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    Volume 49 Issue 1
    Jan.  2024
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    Tang Jiafan, Tang Mingming, Lu Shuangfang, Liu Xueping, Zhang Kexin, He Taohua, Han Di, 2024. Three-Dimensional Modeling of Estuary Reservoir Based on Coupling Sedimentary Dynamics Simulation and Multipoint Geostatistics Method. Earth Science, 49(1): 174-188. doi: 10.3799/dqkx.2022.199
    Citation: Tang Jiafan, Tang Mingming, Lu Shuangfang, Liu Xueping, Zhang Kexin, He Taohua, Han Di, 2024. Three-Dimensional Modeling of Estuary Reservoir Based on Coupling Sedimentary Dynamics Simulation and Multipoint Geostatistics Method. Earth Science, 49(1): 174-188. doi: 10.3799/dqkx.2022.199

    Three-Dimensional Modeling of Estuary Reservoir Based on Coupling Sedimentary Dynamics Simulation and Multipoint Geostatistics Method

    doi: 10.3799/dqkx.2022.199
    • Received Date: 2021-11-15
      Available Online: 2024-01-24
    • Publish Date: 2024-01-25
    • In order to improve the three-dimensional modeling accuracy of the few well areas in the tidal-controlled estuary bay reservoir, the sedimentary dynamics simulation and multipoint geostatistics modeling method were used on the M1 layer of the J oilfield in the Oriente Basin, South America, to establish the sedimentation model of the study area with the selected terrain slope break height, tidal amplitude, estuary velocity, sediment particle size and other parameters. Considering the reservoir characteristics of the M1 layer, the sedimentation simulation results are converted into a three-dimensional training template. Combined with the three-dimensional training template and logging data, the multipoint geostatistics method was used to construct a fine three-dimensional geological model of the tidal-controlled estuary reservoir under the constraints of sedimentary dynamics simulation. The results show that under the constraints of the three-dimensional training template established by the sedimentary dynamics, the results of the core wells in the model fit well with the cores, and the relative error between the verification wells and the logging data is 7.6%, which are much better than those obtained by the sequential Gaussian simulation. It indicates that, in the tidal-controlled estuary bay reservoir, the establishment of a three-dimensional training template constrained reservoir model through sedimentary dynamics could effectively improve the accuracy of model in areas with a few wells, which are supported by the cross-validation results of verification wells. It will provide guidance for the exploration and development of oil-bearing reservoirs in tidal-controlled estuaries.

       

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