Method and system for determining equivalent circulating density of a drilling fluid using image-based machine learning

A system, comprising:

• an image capturing device disposed on a drilling fluid circulation path of a wellbore during a drilling operation;
• a drilling system comprising a drill string and a plurality of sensors, wherein the drilling system is coupled to the wellbore;
• a mud pump system coupled to the wellbore, wherein the mud pump system is configured to supply drilling fluid to the wellbore;
• and
• a server coupled to the image capturing device, the drilling system, and the mud pump system, wherein the server comprises a computer processor, the server being configured to:
• obtain first cutting image data regarding a plurality of cuttings carried by a drilling fluid circulating in a well using the image capturing device;
• obtain drilling operation data in real-time regarding a drilling system performing the drilling operation;
• obtain drilling fluid data regarding the drilling fluid;
• determine a first cutting parameter of the plurality of cuttings using the first cutting image data and an image processing function;
• determine a lithology parameter of the plurality of cuttings using the first cutting image data and a machine-learning model;
• and
• determining an equivalent circulating density (ECD) value of the drilling fluid using an ECD model, the first cutting parameter, the lithology parameter, the drilling operation data, and the drilling fluid data.