Static engine and neural network for a cognitive reservoir system
US-2024036231-A1 · Feb 1, 2024 · US
US10145985B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10145985-B2 |
| Application number | US-201314909963-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 7, 2013 |
| Priority date | Aug 7, 2013 |
| Publication date | Dec 4, 2018 |
| Grant date | Dec 4, 2018 |
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At least some of the disclosed systems and methods obtain a static earth model having multiple layers. Further, at least some of the disclosed systems and methods test a permeability associated with at least part of the static earth model. Further, at least some of the disclosed systems and methods calibrate the static earth model by adjusting a distribution or proportion of geological features in at least one of the multiple layers based on the testing. Further, at least some of the disclosed systems and methods use the calibrated static earth model to predict fluid flow in a formation.
Opening claim text (preview).
What is claimed is: 1. A method, comprising: obtaining a static earth model having multiple layers; testing a permeability of at least part of the static earth model; calibrating the static earth model by adjusting a distribution or proportion of geological features in at least one of the multiple layers based on results of said testing; and using the calibrated static earth model to predict fluid flow in a formation. 2. The method of claim 1 , wherein said adjusting a distribution or proportion of geological features comprises adjusting at least one of lithotype proportions and facies relationships. 3. The method of claim 1 , wherein said adjusting a distribution or proportion of geological features comprises adjusting a distribution of petrophysical properties within a defined depositional facies. 4. The method of claim 1 , wherein testing the permeability is based on Darcy's law expressed as: K abs = q µ A ▽ P , where K abs is an absolute permeability, q is a flux, μis a fluid viscosity, A is a cross-sectional area, and ∇P is a pressure gradient. 5. The method of claim 1 , wherein testing the permeability comprises performing a fluid flow simulation using the static earth model and comparing results of the fluid flow simulation with results of a well test. 6. The method of claim 1 , wherein said calibrating comprises applying a predetermined calibration rule. 7. The method of claim 1 , wherein obtaining the static earth model comprises generating a lithotype proportion map, and determining facies volumes for the static earth model using the lithotype proportion map. 8. The method of claim 1 , wherein obtaining the static earth model comprises determining petrophysical features for the static earth model that are spatially constrained based on facies volumes. 9. The method of claim 1 , further comprising repeating said testing and said calibrating until fluid flow predicted using the static earth model and permeability results of a well test match to within a predetermined tolerance level. 10. A hydrocarbon production control system, comprising: a memory having a control program; and one or more processors coupled to the memory, wherein the control program, when executed, causes the one or more processors to: obtain a static earth model having multiple layers; test a permeability of at least part of the static earth model; calibrate the static earth model by adjusting facies features associated at least one of the multiple layers based on the computed permeability; and use the calibrated static earth model to predict fluid flow in a formation. 11. The system of claim 10 , wherein the control program, when executed, causes the one or more processors to compute the permeability based on Darcy's law expressed as: K abs = q µ A ▽ P , where K abs is an absolute permeability, q is a flux μis a fluid viscosity, A is a cross-sectional area, and ∇P is a pressure gradient. 12. The system of claim 10 , wherein the control program, when executed, causes the one or more processors to perform a fluid flow simulation and to compare results of the fluid flow simulation with the computed permeability. 13. The system of claim 12 , wherein the control program, when executed, causes the one or more processors to adjust the facies features based on the comparison. 14. The system of claim 12 , wherein the permeability is computed based on a well test analysis. 15. The system of claim 12 , wherein the control program, when executed, causes the one or more processors to generate a facies model with facies feature proportions based on a lithotype proportion map, and to determine petrophysical features for the static earth model that are spatially constrained by the facies feature proportions. 16. The system of claim 10 , wherein the control program, when executed, causes the one or more processors to repeat the compute, and calibrate steps are until fluid flow predicted using the static earth model and permeability results of a well test match to within a predetermined tolerance level. 17. A non-transitory computer-readable medium that stores software, wherein the software, when executed, causes a computer to: obtain a static earth model having facies features; perform a permeability test that compares fluid flow simulation results using the static earth model with a permeability computed by applying Darcy's law to an area between an injector well and a production well; calibrate the static earth model by adjusting the facies features based on the permeability test; and use the calibrated static earth model to predict fluid flow in a formation. 18. The non-transitory computer-readable medium of claim 17 , wherein the software, when executed, causes the computer to generate a facies model, to determine a spatial distribution of the facies features using a lithotype proportion map, and to determine petrophysical features for the static earth model that are spatially constrained by the facies features. 19. The non-transitory computer-readable medium of claim 17 , wherein the software, when executed, causes the computer to calibrate the static earth model based on a predetermined calibration rule. 20. The non-transitory computer-readable medium of claim 17 , wherein the software, when executed, causes the computer to calibrate the static earth model using a calibration interface that accepts user input.
Physics · mapped topic
Equipment or details not covered by groups E21B15/00 - E21B40/00 · CPC title
Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells (applicable only to water E03B) · CPC title
Analogue computers for specific processes, systems or devices, e.g. simulators · CPC title
Geomodelling in general · CPC title
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