论文部分内容阅读
利用D-3井钻井、测井、试油、三维地震等资料及其邻区井的资料,综合运用全三维精细解释、储层预测、沉积微相特征研究、神经网络及分频吸收系数预测油水边界等油藏描述技术,对金湖凹陷D3块油藏的圈闭形态、储集体特征、流体分布等进行了三维空间的定性、定量描述和表征,为油藏储量计算、综合评价、数值模拟及优化开发设计方案提供了可靠依据,达到了利用一口关键井基本探明一个断块的目的。
Based on the data of drilling, well logging, oil testing, 3D seismic and other wells in D-3 well, comprehensive three-dimensional fine interpretation, reservoir prediction, sedimentary microfacies characteristics, neural network and frequency-division absorption coefficient prediction Oil-water boundary and other reservoir description techniques. The trap shape, reservoir characteristics and fluid distribution of the Block D3 reservoir in Jinhu Sag have been qualitatively and quantitatively described and characterized in three-dimensional space. Simulation and optimization of development and design provides a reliable basis to achieve the use of a key well to basically identify a broken block purposes.