油藏数值反演的数学模型

Mathematical Model for Reservoir Numerical Inverse

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摘要利用已知的压力和钻井数据,根据数值反演理论得到最大可能分布,并通过统计分析方法得到最大可能分布的可信度,最终得到渗透率和孔隙度的分布,为油藏数值模拟提供合理的油藏特性参数,从而为制定油藏开发方案提供有效的科学依据.

作者晏忠良李越

出处《中国科学技术大学学报》 CAS CSCD 北大核心 2004年第z1期150-154,共5页 JUSTC

关键词数值反演高斯牛顿法最大可能分布

参考文献7

1[1]Deutsch C Annealing Techniques Applied to Reservoir Model and the integration of Geological Engineering ( Well - Test) Data[ D]. PhD Dissertation Stanford University, 1992.
2[2]Sagar R K, Kelkar M G, Thompson L G. Reservoir Description by integrating Well - Test Data and Spatial Statistics [ J ] SPE Formation Evaluation 1995,12:267 ～ 274.
3[3]Holden L et al.: Use of Well Test Data in Stochastic Reservoir Modeling [ A ] Paper SPE 30951, presented at the 1995 SPE Annual Technical Conference and Exhibition [ C ] Dallas, Oct,22-25.
4[4]Alabert F G. Constraining Description of Randomly Heterogeneous Reservoirs to Pressure Test Data: A Monte Carlo Study [ A ] paper SPE 19600, presented at the 1989 SPE Annual Technical Conference and Exhibition, San Antonio, Oct, 8 - 11.
5[5]Huang Xu-ri. Data Driven Description of Reservoir Petrophysical Properties [ D ]. U. Of Tulsa, 1995.
6[6]Data - Gupta A, Vasco D W. And Long, J.C. S. Sensitivity and Spatial Resolution of Transient Pressure and Tracer Data For Heterogeneity Characterization [ A ]. paper SPE 30589, present at the 1995 SPE Annual Technical Conference and Exhibition, Dallas, Oct,22 - 25.
7[7]Vasco D W, Data - Gupta A,Long J C S. Integrating Field Production History in Stochastic Reservoir Characterization [ A ]. paper SPE 36567, presented at the 1996 SPE Annual Technical Conference and Exhibition, Denver,Oct. 6 - 9.

中国科学技术大学学报

2004年第z1期

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