Day 2 Thu, March 16, 2023 2023
DOI: 10.2118/212723-ms
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Automated Production Forecasting Using a Novel Machine Learning Based Approach

Abstract: Production forecasting and hydrocarbon reserve estimation play a major role in production planning and field evaluation. Traditional methods of production forecasting use historical production data and do not account for completion and geolocation attributes that limit their prediction ability, especially for wells with a short production history. In this paper, we present a novel data-driven approach that accounts for the completion and geolocation parameters of a well along with its historical production dat… Show more

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