Geostatistics And Petroleum Geology

Author : M.E. Hohn
Publisher : Springer Science & Business Media
Page : 235 pages
File Size : 44,8 Mb
Release : 2013-03-11
Category : Mathematics
ISBN : 9789401144254

Get Book

Geostatistics and Petroleum Geology by M.E. Hohn Pdf

This is an extensive revision of a book that I wrote over ten years ago. My purpose then has remained unchanged: to introduce the concepts and methods of spatial statistics to geologists and engineers working with oil and gas data. I believe I have accomplished more than that; just as I learned the basics of variography and kriging from books for mining engineers, this book could be used by scientists from many fields to learn the basics of the subject. I have tried to adopt an introductory and practical approach to the subject, knowing that books that detail the theory are available. What I say and write comes from my own experience. As a geologist working in the public sector, I have had the privilege of using geostatistics in funded research, in answering service requests from industry, and in short courses. I have taught geostatistics in the university classroom, and advised graduate students in theses and dissertations. I have attempted to anticipate the needs and questions of the enquiring scientist because I was there myself, and know the kind of questions and concerns I had at the time I was trying to learn the subject.

Author : M. E. Hohn
Publisher : Unknown
Page : 252 pages
File Size : 45,8 Mb
Release : 1998-11-30
Category : Electronic
ISBN : 9401144265

Get Book

Geostatistics and Petroleum Geology by M. E. Hohn Pdf

Author : Olivier Dubrule
Publisher : Amer Assn of Petroleum Geologists
Page : 52 pages
File Size : 53,7 Mb
Release : 1998
Category : Science
ISBN : 0891811877

Get Book

Geostatistics in Petroleum Geology by Olivier Dubrule Pdf

Author : Timothy C. Coburn,Jeffrey M. Yarus,R. L. Chambers
Publisher : AAPG
Page : 406 pages
File Size : 41,6 Mb
Release : 2005-12-10
Category : Petroleum
ISBN : 9780891817048

Get Book

Stochastic Modeling and Geostatistics by Timothy C. Coburn,Jeffrey M. Yarus,R. L. Chambers Pdf

Author : Michael J. Pyrcz,Clayton V. Deutsch
Publisher : Oxford University Press
Page : 449 pages
File Size : 45,5 Mb
Release : 2014-05
Category : Mathematics
ISBN : 9780199731442

Get Book

Geostatistical Reservoir Modeling by Michael J. Pyrcz,Clayton V. Deutsch Pdf

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

Author : Jeffrey M. Yarus,R. L. Chambers
Publisher : Aapg
Page : 128 pages
File Size : 55,5 Mb
Release : 1994
Category : Petroleum
ISBN : 0891817026

Get Book

Stochastic Modeling and Geostatistics by Jeffrey M. Yarus,R. L. Chambers Pdf

Author : Leonardo Azevedo,Amílcar Soares
Publisher : Springer
Page : 141 pages
File Size : 43,8 Mb
Release : 2017-04-07
Category : Science
ISBN : 9783319532011

Get Book

Geostatistical Methods for Reservoir Geophysics by Leonardo Azevedo,Amílcar Soares Pdf

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.

Author : Y. Z. Ma
Publisher : Springer
Page : 640 pages
File Size : 51,5 Mb
Release : 2019-07-15
Category : Technology & Engineering
ISBN : 9783030178604

Get Book

Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling by Y. Z. Ma Pdf

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.

Author : Daniel F. Merriam,John C. Davis
Publisher : Springer Science & Business Media
Page : 362 pages
File Size : 55,5 Mb
Release : 2012-12-06
Category : Science
ISBN : 9781461513599

Get Book

Geologic Modeling and Simulation by Daniel F. Merriam,John C. Davis Pdf

Modeling and simulation were introduced to the earth sciences about four decades ago. Modeling has proven its worth and now it is an accepted procedure for analyzing and solving geological problems. The papers in this collection are focused on modeling sediment deposition and sedimentary sequences and have a decidedly practical flavor. Some of the leading simulation packages, such as CORRELATOR, SEDFLUX, SEDpak, SEDSIM, STRATA, and STRATSIM are applied to problems in hydrocarbon exploration, oil production, groundwater development, coal-bed appraisal, geothermics, and environmental diagnosis. All of these subjects fall under the broad heading of sedimentary basin analysis. The fifteen papers in this volume are written by internationally recognized experts from academia and industry. The contributions represent the status of geologic modeling and simulation at the start of the 21st century, and will give the reader an insight into current research problems and their possible solutions.

Author : Juliana Y. Leung,Sanjay Srinivasan
Publisher : McGraw Hill Professional
Page : 465 pages
File Size : 50,7 Mb
Release : 2022-01-28
Category : Technology & Engineering
ISBN : 9781259834301

Get Book

Petroleum Reservoir Modeling and Simulation: Geology, Geostatistics, and Performance Prediction by Juliana Y. Leung,Sanjay Srinivasan Pdf

Reservoir engineering fundamentals and applications along with well testing procedures This practical resource lays out the tools and techniques necessary 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. Written by a pair of experts, Petroleum Reservoir Modeling and Simulation: Geology, Geostatistics, and Performance Prediction offers comprehensive coverage of quantitative modeling, geostatistics, well testing principles, upscaled models, and history matching. Throughout, special attention is paid to shale, carbonate, and subsea formations. Coverage includes: An overview of reservoir engineering Spatial correlation Spatial estimation Spatial simulation Geostatistical simulation constrained to higher-order statistics Numerical schemes for flow simulation Gridding schemes for flow simulation Upscaling of reservoir models History matching Dynamic data integration

Author : M. Armstrong,C. Bettini,N. Champigny,A. Galli,A. Remacre
Publisher : Springer Science & Business Media
Page : 235 pages
File Size : 42,5 Mb
Release : 2013-03-09
Category : Science
ISBN : 9789401717014

Get Book

Geostatistics Rio 2000 by M. Armstrong,C. Bettini,N. Champigny,A. Galli,A. Remacre Pdf

Geostatistics Rio 2000 includes fifteen contributions, five of which are on applications in petroleum science and ten are on mining geostatistics. These contributions were presented at the 31st International Geological Congress, held in Rio de Janeiro, Brazil, from 6-17 August, 2000. Stochastic simulation was the key theme of these case studies. A wide range of methods was used: truncated gaussian and plurigaussian, SIS and SGS, boolean methods and multi-point attractors. Audience: The volume will be of value to scientists, researchers, and professionals in geology, mining engineering, petroleum engineering, mathematics and statistics, as well as those working for mining and oil companies.

Author : Jef Caers
Publisher : Unknown
Page : 88 pages
File Size : 47,8 Mb
Release : 2005
Category : Technology & Engineering
ISBN : 1555631061

Get Book

Petroleum Geostatistics by Jef Caers Pdf

Author : Joseph Edward Robinson
Publisher : Unknown
Page : 180 pages
File Size : 43,5 Mb
Release : 1982
Category : Petroleum
ISBN : UCAL:B4516691

Get Book

Computer Applications in Petroleum Geology by Joseph Edward Robinson Pdf

"This book is intended for practical exploration geologists in the day-to-day use of the geologic data base. It should show them how to use their expertise in the selection and display of computer-generated products."--Preface.

Author : Oy Leuangthong,Clayton V. Deutsch
Publisher : Springer Science & Business Media
Page : 1142 pages
File Size : 55,5 Mb
Release : 2008-01-24
Category : Mathematics
ISBN : 9781402036101

Get Book

Geostatistics Banff 2004 by Oy Leuangthong,Clayton V. Deutsch Pdf

The return of the congress to North America after 20 years of absence could not have been in a more ideal location. The beauty of Banff and the many offerings of the Rocky Mountains was the perfect background for a week of interesting and innovative discussions on the past, present and future of geostatistics. The congress was well attended with approximately 200 delegates from 19 countries across six continents. There was a broad spectrum of students and seasoned geostatisticians who shared their knowledge in many areas of study including mining, petroleum, and environmental applications. You will find 119 papers in this two volume set. All papers were presented at the congress and have been peer-reviewed. They are grouped by the different sessions that were held in Banff and are in the order of presentation. These papers provide a permanent record of different theoretical perspectives from the last four years. Not all of these ideas will stand the test of time and practice; however, their originality will endure. The practical applications in these proceedings provide nuggets of wisdom to those struggling to apply geostatistics in the best possible way. Students and practitioners will be digging through these papers for many years to come. Oy Leuangthong Clayton V. Deutsch ACKNOWLEDGMENTS We would like to thank the industry sponsors who contributed generously to the overall success and quality of the congress: De Beers Canada Earth Decision Sciences Maptek Chile Ltda. Mira Geoscience Nexen Inc. Petro-Canada Placer Dome Inc.

Author : Oy Leuangthong,K. Daniel Khan,Clayton V. Deutsch
Publisher : John Wiley & Sons
Page : 145 pages
File Size : 41,7 Mb
Release : 2011-09-20
Category : Mathematics
ISBN : 9781118210512

Get Book

Solved Problems in Geostatistics by Oy Leuangthong,K. Daniel Khan,Clayton V. Deutsch Pdf

This unique book presents a learn-by-doing introduction to geostatistics. Geostatistics provides the essential numerical tools for addressing research problems that are encountered in fields of study such as geology, engineering, and the earth sciences. Illustrating key methods through both theoretical and practical exercises, Solved Problems in Geostatistics is a valuable and well-organized collection of worked-out problems that allow the reader to master the statistical techniques for modeling data in the geological sciences. The book's scope of coverage begins with the elements from statistics and probability that form the foundation of most geostatistical methodologies, such as declustering, debiasing methods, and Monte Carlo simulation. Next, the authors delve into three fundamental areas in conventional geostatistics: covariance and variogram functions; kriging; and Gaussian simulation. Finally, special topics are introduced through problems involving utility theory, loss functions, and multiple-point geostatistics. Each topic is treated in the same clearly organized format. First, an objective presents the main concepts that will be established in the section. Next, the background and assumptions are outlined, supplying the comprehensive foundation that is necessary to begin work on the problem. A solution plan demonstrates the steps and considerations that have to be taken when working with the exercise, and the solution allows the reader to check their work. Finally, a remarks section highlights the overarching principles and noteworthy aspects of the problem. Additional exercises are available via a related Web site, which also includes data related to the book problems and software programs that facilitate their resolution. Enforcing a truly hands-on approach to the topic, Solved Problems in Geostatistics is an indispensable supplement for courses on geostatistics and spatial statistics a the upper-undergraduate and graduate levels.It also serves as an applied reference for practicing professionals in the geosciences.