Geostatistical Methods for Reservoir Geophysics / (Record no. 13603)

MARC details
000 -LEADER
fixed length control field 02465cam a22003135i 4500
001 - CONTROL NUMBER
control field 10728
003 - CONTROL NUMBER IDENTIFIER
control field IN-BhIIT
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240719172707.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170408s2017 gw |||| o |||| 0|eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319532004 (hb)
040 ## - CATALOGING SOURCE
Original cataloging agency IN-BhIIT
041 ## - LANGUAGE CODE
Language code of text eng
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 550
Book number AZE/G
100 1# - MAIN ENTRY--AUTHOR NAME
Personal name Azevedo, Leonardo.
Relator term Author.
245 10 - TITLE STATEMENT
Title Geostatistical Methods for Reservoir Geophysics /
Statement of responsibility, etc by Leonardo Azevedo, Amílcar Soares.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Switzerland :
Name of publisher Springer,
Year of publication 2017.
300 ## - PHYSICAL DESCRIPTION
Number of Pages xxxvii, 141 p. :
Other physical details(ill.) ill. ;
Dimensions(size) 24 cm.
490 1# - SERIES STATEMENT
Series statement Advances in oil and gas exploration and production
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction -- Fundamental geostatistical tools for data integration -- Simulation Models of Physical Phenomena in Earth Sciences -- Integration of geophysical data for reservoir modeling and characterization -- Data integration into geostatistical seismic inversion methodologies -- Afterword.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Economic geology.
Topical Term Geology
General subdivision Statistical methods.
Topical Term Geophysics.
Topical Term Economic Geology.
Topical Term Quantitative Geology.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Soares, Amílcar.
Relator term Joint author.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Technical Reference Book
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Full call number Accession Number Cost, replacement price Price effective from Koha item type
Not withdrawn Not Lost not damaged   SEOCS Central Library, IIT Bhubaneswar Central Library, IIT Bhubaneswar 22/12/2023 27 5169.41 550 AZE/G 10728 7081.38 22/12/2023 Technical Reference Book

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