The gas/oil ratio (GOR) of unconventional wells in the Midland Basin is becoming an increasingly important topic, due to both transportation capacity and the general price conditions for gas products. Coupled with this, interwell spacing tests have caused many to rethink the economic viability of certain parts of shale basins. This study presents a machine learning approach to predicting GOR in the Midland Basin over the first 2 years of a well’s production history.

Keywords:
production control, complex reservoir, machine learning, artificial intelligence, reservoir surveillance, drilling operation, information, urtec, upstream oil & gas, oil production
Subjects:
Drilling Operations, Well & Reservoir Surveillance and Monitoring, Unconventional and Complex Reservoirs, Information Management and Systems, Directional drilling, Artificial intelligence
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2020. Unconventional Resources Technology Conference
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