Multilevel Strategies Improve History Matching of Complex Reservoir Models
The complete paper explores the use of multilevel derivative-free optimization for history matching, with model properties described using principal component analysis (PCA) -based parameterization techniques.
Machine-Learning-Based Early-Warning System Maintains Stable Production
This paper describes an accurate, three-step, machine-learning-based early warning system that has been used to monitor production and guide strategy in the Shengli field.
Machine Learning Optimizes Duvernay Shale-Well Performance
This paper discusses how machine learning by use of multiple linear regression and a neural network was used to optimize completions and well designs in the Duvernay shale.
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14 September 2020
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15 September 2020