Systematic Machine Learning Application in Different Stages of Oilfield Development
Wei Liu
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Abstract
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.