A fractally fractional diffusion model of composite dual-porosity for multiple fractured horizontal wells with stimulated reservoir volume in tight gas reservoirs

被引:19
|
作者
Gu, Daihong [1 ]
Ding, Daoquan [2 ]
Gao, Zeli [2 ]
Tian, Leng [1 ]
Liu, Lu [3 ]
Xiao, Cong [4 ]
机构
[1] China Univ Petr, Coll Petr Engn, Beijing 102249, Peoples R China
[2] PetroChina Southwest Oil & Gas Field Co, Southern Sichuan Gas Dist, Lusshou 646001, Sichuan, Peoples R China
[3] PetroChina Dagang Oilfield Co, Res Inst Explorat & Dev, Tianjin 300280, Peoples R China
[4] Delft Univ Technol, Delft Inst Appl Math, Mekelweg 4, NL-2628 CD Delft, Netherlands
关键词
Fractal theory; Anomalous diffusion; Fractional calculus; Multiple fractured horizontal well; Stimulated reservoir volume; Tight gas reservoir; PRESSURE-TRANSIENT ANALYSIS; DARCY FLOW; HYDRAULIC FRACTURES; POROUS-MEDIA; PERFORMANCE; CONDUCTIVITY; TRANSPORT; NETWORKS; BEHAVIOR; SENSITIVITY;
D O I
10.1016/j.petrol.2018.10.011
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Based on fractal theory (FT) and fractional calculus (FC), a new fractally fractional diffusion model (FFDM) of composite dual-porosity has been developed to evaluate performance of multiple fractured horizontal wells (MFHWs) with stimulated reservoir volume (SRV) in tight gas reservoirs (TGRs). More specifically, FT is used to characterize the complex and heterogeneous fracture network (FN) both inside and outside of SRV, while anomalous behavior of diffusion processes both inside and outside of SRV is quantified by applying the temporal fractional derivatives. The FFDM is then solved by the Laplace transformation, line source function, the numerical discrete method, and superposition principle. The transient pressure responses are then inversely converted from Laplace domain into real time domain with the Stehfest algorithm, and the FFDM is also validated, and type curves are generated as well. Flow stages are subsequently identified together with analysis on characteristics of the type curves, especially the anomalous features different with those generated from the conventional Euclidean model. Sensitivity analyses of some related parameters have also been discussed as well. And the FFDM is then also matched with the real field well-testing data of a MFHW with SRV in a TGR. The proposed FFDM provides a new understanding of the performance of MFHWs with SRV in TGRs, which can be used to interpret the field pressure data more accurately and appropriately.
引用
收藏
页码:53 / 68
页数:16
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