Evaluation of coalbed methane reservoirs from geophysical log data using an improved fuzzy comprehensive decision method and a homologous neural network

Geophysical Prospecting

Volumn 50, Issue 5, 2002, Pages 453-462

  Hou, J ^a  

^a CHINA UNIVERSITY OF GEOSCIENCES   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; COAL; DECISION THEORY; FUZZY SETS; GEOPHYSICAL PROSPECTING; LEARNING ALGORITHMS; NEURAL NETWORKS; OPTIMIZATION; REGRESSION ANALYSIS;

COALBED METHANE RESERVOIRS;

METHANE;

COALBED METHANE; FUZZY MATHEMATICS; GEOPHYSICAL METHOD; RESERVOIR CHARACTERIZATION; WELL LOGGING;

EID: 0036711719     PISSN: 00168025     EISSN: None     Source Type: Journal    
DOI: 10.1046/j.1365-2478.2002.00334.x     Document Type: Article

References (8)

1. Neural networks in geophysical applications
2. Estimating coalbed gas content and sorption isotherm using well log data
3. Geophysical well logging techniques of evaluation for coalbed methane reservoirs
4. A comparison of fuzzy and gray integrated diagnosis methods using log multi-parameter information
5. An overview of coalbed methane exploration and exploitation