SPE Europec Featured at 81st EAGE Conference and Exhibition 2019
DOI: 10.2118/195459-ms
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A Machine Learning Approach to Predict Gas Oil Ratio Based on Advanced Mud Gas Data

Abstract: Mud gas data from drilling operations provide the very first indication of the presence of hydrocarbons in the reservoir. It has been a dream for decades in the oil industry to predict reservoir gas and oil properties from mud gas data, because it would provide knowledge of the reservoir fluid properties in an early stage, continuously for all reservoir zones, and at low costs. Previous efforts reported in the literature did not lead to a reliable method for quantitative prediction of the reservoir fluid prope… Show more

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Cited by 12 publications
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