Stochastic computational modeling of reservoir compaction due to fluid withdrawal

被引:0
|
作者
Frias, Diego G. [1 ]
Murad, Marcio A. [2 ]
Pereira, Felipe [3 ]
机构
[1] Univ Estadual Santa Cruz, BR-45650000 Ilheus, BA, Brazil
[2] Lab Nacl Comp Cient, BR-25651070 Petropolis, RJ, Brazil
[3] Univ Estado Rio de Janeiro, Inst Politecn, BR-28601970 Nova Friburgo, RJ, Brazil
来源
COMPUTATIONAL & APPLIED MATHEMATICS | 2002年 / 21卷 / 02期
关键词
reservoir compaction; surface subsidence; poroelasticity; finite elements; heterogeneity; stochastic modeling; random permeability; Monte Carlo simulations;
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The compaction of poroelastic heterogeneous reservoirs during oil production in the primary stage is investigated within the framework of stochastic computational modeling. The impact of reservoir heterogeneity upon the magnitude of the stresses induced in the solid matrix due to reservoir consolidation and surface subsidence is analyzed. By performing an ensemble average over realizations of a log normal distribution of the permeability coefficient, we show that for a fixed discharge prescribed on the boundary, the presence of geological heterogeneity leads to an increase in the effective stresses in the rock matrix and to an earlier appearance of the plastification zone. A classical consolidation problem of a weak reservoir due to oil withdrawal is considered. Numerical results illustrate the effects of the variability in the absolute permeability and uncertainty upon the geomechanical predictions of the evolution of the Mohr-Coulomb function.
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页码:607 / 629
页数:23
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