Russell流体因子在致密砂岩气层检测中的应用

发布时间：2018-05-14 21:23

本文选题：鄂尔多斯盆地 + 苏里格气田　；参考：《天然气工业》2017年01期

【摘要】：致密砂岩气藏的储层孔隙度一般都低于12%,导致孔隙中由流体差异引起的弹性参数差异小,在储层厚度较薄的情况下,常规AVO方法很难解决致密砂岩中的气水预测问题。为此通过对比现有的流体检测技术,优选出Russell流体因子作为致密砂岩流体检测的有效参数,进行单界面正演模拟测试后,得知Russell流体因子检测方法在入射角小于30°的范围内能够较好地拟合Zoeppritz方程,所获得的计算结果具有较高的精度,表明利用该方法能在小角度范围内比较准确地从叠前道集中拟合出流体因子属性。基于对鄂尔多斯盆地苏里格气田上古生界下二叠统下石盒子组盒8段致密砂岩气层的检测实践,对该方法进行了可行性分析。结果表明:在有效储层的孔隙度分布范围内,Russell流体因子的负异常越明显,其指示的储层含气饱和度就越高。结论认为,利用Russell流体因子来表征含气饱和度的相对大小、进行致密砂岩气层检测、指示含气储层的纵横向分布是可行的、可靠的。
[Abstract]:The porosity of tight sandstone gas reservoir is generally lower than 12, which leads to little difference of elastic parameters caused by fluid difference in pores. When the reservoir thickness is thin, the conventional AVO method is difficult to solve the problem of gas and water prediction in tight sandstone. By comparing the existing fluid detection techniques, the Russell fluid factor is selected as an effective parameter for tight sandstone fluid detection, and the single interface forward simulation test is carried out. It is known that the Russell fluid factor detection method can fit the Zoeppritz equation well in the range of incidence angle less than 30 掳, and the calculated results are of high accuracy. It is shown that the fluid factor attributes can be fitted accurately from the prestack channel set in a small angle range by using this method. The feasibility of this method is analyzed based on the detection practice of tight sandstone gas reservoirs in Bo8 member of Lower Shihezi formation in Upper Paleozoic and Lower Permian in Sulige Gas Field in Ordos Basin. The results show that the more obvious the negative anomaly of Russell fluid factor is in the effective reservoir porosity distribution, the higher the gas saturation indicates. The conclusion is that it is feasible and reliable to use Russell fluid factor to characterize the relative size of gas saturation and to detect tight sandstone gas reservoir and indicate the vertical and horizontal distribution of gas bearing reservoir.
【作者单位】：中国石油勘探开发研究院廊坊分院;河海大学地球科学与工程学院;
【基金】：国家科技重大专项“低渗、特低渗油气储层相对高产富集区预测技术”(编号:2011ZX05013-001)
【分类号】：P618.13

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