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可控冲击波作用下的油井产能模型研究

Oil Well Productivity Model Under Controlled Shock Wave
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摘要 可控冲击波技术用于非常规油气藏的储层改造具有良好的致裂增透效果。基于冲击波在地层中的传播和作用机理,将压裂井周围地层划分为破碎区、裂缝区和未波及区,设定不同区域内流体的渗流模式,建立各区域的渗流模型,从而推导建立了压裂井产能模型。利用CMG数值模拟软件建立单井生产模型,以数值模拟结果验证所建立的产能模型。结果表明,产能模型的预测精度在95%以上。可控冲击波压裂井的增产幅度,随着破碎区半径长度、裂缝区半径长度、裂缝数量的增加而增加。在破碎区半径增大到0.25 m、裂缝区半径达到2.50 m、裂缝数量增加到6条以后,油井产量最终可以分别稳定在冲击波作用前的1.9倍、2.2倍、2.0倍。 The controllable shock wave technology is used in the reservoir reconstruction of unconventional oil and gas reservoirs,which has a good effect of cracking and anti-reflection.Based on the propagation and action mechanism of the shock wave in the formation,the area around the fractured well is divided into the cracked zone,the fractured zone and the unswept zone.The fluid flow mode in different zones is set up,and the flow model of each zone is established,thus the productivity model of the fractured well is deduced.CMG numerical simulation software is used to establish a single well production model,and the numerical simulation results are used to verify the established productivity model.The results show that the prediction accuracy of the productivity model is more than 95%.The yield increase of controlled shock wave fracturing well increases with the increase of cracking zone radius length,fracture zone radius length and fracture number.After the radius of the cracking zone increased to 0.25 m,the radius of fracture length reached 2.50 m and the number of fractures increased to 6,the oil well production finally stabilized at 1.9 times,2.2 times and 2.0 times of that before the shock wave action,respectively.
作者 赵景辉 杨万有 郑春峰 李昂 沈琼 ZHAO Jinghui;YANG Wanyou;ZHENG Chunfeng;LI Ang;SHEN Qiong(Engineering Technology Branch of CNOOC Energy Development Co.Ltd.,Tianjin 300452,China)
出处 《重庆科技学院学报(自然科学版)》 CAS 2021年第3期15-19,48,共6页 Journal of Chongqing University of Science and Technology:Natural Sciences Edition
基金 中海油能源发展股份有限公司科研项目“可控冲击波增透工艺技术及装备研究”(HFKJ-GJ2018-04)。
关键词 可控冲击波 储层渗流模式 数学模型 油井 产能预测 controllable shock wave reservoir seepage mode mathematical model oilwell productivity prediction
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