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作 者:王昌勇[1] 郑荣才[1] 李业会[2] 陈守春[3] 李瑰丽[3]
机构地区:[1]成都理工大学'油气藏地质及开发工程'国家重点实验室,610059 [2]冀东油田勘探开发研究院,河北唐山063004 [3]中国石油西南油气田分公司重庆气矿,400021
出 处:《成都理工大学学报(自然科学版)》2009年第2期159-164,共6页Journal of Chengdu University of Technology: Science & Technology Edition
摘 要:根据岩心、录井和测井资料的研究,东营凹陷现河油田河四地区沙二10砂组主要为辫状河三角洲沉积体系,储层的发育在很大程度上受沉积微相控制。岩心物性资料显示,沙二10砂组的储层具中孔隙度和低渗透率特征,孔-渗具有一定的相关性,储层的非均质性较强。同时,应用神经网络预测法对沙二10-1和沙二10-2两个小层砂体的厚度、分布特征及孔隙度进行了预测,为油气滚动勘探开发部署提供了依据。On the basis of core observation and logging data, this paper studies the sedimentary facies and their characteristics of stream channel reservoir in the tenth sand group of Member 2-10 of Paleogene Shahejie Formation (Es2^10) in Block 4 of the Xianhe oilfield of the Dongying depression. Braid fluvial delta and lacustrine facies have developled in Es2^10 in study area, and the distribution of the sedimentary facies controls the development of the reservoir bed. The property data of cores show that the reservoir of Es2^10 sand group is characterized by modified mid-porosity and low-permeability. The property of the reservoir is correlated with permeability and the heterogeneity of that is strong. The artificial neural network method is used to predict the reservoir thickness, distribution and porosity of Es2^10-1 and Es2^10-2. The results provide evidences for petroleum exploration and development.
分 类 号:TE122.23[石油与天然气工程—油气勘探]
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