Reservoir Modeling of Braided River Reservoirs Based on Geological Knowledge Database: A Case Study of P1x Formation of the Daniudi Gas Field, Ordos Basin, China

被引:1
|
作者
Dou, Mengjiao [1 ]
Li, Shaohua [1 ]
Lei, Tao [2 ]
Ren, Guanglei [2 ]
Li, Xiaohui [2 ]
Guo, Ying [2 ]
Feng, Wenjie [1 ]
机构
[1] Yangtze Univ, Sch Geosci, Wuhan 430100, Peoples R China
[2] Huabei Branch Co Sinopec, Explorat & Dev Inst, Zhengzhou 450006, Peoples R China
基金
中国国家自然科学基金;
关键词
OIL-FIELD; OUTCROP; ARCHITECTURE; GEOMETRY; AREA;
D O I
10.2113/2022/6913641
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The sandy braided river depositional system developed in the Lower Shihezi Formation of the Daniudi gas field, Ordos Basin. It has the characteristics of frequent migration and oscillation of braided channels and large well spacing, making it challenging to portray the braided river sand body in this area, bringing uncertainty to the 3D geological modeling of the reservoir. This study takes the primary gas reservoir H1 member as an example. It establishes a quantitative geological knowledge database for the reservoir by statistically fitting the correlation equations between the braided channel and channel bar in the planes and profiles to reduce the uncertainty of reservoir modeling. This study combines the multisource and multiscale information from modern sedimentation, field outcrops, and tank simulation experiments of the braided river. From the data, the distribution intervals for the thickness and width of the braided channel sand body in the H1 member are 1-22m and 7-320 m, respectively, and the thickness, width, and length distribution intervals of the sand body in the channel bar are 3-30 m, 80-1500 m, and 240-4200 m, respectively. A 3D training image is established using the object-based simulation method based on the H1 member's well data and combining the quantitative parameters of various microfacies in the geological knowledge database. The multiple-point geostatistical modeling method is applied to establish a sedimentary microfacies model. The model's uncertainty is reduced through multi-information fusion constraint modeling, providing a reliable basis for guiding the prediction of the remaining gas in the Daniudi gas field.
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收藏
页数:21
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