Superiorities of support vector machine in fracture prediction and gassiness evaluation

Petroleum Exploration and Development

Volumn 35, Issue 5, 2008, Pages 588-594

  SHI, Guang ren ^a  

^a RESEARCH INSTITUTE OF PETROLEUM EXPLORATION AND DEVELOPMENT   (China)

Author keywords

artificial neural network; fracture prediction; gassiness evaluation; method comparison; multiple regression analysis; support vector machine

Indexed keywords

BACKPROPAGATION; FORECASTING; FRACTURE; IMAGE CLASSIFICATION; IMAGE RETRIEVAL; LEARNING SYSTEMS; METAL ANALYSIS; NETWORK PROTOCOLS; NEURAL NETWORKS; OIL FIELDS; REGRESSION ANALYSIS; SENSOR NETWORKS; VECTORS;

ALGORITHM COMPARISON; ARTIFICIAL NEURAL NETWORK; FRACTURE PREDICTION; GASSINESS EVALUATION; MULTIPLE REGRESSION ANALYSIS; SUPPORT VECTOR MACHINE;

SUPPORT VECTOR MACHINES;

EID: 54049141322     PISSN: 18763804     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1876-3804(09)60091-4     Document Type: Article

References (27)

1. YUE Y.-x., and LIU W.-l. Prediction of polymer flooding parameters by using the support vector machine. Petroleum Exploration and Development 31 3 (2004) 122-124
2. YU D.-g., Sun J.-m., Wang H.-z., et al. A new method for logging lithology identification-SVM. Petroleum Geology & Oilfield Development in Daqing 24 5 (2005) 93-95
3. YANG B., KUANG L.-c., SUN Z.-c., et al. On support vector machines method to identify oil & gas zone with logging and mudlog information. Well Logging Technology 29 6 (2005) 511-514
4. YU J.-g., HAN W.-g., and LIU L.-h. Frequency-divided inversion and application. Oil Geophysical Prospecting 41 2 (2006) 193-197
5. YUAN S.-b., JIANG H.-y., BAO B.-s., et al. Effect prediction of in-situ combustion based on support vector machine. Petroleum Exploration and Development 34 1 (2007) 104-107
6. LIU D.-j., RAN Q.-y., and WANG B. Application of support vector machine in logging analysis of Qijia sag in Daqing Oilfield. Geophysical Prospecting for Petroleum 46 2 (2007) 156-161
7. SHI G.-r. Application of support vector machine to multi-geological-factors analysis. Acta Petrolei Sinica 29 2 (2008) 195-198
8. SHEN H.-l., and GAO S.-y. Research on fracture identification based on BP neural network. Fault-Block Oil and Gas Field 14 2 (2007) 60-62
9. CHEN K.-y., ZHANG S.-n., DING X.-q., et al. Gassiness evaluation of gas-bearing layers in tight sandstones. Journal of Oil and Gas Technology 28 4 (2006) 65-68
10. SHI G.-r. New Computer Application Technologies in Earth Sciences (1999), Petroleum Industry Press, Beijing 8-21 47-61.
11. SHI G.-r., ZHANG G.-y., and SHI X.-f. Optimization of exploration prospects based on multi-geological factors-comparison of methods between artificial neural network and multiple regression analysis. Acta Petrolei Sinica 23 5 (2002) 19-22
12. SHI G.-r., ZHOU X.-x., ZHANG G.-y., et al. The use of artificial neural network analysis and multiple regression for trap quality evaluation: A case study of the Northern Kuqa Depression of Tarim Basin in western China. Marine and Petroleum Geology 21 3 (2004) 411-420
13. Vapnik V.N. In: ZHANG X.-g. (Ed). The Nature of Statistical Learning Theory (2000), Tsinhua University Press, Beijing 85-205
14. CRISTIANINI N., and SHAWE-TAYLOR J. In: LI G.-z., WANG M., and ZENG H.-j. (Eds). An Introduction to Support Vector Machines (2004), Publishing House of Electronics Industry, Beijing 8-149
15. SCHÖLKOPF B., SMOLA A.J., WILLIAMSON R.C., et al. New support vector algorithms. Neural Computation 12 5 (2000) 1207-1245
16. HU R. Support vector machine for multi-output regression. Journal of East China Jiaotong University 24 1 (2007) 129-132
17. LI G., MENG Y.-f., DONG Z.-x., et al. Mechanisms and significance of microfractures generated by microwave heating in sandstone reservoirs. Petroleum Exploration and Development 34 1 (2007) 93-97
18. SUI W.-b., and ZHANG S.-c. Optimization design of integral fracturing parameters for low-permeability highly faulted reservoirs. Petroleum Exploration and Development 34 1 (2007) 98-103
19. HAO M.-q., HOU J.-f., HU Y.-l., et al. Scale effects of anisotropy in fractured low permeability reservoirs. Petroleum Exploration and Development 34 6 (2007) 724-728
20. MING H.-h., JIN Z.-k., LI Q.-z., et al. Sedimentary facies of deep sequences of Anpeng Oilfield in Biyang Depression and its control over oil-gas distribution. Journal of Earth Sciences and Environment 27 2 (2005) 48-51
21. WANG G.-p., GUO Q.-j., ZHAO Q., et al. Effective fracturing cut-off values of Extremely-low permeability reservoir-take the Anpeng Oilfield of Biyang Depression as an example. Journal of Southwest Petroleum University 28 4 (2006) 40-43
22. KANG Y.-l., and LUO P.-y. Current status and prospect of key techniques for exploration and production of tight sandstone gas reservoirs in China. Petroleum Exploration and Development 34 2 (2007) 239-245
23. XIA M.-j., DAI J.-x., ZOU C.-n., et al. Caledonian karst palaeogeomorphology and the forming condition of gas pool, southern Ordos Basin. Petroleum Exploration and Development 34 3 (2007) 291-298 315.
24. WU F.-l., ZHAO J.-z., YAN S.-k., et al. Geological characteristics and exploration prospect of Upper Paleozoic reservoirs in Yanchang area, Ordos Basin. Petroleum Exploration and Development 34 4 (2007) 401-405
25. YUAN Z.-x., CHEN H.-d., and CHEN Y.-y. Characteristics of gas accumulation with high productivity of Upper Paleozoic in the Tabamiao area, Ordos Basin, China. Journal of Chengdu University of Technology: (Sci & Technol Ed) 32 6 (2005) 604-608
26. ZHOU W., ZHANG S.-n., LI L., et al. The character of Upper Paleozoic reservoir fractures and the evaluation of their distribution in Tabamiao area of Ordos Basin. Journal of Mineralogy and Petrology 26 4 (2006) 54-61
27. LUO Y., MOU Z.-h., ZHU H.-q., et al. Gas reservoir recognize and prediction of Tabamiao Region in north Ordos Basin. Petroleum Exploration and Development 30 4 (2003) 61-64