System and method for reservoir performance diagnostics through artificial intelligence agents

A system comprising:

• a processor;
• memory accessible to the processor;
• processor-executable instructions stored in the memory executable to instruct the system to:
• receive a set of data related to one or more wells, the one or more wells belonging to one or more sectors of one or more reservoirs of a field;
• determine, based on the received set of data, performance metrics associated with the one or more wells at a well-level, a sector-level, a reservoir-level, and/or a field-level;
• determine, based on the determined performance metrics, one or more performance characteristics associated with the one or more wells, the one or more sectors, the one or more reservoirs, and/or the field;
• and
• generate, based on evaluation of the one or more performance characteristics, one or more solutions for improving the performance of the one or more wells, the one or more sectors, the one or more reservoirs, and/or the field.

One or more non-transitory computer-readable storage media comprising processor-executable instructions to instruct a computing system to:

• receive a set of data related to one or more wells, the one or more wells belonging to one or more sectors of one or more reservoirs of a field;
• determine, based on the received set of data, performance metrics associated with the one or more wells at a well-level, a sector-level, a reservoir-level, and/or a field-level;
• determine, based on the determined performance metrics, one or more performance characteristics associated with the one or more wells, the one or more sectors, the one or more reservoirs, and/or the field;
• and
• generate, based on evaluation of the one or more performance characteristics, one or more solutions for improving performance of the one or more wells, the one or more sectors, the one or more reservoirs, and/or the field.