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基于动态测试资料的渤海稠油油田剩余油挖潜技术 被引量:6

Potential tapping technology of remaining oil in Bohai heavy oil field based on dynamic test data
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摘要 渤海A油田平面矛盾加剧,注水受效较差,亟需明确油田平面注水波及状况和平面剩余油分布。利用示踪剂测试资料,建立质点运移方程,模拟示踪剂在储层中的动态流动过程,并根据流线的疏密描述平面的波及程度,定量给出平面波及系数,量化剩余油储量,同时结合数值模拟方法,通过示踪剂产出浓度拟合进一步修正数值模型,提高剩余油研究精度,指导油田剩余油精细挖潜。经渤海A油田4口调整井实例应用,2017年投产初期平均产油量53 m^(3)/d,预计累产油可达26.40×10^(4) m^(3),取得了较好的挖潜效果。该研究成果为渤海相似稠油油田的剩余油挖潜研究提供了新的思路。 Due to the aggravation of plane contradiction and poor water injection effect of Bohai A oilfield,it is urgent to clarify the water injection sweep status and the remaining oil distribution in the plane.Based on the tracer test data,the particle migration equation is established to simulate the dynamic flow process of tracer in the reservoir.According to the density of streamline,the plane sweep degree is described,and the plane sweep coefficient is given quantitatively,so as to quantify the remaining oil reserves.At the same time,combined with the numerical simulation method,the numerical model is further modified by tracer production concentration,so as to improve the accuracy of remaining oil research and guide the fine tapping of the remaining oil potential of the oilfield.By applying in 4 adjustment wells in Bohai A Oilfield,the average oil production at the initial stage in 2017 was 53 m^(3)/d,and the cumulative oil production is expected to reach 26.40×10^(4) m^(3),which has achieved a good potential tapping effect.The research results provide a new idea for the study of remaining oil potential tapping of similar heavy oil fields with Bohai sea.
作者 王立垒 刘述忍 张俊廷 陈存良 瞿朝朝 WANG Lilei;LIU Shuren;ZHANG Junting;CHEN Cunliang;QU Zhaozhao(Bohai Oil Research Institute,Tianjin Branch,CNOOC(China)Co.,Ltd.,Tianjin 300459,China;Well Testing Branch,CNPC Bohai Drilling Engineering Company Limited,Langfang,Hebei 065007,China)
出处 《油气井测试》 2021年第4期37-43,共7页 Well Testing
基金 国家科技重大专项课题“渤海油田加密调整及提高采收率油藏工程技术示范”(2016ZX05058001)。
关键词 渤海油田 稠油油藏 示踪剂 剩余油 精细挖潜 动态监测 Bohai Oilfield heavy oil reservoir tracer remaining oil fine tapping dynamic monitoring
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