Multisource Modeling Method for Petroleum Production Prediction Models: A Case Study of CO2-Flooding Performance
Yukun Dong,
Jianxiang Jin,
Jiyuan Zhang
et al.
Abstract:Summary
Accurate prediction of oil production is crucial for formulating oilfield development strategies. With the rapid development of artificial intelligence, research on utilizing deep learning to construct oil production prediction models has been growing, which has partially compensated for the low computational efficiency of numerical simulators. Although the well-trained source domain model maintains high prediction accuracy on target blocks with similar production conditions, the predict… Show more
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