Construction technology of superimposition patterns of sandbodies driven by well-seismic data and its application：Taking the Putaohua reservoir of Yaojia Formation in the northeastern WX Oilfield as an example
XU Shidong1,2, CHEN Shuping1,2, XUE Jiawen3, KONG Linghua4
1. State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum (Beijing), Beijing 102249, China; 2. College of Geosciences, China University of Petroleum (Beijing), Beijing 102249, China; 3. Beijing Bright IP AgencyCo., Ltd., Beijing 102200, China; 4. PetroChina Xinjiang Oilfield Company, Karamay, Xinjiang 834000, China
Abstract：Putaohua reservoir is one of the important oil-bearing layers in the WX Oilfield of Songliao Basin. Sandbodies in the reservoir have a large number of layers and small thicknesses (1～2 m). In addition, fast change in the sedimentary facies between wells makes sandbody distribution characteristics complex, and well spacing is large in some areas. As a consequence, it is difficult to describe the sedimentary microfacies characteristics of each sublayer precisely by traditional technologies and methods. So far, the superimposition patterns of sandbodies have not been established, which brings difficulties to oilfield development. In response, utilizing well logging, mud logging, and 3D seismic data, this paper builds a probability prediction model of sedimentary microfacies with the optimized random forest algorithm and data mining technology driven by well-seismic data. Further, the sedimentary microfacies types of each sublayer of the Putaohua reservoir in the Yaojia Formation in the northeastern WX Oilfield are identified using machine learning and the fuzzy identification method. At last, the paper estab-lishes four superimposition patterns of sandbodies in this area: plane connection, plane separation, vertical connection, and vertical separation. The technology has high reservoir prediction accuracy according to drilling verification in the study area. For sedimentary microfacies in channels, the average accuracy of sample wells can reach 88.8%, and the prediction accuracy of test wells in each sublayer(except the PI11 layer and the PI3 layer) is up to more than 80.0%. The finely described sedimentary microfacies and the established superimposition patterns of sandbodies can provide a basis for the comprehensive and effective evaluation of reservoirs, the optimization and adjustment of development programs, and the rational deployment of well locations.
徐世东, 陈书平, 薛佳雯, 孔令华. 井震数据联合驱动下砂体叠置模式构建技术及应用——以WX油田东北部姚家组葡萄花油层为例[J]. 石油地球物理勘探, 2023, 58(1): 178-189.
XU Shidong, CHEN Shuping, XUE Jiawen, KONG Linghua. Construction technology of superimposition patterns of sandbodies driven by well-seismic data and its application：Taking the Putaohua reservoir of Yaojia Formation in the northeastern WX Oilfield as an example. Oil Geophysical Prospecting, 2023, 58(1): 178-189.
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