams, government agencies and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety and so much more. Organised for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved and the processes put it place to make it practical, as well as the technical details, challenges and lessons learned from each unique scenario. Learn how predictive analytics helps Amazon, Target, John Deere and Apple understand their customers Discover how big data is behind the success of Walmart, LinkedIn, Microsoft and more Learn how big data is changing medicine, law enforcement, hospitality, fashion, science and banking Develop your own big data strategy by accessing additional reading materials at the end of each chapter