METHOD AND SYSTEM FOR MANAGING CARBON DIOXIDE SUPPLIES AND SUPERCRITICAL TURBINES USING MACHINE LEARNING

A method may include obtaining reservoir data for a geological region of interest. The method may further include obtaining turbine data regarding a supercritical carbon dioxide power (sCO2) turbine. The method may further include obtaining carbon emission data for a well coupled to the geological region of interest. The method may further include determining predicted production data and predicted carbon emission data using a machine-learning model, the reservoir data, the turbine data, and the carbon emission data. The method may further include transmitting a command to a control system based on the predicted production data and the predicted carbon emission data. The command may adjust an amount of carbon dioxide that is distributed to an injection well and the sCO2 turbine. The command achieves a predetermined production rate at the well and a predetermined carbon footprint.