Neural network prediction of carbonate lithofacies from well logs, Big Bow and Sand Arroyo Creek fields, Southwest Kansas

Computers and Geosciences

Volumn 32, Issue 7, 2006, Pages 947-964

  Qi, Lianshuang ^a   Carr, Timothy R ^a  

^a UNIVERSITY OF KANSAS   (United States)

Author keywords

Cross sections; Lithofacies prediction; Neural network; St. Louis Limestone; Statistical analysis

Indexed keywords

INTERPOLATION; LIMESTONE; MATHEMATICAL MODELS; NEURAL NETWORKS; OPTIMIZATION; PROBABILITY; STATISTICAL METHODS; TEXTURES;

CROSS-SECTIONS; LITHOFACIES PREDICTION; WELL LOGS;

CARBONATES;

CARBONATES; INTERPOLATION; LIMESTONE; MATHEMATICAL MODELS; NEURAL NETWORKS; OPTIMIZATION; PROBABILITY; STATISTICAL METHODS; TEXTURES;

ARTIFICIAL NEURAL NETWORK; GEOSTATISTICS; LITHOFACIES; STATISTICAL ANALYSIS; WELL LOGGING;

KANSAS; NORTH AMERICA; UNITED STATES;

EID: 33745812788     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2005.10.020     Document Type: Article

References (29)

1. Abegg, F.E., 1991. Sedimentology and lithostratigraphy of the Upper Mississippian Ste. Genevieve and St. Louis Limestones, southwestern Kansas. In: Integrated Studies of Petroleum Reservoirs in the Mid-Continent, Midcontinent American Association of Petroleum Geologists Section Meeting, pp. 1-33.
2. Abegg, F.E., 1994. Lithostratigraphy of the Hugoton and Stevens members of the St. Louis Limestone and the Ste. Genevieve Limestone (Upper Mississippian), southwestern Kansas. In: Baars, D.L. (Compiler), Revision of Stratigraphic Nomenclature in Kansas. Kansas Geological Survey Bulletin, No. 230, pp. 39-66.
3. Abegg, F.E., Handford, C.R., 2001. Deflation origin of Mississippian carbonate eolianites of Southwestern Kansas. In: Abegg, F.E., Harris, P.M., Loope, D.B. (Eds.), Modern and Ancient Carbonate Eolianites: Sedimentology, Sequence Stratigraphy, and Diagenesis. Society of Sedimentary Geology (SEPM) Special Publication No. 71, pp. 183-203.
4. Abegg, F.E., Loope, D.B., Harris, P.M., 2001. Deposition and diagenesis of carbonate eolianites. In: Abegg, F.E., Harris, P.M., Loope, D.B. (Eds.), Modern and Ancient Carbonate Eolianites: Sedimentology, Sequence Stratigraphy, and Diagenesis. Society of Sedimentary Geology (SEPM) Special Publication No. 71, pp. 17-32.
5. Ali M., and Chawathe A. Using artificial intelligence to predict permeability from petrographic data. Computers & Geosciences 26 8 (2000) 915-925
6. Becker R.A., Chambers J.M., and Wilks A.R. The New S Language: a Programming Environment for Data Analysis and Graphics (1988), Wadsworth & Brooks/Cole, Pacific Grove, CA (702pp)
7. Bohling, G.C., Doveton, J.H., 2000. Kipling.xla: an Excel add-in for nonparameter regression and classification. Report, Kansas Geological Survey (69pp).
8. Bohling, G.C., Dubois, M.K., 2003. An integrated application of neural network and Markov chain techniques to prediction of lithofacies from well logs. Kansas Geological Survey Open-File Report, No. 2003-50 (6pp).
9. Carr T.R., and Lundgren C.E. Use of gamma ray spectral log to recognize exposure surfaces at the reservoir scale: Big Bow Field (St. Louis Limestone), Kansas. In: Dolson J.C., Hendricks M.L., and Wescott W.A. (Eds). Unconformity-Related Hydrocarbons in Sedimentary Sequences (1994), Rocky Mountain Association of Geologists, Denver, CO 79-88
10. Chambers J.M., and Hastie T.J. Statistical Models in S (1992), Wadsworth & Brooks/Cole, Pacific Grove, CA (608pp)
11. Dubois, M.K., Byrnes, A.P., Bohling, G.C., Seals, S.C., Doveton, J.H., 2003. Statistically based lithofacies predictions for 3-D reservoir modeling: an example from the Panoma (Council Grove) Field, Hugoton Embayment, Southwest Kansas. Kansas Geological Survey Open-File Report, No. 2003-30. 〈http://www.kgs.ku.edu/PRS/publication/2003/ofr2003-30/toc0.html〉.
12. Duda R.O., Hart P.E., and Stork D.G. Pattern Classification. second ed (2001), Wiley, New York (654pp)
13. Dunham R.J. Classification of carbonate rocks according to depositional texture. In: Ham W.E. (Ed). Classification of Carbonate Rocks vol. 1 (1962), American Association of Petroleum Geologists Memoir 108-121
14. Goebel E.D. Mississippian rocks of western Kansas. American Association of Petroleum Geologists Bulletin 52 (1968) 1732-1778
15. Handford C.R. Review of carbonate sand-belt deposition of ooid grainstones and application to Mississippian reservoir, Damme Field, southwestern Kansas. American Association of Petroleum Geologists Bulletin 72 (1988) 1184-1199
16. Handford, C.R., Francka, B.J., 1991. Mississippian carbonate-siliciclastic eolianites in southwestern Kansas. In: Lamando, A.J., Harris, P.M. (Eds.), Mixed Carbonate Siliciclastic Sequence. Society of Sedimentary Geology (SEPM) Core Workshop, No. 15, pp. 205-244.
17. Lane, H.R., Dekeyser, T.L., 1980. Paleogeography of the late Early Mississippian (Tournaisian) in the central and southwestern United States. In: Fouch, T.D., Magathan, E.R. (Eds.), Paleozoic Paleogeography of the West-Central United States, Rocky Mountain Paleogeography Symposium 1. Rocky Mountain Section-SEPM, Denver, CO, pp. 149-162.
18. Lee S.H., Kharghoria A., and Datta-Gupta A. Electrofacies characterization and permeability predictions in complex reservoirs. Society of Petroleum Engineers, Reservoir Evaluation and Engineering (2000) 237-248
19. Ligtenberg L.H., and Wansink A.G. Neural network prediction of permeability in the El Graia Formation, Ashtart Oilfield, offshore Tunisia. Journal of Petroleum Geology 24 4 (2001) 389-404
20. Mathisen T., Lee S.H., and Datta-Gupta A. Improved permeability estimates in carbonate reservoirs using electrofacies characterization: a case study of the North Robertson Unit, West Texas. Society of Petroleum Engineers, Reservoir Evaluation and Engineering (2003) 176-184
21. Morrison, E., Maroney, M., Noah, K., O'Dell, R., 2002. Depositional model and exploration potential in the St. Louis carbonates beneath the Hugoton Field of Kansas. Kansas Geological Survey Open-file Report, No. 2002-8. 〈http://www.kgs.ku.edu/PRS/Poster/2002/2002-8/index.html〉.
22. Qi, L.S., Carr, T.R., 2005a. Core description of the St. Louis Limestone, Big Bow and Sand Arroyo Creek fields, Southwest Kansas. Kansas Geological Survey Open-File Report, No. 2005-16. 〈http://www.kgs.ku.edu/PRS/publication/2005/OFR05_16/index.html〉.
23. Qi, L.S., Carr, T.R., 2005b. Lithofacies cross-sections of the St. Louis Limestone, Big Bow and Sand Arroyo Creek fields, Southwest Kansas. Kansas Geological Survey Open-File Report, No. 2005-14. 〈http://www.kgs.ku.edu/PRS/publication/2005/OFR05_14/index.html〉.
24. Oja E. Neural networks, principal components, and subspaces. International Journal of Neural Systems 1 1 (1989) 61-68
25. Saggaf M.M., and Nebrija E.L. A fuzzy logic approach for the estimation of facies from wire-line logs. American Association of Petroleum Geologists Bulletin 87 7 (2003) 1233-1240
26. Saggaf M.M., and Nebrija E.L. Estimation of missing logs by regularized neural networks. American Association of Petroleum Geologists Bulletin 87 8 (2003) 1377-1389
27. Trappe H., and Hellmich C. Using neural networks to predict porosity thickness from 3D seismic. First Break 18 9 (2000) 377-384
28. Venables W.N., and Ripley B.D. Modern Applied Statistics with S-plus. third ed (1999), Springer, New York (501pp)
29. Wong P.M., Henderson D.J., and Brooks L.J. Permeability determination using neural networks in the Ravva Field, Offshore India. Society of Petroleum Engineers, Reservoir Evaluation and Engineering (1998) 99-104