Patent ID: 11905817
Assignee: SAUDI ARABIAN OIL COMPANY
Field: Computer technology (Electrical engineering)
Classification: CPC E  G  Y | IPC E  G

Claim 0:
1. A method, comprising:
obtaining, by a computer processor, reservoir data for a geological region of interest;
obtaining, by the computer processor, acquired production data regarding one or more wells coupled to the geological region of interest;
obtaining, by the computer processor, carbon emission data for the one or more wells;
determining, by the computer processor, first predicted production data for the one or more wells using the reservoir data and a first machine-learning model;
determining, by the computer processor, error data based on a mismatch between the first predicted production data and the acquired production data;
updating, by the computer processor, the first machine-learning model to produce an updated machine-learning model,
wherein the first machine-learning model is updated using the error data and a machine-learning algorithm, and
wherein the machine-learning algorithm is a backward propagation algorithm;

determining, by the computer processor, first predicted carbon emission data for the one or more wells and second predicted production data for the one or more wells using the updated machine-learning model;
determining, by the computer processor, one or more stimulation parameters for a stimulation operation based on the first predicted carbon emission data and the second predicted production data;
transmitting, by the computer processor, a first command to a control system coupled to an injection well; and
adjusting, using the control system and in response to the control system receiving the first command, an amount of carbon dioxide that is supplied to the injection well based on the one or more stimulation parameters.