论文部分内容阅读
在进行地质地震解释、油藏描述的过程中 ,对于厚度较大、沉积稳定、横向变化较小的储层 ,用传统的方法往往就能成功地得到较准确的地层厚度分布情况。但在储层厚度变化大、小断层发育的区域 ,尤其是在寻找河流相、湖相砂体分析岩层厚度分布时 ,传统算法效果不好。本文提出采用协克里金等多元统计分析技术 ,利用目标区内丰富的钻井数据和地震数据及其相关特征 ,预测或计算储层厚度真正的区域分布情况 ,得到了良好的油藏数据分布图件。
During the process of geological seismic interpretation and reservoir description, it is often successful to get the accurate distribution of formation thickness for the reservoirs with large thickness, stable deposition and small lateral variation. However, in the area where the thickness of the reservoir varies greatly and the small faults develop, especially when looking for the distribution of rock thickness in fluvial facies and lacustrine sand bodies, the traditional algorithm is ineffective. In this paper, a multi-factor statistical analysis technique such as Kirkley Kim et al. Is used to predict or calculate the true regional distribution of reservoir thickness by using abundant drilling and seismic data in the target area and its related features, and a good reservoir data distribution map is obtained Pieces.