多子波分解技术在储层预测中的应用——以塔里木盆地SN区一间房组为例

Application of multi-wavelet decomposition technique to reservoir prediction: A case study of the Yijianfang Formation in SN block, Tarim Basin

杨玉杰

Yang Yujie

中国石化 西北油田分公司 勘探开发研究院, 乌鲁木齐 830011

Research Institute of Exploration & Production, SINOPEC Northwest Company, Urumqi, Xinjiang 830011, China

塔里木盆地SN区已钻井揭示，在一间房组强波谷之中有良好的油气显示，由于T74界面的强波峰屏蔽效果，振幅属性的强弱不能有效地预测储层分布，而正演结果则具有多解性。利用多子波分解与重构及第三分量预测了研究区储层分布。利用地震下半周轨迹属性预测的储层边界和发育区与第三分量预测结果基本吻合，与钻井揭示的储层也吻合，强振幅分布区域为有利储层发育带。因此，采用子波分解方法对数据进行处理，去除强轴影响，可得到较好的储层识别效果。

Good oil and gas shows were found in strong wave trough of the Yijianfang Formation in SN block of the Tarim Basin. Due to the shielding effect of the strong wave peak of T74 interface, general amplitude property could not effectively predict reservoir distribution while forward results also had multiple solutions. Multi-wavelet decomposition and reconstruction technique as well as the third component were introduced to predict reservoirs in the study area. The reservoir boundary and range predicted based on lower seismic tracks agreed with those based on the third component and drilling results. Zones with high amplitudes are favorable for reservoir development. Multi-wavelet decomposition technique can remove the influence of strong axis, and get a better reservoir recognition result.

https://doi.org/10.11781/sysydz2016S1019