Seismic Attributes as the Framework for Data Integration Throughout the Oilfield Life Cycle

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Publisher : SEG Books
ISBN 13 : 1560803517
Total Pages : 509 pages
Book Rating : 4.5/5 (68 download)

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

Download or read book Seismic Attributes as the Framework for Data Integration Throughout the Oilfield Life Cycle written by Kurt J. Marfurt and published by SEG Books. This book was released on 2018-01-31 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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Publisher :
ISBN 13 : 9781560800866
Total Pages : pages
Book Rating : 4.8/5 (8 download)

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

Download or read book Seismic Attributes as the Framework for Data Integration Throughout the Oilfield Life Cycle written by Kurt J. Marfurt and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Subsurface Data Analytics

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Publisher : Elsevier
ISBN 13 : 0128223081
Total Pages : 378 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Advances in Subsurface Data Analytics by : Shuvajit Bhattacharya

Download or read book Advances in Subsurface Data Analytics written by Shuvajit Bhattacharya and published by Elsevier. This book was released on 2022-05-18 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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Publisher : Elsevier
ISBN 13 : 032399718X
Total Pages : 518 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Reservoir Characterization, Modeling and Quantitative Interpretation by : Shib Sankar Ganguli

Download or read book Reservoir Characterization, Modeling and Quantitative Interpretation written by Shib Sankar Ganguli and published by Elsevier. This book was released on 2023-10-27 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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Publisher : Elsevier
ISBN 13 : 0128159863
Total Pages : 380 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Understanding Faults by : David Tanner

Download or read book Understanding Faults written by David Tanner and published by Elsevier. This book was released on 2019-10-08 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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Publisher : Springer Nature
ISBN 13 : 3030717682
Total Pages : 172 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis A Primer on Machine Learning in Subsurface Geosciences by : Shuvajit Bhattacharya

Download or read book A Primer on Machine Learning in Subsurface Geosciences written by Shuvajit Bhattacharya and published by Springer Nature. This book was released on 2021-05-03 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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Publisher : SEG Books
ISBN 13 : 1560803312
Total Pages : 269 pages
Book Rating : 4.5/5 (68 download)

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Book Synopsis Handbook of Poststack Seismic Attributes by : Arthur E. Barnes

Download or read book Handbook of Poststack Seismic Attributes written by Arthur E. Barnes and published by SEG Books. This book was released on 2016-10-15 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Seismic Attributes for Prospect Identification and Reservoir Characterization

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Publisher : SEG Books
ISBN 13 : 1560801417
Total Pages : 474 pages
Book Rating : 4.5/5 (68 download)

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Book Synopsis Seismic Attributes for Prospect Identification and Reservoir Characterization by : Satinder Chopra

Download or read book Seismic Attributes for Prospect Identification and Reservoir Characterization written by Satinder Chopra and published by SEG Books. This book was released on 2007 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Managing Subsurface Data in the Oil and Gas Sector Seismic

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Publisher : Partridge Publishing Singapore
ISBN 13 : 1543751385
Total Pages : 148 pages
Book Rating : 4.5/5 (437 download)

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Book Synopsis Managing Subsurface Data in the Oil and Gas Sector Seismic by : Ahmad Bin Maidinsar

Download or read book Managing Subsurface Data in the Oil and Gas Sector Seismic written by Ahmad Bin Maidinsar and published by Partridge Publishing Singapore. This book was released on 2019-05-24 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Amplitude

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Publisher : Cambridge University Press
ISBN 13 : 1107011507
Total Pages : 283 pages
Book Rating : 4.1/5 (7 download)

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Book Synopsis Seismic Amplitude by : Rob Simm

Download or read book Seismic Amplitude written by Rob Simm and published by Cambridge University Press. This book was released on 2014-04-17 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces practical seismic analysis techniques and evaluation of interpretation confidence, for graduate students and industry professionals - independent of commercial software products.

Enhance Oil and Gas Exploration with Data-Driven Geophysical and Petrophysical Models

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Publisher : John Wiley & Sons
ISBN 13 : 1119215102
Total Pages : 368 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Enhance Oil and Gas Exploration with Data-Driven Geophysical and Petrophysical Models by : Keith R. Holdaway

Download or read book Enhance Oil and Gas Exploration with Data-Driven Geophysical and Petrophysical Models written by Keith R. Holdaway and published by John Wiley & Sons. This book was released on 2017-10-09 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage Big Data analytics methodologies to add value to geophysical and petrophysical exploration data Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models demonstrates a new approach to geophysics and petrophysics data analysis using the latest methods drawn from Big Data. Written by two geophysicists with a combined 30 years in the industry, this book shows you how to leverage continually maturing computational intelligence to gain deeper insight from specific exploration data. Case studies illustrate the value propositions of this alternative analytical workflow, and in-depth discussion addresses the many Big Data issues in geophysics and petrophysics. From data collection and context through real-world everyday applications, this book provides an essential resource for anyone involved in oil and gas exploration. Recent and continual advances in machine learning are driving a rapid increase in empirical modeling capabilities. This book shows you how these new tools and methodologies can enhance geophysical and petrophysical data analysis, increasing the value of your exploration data. Apply data-driven modeling concepts in a geophysical and petrophysical context Learn how to get more information out of models and simulations Add value to everyday tasks with the appropriate Big Data application Adjust methodology to suit diverse geophysical and petrophysical contexts Data-driven modeling focuses on analyzing the total data within a system, with the goal of uncovering connections between input and output without definitive knowledge of the system's physical behavior. This multi-faceted approach pushes the boundaries of conventional modeling, and brings diverse fields of study together to apply new information and technology in new and more valuable ways. Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models takes you beyond traditional deterministic interpretation to the future of exploration data analysis.

Seismic Data Interpretation and Evaluation for Hydrocarbon Exploration and Production

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Publisher : Springer
ISBN 13 : 3319264915
Total Pages : 224 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Seismic Data Interpretation and Evaluation for Hydrocarbon Exploration and Production by : Niranjan C. Nanda

Download or read book Seismic Data Interpretation and Evaluation for Hydrocarbon Exploration and Production written by Niranjan C. Nanda and published by Springer. This book was released on 2016-03-10 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Carbonate Seismology

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Publisher : SEG Books
ISBN 13 : 1560800380
Total Pages : 455 pages
Book Rating : 4.5/5 (68 download)

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Book Synopsis Carbonate Seismology by : Ibrahim Palaz

Download or read book Carbonate Seismology written by Ibrahim Palaz and published by SEG Books. This book was released on 1997 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this volume, the geologic framework is established with review papers by experts in carbonate generation, rock properties, sequence and seismic stratigraphy, and structural deformation. Then seismic expression of carbonate terranes is explored in case studies showing the importance of integrating seismic and petrophysical control with geologic models.

Seismic Imaging Methods and Applications for Oil and Gas Exploration

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Publisher : Elsevier
ISBN 13 : 0323918875
Total Pages : 310 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Seismic Imaging Methods and Applications for Oil and Gas Exploration by : Yasir Bashir

Download or read book Seismic Imaging Methods and Applications for Oil and Gas Exploration written by Yasir Bashir and published by Elsevier. This book was released on 2022-03-16 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Seismic Imaging Methods and Application for Oil and Gas Exploration connects the legacy of field data processing and imaging with new research methods using diffractions and anisotropy in the field of geophysics. Topics covered include seismic data acquisition, seismic data processing, seismic wave modeling, high-resolution imaging, and anisotropic modeling and imaging. This book is a necessary resource for geophysicist working in the oil and gas and mineral exploration industries, as well as for students and academics in exploration geophysics. Provides detailed methods that are used in the industry, including advice on which methods to use in specific situations Compares classical methods with the latest technologies to improve practice and application in the real world Includes case studies for further explanation of methods described in the book

Geostatistical Reservoir Modeling

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Publisher : Oxford University Press
ISBN 13 : 0199358834
Total Pages : 449 pages
Book Rating : 4.1/5 (993 download)

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Book Synopsis Geostatistical Reservoir Modeling by : Michael J. Pyrcz

Download or read book Geostatistical Reservoir Modeling written by Michael J. Pyrcz and published by Oxford University Press. This book was released on 2014-04-16 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: Published in 2002, the first edition of Geostatistical Reservoir Modeling brought the practice of petroleum geostatistics into a coherent framework, focusing on tools, techniques, examples, and guidance. It emphasized the interaction between geophysicists, geologists, and engineers, and was received well by professionals, academics, and both graduate and undergraduate students. In this revised second edition, Deutsch collaborates with co-author Michael Pyrcz to provide an expanded (in coverage and format), full color illustrated, more comprehensive treatment of the subject with a full update on the latest tools, methods, practice, and research in the field of petroleum Geostatistics. Key geostatistical concepts such as integration of geologic data and concepts, scale considerations, and uncertainty models receive greater attention, and new comprehensive sections are provided on preliminary geological modeling concepts, data inventory, conceptual model, problem formulation, large scale modeling, multiple point-based simulation and event-based modeling. Geostatistical methods are extensively illustrated through enhanced schematics, work flows and examples with discussion on method capabilities and selection. For example, this expanded second edition includes extensive discussion on the process of moving from an inventory of data and concepts through conceptual model to problem formulation to solve practical reservoir problems. A greater number of examples are included, with a set of practical geostatistical studies developed to illustrate the steps from data analysis and cleaning to post-processing, and ranking. New methods, which have developed in the field since the publication of the first edition, are discussed, such as models for integration of diverse data sources, multiple point-based simulation, event-based simulation, spatial bootstrap and methods to summarize geostatistical realizations.

Data Analytics in Reservoir Engineering

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Publisher :
ISBN 13 : 9781613998205
Total Pages : 108 pages
Book Rating : 4.9/5 (982 download)

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Book Synopsis Data Analytics in Reservoir Engineering by : Sathish Sankaran

Download or read book Data Analytics in Reservoir Engineering written by Sathish Sankaran and published by . This book was released on 2020-10-29 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analytics in Reservoir Engineering describes the relevance of data analytics for the oil and gas industry, with particular emphasis on reservoir engineering.

Seismic Data Analysis Techniques in Hydrocarbon Exploration

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Publisher : Elsevier
ISBN 13 : 012420029X
Total Pages : 252 pages
Book Rating : 4.1/5 (242 download)

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Book Synopsis Seismic Data Analysis Techniques in Hydrocarbon Exploration by : Enwenode Onajite

Download or read book Seismic Data Analysis Techniques in Hydrocarbon Exploration written by Enwenode Onajite and published by Elsevier. This book was released on 2013-09-26 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Seismic Data Analysis Techniques in Hydrocarbon Exploration explains the fundamental concepts and skills used to acquire seismic data in the oil industry and the step-by-step techniques necessary to extract the sections that trap hydrocarbons as well as seismic data interpretation skills. It enhances the ability to interpret seismic data and use that data for basin evaluation, structural modeling of a fault, reservoir characterization, rock physics analysis, field development, and production studies. Understanding and interpreting seismic data is critical to oil and gas exploration companies. Arming young geoscientists with a reference that covers the key principles of seismic data analysis will enhance their job knowledge, skills and performance. A fundamental grasp of seismic data enhances employability and aids scientists in functioning effectively when working with seismic data in industry. Edited by a team of petroleum geoscientists with more than 30 years of experience in hydrocarbon exploration and data analysis at O&G companies. More than 200 figures, photographs, and illustrations aid in the understanding of the fundamental concepts and techniques used to acquire seismic data Takes an easy-to-follow, step-by-step approach to presenting the techniques and skills used to extract the geologic sections from acquired seismic data. Enhances the geoscientist’s effectiveness when using seismic data for field development and other exploration and production studies