Patent ID: 11961002
Assignee: SAUDI ARABIAN OIL COMPANY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method comprising:
randomly selecting observation cells from a model of process-based reactive transport modeling (RTM);
incorporating the observation cells into a neural network for proxy modeling;
receiving, through a user interface, selections of training parameters for training a set of parameter-specific proxy models;
training, using the selections of training parameters, a set of parameter-specific proxy models represented by a neural network, wherein each parameter-specific proxy model corresponds to a specific RTM parameter from a set of RTM parameters;
performing tests using the set of parameter-specific proxy models, wherein each test tests a specific one of the parameter-specific proxy models;
generating predictions using the set of parameter-specific proxy models, wherein generating the predictions includes using nested prediction strategies including:
predicting, using the specific RTM parameter, a critical observation variable; and
predicting, using the critical observation variable, another observation variable;

performing 3-dimensional interpolation of the observation cells; and
generating, using results of multiple execution iterations of the parameter-specific proxy model, a progress sub-panel in a user interface, wherein the progress sub-panel identifies at least a number of completed iterations and a performance value corresponding to a mean squared error achieved by each iteration.