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厚层孔隙型碳酸盐岩油藏注采优化研究 被引量:1

The optimization of injection-production for pore-type carbonate reservoir with giant thickness
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摘要 碳酸盐岩油藏在世界己发现油藏中占有重要位置,国内外目前对厚层孔隙型碳酸盐岩储层的注水开发研究较少。本文以中东地区典型厚层孔隙型碳酸盐岩B油田为例,在考虑工程技术条件与经济成本的前提下,利用油藏工程与数值模拟相结合的方法,对此类油田的合理注水方式与注采层位等关键问题展开研究,同时,对注水时机、合理地层压力水平以及注采比等关键参数进行优化。研究表明:(1)厚层碳酸盐岩储层采用底注顶采的开发方式更为合理;(2)合理地层压力水平对于厚层碳酸盐岩油藏的注水开发效果至关重要,地层压力维持在80%~85%注水开发效果最好;(3)对于边底水能量弱的碳酸盐岩油藏,注采比定为1.5左右开发效果最好。研究成果对实现同类油田的高效开发具有良好的指导意义。 Carbonate reservoirs occupy an important position among the reservoirs that have been discovered in the world.At present,there are few studies on the development of water injection for pore-type carbonate reservoir with giant thickness.In this paper,taking the typical carbonate oilfield in the Middle East as an example,considering the engineering technical conditions and economic costs,by combination of reservoir engineering and numerical simulation,research on key issues such as injection-production horizons has been studied,and at the same time,the optimization of injection-production key parameters such as water injection timing,reasonable formation pressure levels,and injection-production ratios have been defined.The research shows that,(1)The development by bottom injection and top production is more reasonable in pore-type carbonate reservoir with giant thickness.(2)The reasonable formation pressure level is very important,and the formation pressure maintained at 80%~85%has the best effect.(3)For carbonate reservoirs with weak natural energy,the injection-production ratio should be set to about 1.5 to have the best development effect.The research results have good guiding significance for similar oilfields.
作者 康博韬 皮建 李长勇 KANG Botao;PI Jian;LI Changyong(CNOOC Research Institute Co.,Ltd.,Beijing 100028,China;China University of Geoscience(Beijing),Beijing 100083,China;CNOOC International,Ltd.,Beijing 100027,China)
出处 《石油化工应用》 CAS 2020年第9期60-66,共7页 Petrochemical Industry Application
关键词 碳酸盐岩 巨厚储层 注水开发 注采优化 carbonate reservoir giant thickness water injection injection production optimization
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