利用多波联合预叠加反演技术预测致密砂岩储层:四川盆地 QL 地区案例研究

Qiyan Chen, Kang Chen, Hongqiu Wang, Guangguang Yang, Xin Guo, Wei Wei, Guangrui Guo
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摘要

四川盆地中部三叠系中统沙溪庙组属河湖相沉积体系,平均埋深2800米。这就导致了地震响应的巨大差异,给使用压缩波(P 波)数据预测砂体和储层带来了困难。我们对不同类型的砂体进行了测井分析。高孔隙度的 8 号砂体可通过 P 波阻抗(PI)有效识别。而对于孔隙度相对较低的 7 号砂体(主要是由于 7 号砂中的页岩含量比 8 号砂高),可通过剪切波(S 波)阻抗(SI)来区分砂岩和泥岩,并通过 P 波与 S 波的速度比(V p / V s)来识别储层。在 PP 波和 P-S 转换波(PS 波)(匹配后)角度叠加数据的基础上,对多组分数据进行预叠加反演。在实际应用中,多波联合反演结果(SI 和 V p /V s)比 PP 波反演具有更高的精度和稳定性。此外,联合反演的 PI 更清晰地描述了河道砂的分布和边界,与砂 8 的预测和钻探数据更加吻合。联合反演的 SI 可以识别 PP 波反演难以发现的细微砂体(PI 对比弱)。联合反演的 V p /V s 预测的储层分布(7 号砂体)比 PP 波反演更清晰、更好。这项研究证明了多波联合反演技术在致密砂识别中的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction of tight sandstone reservoirs by multi-wave joint prestack inversion technology: A case study of QL area in Sichuan Basin
The Shaximiao (SXM) Formation of the Middle Triassic in central Sichuan basin is a river-lake sedimentary system, with an average burial depth of 2800 m. The channel sand bodies of SXM Formation in QL area are developed with large lateral variation and high- and medium- porosity sand. This leads to great difference in seismic response, and difficulty in predicting sand bodies and reservoirs using compressional wave (P-wave) data. We carried out well log analysis for different types of sand bodies. No. 8 sand body of high porosity can be effectively identified by P-wave impedance ( PI). Whereas for No. 7 sand body of relatively lower porosity (mainly due to the higher shale content in the 7 No. 7 sand compared to No. 8 sand), sandstone and mudstone can be distinguished by using shear wave (S-wave) impedance ( SI), and reservoirs can be recognized by P-wave to S-wave velocity ratio ( V p /V s). Based on PP-wave and P-to-S converted wave (PS-wave) (after matching) angle stacked data, prestack inversion of multicomponent data is performed. Multiwave joint inversion results ( SI and V p /V s) have better accuracy and stronger stability than PP-wave inversion in practical application. Besides, the PI of joint inversion more clearly describes the distribution and boundaries of channel sand, and better matches the prediction and drilling data in Sand 8. The SI of joint inversion can identify subtle sand bodies (weak PI contrast) that are difficult to be detected by PP-wave inversion. The distribution of reservoir predicted by V p /V s of joint inversion are clearer (No. 7 sand body) and better than that by PP-wave inversion. This study demonstrates the advantage of the multiwave joint inversion technology in tight sand identification.
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