Integrated fractured reservoir characterization using neural networks and fuzzy logic: Three case studies

Journal of Petroleum Geology

Volumn 24, Issue 4, 2001, Pages 459-476

  Zellou, A M ^a   Ouenes, A ^a  

^a Reservoir Characterization Res/Con   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; FUZZY SETS; HYDRAULIC FRACTURING; NEURAL NETWORKS; TECTONICS;

TECTONIC FRACTURES;

PETROLEUM RESERVOIRS;

ARTIFICIAL NEURAL NETWORK; FRACTURED MEDIUM; FUZZY MATHEMATICS; HYDROCARBON RESERVOIR; RESERVOIR CHARACTERIZATION;

EID: 0035472345     PISSN: 01416421     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1747-5457.2001.tb00686.x     Document Type: Article

References (9)

1. Prediction of Mesaverde estimated ultimate recovery using structural curvature and neural network analysis, San Juan Basin, New Mexico, USA
2. Oil and gas resources of the San Juan Basin, New Mexico and Colorado
3. Detection of zones of abnormal strains in structures using gaussian curvature analysis
4. Quantitative fracture study - Sanish Pool McKenzie County, North Dakota
5. A new method to characterize fracture reservoirs: Application to infill drilling, paper SPE/DOE 27799
6. Fractured reservoir characterization and performance forecasting using geomechanics and artificial intelligence, paper SPE 30572
7. Reservoirs in fractured rock
8. Improved fractured reservoir characterization using neural network, geomechanics and 3D seismic, paper SPE 30722