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Artificial intelligence and data ana...

Temizel, Cenk.

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Artificial intelligence and data analytics for exploration and production /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Artificial intelligence and data analytics for exploration and production // Fred Aminzadeh, Cenk Temizel and Yasin Hajizadeh.
作者:	Aminzadeh, Fred.
其他作者:	Temizel, Cenk.
出版者:	Hoboken, NJ :John Wiley & Sons ; : c2022.,
面頁冊數:	xxvi, 577 p. :ill. (some col.) ;24 cm.
標題:	Artificial intelligence. -
ISBN:	9781119879695

Artificial intelligence and data analytics for exploration and production /
Aminzadeh, Fred.

Artificial intelligence and data analytics for exploration and production /Fred Aminzadeh, Cenk Temizel and Yasin Hajizadeh. - Hoboken, NJ :John Wiley & Sons ;c2022. - xxvi, 577 p. :ill. (some col.) ;24 cm.

Includes bibliographical references (p. 495-554) and index.

This groundbreaking new book is written by some of the foremost authorities on the application of data science and artificial intelligence techniques in exploration and production in the energy industry, covering the most comprehensive and updated new processes, concepts, and practical applications in the field. The book provides an in-depth treatment of the foundations of Artificial Intelligence (AI) Machine Learning, and Data Analytics (DA). It also includes many of AI-DA applications in oil and gas reservoirs exploration, development, and production. The book covers the basic technical details on many tools used in "smart oil fields". This includes topics such as pattern recognition, neural networks, fuzzy logic, evolutionary computing, expert systems, artificial intelligence machine learning, human-computer interface, natural language processing, data analytics and next-generation visualization. While theoretical details will be kept to the minimum, these topics are introduced from oil and gas applications viewpoints.

ISBN: 9781119879695US248.95 Subjects--Topical Terms:

516317
Artificial intelligence.

LC Class. No.: Q335 / .A45 2022

Dewey Class. No.: 006.3

Artificial intelligence and data analytics for exploration and production /
LDR:01837cam a2200217 a 4500 001 2321830
003 OCoLC
005 20221125123548.0
008 231027s2022 njua b 001 0 eng d
020 $a 9781119879695 $q (hbk.) : $c US248.95
020 $a 1119879698 $q (hbk.)
020 $z 9781119879886 $q (ebk.)
020 $z 9781119879893 $q (ebk.)
035 $a (OCoLC)1342101987
040 $a YDX $b eng $e rda $c YDX $d YDX $d OCLCQ $d OCLCF $d DG1
050 # 4 $a Q335 $b .A45 2022
082 0 4 $a 006.3 $2 23/eng/20220912
100 1 $a Aminzadeh, Fred. $3 666695
245 1 0 $a Artificial intelligence and data analytics for exploration and production / $c Fred Aminzadeh, Cenk Temizel and Yasin Hajizadeh.
260 # $a Hoboken, NJ : $b John Wiley & Sons ; $a Beverly, MA : $b Scrivener Publishing LLC, $c c2022.
300 $a xxvi, 577 p. : $b ill. (some col.) ; $c 24 cm.
504 $a Includes bibliographical references (p. 495-554) and index.
520 # $a This groundbreaking new book is written by some of the foremost authorities on the application of data science and artificial intelligence techniques in exploration and production in the energy industry, covering the most comprehensive and updated new processes, concepts, and practical applications in the field. The book provides an in-depth treatment of the foundations of Artificial Intelligence (AI) Machine Learning, and Data Analytics (DA). It also includes many of AI-DA applications in oil and gas reservoirs exploration, development, and production. The book covers the basic technical details on many tools used in "smart oil fields". This includes topics such as pattern recognition, neural networks, fuzzy logic, evolutionary computing, expert systems, artificial intelligence machine learning, human-computer interface, natural language processing, data analytics and next-generation visualization. While theoretical details will be kept to the minimum, these topics are introduced from oil and gas applications viewpoints.
650 # 0 $a Artificial intelligence. $3 516317
700 1 # $a Temizel, Cenk. $3 3615214
700 1 # $a Hajizadeh, Yasin. $3 3645412