Systems and methods for generating subsurface data as a function of position and time in a subsurface volume of interest
AssigneeChevron U.S.A. Inc.
InventorsYang Zhang, Mark Allan Meadows
Life of this patent
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Abstract
Systems and methods are disclosed for generating subsurface data as a function of position and time. Exemplary implementations may include obtaining a first initial subsurface model and a first set of subsurface parameters, obtaining training subsurface property data and a first training subsurface dataset, generating a first conditioned subsurface model, and storing the first conditioned subsurface model.
Claims20
A computer-implemented method for training a subsurface model to generate subsurface data as a function of position and time in a subsurface volume of interest, the method being implemented in a computer system that includes a physical computer processor and electronic storage, the method comprising:
- obtaining, from the electronic storage, a first initial subsurface model and a first set of subsurface parameters defining a first set of subsurface relationships between a first training subsurface dataset and subsurface properties;
- obtaining, from the electronic storage, (i) training subsurface property data specifying changes to subsurface property values as a function of position and time in the subsurface volume of interest and (ii) a first training subsurface dataset specifying changes to subsurface energy values as a function of position and time in the subsurface volume of interest;
- generating, with the physical computer processor, a first conditioned subsurface model by training the first initial subsurface model using the training subsurface property data, the first training subsurface dataset, and the first set of subsurface parameters;
- and
- storing the first conditioned subsurface model in the electronic storage.
A computer-implemented method for training a subsurface model to generate subsurface data as a function of position and time in a subsurface volume of interest, the method being implemented in a computer system that includes a physical computer processor and electronic storage, the method comprising:
- obtaining, from the electronic storage, a first conditioned subsurface model, the first conditioned subsurface model having been generated by applying the first initial subsurface model to the training subsurface property data, the first training subsurface dataset, and the first set of subsurface parameters, wherein the training subsurface property data specify changes to subsurface property values as a function of position and time in the subsurface volume of interest, wherein the first training subsurface dataset specifies changes to subsurface energy values as a function of position and time in the subsurface volume of interest, and wherein the first set of subsurface parameters defines a first set of subsurface relationships between a first training subsurface dataset and subsurface properties;
- obtaining, from the electronic storage, a first target subsurface property dataset specifying changes to subsurface property values as a function of position and time in the subsurface volume of interest;
- and
- generating, with the physical computer processor, a first target subsurface dataset specifying a first set of subsurface energy values as a function of position and time in the subsurface volume of interest by applying the first conditioned subsurface model to the first target subsurface property dataset.
A system for generating subsurface data as a function of position and time in a subsurface volume of interest, the system comprising:
- electronic storage;
- and
- a physical computer processor configured by machine readable instructions to:
- obtain, from the electronic storage, a first conditioned subsurface model, the first conditioned subsurface model having been generated by applying the first initial subsurface model to the training subsurface property data, the first training subsurface dataset, and the first set of subsurface parameters;
- obtain, from the electronic storage, a first target subsurface property dataset specifying changes to subsurface property values as a function of position and time in the subsurface volume of interest;
- and
- generate, with the physical computer processor, a first target subsurface dataset specifying a first set of subsurface energy values as a function of position and time in the subsurface volume of interest by applying the first conditioned subsurface model to the first target subsurface property dataset.
Dependencies are inferred from the claim text.