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  1. Evaluating Proxies for the Drivers of Natural Gas Productivity Using Machine-Learning Models.William Harbert, Richard Hammack, Erich Zorn, Alexander Bear, Timothy Carr & Abhash Kumar - 2021 - Interpretation 9 (4):SG31-SG46.
    The extensive development of unconventional reservoirs using horizontal drilling and multistage hydraulic fracturing has generated large volumes of reservoir characterization and production data. The analysis of this abundant data using statistical methods and advanced machine-learning techniques can provide data-driven insights into well performance. Most predictive modeling studies have focused on the impact that different well completion and stimulation strategies have on well production but have not fully exploited the available in situ rock property data to determine its role in reservoir (...)
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