Methods and Applications in Reservoir Geophysics

Methods and Applications in Reservoir Geophysics PDF Author: David H. Johnston
Publisher: SEG Books
ISBN: 1560802162
Category : Science
Languages : en
Pages : 669

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Book Description
The reservoir-engineering tutorial discusses issues and data critically important engineers. The geophysics tutorial has explanations of the tools and data in case studies. Then each chapter focuses on a phase of field life: exploration appraisal, development planning, and production optimization. The last chapter explores emerging technologies.

Methods and Applications in Reservoir Geophysics

Methods and Applications in Reservoir Geophysics PDF Author: David H. Johnston
Publisher: SEG Books
ISBN: 1560802162
Category : Science
Languages : en
Pages : 669

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Book Description
The reservoir-engineering tutorial discusses issues and data critically important engineers. The geophysics tutorial has explanations of the tools and data in case studies. Then each chapter focuses on a phase of field life: exploration appraisal, development planning, and production optimization. The last chapter explores emerging technologies.

Geostatistical Methods for Reservoir Geophysics

Geostatistical Methods for Reservoir Geophysics PDF Author: Leonardo Azevedo
Publisher: Springer
ISBN: 3319532014
Category : Science
Languages : en
Pages : 159

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Book Description
This book presents a geostatistical framework for data integration into subsurface Earth modeling. It offers extensive geostatistical background information, including detailed descriptions of the main geostatistical tools traditionally used in Earth related sciences to infer the spatial distribution of a given property of interest. This framework is then directly linked with applications in the oil and gas industry and how it can be used as the basis to simultaneously integrate geophysical data (e.g. seismic reflection data) and well-log data into reservoir modeling and characterization. All of the cutting-edge methodologies presented here are first approached from a theoretical point of view and then supplemented by sample applications from real case studies involving different geological scenarios and different challenges. The book offers a valuable resource for students who are interested in learning more about the fascinating world of geostatistics and reservoir modeling and characterization. It offers them a deeper understanding of the main geostatistical concepts and how geostatistics can be used to achieve better data integration and reservoir modeling.

Reservoir Geophysics

Reservoir Geophysics PDF Author: Robert E. Sheriff
Publisher:
ISBN: 9780931830464
Category : Gas reservoirs
Languages : en
Pages : 400

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Book Description


Practical Applications of Time-lapse Seismic Data

Practical Applications of Time-lapse Seismic Data PDF Author: David H. Johnston
Publisher: SEG Books
ISBN: 156080307X
Category : Science
Languages : en
Pages : 288

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Book Description
Time-lapse (4D) seismic technology is a key enabler for improved hydrocarbon recovery and more cost-effective field operations. This book shows how 4D data are used for reservoir surveillance, add value to reservoir management, and provide valuable insight on dynamic reservoir properties such as fluid saturation, pressure, and temperature.

Methods and Applications in Petroleum and Mineral Exploration and Engineering Geology

Methods and Applications in Petroleum and Mineral Exploration and Engineering Geology PDF Author: Said Gaci
Publisher: Elsevier
ISBN: 0323856187
Category : Science
Languages : en
Pages : 412

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Book Description
Methods and Applications in Petroleum and Mineral Exploration and Engineering Geology is an interdisciplinary book bridging the fields of earth sciences and engineering. It covers topics on natural resources exploration as well as the application of geological exploration methods and techniques to engineering problems. Each topic is presented through theoretical approaches that are illustrated by case studies from around the globe. Methods and Applications in Petroleum and Mineral Exploration and Engineering Geology is a key resource for both academics and professionals, offering both practical and applied knowledge in resources exploration and engineering geology. - Features new exploration technologies including seismic, satellite images, basin studies, geochemical modeling and analysis - Presents cases studies from different countries such as the Hoggar area (Algeria), Urals and Siberia (Russia), North of Chile (II and III regions), and North of Italy (Trentino Alto adige) - Includes applications of the novel methods discussed

Seismic Imaging Methods and Applications for Oil and Gas Exploration

Seismic Imaging Methods and Applications for Oil and Gas Exploration PDF Author: Yasir Bashir
Publisher: Elsevier
ISBN: 0323919464
Category : Business & Economics
Languages : en
Pages : 308

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Book Description
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

Principles of Applied Reservoir Simulation

Principles of Applied Reservoir Simulation PDF Author: John R. Fanchi
Publisher: Elsevier
ISBN: 0750679336
Category : Business & Economics
Languages : en
Pages : 530

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Book Description
Simulate reservoirs effectively to extract the maximum oil, gas and profit, with this book and free simlation software on companion web site.

Seismic Reservoir Modeling

Seismic Reservoir Modeling PDF Author: Dario Grana
Publisher: John Wiley & Sons
ISBN: 1119086205
Category : Science
Languages : en
Pages : 256

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Book Description
Seismic reservoir characterization aims to build 3-dimensional models of rock and fluid properties, including elastic and petrophysical variables, to describe and monitor the state of the subsurface for hydrocarbon exploration and production and for CO2 sequestration. Rock physics modeling and seismic wave propagation theory provide a set of physical equations to predict the seismic response of subsurface rocks based on their elastic and petrophysical properties. However, the rock and fluid properties are generally unknown and surface geophysical measurements are often the only available data to constrain reservoir models far away from well control. Therefore, reservoir properties are generally estimated from geophysical data as a solution of an inverse problem, by combining rock physics and seismic models with inverse theory and geostatistical methods, in the context of the geological modeling of the subsurface. A probabilistic approach to the inverse problem provides the probability distribution of rock and fluid properties given the measured geophysical data and allows quantifying the uncertainty of the predicted results. The reservoir characterization problem includes both discrete properties, such as facies or rock types, and continuous properties, such as porosity, mineral volumes, fluid saturations, seismic velocities and density. Seismic Reservoir Modeling: Theory, Examples and Algorithms presents the main concepts and methods of seismic reservoir characterization. The book presents an overview of rock physics models that link the petrophysical properties to the elastic properties in porous rocks and a review of the most common geostatistical methods to interpolate and simulate multiple realizations of subsurface properties conditioned on a limited number of direct and indirect measurements based on spatial correlation models. The core of the book focuses on Bayesian inverse methods for the prediction of elastic petrophysical properties from seismic data using analytical and numerical statistical methods. The authors present basic and advanced methodologies of the current state of the art in seismic reservoir characterization and illustrate them through expository examples as well as real data applications to hydrocarbon reservoirs and CO2 sequestration studies.

Seismic Imaging Methods and Applications for Oil and Gas Exploration

Seismic Imaging Methods and Applications for Oil and Gas Exploration PDF Author: Yasir Bashir
Publisher: Elsevier
ISBN: 0323918875
Category : Science
Languages : en
Pages : 310

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Book Description
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

Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling

Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling PDF Author: Y. Z. Ma
Publisher: Springer
ISBN: 3030178609
Category : Technology & Engineering
Languages : en
Pages : 646

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Book Description
Earth science is becoming increasingly quantitative in the digital age. Quantification of geoscience and engineering problems underpins many of the applications of big data and artificial intelligence. This book presents quantitative geosciences in three parts. Part 1 presents data analytics using probability, statistical and machine-learning methods. Part 2 covers reservoir characterization using several geoscience disciplines: including geology, geophysics, petrophysics and geostatistics. Part 3 treats reservoir modeling, resource evaluation and uncertainty analysis using integrated geoscience, engineering and geostatistical methods. As the petroleum industry is heading towards operating oil fields digitally, a multidisciplinary skillset is a must for geoscientists who need to use data analytics to resolve inconsistencies in various sources of data, model reservoir properties, evaluate uncertainties, and quantify risk for decision making. This book intends to serve as a bridge for advancing the multidisciplinary integration for digital fields. The goal is to move beyond using quantitative methods individually to an integrated descriptive-quantitative analysis. In big data, everything tells us something, but nothing tells us everything. This book emphasizes the integrated, multidisciplinary solutions for practical problems in resource evaluation and field development.