Recent advances in the application of computational intelligence techniques in oil and gas reservoir characterisation: A comparative study

Journal of Experimental and Theoretical Artificial Intelligence

Volumn 26, Issue 4, 2014, Pages 551-570

  Anifowose, Fatai ^a   Adeniye, Suli ^a   Abdulraheem, Abdulazeez ^a  

^a KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS   (Saudi Arabia)

Author keywords

computational intelligence; functional networks; machine learning; petroleum reservoir characterisation; support vector machines; Type 2 fuzzy logic system

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER CIRCUITS; DATA HANDLING; FUZZY LOGIC; GASOLINE; INTELLIGENT COMPUTING; LEARNING SYSTEMS; PETROLEUM RESERVOIRS; POROSITY; SUPPORT VECTOR MACHINES;

APPROPRIATE TECHNIQUES; COMPUTATIONAL INTELLIGENCE TECHNIQUES; CORRELATION COEFFICIENT; FUNCTIONAL NETWORK; OIL AND GAS RESERVOIR; PREDICTIVE CAPABILITIES; RESERVOIR CHARACTERISATION; TYPE-2 FUZZY LOGIC SYSTEM;

PETROLEUM RESERVOIR EVALUATION;

EID: 84909955739     PISSN: 0952813X     EISSN: 13623079     Source Type: Journal    
DOI: 10.1080/0952813X.2014.924577     Document Type: Article

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