Research on Contribution Rate of Commingled Multi-layer Tight Gas Reservoir in Sulige Gas Field
Sulige gas field is a typical tight sandstone gas reservoir in China, the main production interval was identified in the Shihezi formation and Shanxi formation, and the development wells are produced by commingled method. Therefore, it is necessary to obtain the reliable contribution rate of different formation by carrying out the gas production test before studying the contribution rate of different formation and dynamic performance. However, most gas wells in tight gas reservoir rarely perform production logging test from the term of cost control. This brings a great challenge to effectively understand the contribution rate of different formation, and the contribution rate with time also causes great uncertainties in estimating the utilization extent of different formation. In order to solve this problem, it is necessary to study the factors which influence the contribution rate and its change of different formation under commingling conditions and lay the foundation for further understanding dynamics performance for different formation. Before studying the contribution rate of different formation against formation coefficient, storage coefficient, fracture length, and fracture conductivity, a conceptual model of single well is established based on the reservoir characteristics and test data of the Sulige gas field. The main factors which influence the contribution rate were determined by gray correlation method, also established a forecasting model of the contribution rate of different formation by multiple regression method. The results show that formation coefficient, storage coefficient affect the contribution rate greatly, and the half-length of the fracture and fracture conductivity only have impact on the contribution rate at the initial stage. Compared with real contribution rate of different formation, 80% of the forecasting results are in good agreement with the test results, which basically satisfy the engineering requirements. The main contributions of this paper include: (1) for commingled multi-layer tight gas reservoir, theoretically analyzing the main factors which influence the contribution rate of different formation and the dynamic law of the contribution rate of different formation; (2) establishing the forecasting model of the contribution rate of different formation. Conclusions obtained from this paper are of great significance to understand the dynamic performance of commingled multi-layer tight gas reservoir.
KeywordsContribution rate Factor Gray correlation method Commingled multi-layer tight gas reservoir Sulige gas field
This paper is supported by the fund of China national science and technology major project named development of large low permeability lithologic reservoir in Ordos Basin (No. 2016ZX05050).
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