Microbially enhanced thermal oil recovery
US-12173591-B2 · Dec 24, 2024 · US
US9305121B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9305121-B2 |
| Application number | US-201113698243-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 11, 2011 |
| Priority date | Jun 28, 2010 |
| Publication date | Apr 5, 2016 |
| Grant date | Apr 5, 2016 |
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Method and systems for modeling fractures in quasi-brittle materials are provided. An exemplary method included generating a model that incorporates a unified creep-plasticity (UCP) representation into a constitutive model for a ductile rock. The model may be used in a finite element analysis to model hydraulic fractures in the ductile rock.
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What is claimed is: 1. A method for modeling hydraulic fractures in ductile rocks, comprising: generating, on a computer, a constitutive model for a quasi-brittle material that incorporates unified creep-plasticity (UCP) based on viscoplasticity theory; performing, on a computer, a finite element analysis using the constitutive model, wherein performing the finite element analysis comprises predicting a J-integral value and a stress field that incorporates a plasticity effect from finite element analysis using the constitutive model; determining, on a computer, an effective fracture propagation property for the quasi-brittle material based at least in part, upon a result from the finite element analysis; predicting, on a computer, hydraulic fractures in the quasi-brittle material, wherein predicting hydraulic fractures in the quasi-brittle material comprises predicting a hydraulic fracture of the ductile rocks using a pore pressure cohesive zone model (CZM); and harvesting hydrocarbon from the fractured rock. 2. The method of claim 1 , further comprising adjusting a hydraulic fracturing parameter based, at least in part, on the fractures predicted in the ductile rock. 3. The method of claim 1 , wherein a ratio between a length of a fracture process zone and a length of a non-linear fracture zone at a tip of a fracture is between about 1:1 and 1:1.5. 4. The method of claim 1 , wherein the ductile rock forms fractures that have a fracture process zone, wherein the fracture process zone is distributed over a finite size volume, and wherein the fracture process zone exhibits strain-softening. 5. The method of claim 4 , wherein a ratio of a length of the fracture process zone to a length of a non-linear fracture zone located at the tip of a fracture is between about 1:1 and 1:1.5. 6. The method of claim 1 , further comprising determining an effective fracture propagation property of the ductile rock. 7. The method of claim 6 , further comprising determining the effective fracture propagation property of the ductile rock using a numerical method. 8. The method of claim 1 , further comprising predicting a fracture in the ductile rock. 9. The method of claim 8 , further comprising adjusting a parameter in a fracturing process based, at least in part, on the predicted fracture in the ductile rock. 10. The method of claim 9 , wherein the parameter is a mass flow rate of a fluid, a pressure of a fluid, or a combination thereof. 11. The method of claim 1 , further comprising determining a flow of hydrocarbon in a fractured ductile rock. 12. A system for modeling fractures in a reservoir, comprising: a processor; a storage medium comprising a data structure comprising a model that incorporates unified creep-plasticity (UCP) based on viscoplasticity theory into a constitutive model for a ductile rock; and a non-transitory computer readable medium comprising code configured to direct the processor to: perform a finite element analysis of the ductile rock using the model, wherein performing the finite element analysis comprises predicting a J-integral value and a stress field that incorporates a plasticity effect from finite element analysis using the constitutive model; and predict hydraulic fractures in the ductile rock, wherein predicting hydraulic fractures in the ductile rock comprises using a pore pressure cohesive zone model (CZM), and wherein the prediction is useful for harvesting hydrocarbon from the reservoir. 13. The system of claim 12 , wherein the processor comprises a multi-processor cluster computer system. 14. The system of claim 12 , wherein the computer readable medium comprises code configured to direct the processor to determine the fracture propagation properties of the ductile rock. 15. The system of claim 12 , wherein the computer readable medium comprises code configured to direct the processor to predict a hydraulic fracture in the ductile rock based, at least in part, upon a result from the finite element analysis. 16. The system of claim 12 , wherein the computer readable medium comprises code configured to direct the processor to determine a flow of hydrocarbon in a fractured ductile rock. 17. A non-transitory, computer-readable medium comprising a data structure representing a cohesive fracture-mechanics model that combines a constitutive model with a unified creep-plasticity (UCP) model based on viscoplasticity theory, further comprising code configured to direct a processor to: perform a finite element analysis using the constitutive model, wherein performing the finite element analysis comprises predicting a J-integral value and a stress field that incorporates a plasticity effect from finite element analysis using the constitutive model; determine an effective fracture property for a ductile rock based at least in part, upon a result from the finite element analysis; and predict fractures in the ductile rock, wherein predicting fractures in the ductile rock comprises using a pore pressure cohesive zone model (CZM), and wherein the prediction is useful for harvesting hydrocarbon from the fractures in the ductile rock. 18. A method for harvesting hydrocarbons from a ductile rock formation, comprising: generating, on a computer, a model that incorporates unified creep-plasticity (UCP) based on viscoplasticity theory into a constitutive model for a ductile rock; performing, on a computer, a finite element analysis using the model, wherein performing the finite element analysis comprises predicting a J-integral value and a stress field that incorporates a plasticity effect from finite element analysis using the constitutive model; predicting, on a computer, fractures in a ductile rock formation based, at least in part, upon a result from the finite element analysis, wherein predicting fractures in the ductile rock formation comprises using a pore pressure cohesive zone model (CZM); fracturing the ductile rock formation using parameters based, at least in part, on the prediction of the fractures; and harvesting hydrocarbons from the fractured rock.
by forming crevices or fractures · CPC title
Physics · mapped topic
Physics · mapped topic
using finite element methods [FEM] or finite difference methods [FDM] · CPC title
Design optimisation, verification or simulation (optimisation, verification or simulation of circuit designs G06F30/30) · CPC title
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