薄砂岩储层内部不连续性检测技术

利用常规的相干类属性与蚂蚁追踪组合技术所获取的不连续性信息,难以满足油田对于河流相和三角洲相薄砂岩储层精细剖析的需求。为了更好地检测薄砂岩储层内部不连续性,首先利用对薄砂岩储层变化更加敏感的均方根振幅属性计算灰度共生矩阵的均质性统计量,初步得到薄砂岩储层的不连续性特征数据;然后根据其不连续性结构的展布特点,运用路径弯曲度约束人工蚂蚁的移动方向,优化蚁群算法的平面增强效果,达到压制干扰信息、突出不连续性特征的目的;最终形成更适应薄砂岩储层不连续性检测的组合技术。模型和实际工区数据的应用结果表明,采用上述组合技术能较好地识别薄砂岩体的边缘以及其内部的小尺度不连续性结构,说明了该技术对薄砂岩储层内部不连续性检测的有效性,并且其检测结果能用于提升砂岩厚度预测精度,为后续的砂体内部结构精细刻画提供技术支持。

The discontinuity information obtained by a combination of conventional,coherent attributes,and ant tracking technology is not sufficient for the fine

analysis of medium-thin sandstone reservoirs in river and delta facies.To better detect the internal discontinuity of thin sandstone reservoirs,we present a unique method for attaining these discontinuity features.First,the gray-level co-occurrence matrix (GLCM) homogeneity is calculated using the root mean square (RMS) amplitude attributes extracted from the thin layer.Then,according to the distribution characteristics of the thin sandstone discontinuity structure,the path curvature is used to restrict the movement of artificial ants and optimize the plane enhancement effect of the ant colony algorithm.The

interference is then suppressed,and discontinuity characteristics are highlighted.Thus,the combined technology can enable thin sandstone reservoir discontinuity detection.Through a model experiment and field data test,the edges of a thin sandstone body,and its internal small-scale discontinuity structure,could be identified,verifying the effectiveness of the technology for detecting the internal discontinuity of thin sandstone reservoirs,and allowing the use of the detection results for improving the accuracy of sandstone thickness prediction.This can provide technical support for the subsequent fine

characterization of the internal structure of the sand body.