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pSevenCompanyPublicationsData-driven model for hydraulic fracturing design optimization. Part II: Inverse problem

Data-driven model for hydraulic fracturing design optimization. Part II: Inverse problem

Authors:

Viktor Duplyakov, Anton Morozov, Dmitriy Popkov, Egor Shel, Albert Vainshtein, Evgeny Burnaev, Andrei Osiptsov, Grigory Paderin

Journal / Event:

Cornell University

Keywords: Optimization, Oil and Gas, Machine Learning, Predictive Modeling, Surrogate-Based Optimization

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Data-driven model for hydraulic fracturing design optimization. Part II: Inverse problem

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Journal / Event:

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