薄煤层影响下的储层识别

西湖凹陷主要目的层平湖组地层受潮汐作用影响较大，薄煤层广泛分布，横向非均质性强。地震数据受薄煤层反射的干扰严重，容易引起岩性识别的虚假亮点。为提高优质储层预测可靠度，减少薄煤层存在引起的假象所带来的风险，形成了一套岩石物理驱动下、以含煤地层反射规律分析为基础、融合了地质统计学煤层刻画结果和叠前反演储层预测结果的、适用于含煤地层的储层综合识别方法，降低储层预测过程中煤层造成的假象，有效提升了砂体预测的可信度，为井位部署工作奠定了坚实的基础。

The main target layer Pinghu Formation strata of Xihu Sag is greatly affected by tidal action, thin coal seams are widely distributed, and horizontal heterogeneity is strong. Seismic data is seriously disturbed by thin coal seam reflection, which leads to false highlights of lithology identification. In order to improve the reliability of high-quality reservoir prediction and reduce the risk of false appearance caused by thin coal seams, a set of rock physics-driven reservoir comprehensive identification methods suitable for coal-bearing strata is formed, which is based on the analysis of the reflection law of coal-bearing strata, and integrates the results of geostatistical coal seam characterization and pre-stack inversion reservoir prediction. It reduces the illusion caused by coal seam in the process of reservoir prediction, effectively improves the reliability of sand body prediction, and lays a solid foundation for well location deployment.