IP Library › Granted Patent US 10,241,232
Granted Patent B2
US 10,241,232 · App. 15/111,111 · Granted Mar 26, 2019

Geomechanical and geophysical computational model for oil and gas stimulation and production

Inventors: Avi Lin (Houston, TX); Dinesh Ananda Shetty (Houston, TX); Jie Bai (Houston, TX); Srinath Madasu (Houston, TX); Joshua L. Camp (Pearland, TX)
Assignee: Halliburton Energy Services, Inc.
G01V99/005E21B41/0092E21B43/26E21B47/00E21B49/00E21B49/08G06F17/11G06F17/5009G06F17/5018E21B43/267E21B47/06E21B47/065G01V99/00G06F9/455G06F2217/16
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Quick Facts
Patent No.
US 10,241,232
App. No.
15/111,111
Granted
Mar 26, 2019
Kind
B2
Abstract

In some aspects, a number of subsystem models is accessed by a computer system. Each subsystem model represents dynamic attributes of a distinct physical subsystem in a subterranean region. At least one of the number of subsystem models represents dynamic attributes of a mechanical subsystem in the subterranean region. A discrete fracture network (DFN) model representing a fracture network in the subterranean region is accessed at the computer system. The DFN model includes junction models. Each junction model represents interactions between a respective set of subsystem models associated with the junction model. Junction variables of the junction model can be defined based on dynamic attributes of the respective set of subsystem models associated with the junction model. A stimulation treatment for the subterranean region can be simulated by operating the DFN model including the junction variables.

Claims (42)

1. A subterranean region simulation method comprising:

accessing, at a computer system, a plurality of subsystem models, each subsystem model representing dynamic attributes of a distinct physical subsystem in a subterranean region, at least one of the plurality of subsystem models representing dynamic attributes of a mechanical subsystem in the subterranean region;

accessing, at the computer system, a discrete fracture network (DFN) model representing a fracture network in the subterranean region, the DFN model comprising junction models, each junction model representing interactions between a respective set of subsystem models associated with the junction model, wherein said junction model uses a Navier-Stokes equation to model fluid flow and connects one or more joints to each other, and wherein said DFN model includes a leak-off model;

defining, by operation of the computer system, junction variables of the junction model based on dynamic attributes of the respective set of subsystem models associated with the junction model, wherein conservation equations of the DFN model are explicitly satisfied with the junction models defined using the junction variables;

simulating, by operation of the computer system, a first stimulation treatment for the subterranean region by operating the DFN model comprising the junction variables, wherein said simulating is used to control an injection treatment by generating a pumping schedule in advance of the injection treatment or by modifying an existing fracture treatment plan in real time during the injection treatment;

simulating, by operation of the computer system, a second stimulation treatment for the subterranean region based on the first stimulation treatment; and

performing the second stimulation treatment for the subterranean region.

2. The method of claim 1 , further comprising generating the DFN model.

3. The method of claim 1 , wherein at least one of the plurality of subsystem models representing dynamic attributes of a mechanical subsystem comprises a rock-block subsystem model.

4. The method of claim 1 , wherein the subsystem models comprise one or more of a fracture subsystem model, a wellbore subsystem model, a reservoir subsystem model, a rock-block subsystem, a fluid flow model, a junction model, a proppant transport subsystem model, a perforation model, or a friction model.

5. The method of claim 1 , wherein operating the DFN model comprising the junction variables comprises numerically simplifying one or more of the plurality of subsystem models using the junction variables.

6. The method of claim 1 , wherein operating the DFN model comprising the junction variables comprises:

discretizing the plurality of subsystem models using respective numerical discretization methods; and

simplifying the plurality of subsystem models regardless of the numerical discretization methods used for the plurality of subsystem models.

7. A non-transitory computer-readable medium storing instructions that, when executed by data processing apparatus, cause the data processing apparatus to perform operations comprising:

accessing a plurality of subsystem models, each subsystem model representing dynamic attributes of a distinct physical subsystem in a subterranean region, at least one of the plurality of subsystem models representing dynamic attributes of a mechanical subsystem in the subterranean region;

accessing a discrete fracture network (DFN) model representing a fracture network in the subterranean region, the DFN model comprising junction models, each junction model representing interactions between a respective set of subsystem models associated with the junction model, wherein said junction model uses a Navier-Stokes equation to model fluid flow and connects one or more joints to each other, and wherein said DFN model includes a leak-off model;

defining junction variables of the junction model based on dynamic attributes of the respective set of subsystem models associated with the junction model, wherein conservation equations of the DFN model are explicitly satisfied with the junction models defined using the junction variables;

simulating a first stimulation treatment for the subterranean region by operating the DFN model comprising the junction variables, wherein said simulating is used to control an injection treatment by generating a pumping schedule in advance of the injection treatment or by modifying an existing fracture treatment plan in real time during the injection treatment; and

simulating a second stimulation treatment for the subterranean region based on the first stimulation treatment, the second stimulation treatment being performed subsequent the simulation of the second stimulation treatment.

8. The non-transitory computer-readable medium of claim 7 , the operations further comprising generating the DFN model.

9. The non-transitory computer-readable medium of claim 7 , wherein at least one of the plurality of subsystem models representing dynamic attributes of a mechanical subsystem comprises a rock-block subsystem model.

10. The non-transitory computer-readable medium of claim 7 , wherein the subsystem models comprise one or more of a fracture subsystem model, a wellbore subsystem model, a reservoir subsystem model, a rock-block subsystem, a fluid flow model, a junction model, a proppant transport subsystem model, a perforation model, or a friction model.

11. The non-transitory computer-readable medium of claim 7 , wherein operating the DFN model comprising the junction variables comprises numerically simplifying one or more of the plurality of subsystem models using the junction variables.

12. The non-transitory computer-readable medium of claim 7 , wherein operating the DFN model comprising the junction variables comprises:

discretizing the plurality of subsystem models using respective numerical discretization methods; and

simplifying the plurality of subsystem models regardless of the numerical discretization methods used for the plurality of subsystem models.

13. A computing system comprising

data processing apparatus; and

memory storing computer-readable instructions that, when executed by the data processing apparatus, cause the data processing apparatus to perform operations comprising:

accessing a plurality of subsystem models, each subsystem model representing dynamic attributes of a distinct physical subsystem in a subterranean region, at least one of the plurality of subsystem models representing dynamic attributes of a mechanical subsystem in the subterranean region;

accessing a discrete fracture network (DFN) model representing a fracture network in the subterranean region, the DFN model comprising junction models, each junction model representing interactions between a respective set of subsystem models associated with the junction model, wherein said junction model uses a Navier-Stokes equation to model fluid flow and connects one or more joints to each other, and wherein said DFN model includes a leak-off model;

defining junction variables of the junction model based on dynamic attributes of the respective set of subsystem models associated with the junction model, wherein conservation equations of the DFN model are explicitly satisfied with the junction models defined using the junction variables;

simulating a first stimulation treatment for the subterranean region by operating the DFN model comprising the junction variables, wherein said simulating is used to control an injection treatment by generating a pumping schedule in advance of the injection treatment or by modifying an existing fracture treatment plan in real time during the injection treatment; and

simulating a second stimulation treatment for the subterranean region based on the first stimulation treatment, the second stimulation treatment being performed subsequent the simulation of the second stimulation treatment.

14. The system of claim 13 , the operations further comprising generating the DFN model.

15. The system of claim 13 , wherein at least one of the plurality of subsystem models representing dynamic attributes of a mechanical subsystem comprises a rock-block subsystem model.

16. The system of claim 13 , wherein the subsystem models comprise one or more of a fracture subsystem model, a wellbore subsystem model, a reservoir subsystem model, a rock-block subsystem, a fluid flow model, a junction model, a proppant transport subsystem model, a perforation model, or a friction model.

17. The system of claim 13 , wherein operating the DFN model comprising the junction variables comprises numerically simplifying one or more of the plurality of subsystem models using the junction variables.

18. The system of claim 13 , wherein operating the DFN model comprising the junction variables comprises:

discretizing the plurality of subsystem models using respective numerical discretization methods; and

simplifying the plurality of subsystem models regardless of the numerical discretization methods used for the plurality of subsystem models.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 12, 2016
From: LIN, AVI; SHETTY, DINESH ANANDA; BAI, JIE; MADASU, SRINATH; CAMP, JOSHUA L.
To: HALLIBURTON ENERGY SERVICES, INC.
Reel/Frame 039137/0337 →
Continuity (2)
Provisional Application 61934943 · Feb 3, 2014
Related Publication 20160341850A1 · Nov 24, 2016