河流相储集层横向预测方法探索

A study on the lateral prediction of reservoirs in fluvial facies.

针对河流相储集层薄、纵横向变化大、连续性差和泥质干扰严重等特点 ,从储集层追踪、储集层特征参数的提取与结构重建等方面入手 ,在综合研究的基础上 ,应用波阻抗技术、地质统计学和多元统计等对河流相储集层进行横向预测。目前 ,利用钻井资料标定色标进行波阻抗剖面的储集层追踪是描述储集层宏观特性的有利手段。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 ,但应用统计方法 ,如多元统计、地质统计学等 ,可以把这两种信息综合起来。其具体实现是依据岩心、测井 ,参照井间地震建立储集层变化模型 ,并借助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结合起来。图 5参

The techniques of wave impedance, geological statistics and mu ltivariate statistics are applied to the prediction of reservoirs in the fluvial facies. These reservoirs normally are thin, change fast in p roperty and are seriously affected by mud content. Through reservoir tracing, ex tracting reservoir characteristic parameters and structure rebuilding, etc, thes e techniques are expected to be successfully used to the reservoir study. The re servoir tracing of wave impedance profile is effective in the description of res ervoir macroscopic characteristics by color code calibration of sampling reservo ir space. With the statistical methods e.g. multivariate statistics, geological statistics etc, the data in the two extremes can be combined. The model of rese rvoir changes is built according to core, log and cross well seismic data. The information can be well combined by the model with the appropriate statistical m ethod.