Artificial Intelligence Enhances Reservoir Prediction Accuracy by 18% in Daqing Oilfield
Artificial Intelligence (AI) has been applied to reservoir prediction in the Daqing Oilfield, People's Republic of China, enhancing prediction accuracy by 18% compared to traditional methods. A research team from Daqing Oilfield Co. Ltd. has developed a new technique, integrating multi-source heterogeneous data through a deep learning neural network framework, to construct an intelligent reservoir prediction model with geological and physical constraints. This innovative solution has supported new well placement and contributed to a 22% increase in initial oil production in the pilot area.
Key Takeaways:
- The AI-based technique enhances prediction accuracy for thin sand layers by extracting high-frequency seismic information and establishing robust nonlinear mapping relationships.
- Inversion errors of reservoir parameters were reduced by more than 25%, while a vertical resolution of 0.5 m was achieved.
- Predictions agreed with actual drilling data with an accuracy of 86%, representing an 18% improvement over traditional methods.
- The technique successfully supported new well placement, contributing to a 22% increase in initial oil production in the pilot area.
- The study establishes a standardized technical procedure: "Time-Depth Modeling-Phase-Controlled Interpolation-Intelligent Inversion."
- The research has both theoretical significance and practical value for advancing reservoir prediction technology.
Statistics:
- 25% reduction in inversion errors of reservoir parameters
- 18% improvement in prediction accuracy
- 86% accuracy of predictions with actual drilling data
- 22% increase in initial oil production in the pilot area
- Vertical resolution of 0.5 m achieved
- 13% advantage of the new technique over traditional methods
Sources:
- Seismic Waveform-constrained Artificial Intelligence High-resolution Reservoir Inversion Technology. Processes, 2025;13(9):2876
- NewsRx. Researchers from Daqing Oilfield Co. Ltd. Report Details of New Studies and Findings in the Area of Artificial Intelligence (Seismic Waveform-constrained Artificial Intelligence High-resolution Reservoir Inversion Technology). China Weekly News. October 21, 2025; p 451