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November 21, 2025Applied SciencesOpen Access

Modeling of High-Sand-Ratio and Low-Connectivity Reservoirs Based on Self-Attention Single-Image Generative Adversarial Network

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Authors

XLXi LuoJLJunbang LiuSLShaohua Li

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Overview

Experimental analysis reveals self-attention generative adversarial network improves geological modeling in reservoirs, indicating enhanced accuracy and randomness.

Key Points

  • SA-SinGAN achieves superior modeling performance, accurately reflecting low-connectivity characteristics in reservoirs.
  • FID score for SA-SinGAN was 143.75, compared to 175.61 for the conventional modeling method.
  • Comprehensive 3D modeling strategy incorporates self-attention mechanism for multi-scale feature capture.
  • This approach may enable better representation of complex reservoir structures in geological studies.

Cite This Study

Luo et al. (2025) studied this question.

synapsesocial.com/papers/6924e3f2c0ce034ddc34efe2https://doi.org/10.3390/app152312363
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  5. 5Cross‐Dimensional Generative Adversarial Networks (CDGAN) Geomodeling: Bridging 2D Geological Figures and 3D Reservoir Modeling2026