Seismic Modelling And Pattern Recognition In Oil Exploration
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Seismic Modelling And Pattern Recognition In Oil Exploration
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Author : Amita Sinvhal
language : en
Publisher: Kluwer Academic Pub
Release Date : 1992
Seismic Modelling And Pattern Recognition In Oil Exploration written by Amita Sinvhal and has been published by Kluwer Academic Pub this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Science categories.
This book is aimed primarily at earth scientists, research workers and engineers who are investigating new techniques and ideas for processing and interpreting large amounts of numerical data. It meets the long felt need for a comprehensive text dealing with various aspects of pattern recognition in a single volume. The treatment starts with a description of seismic modelling, i.e. the formulation of mathematical models for subsurface geology based on Monte Carlo and Markov chains. It then guides the reader through various steps in pattern recognition, viz. identification and automatic extraction of attributes in the time and frequency domains from the seismic response of models. The use of these attributes in pattern recognition is validated by interpreting seismic reflection data as a practical application area. Appropriate computer programs have also been included in the text. An important aspect of this book is that it links subsurface geology with pattern recognition. The present work will be of interest to those working in the areas of seismic prospecting, seismic zonation and strong motion modelling as well as to those who deal with data interpretation in other disciplines.
Seismic Modelling And Pattern Recognition In Oil Exploration
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Author : A. Sinvhal
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Seismic Modelling And Pattern Recognition In Oil Exploration written by A. Sinvhal and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
The reasons for writing this book are very simple. We use and teach com puter aided techniques of mathematical simulation and of pattern recogni tion. Life would be much simpler if we had a suitable text book with methods and computer programmes which we could keep referring to. Therefore, we have presented here material that is essential for mathematical modelling of some complex geological situations, with which earth scientists are often confronted. The reader is introduced not only to the essentials of computer modelling, data analysis and pattern recognition, but is also made familiar with the basic understanding with which they can plunge into when solving related and more complex problems. This book first makes a case for seismic stratigraphy and then for pattern recognition. Chapter 1 provides an extensive review of applications of pattern recognition methods in oil exploration. Simulation procedures are presented with examples that are fairly simple to understand and easy to use on the computer. Several geological situations can be formulated and simulated using the Monte Carlo method. The binary lithologic sequences, discussed in Chapter 2, consist of alternating layers of any two of sand, shale and coal.
Automated Pattern Analysis In Petroleum Exploration
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Author : Ibrahim Palaz
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Automated Pattern Analysis In Petroleum Exploration written by Ibrahim Palaz and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.
Here is a state-of-the-art survey of artificial intelligence in modern exploration programs. Focussing on standard exploration procedures, the contributions examine the advantages and pitfalls of using these new techniques, and, in the process, provide new, more accurate and consistent methods for solving old problems. They show how expert systems can provide the integration of information that is essential in the petroleum industry when solving the complicated questions facing the modern petroleum geoscientist.
Soft Computing And Intelligent Data Analysis In Oil Exploration
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Author : M. Nikravesh
language : en
Publisher: Elsevier
Release Date : 2003-04-22
Soft Computing And Intelligent Data Analysis In Oil Exploration written by M. Nikravesh and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-04-22 with Science categories.
This comprehensive book highlights soft computing and geostatistics applications in hydrocarbon exploration and production, combining practical and theoretical aspects.It spans a wide spectrum of applications in the oil industry, crossing many discipline boundaries such as geophysics, geology, petrophysics and reservoir engineering. It is complemented by several tutorial chapters on fuzzy logic, neural networks and genetic algorithms and geostatistics to introduce these concepts to the uninitiated. The application areas include prediction of reservoir properties (porosity, sand thickness, lithology, fluid), seismic processing, seismic and bio stratigraphy, time lapse seismic and core analysis.There is a good balance between introducing soft computing and geostatistics methodologies that are not routinely used in the petroleum industry and various applications areas. The book can be used by many practitioners such as processing geophysicists, seismic interpreters, geologists, reservoir engineers, petrophysicist, geostatistians, asset mangers and technology application professionals. It will also be of interest to academics to assess the importance of, and contribute to, R&D efforts in relevant areas.
Geohazards
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Author : Madhavi Latha Gali
language : en
Publisher: Springer Nature
Release Date : 2020-08-13
Geohazards written by Madhavi Latha Gali and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-13 with Science categories.
This volume comprises select papers presented during the Indian Geotechnical Conference 2018. This volume discusses concepts of soil dynamics and studies related to earthquake geotechnical engineering, slope stability, and landslides. The papers presented in this volume analyze failures connected to geotechnical and geological origins to improve professional practice, codes of analysis and design. This volume will prove useful to researchers and practitioners alike.
Handbook Of Pattern Recognition And Computer Vision
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Author : C. H. Chen
language : en
Publisher: World Scientific
Release Date : 1993-08
Handbook Of Pattern Recognition And Computer Vision written by C. H. Chen and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-08 with Computers categories.
"The book provides an up-to-date and authoritative treatment of pattern recognition and computer vision, with chapters written by leaders in the field. On the basic methods in pattern recognition and computer vision, topics range from statistical pattern recognition to array grammars to projective geometry to skeletonization, and shape and texture measures."--BOOK JACKET.
Syntactic Pattern Recognition
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Author : Mariusz Flasinski
language : en
Publisher: World Scientific
Release Date : 2019-03-25
Syntactic Pattern Recognition written by Mariusz Flasinski and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-25 with Computers categories.
This unique compendium presents the major methods of recognition and learning used in syntactic pattern recognition from the 1960s till 2018. Each method is introduced firstly in a formal way. Then, it is explained with the help of examples and its algorithms are described in a pseudocode. The survey of the applications contains more than 1,000 sources published since the 1960s. The open problems in the field, the challenges and the determinants of the future development of syntactic pattern recognition are discussed.This must-have volume provides a good read and serves as an excellent source of reference materials for researchers, academics, and postgraduate students in the fields of pattern recognition, machine perception, computer vision and artificial intelligence.
Enhance Oil And Gas Exploration With Data Driven Geophysical And Petrophysical Models
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Author : Keith R. Holdaway
language : en
Publisher: John Wiley & Sons
Release Date : 2017-09-28
Enhance Oil And Gas Exploration With Data Driven Geophysical And Petrophysical Models written by Keith R. Holdaway 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 2017-09-28 with Business & Economics categories.
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.
Understanding Data Analytics And Predictive Modelling In The Oil And Gas Industry
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Author : Kingshuk Srivastava
language : en
Publisher: CRC Press
Release Date : 2023-11-20
Understanding Data Analytics And Predictive Modelling In The Oil And Gas Industry written by Kingshuk Srivastava and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-20 with Technology & Engineering categories.
This book covers aspects of data science and predictive analytics used in the oil and gas industry by looking into the challenges of data processing and data modelling unique to this industry. It includes upstream management, intelligent/digital wells, value chain integration, crude basket forecasting, and so forth. It further discusses theoretical, methodological, well-established, and validated empirical work dealing with various related topics. Special focus has been given to experimental topics with various case studies. Features: Provides an understanding of the basics of IT technologies applied in the oil and gas sector Includes deep comparison between different artificial intelligence techniques Analyzes different simulators in the oil and gas sector as well as discussion of AI applications Focuses on in-depth experimental and applied topics Details different case studies for upstream and downstream This book is aimed at professionals and graduate students in petroleum engineering, upstream industry, data analytics, and digital transformation process in oil and gas.
Oil
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Author : Xiaobing Li
language : en
Publisher: Bloomsbury Publishing USA
Release Date : 2014-10-14
Oil written by Xiaobing Li and has been published by Bloomsbury Publishing USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-14 with Science categories.
Despite ongoing efforts to find alternatives, oil is still one of the most critical—and valuable—commodities on earth. This two-volume set provides extensive background information on key topics relating to oil, profiles countries that are major producers and consumers of oil, and examines relevant political issues. Aside from air and water, oil is perhaps the most valuable natural resource. Oil supplies the tremendous energy needs of the modern world. What exactly is "oil," where does it come from, how does it get consumed, and who is using it? This encyclopedia provides clear answers to these questions and more, offering students entries on the fundamentals of the oil industry and profiles of the countries that play a major role in oil production and consumption. Volume 1 presents topical entries on critical concepts, key terms, major oil spills and disasters, and important organizations and individuals relating to the oil industry. Entries define terms such as "barrel" and "reserve," cover incidents such as the BP oil spill, and explain the significance of organizations such as OPEC. The second volume spotlights specific countries that are major producers, consumers, exporters, and importers of oil, from the United States to Russia to Saudi Arabia to Venezuela. Each profile shows readers the importance of oil in that country through a brief background history, data on its oil usage or production, information about major trading partners, and an explanation of political issues.