Petroleum Geostatistics PDF Download
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Author: Jef Caers
Publisher:
ISBN: 9781555631062
Category : Technology & Engineering
Languages : en
Pages : 88
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Book Description
Author: Jef Caers
Publisher:
ISBN: 9781555631062
Category : Technology & Engineering
Languages : en
Pages : 88
Get Book Here
Book Description
Author: Michael Hohn
Publisher: Springer Science & Business Media
ISBN: 1461571065
Category : Science
Languages : en
Pages : 274
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Book Description
This is the sixth contribution to the Computer Methods in the Geosciences series and it continues the tradition of being practical, germaine, and easy to read. Michael Hohn in his presentation, Geostatistics and Petroleum Geology, nicely compliments the other books in the series and brings to the readers some new techniques by which to analyze their data. New approaches always result in new ideas or enhancement of old ones. The French School of Geostatistiques (Fontainebleau, France) was founded and developed by Georges Matheron in response to problems in mining explo ration and exploitation. This approach has been used successfully in that industry since the mid-1960s, but only recently applied to similar problems in petroleum. Likewise, these applications have been successful in this applied field as well and here Hohn gives examples. Standard subjects of the field of geostatistics are explored and discussed-the semivariogram, kriging, cokriging, nonlinear and parametric estimation, and conditional simulation. These may be unrecognizable terms to the readers now, but upon completion of reading the book, they will be fimiliar ones. Each subject is discussed in detail with appropriate and pertinent case studies, taken from the author's own research or from the literature. The author notes the book is for working geologists in the petroleum industry.
Author: M.E. Hohn
Publisher: Springer Science & Business Media
ISBN: 9401144257
Category : Mathematics
Languages : en
Pages : 252
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Book Description
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: Michael J. Pyrcz
Publisher: Oxford University Press
ISBN: 0199731446
Category : Mathematics
Languages : en
Pages : 449
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Book Description
A revised edition that provides a full update on the most current methods, tools, and research in petroleum geostatistics.
Author: Timothy C. Coburn
Publisher: AAPG
ISBN: 0891817042
Category : Petroleum
Languages : en
Pages : 406
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Book Description
Author: M. E. Hohn
Publisher:
ISBN: 9789401144261
Category :
Languages : en
Pages : 252
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Book Description
Author: Olivier Dubrule
Publisher: Amer Assn of Petroleum Geologists
ISBN: 9780891811879
Category : Science
Languages : en
Pages : 52
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Book Description
Author: Professor Gregoire Mariethoz
Publisher: John Wiley & Sons
ISBN: 1118662938
Category : Science
Languages : en
Pages : 376
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Book Description
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.
Author: Mohan Kelkar
Publisher:
ISBN: 9781555630959
Category : Technology & Engineering
Languages : en
Pages : 264
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Book Description
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.
