Back to results
US 12,481,079 B2Granted
Systems and methods for generating elastic 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
Estimating the term…
Abstract
Systems and methods are disclosed for generating elastic property data as a function of position and time. Exemplary implementations may include obtaining a first initial elastic model and a first set of elastic parameters, obtaining training subsurface data and a first training elastic property dataset, generating a first conditioned elastic model, and storing the first conditioned elastic model.
Claims21
A computer-implemented method for training an elastic model to generate elastic 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 training subsurface dataset comprising synthetic 4D subsurface data and a first set of subsurface energy values obtained at a first set of times from a first set of field data sensors located at a first set of positions, the synthetic 4D subsurface data having been generated by converting synthetic elastic property data based on a rock-physics model, and
- a first set of elastic property values corresponding to the first training subsurface dataset;
- obtaining, from the electronic storage, a first initial elastic model and a first set of elastic parameters based on a first set of elastic relationships between the first training subsurface dataset and the first set of elastic property values, wherein the first set of elastic parameters comprises a set of rock matrix coefficients and a geomechanical compaction coefficient, the first initial elastic model comprising a structure parameter configured to adjust the accuracy of the first initial elastic model, wherein the first set of elastic relationships comprises a mapping between a set of elastic properties and the first training subsurface dataset, and wherein the first set of elastic parameters is selected as a subset of the set of elastic properties based on the mapping;
- determining (i) changes to the first set of subsurface energy values as a function of position and time and (ii) changes to the first set of elastic property values as a function of position and time, wherein position and time are determined from the first set of positions and the first set of times, respectively;
- generating, with the physical computer processor, a first conditioned elastic model by training the first initial elastic model using the first training subsurface dataset and the changes to the first set of elastic property values as a function of position and time;
- storing the first conditioned elastic model in the electronic storage;
- obtaining, from the electronic storage, a first target subsurface dataset comprising a second set of subsurface energy values obtained at a second set of times from a second set of field data sensors located at a second set of positions in the subsurface volume of interest, and a second set of elastic property values corresponding to the second set of subsurface energy values;
- determining changes to the second set of elastic property values as a function of position and time in the subsurface volume of interest;
- generating, with the physical computer processor, a first target elastic property dataset based on the second set of subsurface energy values as a function of position and time in the subsurface volume of interest by applying the first conditioned elastic model to the first target subsurface dataset;
- generating a representation of the first target subsurface dataset as a function of position and time in the subsurface volume of interest using visual effects to depict at least some of the first target subsurface dataset as a function of position and time;
- and
- displaying the representation via a display.
10 more elements
A computer-implemented method for generating elastic 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 set of subsurface energy values obtained at a first set of times from a first set of field data sensors located at a first set of positions, and a first set of elastic property values corresponding to the first set of subsurface energy values;
- obtaining, from the electronic storage, a first conditioned elastic model, the first conditioned elastic model having been generated by applying a first initial elastic property model to training subsurface data, a first training elastic property dataset, and a first set of elastic parameters, wherein the first set of elastic parameters comprises a set of rock matrix coefficients and a geomechanical compaction coefficient, wherein the training subsurface data comprises synthetic 4D subsurface data and field data, the synthetic 4D subsurface data having been generated by converting synthetic elastic property data based on a rock-physics model, wherein the field data is based on changes to the first set of subsurface energy values as a function of position and time, wherein the first training elastic property dataset is based on changes to the first set of elastic property values as a function of position and time, and the first set of elastic parameters defines a first set of elastic relationships between the training subsurface data and the first set of elastic property values, wherein the first conditioned elastic model comprises a structure parameter configured to adjust the accuracy of the first conditioned elastic model, wherein the first set of elastic relationships comprises a mapping between a set of elastic properties and the first training elastic property dataset, and wherein the first set of elastic parameters is selected as a subset of the set of elastic properties based on the mapping;
- obtaining, from the electronic storage, a first target subsurface dataset comprising a second set of subsurface energy values obtained at a second set of times from a second set of field data sensors located at a second set of positions in the subsurface volume of interest, and a second set of elastic property values corresponding to the second set of subsurface energy values;
- determining changes to the second set of elastic property values as a function of position and time in the subsurface volume of interest;
- generating, with the physical computer processor, a first target elastic property dataset based on the second set of elastic property values as a function of position and time in the subsurface volume of interest by applying the first conditioned elastic model to the first target subsurface dataset;
- generating a first representation of the first target subsurface dataset as a function of position and time in the subsurface volume of interest using visual effects to depict at least some of the first target subsurface dataset as a function of position and time;
- and
- displaying the first representation via a display.
5 more elements
A system for generating elastic property data as a function of position and time in a subsurface volume of interest, the system comprising:
- a display;
- electronic storage;
- and
- a physical computer processor configured by machine readable instructions to:
- obtain, from the electronic storage:
- a first training subsurface dataset comprising synthetic 4D subsurface data and a first set of subsurface energy values obtained at a first set of times from a first set of field data sensors located at a first set of positions, the synthetic 4D subsurface data having been generated by converting synthetic elastic property data based on a rock-physics model, and
- a first training elastic property dataset corresponding to the first training subsurface dataset;
- obtain, from the electronic storage, a first conditioned elastic model, the first conditioned elastic model having been generated by applying a first initial elastic property model to the first training subsurface dataset, the first training elastic property dataset, and a first set of elastic parameters based on a first set of elastic relationships, wherein the first set of elastic parameters comprises a set of rock matrix coefficients and a geomechanical compaction coefficient, the first conditioned elastic model comprising a structure parameter configured to alter the accuracy of the first conditioned elastic model, wherein the first set of elastic relationships comprises a mapping between a set of elastic properties and the first training elastic property dataset, and wherein the first set of elastic parameters is selected as a subset of the set of elastic properties based on the mapping;
- obtain, from the electronic storage, a second set of subsurface energy values obtained at a second set of times from a second set of field data sensors located at a second set of positions in a subsurface volume of interest, and a second set of elastic property values corresponding to the second set of subsurface energy values;
- determine changes to the second set of subsurface energy values as a function of position and time in the subsurface volume of interest;
- generate, with the physical computer processor, a first target elastic property dataset based on the second set of elastic property values as a function of position and time in the subsurface volume of interest by applying the first conditioned elastic model to the second set of elastic property values;
- generate, with the physical computer processor, a representation of the first target elastic property dataset using visual effects to depict a portion of the first target elastic property dataset as a function of position and time;
- and
- display the representation via the display.
11 more elements
Dependencies are inferred from the claim text.