首页|Study of inter-well interference in shale gas reservoirs by a robust production data analysis method based on deconvolution

Study of inter-well interference in shale gas reservoirs by a robust production data analysis method based on deconvolution

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In order to overcome the defects that the analysis of multi-well typical curves of shale gas reservoirs is rarely applied to engineering,this study proposes a robust production data analysis method based on deconvolution,which is used for multi-well inter-well interference research.In this study,a multi-well conceptual trilinear seepage model for multi-stage fractured horizontal wells was established,and its Laplace solutions under two different outer boundary conditions were obtained.Then,an improved pressure deconvolution algorithm was used to normalize the scattered production data.Furthermore,the typical curve fitting was carried out using the production data and the seepage model solution.Finally,some reservoir parameters and fracturing parameters were interpreted,and the intensity of inter-well interference was compared.The effectiveness of the method was verified by analyzing the production dynamic data of six shale gas wells in Duvernay area.The results showed that the fitting effect of typical curves was greatly improved due to the mutual restriction between deconvolution calculation parameter debugging and seepage model parameter debugging.Besides,by using the morphological characteristics of the log-log typical curves and the time corresponding to the intersection point of the log-log typical curves of two models under different outer boundary conditions,the strength of the interference be-tween wells on the same well platform was well judged.This work can provide a reference for the optimization of well spacing and hydraulic fracturing measures for shale gas wells.

Shale gasInter-well interferenceDeconvolutionProduction data analysisTypical curvesMulti-stage fractured horizontal well

Wen-Chao Liu、Cheng-Cheng Qiao、Ping Wang、Wen-Song Huang、Xiang-Wen Kong、Yu-Ping Sun、He-Dong Sun、Yue-Peng Jia

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School of Civil and Resource Engineering,University of Science and Technology Beijing,Beijing 100083,P.R.China

PetroChina Research Institute of Petroleum Exploration and Development,Beijing,100083,PR China

2024

石油科学(英文版)
中国石油大学(北京)

石油科学(英文版)

EI
影响因子:0.88
ISSN:1672-5107
年,卷(期):2024.21(4)