Impacts of proppant distribution on development of tight oil reservoirs with threshold pressure gradient
作者机构:State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective DevelopmentBeijing102206China School of Civil and Resource EngineeringUniversity of Science and Technology BeijingBeijing100083China
出 版 物:《Petroleum Science》 (石油科学(英文版))
年 卷 期:2024年第21卷第1期
页 面:445-457页
核心收录:
学科分类:0820[工学-石油与天然气工程] 08[工学] 082002[工学-油气田开发工程]
主 题:Proppant distribution Tight oil reservoir Multi-stage fractured horizontal well Threshold pressure gradient Moving boundary
摘 要:Field evidence indicates that proppant distribution and threshold pressure gradient have great impacts on well *** at the development of unconventional oil reservoirs in Triassic Chang-7 Unit,Ordos Basin of China,we presented an integrated workflow to investigate how(1)proppant placement in induced fracture and(2)non-linear flow in reservoir matrix would affect well productivity and fluid flow in the *** with our research before(Yue et al.,2020),here we extended this study into the development of multi-stage fractured horizontal wells(MFHWs)with large-scale complicated fracture *** integrated workflow is based on the finite element method and consists of simulation models for proppant-laden fluid flow,fracture flow,and non-linear seepage flow,*** results indicate that the distribution of proppant inside the induced cracks significantly affects the productivity of the *** we assign an idealized proppant distribution instead of the real distribution,there will be an overestimation of 44.98%in daily oil rate and 30.63%in cumulative oil production after continuous development of 1000 ***,threshold pressure gradient(TPG)also significantly affects the well performance in tight oil *** we simply apply linear Darcy’s law to the reservoir matrix,the overall cumulative oil production can be overrated by 77%after 1000 days of *** general,this research provides new insights into the development of tight oil reservoirs with TPG and meanwhile reveals the significance of proppant distribution and non-linear fluid flow in the production scenario design.