US 12,105,242 B2
Evaluating anisotropic effective permeability in rock formations having natural fracture networks
Jie Bai, Katy, TX (US); and Vladimir Nikolayevich Martysevich, Spring, TX (US)
Assigned to HALLIBURTON ENERGY SERVICES, INC., Houston, TX (US)
Appl. No. 17/298,734
Filed by Halliburton Energy Services, Inc., Houston, TX (US)
PCT Filed Jan. 25, 2019, PCT No. PCT/US2019/015152
§ 371(c)(1), (2) Date Jun. 1, 2021,
PCT Pub. No. WO2020/153972, PCT Pub. Date Jul. 30, 2020.
Prior Publication US 2022/0050224 A1, Feb. 17, 2022
Int. Cl. G06F 30/20 (2020.01); G01V 20/00 (2024.01); G06F 111/10 (2020.01); G06F 113/08 (2020.01)
CPC G01V 20/00 (2024.01) [G06F 30/20 (2020.01); G06F 2111/10 (2020.01); G06F 2113/08 (2020.01)] 18 Claims
OG exemplary drawing
 
1. A computer-implemented method to determine anisotropic effective permeability of a hydrocarbon-bearing rock formation, the method comprising:
using formation data to generate a model of a natural fracture network, NFN, within a rock formation, wherein a distribution of fractures within the NFN is determined using the formation data;
generating a poroelasticity model of the rock formation;
using the poroelasticity model applied based on the model of the natural fracture network to simulate:
reservoir fluid flow and rock deformation of the rock formation;
fluid flow within fractures of the NFN;
fluid exchange between the NFN and the rock formation; and
using the simulation to obtain a pressure depletion profile of the rock formation;
using the pressure depletion profile to determine the anisotropic effective permeability of the rock formation; and
using the anisotropic effective permeability to plan, perform, or analyze a wellbore operation.