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视均质潜山油藏不规则边界产能模型及影响因素
引用本文:王瑞娟,徐铜浩,龚郁峰. 视均质潜山油藏不规则边界产能模型及影响因素[J]. 石油化工应用, 2021, 0(3): 20-27
作者姓名:王瑞娟  徐铜浩  龚郁峰
作者单位:成都理工大学能源学院
基金项目:页岩储层纳米孔隙结构表征及渗流机理研究,项目编号:5167040659。
摘    要:胜利油田视均质潜山油藏储量丰富,储集类型多样,呈现"低孔低渗"的物性特征,且具有大量的未动用或探明未开发储量,但是由于储集物性差异大,在多种作用的共同影响下有效储层难以形成,影响储层有效性,因此亟需找出影响储层品质、油气成藏的主控因素.本文在油藏渗流机理的基础上,通过开展视均质潜山油藏产能模型测试,建立视均质潜山油藏不...

关 键 词:潜山油藏  视均质  产能预测模型  产能影响因素

Irregular boundary productivity model and influencing factors of apparently homogeneous buried hill reservoir
WANG Ruijuan,XU Tonghao,GONG Yufeng. Irregular boundary productivity model and influencing factors of apparently homogeneous buried hill reservoir[J]. Petrochemical Industry Application, 2021, 0(3): 20-27
Authors:WANG Ruijuan  XU Tonghao  GONG Yufeng
Affiliation:(Chengdu University of Technology,Chengdu Sichuan 610059,China)
Abstract:Shengli oilfield has abundant reserves and diverse storage types,showing the characteristics of"low porosity and low permeability",and has a large number of unused or proven undeveloped reserves.However,due to the large differences in the physical properties of the reserves.It is difficult to form effective reservoirs under the combined influence of multiple effects,which affects the effectiveness of the reservoirs.Therefore,it is urgent to find out the main controlling factors that affect reservoir quality and hydrocarbon accumulation.Based on the reservoir seepage mechanism,this paper establishes a productivity prediction model for the apparently homogeneous buried-hill reservoir and analyzes the productivity influencing factors through the testing of the apparently homogeneous buried-hill reservoir productivity model.The research shows that the wellbore storage coefficient and complex boundary,the shape and skin coefficient have a great influence on the productivity of vertical wells in apparently homogeneous buried-hill reservoirs.The research content in this paper has certain guiding significance for the development of unused reservoirs in apparently homogeneous buried-hill reservoirs.
Keywords:buried hill reservoir  apparent homogeneity  productivity prediction model  productivity influencing factors
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