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作 者:辛治国[1]
机构地区:[1]中国地质大学(北京)能源学院
出 处:《油气地质与采收率》2007年第6期88-90,共3页Petroleum Geology and Recovery Efficiency
基 金:国家科技攻关项目"基于测井资料的人工智能岩性识别与预测技术研究"(2003BA613A10)
摘 要:选择6个油层水淹状况评价参数,构建模糊评价矩阵,确定各参数权重系数,利用加权平均的算法,计算出油层水淹状况综合评价指数,并从驱油效率评价、现场实验评价和岩心观察评价3个方面对油层水淹状况进行了二级综合评价,计算出每一块样品的水淹模糊评判参数(bi)。评价结果表明,在类似垦西油田垦71块的砂岩非稠油油藏中,bi≥0.6可判断为强水洗;0.6>bi≥0.4可判断为水洗;0.4>bi≥0.2可判断为见水;bi<0.2可判断为弱见水。复合正韵律油层纵向水洗具有分段性,尤其是夹层上方油层水淹强度远低于韵律层中下部,可以利用水平井进一步挖潜剩余油。The comprehensive evaluation index of watered out behavior of reservoirs was established by choosing 6 parameters for characterizing watered out behavior,then building the fuzzy matrix,determining the weighting factor of parameters and using the algorithm of weighted average. The secondary synthetic evaluation was made based on oil efficiency evaluation, field experiment evaluation and core observation, then the judgment parameters (bi) of each sample was determined. The result shows that the reservoir is strong watered out when bi≥0. 6, moderately watered out when 0. 6 > bi≥0.4, water breakthrough when 0.4 > bi≥0. 2, weak water breakthrough when bi <0. 2. It is applicable to sandstone non-heavy oil reservoir similar to Ken71 block in Gudao Oilfield. The water washing in complex positive rhythm reservoirs exhibits different behavior vertically. The flooding degree in upper reservoir is much lower than that in the middle and lower parts.
关 键 词:模糊类分析法 水淹状况 密闭取心 模糊数学 综合评价
分 类 号:TE319[石油与天然气工程—油气田开发工程]
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