| Citation: | DING Zupeng，ZHANG Yuqing，WANG Junjie，et al. A self-attention enhanced generative adversarial network approach for three-dimensional reservoir modeling[J]. Bulletin of Geological Science and Technology，2025，44（4）：391-402 doi: 10.19509/j.cnki.dzkq.tb20250109
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Three-dimensional reservoir modeling technology can automatically characterize the spatial heterogeneous structure of the reservoir. However, in some oilfields, the high exploitation difficulty and development cost result in large well spacing and limited drilling data.The three-dimensional modeling of oil and gas reservoirs based on sparse and limited available data has always been a challenge in oil and gas development.
Therefore, this study proposes a three-dimensional reservoir modeling method based on the self-attention mechanism and generative adversarial network. Geological profiles or boreholes with rich spatial structure information were introduced as conditional constraint data. The U-Net network structure combined with the self-attention mechanism was used to extract key structural features. A spatial context conditional loss function was designed to further constrain the reconstruction process, so that the conditional distribution of the reconstructed result closer to that of the real data.
The results of multiple sets of three-dimensional reservoir structure and complex sandstone pore modeling experiments showed that the three-dimensional reservoir modeling method proposed in this study can reproduce the geological spatial structure features and is consistent with the conditional data distribution of the reference model, with a reconstruction accuracy of 90%.
The method proposed in this study successfully captures those long-distance dependent features that are difficult to identify by traditional convolutional layers. It overcomes the potential problems caused by the sparse conditional data and the simulation results can reflect geological randomness. It can be applied to the efficient and accurate reconstruction of various reservoir geological structures.
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