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Machine learning guide for oil and gas using Python : (Record no. 678)

MARC details
000 -LEADER
fixed length control field 03249cam a2200445 i 4500
001 - CONTROL NUMBER
control field on1246283594
003 - CONTROL NUMBER IDENTIFIER
control field GHU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260605070437.0
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 |n|||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210416s2021 mau ob 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780128219300
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0128219300
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780128219294
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0128219297
Qualifying information (electronic bk.)
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1246283594
Canceled/invalid control number (OCoLC)1246142343
-- (OCoLC)1249100538
037 ## - SOURCE OF ACQUISITION
Stock number 6546221
Source of stock number/acquisition Proquest Ebook Central
037 ## - SOURCE OF ACQUISITION
Stock number 9780128219300
Source of stock number/acquisition O'Reilly Media
040 ## - CATALOGING SOURCE
Original cataloging agency YDX
Language of cataloging eng
Description conventions rda
-- pn
Transcribing agency GHU
Modifying agency GHLIB
049 ## - LOCAL HOLDINGS (OCLC)
Holding library MAIN
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TN871 BEL
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 622.3380285631
Edition information 23
100 10 - MAIN ENTRY--PERSONAL NAME
Personal name Belyadi, Hoss,
Relator term author.
Real World Object URI https://id.oclc.org/worldcat/entity/E39PCjrh9dKhH4tMDdWMvwgdwC
Authority record control number or standard number http://id.loc.gov/authorities/names/no2018029339.
245 10 - TITLE STATEMENT
Title Machine learning guide for oil and gas using Python :
Remainder of title a step-by-step breakdown with data, algorithms, codes, and applications /
Statement of responsibility, etc. Hoss Belyadi, Alireza Haghighat.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cambridge, MA :
Name of producer, publisher, distributor, manufacturer Gulf Professional Publishing,
Date of production, publication, distribution, manufacture, or copyright notice 2021.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (xiii, 462 pages)
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.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc. Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a critical training and resource tool to help engineers understand machine learning theory and practice, specifically referencing use cases in oil and gas. The reference moves from explaining how Python works to step-by-step examples of utilization in various oil and gas scenarios, such as well testing, shale reservoirs and production optimization. Petroleum engineers are quickly applying machine learning techniques to their data challenges, but there is a lack of references beyond the math or heavy theory of machine learning. Machine Learning Guide for Oil and Gas Using Python details the open-source tool Python by explaining how it works at an introductory level then bridging into how to apply the algorithms into different oil and gas scenarios. While similar resources are often too mathematical, this book balances theory with applications, including use cases that help solve different oil and gas data challenges.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Description based on online resource; title from digital title page (ProQuest Ebook Central, viewed on September 12, 2024).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Petroleum engineering
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Natural gas
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning.
Authority record control number or standard number http://id.loc.gov/authorities/subjects/sh85079324.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Haghighat, Alireza,
Relator term author.
Real World Object URI https://id.oclc.org/worldcat/entity/E39PCjJTDbQVb4YbCyT33Fd9tC
Authority record control number or standard number http://id.loc.gov/authorities/names/no2015009580.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
Main entry heading Belyadi, Hoss.
Title Machine learning guide for oil and gas using Python
International Standard Book Number 0128219297
-- 9780128219294
Record control number (OCoLC)1195448296.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://ezproxy.library.qmul.ac.uk/login?url=https://app.knovel.com/hotlink/toc/id:kpMLGOGUP4/machine-learning-guide?kpromoter=marc">http://ezproxy.library.qmul.ac.uk/login?url=https://app.knovel.com/hotlink/toc/id:kpMLGOGUP4/machine-learning-guide?kpromoter=marc</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Books
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Total checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Library of Congress Classification     GHU Library GHU Library 06/05/2026 BAI   TN871 BEL GHU4338683638 06/05/2026 06/05/2026 Books