Geostatistical Reservoir Modeling

Author: Michael J. Pyrcz,Clayton V. Deutsch

Publisher: Oxford University Press

ISBN: 0199731446

Category: Mathematics

Page: 433

View: 4280

A revised edition that provides a full update on the most current methods, tools, and research in petroleum geostatistics.
Posted in Mathematics

Geostatistical Reservoir Modeling

Author: Michael J. Pyrcz,Clayton V. Deutsch

Publisher: Oxford University Press

ISBN: 0199358834

Category: Mathematics

Page: 496

View: 2724

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.
Posted in Mathematics

Geostatistical Reservoir Modeling

Author: Clayton V. Deutsch

Publisher: Oxford University Press, USA

ISBN: 9780195138061

Category: Science

Page: 376

View: 5475

This book brings the practice of petroleum geostatistics into a coherent framework, focusing on tools, techniques, examples, and guidance. It emphasizes the interaction between geophysicists, geologists, and engineers. Intended as a reference text for practitioners, the book is also appropriate for "short courses" and advanced undergraduate or graduate courses in reservoir characterization.
Posted in Science

Multiple-point Geostatistics

Stochastic Modeling with Training Images

Author: Professor Gregoire Mariethoz,Professor Jef Caers

Publisher: John Wiley & Sons

ISBN: 1118662938

Category: Science

Page: 376

View: 6144

This book provides a comprehensive introduction to multiple-point geostatistics, where spatial continuity is described using training images. Multiple-point geostatistics aims at bridging the gap between physical modelling/realism and spatio-temporal stochastic modelling. The book provides an overview of this new field in three parts. Part I presents a conceptual comparison between traditional random function theory and stochastic modelling based on training images, where random function theory is not always used. Part II covers in detail various algorithms and methodologies starting from basic building blocks in statistical science and computer science. Concepts such as non-stationary and multi-variate modeling, consistency between data and model, the construction of training images and inverse modelling are treated. Part III covers three example application areas, namely, reservoir modelling, mineral resources modelling and climate model downscaling. This book will be an invaluable reference for students, researchers and practitioners of all areas of the Earth Sciences where forecasting based on spatio-temporal data is performed.
Posted in Science

Geostatistical Methods for Reservoir Geophysics

Author: Leonardo Azevedo,Amílcar Soares

Publisher: Springer

ISBN: 3319532014

Category: Science

Page: 141

View: 7401

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.
Posted in Science

Reservoir Modelling

A Practical Guide

Author: Steve Cannon

Publisher: John Wiley & Sons

ISBN: 1119313465

Category: Science

Page: 328

View: 9965

The essential resource to an integrated approach to reservoir modelling by highlighting both the input of data and the modelling results Reservoir Modelling offers a comprehensive guide to the procedures and workflow for building a 3-D model. Designed to be practical, the principles outlined can be applied to any modelling project regardless of the software used. The author — a noted practitioner in the field — captures the heterogeneity due to structure, stratigraphy and sedimentology that has an impact on flow in the reservoir. This essential guide follows a general workflow from data QC and project management, structural modelling, facies and property modelling to upscaling and the requirements for dynamic modelling. The author discusses structural elements of a model and reviews both seismic interpretation and depth conversion, which are known to contribute most to volumetric uncertainty and shows how large-scale stratigraphic relationships are integrated into the reservoir framework. The text puts the focus on geostatistical modelling of facies and heterogeneities that constrain the distribution of reservoir properties including porosity, permeability and water saturation. In addition, the author discusses the role of uncertainty analysis in the static model and its impact on volumetric estimation. The text also addresses some typical approaches to modelling specific reservoirs through a mix of case studies and illustrative examples and: Offers a practical guide to the use of data to build a successful reservoir model Draws on the latest advances in 3-D modelling software Reviews facies modelling, the different methods and the need for understanding the geological interpretation of cores and logs Presents information on upscaling both the structure and the properties of a fine-scale geological model for dynamic simulation Stresses the importance of an interdisciplinary team-based approach Written for geophysicists, reservoir geologists and petroleum engineers, Reservoir Modelling offers the essential information needed to understand a reservoir for modelling and contains the multidisciplinary nature of a reservoir modelling project.
Posted in Science

Reservoir Model Design

A Practitioner's Guide

Author: Philip Ringrose,Mark Bentley

Publisher: Springer

ISBN: 9400754973

Category: Science

Page: 249

View: 2584

This book gives practical advice and ready to use tips on the design and construction of subsurface reservoir models. The design elements cover rock architecture, petrophysical property modelling, multi-scale data integration, upscaling and uncertainty analysis. Philip Ringrose and Mark Bentley share their experience, gained from over a hundred reservoir modelling studies in 25 countries covering clastic, carbonate and fractured reservoir types. The intimate relationship between geology and fluid flow is explored throughout, showing how the impact of fluid type, production mechanism and the subtleties of single- and multi-phase flow combine to influence reservoir model design. Audience: The main audience for this book is the community of applied geoscientists and engineers involved in the development and use of subsurface fluid resources. The book is suitable for a range of Master’s level courses in reservoir characterisation, modelling and engineering. · Provides practical advice and guidelines for users of 3D reservoir modelling packages · Gives advice on reservoir model design for the growing world-wide activity in subsurface reservoir modelling · Covers rock modelling, property modelling, upscaling and uncertainty handling · Encompasses clastic, carbonate and fractured reservoirs
Posted in Science

Modeling Uncertainty in the Earth Sciences

Author: Professor Jef Caers

Publisher: John Wiley & Sons

ISBN: 1119998719

Category: Science

Page: 248

View: 5715

Modeling Uncertainty in the Earth Sciences highlights the various issues, techniques and practical modeling tools available for modeling the uncertainty of complex Earth systems and the impact that it has on practical situations. The aim of the book is to provide an introductory overview which covers a broad range of tried-and-tested tools. Descriptions of concepts, philosophies, challenges, methodologies and workflows give the reader an understanding of the best way to make decisions under uncertainty for Earth Science problems. The book covers key issues such as: Spatial and time aspect; large complexity and dimensionality; computation power; costs of 'engineering' the Earth; uncertainty in the modeling and decision process. Focusing on reliable and practical methods this book provides an invaluable primer for the complex area of decision making with uncertainty in the Earth Sciences.
Posted in Science

Principles of Applied Reservoir Simulation

Author: John R. Fanchi

Publisher: Elsevier

ISBN: 0750679336

Category: Science

Page: 511

View: 3528

What makes this book so different and valuable to the engineer is the accompanying software, used by reservoir engineers all over the world every day. The new software, IFLO (replacing WINB4D, in previous editions), is a simulator that the engineer can easily install in a Windows operating environment. IFLO generates simulations of how the well can be tapped and feeds this to the engineer in dynamic 3D perspective. This completely new software is much more functional, with better graphics and more scenarios from which the engineer can generate simulations. BENEFIT TO THE READER: This book and software helps the reservoir engineer do his or her job on a daily basis, better, more economically, and more efficiently. Without simulations, the reservoir engineer would not be able to do his or her job at all, and the technology available in this product is far superior to most companies internal simulation software.-
Posted in Science

Applied Geostatistics

Author: Edward H. Isaaks,R. Mohan Srivastava

Publisher: Oxford University Press, USA

ISBN: 9780195050134

Category: Mathematics

Page: 561

View: 3103

"The book is so easy to follow that many readers may not even need formal instruction and may find it suitable for self-tutoring. I predict the volume will be a standard geostatistical reference for the decade." --Mathematical Geology
Posted in Mathematics

Applied Geostatistics with SGeMS

A User's Guide

Author: Nicolas Remy,Alexandre Boucher,Jianbing Wu

Publisher: Cambridge University Press

ISBN: 9781139473460

Category: Science

Page: N.A

View: 5717

The Stanford Geostatistical Modeling Software (SGeMS) is an open-source computer package for solving problems involving spatially related variables. It provides geostatistics practitioners with a user-friendly interface, an interactive 3-D visualization, and a wide selection of algorithms. This practical book provides a step-by-step guide to using SGeMS algorithms. It explains the underlying theory, demonstrates their implementation, discusses their potential limitations, and helps the user make an informed decision about the choice of one algorithm over another. Users can complete complex tasks using the embedded scripting language, and new algorithms can be developed and integrated through the SGeMS plug-in mechanism. SGeMS was the first software to provide algorithms for multiple-point statistics, and the book presents a discussion of the corresponding theory and applications. Incorporating the full SGeMS software (now available from www.cambridge.org/9781107403246), this book is a useful user-guide for Earth Science graduates and researchers, as well as practitioners of environmental mining and petroleum engineering.
Posted in Science

Geostatistics for Natural Resources Evaluation

Author: Pierre Goovaerts

Publisher: Oxford University Press on Demand

ISBN: 9780195115383

Category: Science

Page: 483

View: 5010

This text provides an advanced introduction to the theory and applications of geostatistics, including tools for description, modeling spatial continuity, spatial prediction, assessment of local uncertainty, and stochastic simulation.
Posted in Science

Geostatistics for Seismic Data Integration in Earth Models

2003 Distinguished Instructor Short Course

Author: Olivier Dubrule,Society of Exploration Geophysicists,European Association of Geoscientists and Engineers

Publisher: SEG Books

ISBN: 1560801212

Category: Technology & Engineering

Page: 273

View: 9101

Posted in Technology & Engineering

Uncertainty Analysis and Reservoir Modeling

Developing and Managing Assets in an Uncertain World, AAPG Memoir 96

Author: Y. Zee Ma,Paul R. La Pointe

Publisher: AAPG

ISBN: 0891813780

Category: Science

Page: 314

View: 9006

Posted in Science

Petroleum Geostatistics

Author: Jef Caers

Publisher: N.A

ISBN: 9781555631062

Category: Technology & Engineering

Page: 88

View: 2940

Posted in Technology & Engineering