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Data-driven model for hydraulic fracturing design optimization. Part II: Inverse problem
We developed a set of methods including those based on the use of Euclidean distance and clustering techniques to perform similar (offset) wells search, which is useful for a field engineer to analyze earlier fracturing treatments on similar wells.
A Predictive Model for Steady-State Multiphase Pipe Flow: Machine Learning on Lab Data
In order to extend the applicability and the accuracy of the existing accessible methods, a method of pressure drop calculation in the pipeline is proposed.
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