Stochastic geological modeling constrained by well test data
FENG Guoqing1, HE Yujun1, LIU Honglin2, CHEN Yan3, ZHANG Ping1,4, XUE Fangfang5
1. State Key Laboratory of Reservoir Geology and Development Engineering, Southwest Petroleum University, Chendu, Sichuan 610500, China; 2. The Second Oil Production Plant, Xinjiang Oilfield Company, CNPC, Karamay, Xinjiang 834008, China; 3. The Second Oil Production Plant, Henan Oilfield Company, SINOPEC, Nanyang, Henan 473100, China; 4. Chongqing Fuling Shale Gas Exploration and Development Company, SINOPEC, Chongqing 408014, China; 5. Oil and Gas Technology Research Institute, Changqing Oilfield Company, CNPC, Xi'an, Shaanxi 710018, China
Abstract:Production performance data have seldom been involved in stochastic simulation; thus,it is difficult to describe such production performance as pressure and yield using the geologic model.We present a method for well test data constrained stochastic modeling.The initial model,which is built through stochastic simulation,is updated using simulated annealing algorithm until the model matches well test data.In this process,bottom hole pressure is calculated using analytic solution combined with numerical solution; this may save more than 90% of computation time.A case study shows that the final model has been improved and matches well test data.
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