Petroleum Reservoir Modeling and Simulation: Geology, Geostatistics, and Performance Prediction

Petroleum Reservoir Modeling and Simulation: Geology, Geostatistics, and Performance Prediction

Author: Sanjay Srinivasan

Publisher: McGraw-Hill Education

Published: 2019-10-04

Total Pages: 304

ISBN-13: 9781259834295

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Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Detailed reservoir engineering fundamentals and real-world applications along with well testing procedures This practical resource provides you with the tools and techniques you need to successfully construct petroleum reservoir models of all types and sizes. You will learn how to improve reserve estimations and make development decisions that will optimize well performance. Each chapter features detailed explanations and applications as well as examples and exercise questions that reinforce salient points. Petroleum Reservoir Simulation and Modeling: Geology, Geostatistics, and Performance Prediction describes the process of applying reservoir modeling techniques and flow analysis methods to specific geologic systems encountered in all subsurface exploration and development. Special attention is given to shale, carbonate, and subsea formations. You will get comprehensive coverage of geologic descriptions, quantitative modeling, geostatistics, well testing principles, upscaled models, and history matching. •Contains worked-out numerical examples and cases studies•Provides software simulation modules that demonstrate modeling and analysis•Written by a team of experienced engineers and academics


Fundamentals of Basin and Petroleum Systems Modeling

Fundamentals of Basin and Petroleum Systems Modeling

Author: Thomas Hantschel

Publisher: Springer Science & Business Media

Published: 2009-04-09

Total Pages: 486

ISBN-13: 3540723188

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The first comprehensive presentation of methods and algorithms used in basin modeling, this text provides geoscientists and geophysicists with an in-depth view of the underlying theory and includes advanced topics such as probabilistic risk assessment methods.


Adaptive Approach to Petroleum Reservoir Simulation

Adaptive Approach to Petroleum Reservoir Simulation

Author: Stanislav Ursegov

Publisher: Springer Nature

Published: 2021-01-31

Total Pages: 91

ISBN-13: 3030674746

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This book presents unique features of the adaptive modeling approach based on new machine learning algorithms for petroleum exploration, development, and production. The adaptive approach helps simulation engineers and geoscientists to create adequate geological and hydrodynamic models. This approach is proven to be a real alternative to traditional techniques, such as deterministic modeling. Currently, machine-learning algorithms grow in popularity because they provide consistency, predictiveness, and convenience. The primary purpose of this book is to describe the theoretical state of the adaptive approach and show some examples of its implementation in simulation and forecasting different reservoir processes.


Petroleum and Basin Evolution

Petroleum and Basin Evolution

Author: Dietrich H. Welte

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 555

ISBN-13: 3642604234

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This book has been prepared by the collaborative effort of two somewhat separate technical groups: the researchers at the Institute for Petroleum and Organic Geochemistry, Forschungszentrum Jii lich (KFA), and the technical staff of Integrated Exploration Systems (IES). One of us, Donald R. Baker, from Rice University, Houston, has spent so much time at KFA as a guest scientist and researcher that it is most appropriate for him to contribute to the book. During its more than 20-year history the KFA group has made numerous and significant contributions to the understanding of petroleum evolution. The KFA researchers have emphasized both the field and laboratory approaches to such important problems as source rock recognition and evaluation, oil and gas generation, maturation of organic matter, expulsion and migration of hydrocarbons, and crude oil composition and alteration. IES Jiilich has been a leader in the development and application of numerical simulation (basin modeling) procedures. The cooperation between the two groups has resulted in a very fruitful synergy effect both in the development of modeling software and in its application. The purpose of the present volume developed out of the 1994 publication by the American Association of Petroleum Geologists of a collection of individually authored papers entitled The Petroleum System - From Source to Trap, edited by L. B. Magoon and W. G. Dow.


Basin Modeling

Basin Modeling

Author: Kenneth E. Peters

Publisher: AAPG

Published: 2012-04-20

Total Pages: 354

ISBN-13: 0891819037

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"This special volume contains a selection of articles presented at the AAPG Hedberg Research Conference on Basin and Petroleum System Modeling (BPSM) held in Napa, California, on May 3-8, 2009."--P. 1.


Shared Earth Modeling

Shared Earth Modeling

Author: John R. Fanchi

Publisher: Gulf Professional Publishing

Published: 2002-07-31

Total Pages: 320

ISBN-13: 0750675225

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Introduction to shared earth modeling -- Geology -- Petrophysics -- Well logging -- Geophysics -- Fluid properties -- Measures of rock-fluid interactions -- Applications of rock-fluid interactions -- Fluid flow equations -- Fundamentals of reservoir characterization -- Modern reservoir characterization Techniques -- Well testing -- Production analysis -- Reservoir flow simulation -- Reservoir management -- Improved recovery.


Geostatistics Tróia '92

Geostatistics Tróia '92

Author: A.O. Soares

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 1097

ISBN-13: 940111739X

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The contributions in this book were presented at the Fourth International Geostatistics Congress held in Tróia, Portugal, in September 1992. They provide a comprehensive account of the current state of the art of geostatistics, including recent theoretical developments and new applications. In particular, readers will find descriptions and applications of the more recent methods of stochastic simulation together with data integration techniques applied to the modelling of hydrocabon reservoirs. In other fields there are stationary and non-stationary geostatistical applications to geology, climatology, pollution control, soil science, hydrology and human sciences. The papers also provide an insight into new trends in geostatistics particularly the increasing interaction with many other scientific disciplines. This book is a significant reference work for practitioners of geostatistics both in academia and industry.


An Introduction to Reservoir Simulation Using MATLAB/GNU Octave

An Introduction to Reservoir Simulation Using MATLAB/GNU Octave

Author: Knut-Andreas Lie

Publisher: Cambridge University Press

Published: 2019-08-08

Total Pages: 677

ISBN-13: 1108492436

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Presents numerical methods for reservoir simulation, with efficient implementation and examples using widely-used online open-source code, for researchers, professionals and advanced students. This title is also available as Open Access on Cambridge Core.


The Future of Geological Modelling in Hydrocarbon Development

The Future of Geological Modelling in Hydrocarbon Development

Author: Adam Robinson

Publisher: Geological Society of London

Published: 2008

Total Pages: 240

ISBN-13: 9781862392663

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The 3D geological model is still regarded as one of the newest and most innovative tools for reservoir management purposes. The computer modelling of structures, rock properties and fluid flow in hydrocarbon reservoirs has evolved from a specialist activity to part of the standard desktop toolkit. The application of these techniques has allowed all disciplines of the subsurface team to collaborate in a common workspace. In today's asset teams, the role of the geological model in hydrocarbon development planning is key and will be for some time ahead. The challenges that face the geologists and engineers will be to provide more seamless interaction between static and dynamic models. This interaction requires the development of conventional and unconventional modelling algorithms and methodologies in order to provide more risk-assessed scenarios, thus enabling geologists and engineers to better understand and capture inherent uncertainties at each aspect of the geological model's life.