摘要
综合应用冷家堡油田的地震、钻井、测井和油层物性资料，描述了Ｌ３５井区低孔、低渗深层滑塌浊积扇砂岩体油藏形态和储层的地球物理特征。应用人工神经网络技术和地震信息，预测含油砂岩的分布、物性多数横向变化及含油气面积，为油田勘探及开发部署提供依据。
Using the comprehensive data of seism,drilling, logging and physical propertyof oil--bearing formation in Lengjiapu oil field, this paper describes the reservoir morpholoy ofdeep fluxoturbidite with low porosity and low permeability , and the geophysical feature ofreservoirs in well block L35. Using technology of artificial nerve network and seismic data,this paper predicts the distribution of oil--bearing sandstone, lateral variation of physical parameters and oil--bearing area, and provides basis for exploration and development deployment of oil fields.
出处
《特种油气藏》
CAS
CSCD
1996年第3期5-10,共6页
Special Oil & Gas Reservoirs
关键词
储集层
预测
油藏描述
石油地质储量
words reservoir prediction. physical characteristic prediction of reservoir, prediction of oil--bearing area, artificial nerve network
