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作 者:李学慧[1,2,3]
机构地区:[1]中国科学院地质与地球物理研究所,北京100029 [2]中国科学院研究生院,北京100049 [3]江苏油田分公司规划计划处,江苏扬州225009
出 处:《中国石油大学学报(自然科学版)》2008年第5期1-6,共6页Journal of China University of Petroleum(Edition of Natural Science)
基 金:国家'十五'科技攻关项目(2001BA605A09-11)
摘 要:利用交会图法、人工神经网络法、地质综合法等对苏北盆地低阻油层进行了定性和定量识别,以油砂体为最小作图单元,并突出构造的影响,对苏北盆地低阻油层的分布规律进行了研究。结果表明,苏北盆地低阻油层主要集中于高邮凹陷的沙瓦构造带和金湖凹陷的卞东油田和闵桥油田中的阜三段,尤其是集中在E1f2^1-3-E1f3^1-6层。苏北盆地低电阻率油层主要分布在三角洲前缘的席状砂微相及正韵律的上部和反韵律下部的薄层砂之中。根据此方法识别出苏北盆地新的含油层,扩大了含油层的厚度及面积,增加了原油产量,取得了较好的经济效益。The low resistivity reservoir in Subei Basin was qualitative and quantitative identified by using intersection grap method, artificial nerve network method and integration of geology method. And the distribution of the low resistivity reservoir was studied on the basis of taking the reservoir sand as the minimum drafting unit and emphasizing the structural factors. The results indicate that the low resistivity reservoir mainly distributed in Shawa structure belt of Gaoyou depression, and the Biandong Oilfield and Minqiao Oilfield of Jinhu depression in Subei Basin. Especially the reservoir distributed in layers of E1f2^1-3-E1f3^1-6. The low resistivity reservoir of Subei Basin mainly distributed in sand sheet miscrofaeies of delta front, top thin sand of positive rhythm and lower thin sand of inverted rhythm. On the basis of the founded reservoir, new reservoirs are identified, the thickness and area of reservoir are enlarged, and the oil region is increased. The outcome of the research purchases preferable economic benefit for the Subei Basin.
关 键 词:苏北盆地 低电阻油层 人工神经网络法 地质综合法
分 类 号:TE122.24[石油与天然气工程—油气勘探]
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