Systematic Machine Learning Application in Different Stages of Oilfield Development
Wei LiuLogin to View Article
This study compares various ML methods applied to different stages from oil and gas exploration to transportation in oilfields : reservoir identification, prediction of production in new wells and disposition prediction of pipelines. These ML methods are proved useful and fast in their applications to these areas. This work provides a set of systematic ML methods and their respective pertinent predicting parameters providing useful experiences and references for industry and future research.