Predicting Reservoir Quality

A system for predicting carbonate reservoir quality, the system comprising:

• at least one processor;
• and
• a memory storing instructions that, when executed by the at least one processor, cause the at least one processor to perform operations comprising:
• measuring properties of a subsurface reservoir;
• initializing a modeling grid and domain representing a sediment textural framework of the subsurface reservoir based on the measured properties;
• for a time period,
• predicting deposition of sediments during the time period using a depositional model;
• updating the modeling grid and domain based on the predicted deposition;
• transferring the modeling grid and domain from the depositional model to a diagenetic model;
• updating the sediment textural framework of the subsurface reservoir using the diagenetic model to simulate physical and chemical changes to deposited sediments during the time period;
• while additional layers of the subsurface reservoir remain to be incorporated into the modeling grid and domain,
• updating the time period and
• repeating the predicting deposition, updating the modeling grid and domain, transferring the modeling grid and domain, and updating the sediment textural framework steps.

A method of predicting reservoir quality, the method comprising:

• initializing a modeling grid and domain representing a sediment textural framework of a subsurface reservoir based on the measured properties of the subsurface reservoir;
• for a time period,
• predicting deposition of sediments during the time period using a depositional model;
• updating the modeling grid and domain based on the predicted deposition;
• transferring the modeling grid and domain from the depositional model to a diagenetic model;
• updating the sediment textural framework of the area's subsurface using the diagenetic model to simulate physical and chemical changes to deposited sediments during the time period;
• while additional layers of the area's subsurface remain to be incorporated into the modeling grid and domain,
• updating the time period and
• repeating the predicting deposition, updating the modeling grid and domain, transferring the modeling grid and domain, and updating the sediment textural framework steps;
• and
• storing the modeling grid and domain.