Permeability estimation using a hybrid genetic programming and fuzzy/ neural inference approach

Proceedings - SPE Annual Technical Conference and Exhibition

Volumn , Issue , 2005, Pages 139-145

  Xie, D ^a   Wilkinson, D ^a   Yu, T ^a  

^a Chevron ETC

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY SETS; LITHOLOGY; MATHEMATICAL MODELS; PROGRAMMING THEORY; ROCKS; SEISMIC PROSPECTING;

CORE PERMEABILITY; GENETIC PROGRAMMING; PERMEABILITY ESTIMATION; RESERVOIR MODELING;

MECHANICAL PERMEABILITY;

EID: 33644791286     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2523/95167-ms     Document Type: Conference Paper

References (10)

1. Mathisen T., S. Lee, and A. Datta-Gupta, 2001, Improved permeability estimates in carbonate reservoirs using electrofacies characterization: a case study of the North Robertson Unit, West Texas, SPE 70034 paper at the 2001 SPE Annual Technical Conference and Exhibition.
2. Lee S., A. Kharghoria, and A. Datta-Grpta, 2002, Electrofacies characterization and permeability predictions in complex reservoirs, SPE Reservoir Evaluation and Engineering.
3. Suryanarayana K. and K. Al Amari, 2003, Permeability and RRT estimation from conventional logs in a Middle East carbonate reservoir using neural network approach, SPE 81473 paper at the 2003 SPE Annual Technical Conference and Exhibition.
4. Badarinadh V., K. Suryanarayana and F. Youssef, 2002, Log-derived permeability in a heterogeneous carbonate reservoir of Middle East, Abu Dhabi, using artificial neural network, SPE 74345 paper at the 2002 SPE Annual Technical Conference and Exhibition
5. Fahad A. and S. Holditch, 2000, Permeability estimation using hydraulic flow units in a Central Arabia reservoir, SPE 63254 paper at the 2000 SPE Annual Technical Conference and Exhibition
6. Quinlan Ross, 1993, C4.5, Programming for machine learning, Morgan Kaufmann Publishers.
7. Koza, J., 1992 Genetic Programming: On the programming of computers by means of Natural Selection. Cambridge, MA: MIT Press.
8. Yu T., D. Wilkinson, and D. Xie, 2003, A hybridapproach for reservoir characterization: Genetic Programming theory and Practice, edited by R. Riolo and B. Worzel, Kluwer Academic Publishers.
9. Jang, J-S R., 1993, ANFIS: Adaptive-Network-Based fuzzy inference system, IEEE Transactions on Systems, Man and Cybernetics 12 (3): 665-685.
10. Authors acknowledge Chevron for granting permission for the work to be published. The discussions with Sundar Sundararaman, Dave Larue, and Feng Jian have been very useful.