Gas sales volume have a significant impact on oil production in the Karachagank field due to gas injection constraints. Ambient temperature is one of the variables influencing gas sales volume. As global warming takes a toll on a climate, extreme weather conditions become frequent in the region hindering hydrocarbon production. The author used machine-learning techniques to predict gas sales volume based on weather forecast data. The results of prediction allow foreseeing potential possible drops in export volumes that can help field staff in proactive planning for opportunity maintenance on wells, the surface network, and a gas plant thus helping in avoiding large negative impacts caused by high ambient temperature.

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