Prediction of oil and gas distribution in K area by inheritance classification Article Swipe

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Yanling Shi , Yongtao Wang , Xuejun Liu , Zhineng Yun , Shichao Xu , Yang Shujiang ·

YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.1088/1755-1315/660/1/012135

Inheritance classification is an interactive multi-attribute pattern recognition method. In the interpretation of geophysical data, combined with the advantages of multiple attributes of gravity, magnetic and electromagnetic in the identification of special lithologic bodies, complex reservoirs and other targets, the heritance classification method can be used to qualitatively predict the distribution of favorable target. Multiple data complementing each other and multi-attribute intelligent classification can effectively reduce the multiple solution of geological interpretation.

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Data Mining

Computer Science

Artificial Intelligence

Mathematical Analysis

Biochemistry

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Inheritance (genetic algorithm) Interpretation (philosophy) Identification (biology) Distribution (mathematics) Data mining Computer science Pattern recognition (psychology) Lithology Artificial intelligence Geology Mathematics Paleontology Ecology Biology Gene Programming language Mathematical analysis Biochemistry

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Type: article
Language: en
Landing Page: https://doi.org/10.1088/1755-1315/660/1/012135
OA Status: diamond
Cited By: 1
References: 2
Related Works: 10
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DOI: https://doi.org/10.1088/1755-1315/660/1/012135

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Title: Prediction of oil and gas distribution in K area by inheritance classification

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Language: en

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Publication year: 2021

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Publication date: 2021-02-01

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Authors: Yanling Shi, Yongtao Wang, Xuejun Liu, Zhineng Yun, Shichao Xu, Yang Shujiang

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Landing page: https://doi.org/10.1088/1755-1315/660/1/012135

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Concepts: Inheritance (genetic algorithm), Interpretation (philosophy), Identification (biology), Distribution (mathematics), Data mining, Computer science, Pattern recognition (psychology), Lithology, Artificial intelligence, Geology, Mathematics, Paleontology, Ecology, Biology, Gene, Programming language, Mathematical analysis, Biochemistry

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Cited by: 1

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abstract_inverted_index.targets,	39
abstract_inverted_index.favorable	53
abstract_inverted_index.heritance	41
abstract_inverted_index.advantages	19
abstract_inverted_index.attributes	22
abstract_inverted_index.geological	71
abstract_inverted_index.lithologic	33
abstract_inverted_index.reservoirs	36
abstract_inverted_index.Inheritance	1
abstract_inverted_index.effectively	65
abstract_inverted_index.geophysical	14
abstract_inverted_index.intelligent	62
abstract_inverted_index.interactive	5
abstract_inverted_index.recognition	8
abstract_inverted_index.distribution	51
abstract_inverted_index.complementing	57
abstract_inverted_index.qualitatively	48
abstract_inverted_index.classification	2, 42, 63
abstract_inverted_index.identification	30
abstract_inverted_index.interpretation	12
abstract_inverted_index.electromagnetic	27
abstract_inverted_index.interpretation.	72
abstract_inverted_index.multi-attribute	6, 61
cited_by_percentile_year.max	94
cited_by_percentile_year.min	90
corresponding_author_ids	https://openalex.org/A5100983851
countries_distinct_count	1
institutions_distinct_count	6
corresponding_institution_ids	https://openalex.org/I98227222
citation_normalized_percentile.value	0.57923497
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	False