Technical Introduction:
This technology is based on deep learning theory and utilizes nonlinear neural networks. It adopts multi-mechanism constraints for global and local optimization to perform high-resolution attribute inversion on seismic data. This process enables the acquisition of spatial variation characteristics of complex reservoirs, providing scientific decision-making support for reservoir evaluation and oil and gas prediction.
Application Areas:
The technology has been applied in basins and regions such as Sichuan, Tarim, Ordos, Bohai Bay, and the Pearl River Mouth. It has successfully been used for reservoir evaluation and oil and gas detection in complex heterogeneous tight sandstone reservoirs, tight carbonate reservoirs, and unconventional reservoirs (coalbed methane, shale gas, shale oil). Its technical level is at the leading domestic level.
Technical Advantages:
High resolution
Multiple inversion attributes
Wide adaptability
