Systems and methods for generating subsurface property 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 property data as a function of position and time. Exemplary implementations may include obtaining a first initial subsurface property model and a first set of subsurface property parameters, obtaining training input data and a first training subsurface property dataset, generating a first conditioned subsurface property model, and storing the first conditioned subsurface property model.
Claims20
A computer-implemented method for training a subsurface property model to generate subsurface property 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 property model and a first set of subsurface property parameters defining a first set of subsurface property relationships between training input data and subsurface properties;
- obtaining, from the electronic storage, (i) training input data comprising one of (a) training subsurface data specifying changes to subsurface energy values as a function of position and time in the subsurface volume of interest and (b) training elastic property data specifying changes to elastic property values as a function of position and time in the subsurface volume of interest, and (ii) a first training subsurface property dataset specifying changes to subsurface property values as a function of position and time in the subsurface volume of interest;
- generating, with the physical computer processor, a first conditioned subsurface property model by training the first initial subsurface property model using the training input data, the first training subsurface property dataset, and the first set of subsurface property parameters;
- and
- storing the first conditioned subsurface property model in the electronic storage.
A computer-implemented method for generating subsurface property 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 property model, the first conditioned subsurface property model having been generated by applying a first initial subsurface property model to training input data, a first training subsurface property dataset, and a first set of subsurface property parameters, wherein the training input data comprise one of (a) training subsurface data specifying changes to subsurface energy values as a function of position and time in the subsurface volume of interest and (b) training elastic property data specifying changes to elastic property values as a function of position and time in the subsurface volume of interest, and wherein the first set of subsurface property parameters defines a first set of subsurface property relationships between training input data and subsurface properties;
- obtaining, from the electronic storage, a first target input dataset comprising one of (a) a first target subsurface dataset specifying changes to subsurface energy values as a function of position and time in the subsurface volume of interest and (b) a first target elastic property dataset specifying changes to elastic 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 property dataset specifying a first set of subsurface property values as a function of position and time in the subsurface volume of interest by applying the first conditioned subsurface property model to the first target input dataset.
A system for generating subsurface property 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 property model, the first conditioned subsurface property model having been generated by applying a first initial subsurface property model to training input data, a first training subsurface property dataset, and a first set of subsurface property parameters;
- obtain, from the electronic storage, a first target input dataset comprising one of (a) a first target subsurface dataset specifying changes to subsurface energy values as a function of position and time in the subsurface volume of interest and (b) a first target elastic property dataset specifying changes to elastic 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 property dataset specifying a first set of subsurface property values as a function of position and time in the subsurface volume of interest by applying the first conditioned subsurface property model to the first target input dataset.
Dependencies are inferred from the claim text.