Machine learning applications in subsurface energy resource management : (Record no. 5052)
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000 -LEADER | |
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fixed length control field | 03231cam a22004937i 4500 |
001 - CONTROL NUMBER | |
control field | 9781003207009 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | FlBoTFG |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240213122826.0 |
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
fixed length control field | m o d |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
fixed length control field | cr cnu---unuuu |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 221206s2022 flu o 000 0 eng d |
040 ## - CATALOGING SOURCE | |
Original cataloging agency | OCoLC-P |
Language of cataloging | eng |
Description conventions | rda |
-- | pn |
Transcribing agency | OCoLC-P |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781003207009 |
Qualifying information | (electronic bk.) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 1003207006 |
Qualifying information | (electronic bk.) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781000823899 |
Qualifying information | (electronic bk. : EPUB) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 100082389X |
Qualifying information | (electronic bk. : EPUB) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781000823875 |
Qualifying information | (electronic bk. : PDF) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 1000823873 |
Qualifying information | (electronic bk. : PDF) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
Canceled/invalid ISBN | 9781032074528 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
Canceled/invalid ISBN | 1032074523 |
024 7# - OTHER STANDARD IDENTIFIER | |
Standard number or code | 10.1201/9781003207009 |
Source of number or code | doi |
035 ## - SYSTEM CONTROL NUMBER | |
System control number | (OCoLC)1353293072 |
035 ## - SYSTEM CONTROL NUMBER | |
System control number | (OCoLC-P)1353293072 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | TJ163.2 |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | TEC |
Subject category code subdivision | 047000 |
Source | bisacsh |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | COM |
Subject category code subdivision | 062000 |
Source | bisacsh |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | KNAT |
Source | bicssc |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 621.0420285631 |
Edition number | 23 |
245 00 - TITLE STATEMENT | |
Title | Machine learning applications in subsurface energy resource management : |
Remainder of title | state of the art and future prognosis / |
Statement of responsibility, etc. | edited by Srikanta Mishra. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Place of production, publication, distribution, manufacture | Boca Raton : |
Name of producer, publisher, distributor, manufacturer | CRC Press, |
Date of production, publication, distribution, manufacture, or copyright notice | 2022. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 1 online resource (1 volume) |
336 ## - CONTENT TYPE | |
Content type term | text |
Content type code | txt |
Source | rdacontent |
337 ## - MEDIA TYPE | |
Media type term | computer |
Media type code | c |
Source | rdamedia |
338 ## - CARRIER TYPE | |
Carrier type term | online resource |
Carrier type code | cr |
Source | rdacarrier |
520 ## - SUMMARY, ETC. | |
Summary, etc. | The utilization of machine learning (ML) techniques to understand hidden patterns and build data-driven predictive models from complex multivariate datasets is rapidly increasing in many applied science and engineering disciplines, including geo-energy. Motivated by these developments, Machine Learning Applications in Subsurface Energy Resource Management presents a current snapshot of the state of the art and future outlook for ML applications to manage subsurface energy resources (e.g., oil and gas, geologic carbon sequestration, and geothermal energy). Covers ML applications across multiple application domains (reservoir characterization, drilling, production, reservoir modeling, and predictive maintenance) Offers a variety of perspectives from authors representing operating companies, universities, and research organizations Provides an array of case studies illustrating the latest applications of several ML techniques Includes a literature review and future outlook for each application domain This book is targeted at practicing petroleum engineers or geoscientists interested in developing a broad understanding of ML applications across several subsurface domains. It is also aimed as a supplementary reading for graduate-level courses and will also appeal to professionals and researchers working with hydrogeology and nuclear waste disposal. |
588 ## - SOURCE OF DESCRIPTION NOTE | |
Source of description note | OCLC-licensed vendor bibliographic record. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Power resources |
General subdivision | Management |
-- | Data processing. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Machine learning. |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | TECHNOLOGY / Petroleum |
Source of heading or term | bisacsh |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | COMPUTERS / Data Modeling & Design |
Source of heading or term | bisacsh |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Mishra, Srikanta, |
Dates associated with a name | 1958- |
Relator term | editor. |
Real World Object URI | https://isni.org/isni/0000000048139782 |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Materials specified | Taylor & Francis |
Uniform Resource Identifier | <a href="https://www.taylorfrancis.com/books/9781003207009">https://www.taylorfrancis.com/books/9781003207009</a> |
856 42 - ELECTRONIC LOCATION AND ACCESS | |
Materials specified | OCLC metadata license agreement |
Uniform Resource Identifier | <a href="http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf">http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf</a> |
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