Reservoir Characterization, Modeling and Quantitative Interpretation

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Release : 2023-10-27
Genre : Science
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Book Rating : 18X/5 ( reviews)

Reservoir Characterization, Modeling and Quantitative Interpretation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Reservoir Characterization, Modeling and Quantitative Interpretation write by Shib Sankar Ganguli. This book was released on 2023-10-27. Reservoir Characterization, Modeling and Quantitative Interpretation available in PDF, EPUB and Kindle. 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

Reservoir Characterization

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Release : 2012-12-02
Genre : Technology & Engineering
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Book Rating : 512/5 ( reviews)

Reservoir Characterization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Reservoir Characterization write by Larry Lake. This book was released on 2012-12-02. Reservoir Characterization available in PDF, EPUB and Kindle. Reservoir Characterization is a collection of papers presented at the Reservoir Characterization Technical Conference, held at the Westin Hotel-Galleria in Dallas on April 29-May 1, 1985. Conference held April 29-May 1, 1985, at the Westin Hotel—Galleria in Dallas. The conference was sponsored by the National Institute for Petroleum and Energy Research, Bartlesville, Oklahoma. Reservoir characterization is a process for quantitatively assigning reservoir properties, recognizing geologic information and uncertainties in spatial variability. This book contains 19 chapters, and begins with the geological characterization of sandstone reservoir, followed by the geological prediction of shale distribution within the Prudhoe Bay field. The subsequent chapters are devoted to determination of reservoir properties, such as porosity, mineral occurrence, and permeability variation estimation. The discussion then shifts to the utility of a Bayesian-type formalism to delineate qualitative ""soft"" information and expert interpretation of reservoir description data. This topic is followed by papers concerning reservoir simulation, parameter assignment, and method of calculation of wetting phase relative permeability. This text also deals with the role of discontinuous vertical flow barriers in reservoir engineering. The last chapters focus on the effect of reservoir heterogeneity on oil reservoir. Petroleum engineers, scientists, and researchers will find this book of great value.

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

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Release : 2019-07-15
Genre : Technology & Engineering
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Book Rating : 609/5 ( reviews)

Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling write by Y. Z. Ma. This book was released on 2019-07-15. Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling available in PDF, EPUB and Kindle. 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.

Uncertainty Analysis and Reservoir Modeling

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Release : 2011-12-20
Genre : Science
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Book Rating : 780/5 ( reviews)

Uncertainty Analysis and Reservoir Modeling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Uncertainty Analysis and Reservoir Modeling write by Y. Zee Ma. This book was released on 2011-12-20. Uncertainty Analysis and Reservoir Modeling available in PDF, EPUB and Kindle.

A Practical Guide to Seismic Reservoir Characterization

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Release : 2022-07-14
Genre : Science
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Book Rating : 530/5 ( reviews)

A Practical Guide to Seismic Reservoir Characterization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Practical Guide to Seismic Reservoir Characterization write by Timothy Tylor-Jones. This book was released on 2022-07-14. A Practical Guide to Seismic Reservoir Characterization available in PDF, EPUB and Kindle. This book covers in detail the entire workflow for quantitative seismic interpretation of subsurface modeling and characterization. It focusses on each step of the geo-modeling workflow starting from data preconditioning and wavelet extraction, which is the basis for the reservoir geophysics described and introduced in the following chapters. This book allows the reader to get a comprehensive insight of the most common and advanced workflows. It aims at graduate students related to energy (hydrocarbons), CO2 geological storage, and near surface characterization as well as professionals in these industries. The reader benefits from the strong and coherent theoretical background of the book, which is accompanied with real case examples.