Abstract
Data detailed on Machine Learning have been presented. According to news reporting originating in Stavanger, Norway, b y NewsRx journalists, research stated, "Mud gas data from drilling operations pr ovide the first indication of hydrocarbons in the reservoir. It has been a dream for decades in the oil industry to predict reservoir gas and oil properties fro m mud gas data because it would provide knowledge of the reservoir fluid propert ies in an early stage, continuously for all reservoir zones, and at low costs." Funders for this research include Equinor's Digital Subsurface, Equinor's Resear ch and Technology (RT) division.
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