Abstract
Low gas-saturation reservoirs are gas bearing intervals whose gas saturation is less than 47%. They are common in the Quaternary of the Sanhu area in the Qaidam Basin. Due to the complex genesis mechanisms and special geological characteristics, the logging curves of low gas-saturation reservoirs are characterized by ambiguity and diversity, namely without significant log response characteristics. Therefore, it is particularly difficult to identify the low gas-saturation reservoirs in the study area. In addition, the traditional methods such as using the relations among lithology, electrical property, physical property and gas bearing property, as well as their threshold values, can not effectively identify low gassaturation reservoirs. To solve this problem, we adopt the decision tree, support vector machine and rough set methods to establish a predictive model of low gas-saturation reservoirs, which is capable of classifying a mass of multi-dimensional and fuzzy data. According to the transparency of learning processes and the understandability of learning results, the predictive model was also revised by absorbing the actual reservoir characteristics. Practical applications indicate that the predictive model is effective in identifying low gas-saturation reservoirs in the study area.
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References
Chen D, Hamid S, Dix M, et al. Cooperative optimization-based dimensionality reduction for advanced data mining and visualization. SPE117765. 2008
Cheng F Q, Jin Q, Lin H X, et al. Controlling effect of reservoir-cap combination quality on richment grade of biogas in the Sanhu area of the Qaidam Basin. Chinese Journal of Geology. 2008. 43(2): 333–346 (in Chinese)
Cortes C and Vapnik V. Support vector networks. Machine Learning. 1995. 20(3): 273–297
Dang Y Q, Zhang D W, Xu Z Y, et al. Sedimentary facies and biogenic gas pool of the Quaternary of the Sanhu area in Qaidam Basin. Journal of Palaeogeography. 2004. 6(1): 110–118 (in Chinese)
Guo Z Q, Li B L, Zhang L, et al. Discussion on minimum closure for low-amplitude structural nature gas pool: A case study from the Sanhu area in the Qaidam Basin. Chinese Journal of Geology. 2008. 43(1): 34–49 (in Chinese)
Han J W and Micheline K. Data Mining Concepts and Techniques (Second Edition). Beijing: China Machine Press. 2007. 3 (in Chinese)
Ian H and Eibe F. Data Mining Practical Machine Learning Tools and Techniques (Second Edition). Beijing: China Machine Press. 2006. 2 (in Chinese)
Platt J C. Fast training of support vector machines using sequential minimal optimization. Advances in Kernel Methods: Support Vector Learning. Cambridge, MA, USA: MIT Press. 1999. 185–208
Quinlan J R. Induction of decision trees. Machine Learning. 1986. 1(1): 81–106
Schölkopf B, Smola A J, Williamson R C, et al. New support vector algorithms. Neural Computation. 2000. 12(5): 1207–1245
Sheremetov L, Cosultchi A, Batyrshin I, et al. New insights and applications of soft computing on analysis of water production from oil reservoirs. SPE108702. 2007
Shi G R. Application of support vector machine to multi-geologicalfactor analysis. Acta Petrolei Sinica. 2008. 29(2): 195–198 (in Chinese)
Wang J P, Peng S M, Guan Z Q, et al. Mudstone caprock’s sealing mechanism of biogenetic gas reservoir of Quaternary in Qaidam Basin. Journal of Southwest Petroleum University. 2007. 29(6): 63–67 (in Chinese)
Wei G Q, Liu D L, Zhang Y, et al. Formation mechanism, distribution feature and exploration prospect of the Quaternary biogenic gas in Qaidam Basin, NW China. Petroleum Exploration and Development. 2005. 32(4): 84–89 (in Chinese)
Zhao W W, Zha M and Wu K Y. Relationship between unconformity and hydrocarbon accumulation in the eastern Qaidam Basin. Acta Geologica Sinica. 2008. 82(2): 247–263 (in Chinese)
Zhu H Y, Ma L N, Chen J J, et al. Research on characteristics of reservoir bed in Quaternary of Sebei-1 Gas Field. Natural Gas Industry. 2006. 26(4): 29–31 (in Chinese)
Zhu X M and Kang A. Characteristics and evaluation of the Quaternary reservoirs in Qaidam Basin. Natural Gas Industry. 2005. 25(3): 29–31 (in Chinese)
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Li, X., Li, H., Zhou, J. et al. Identification of the Quaternary low gas-saturation reservoirs in the Sanhu area of the Qaidam Basin, China. Pet. Sci. 8, 49–54 (2011). https://doi.org/10.1007/s12182-011-0114-4
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DOI: https://doi.org/10.1007/s12182-011-0114-4