河流相储层综合预测方法探索

An approach to the prediction of fluvial reservoirs

关键词:  多元回归  地质统计学  预测方法  河流相储层

Key words:  multivariate regression  geostatistics  prediction technique  fluvial reservoirs

摘要:

本文以储层横向预测的研究内容为线索,从储层追踪、储层特征参数的提取与结构重建等方面入手,针对河流相储层薄、变化快且泥质干扰严重等特点,在立足于综合研究的基础上,特别注重波阻抗技术、地质统计学、多元统计等在河流相储层预测中的作用。目前,利用波阻抗剖面,采用钻井标定色标的办法,进行储层追踪是描述储层宏观特性的有利手段。虽测井信息与地震信息就其采样的储集空间来说处于两个极端,但应用统计学方法,如多元统计、地质统计学等,可以把这两种处于两个极端的信息综合起来。其具体实现是依据岩心、测井,参照井间地震建立储层变化模型,并借助于这一模型用合适的统计方法将这些不同分辨尺度的信息有机地融合在一起。

Abstract:

This study is focused on the roles of wave impedance technique, geostatistics and multivariate statistics in the prediction of fluvial reservoirs. At present, the reservoirs tracing by using the drilling color indicators may serve as a powerful tool for the description of the macroscopic features of fluvial reservoirs. Although quite different in well logs and seismic information, they can be synthetically studied with the aid of the above-mentioned statistic methods on the basis of the reservoir models constructed from the cores, well logs and interwell seismic information.