Research status and prospects of deep learning in oil and gas production prediction
With the advancement of big data and artificial intelligence(AI),digital and intelligent oil and gas production prediction technologies have become a new trend in the industry development.The effective combination of deep learning and oil and gas production prediction provides new solutions and strategies for predicting production of unconventional petroleum and in complex scenarios.After a systematic review of the development history of oil and gas production prediction techniques,this paper expounds the current application and key processes of oil and gas production prediction techniques based on deep learning methods,summarizes the feature engineering in the sector of oil and gas production prediction and the construction methods of neural networks in different scenarios,and finally discusses the prospects of intelligent oil and gas production prediction techniques.The following results are obtained.First,the development history of oil and gas production prediction techniques is mainly divided into three stages:traditional methods,machine learning methods,and deep learning methods.Second,deep learning methods have been widely used in oil and gas production prediction,and they are especially promising for unconventional petroleum in complex geological conditions.Third,diversified neural network construction methods allow for fine production prediction in different scenarios.Fourth,it is necessary to further enhance the interdisciplinary theoretical and technical research incorporating Al and the petroleum industry,and promote the deep integration of the two in theory and practices.Fifth,in view of intelligent oil and gas production prediction techniques,future efforts will focus on real-time prediction and optimization,data fusion and enhancement,physical constraints and interpretation,model update and adaptation.The conclusion suggests that deep learning models can enhance the accuracy and reliability of oil and gas production predictions,providing reference and guidance for complex gas reservoirs and unconventional petroleum development.It is recommended to continue deepening the integration of AI with the petroleum industry in the future to promote technological innovation and high-quality development in the sector.
万方数据
维普
