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Research Article

Numerical investigation of interaction between hydraulic and natural fractures under various geologic and engineering parameters using particle flow code method

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Received 02 Feb 2020, Accepted 12 Apr 2020, Published online: 07 May 2020
 

ABSTRACT

Gaining a better understanding on the mechanism of the interaction between the hydraulic fracture (HF) and the natural fracture (NF) is essential for increasing the stimulated reservoir volume (SRV) of shale gas fracturing. In this study, a two-dimensional (2D) numerical model for simulating the behavior of HF/NF interaction using particle flow code (PFC) method was established, and this model can consider the fluid-mechanical coupling effect, the fluid flow in permeable NFs, and the heterogeneity of particle size. The numerical model was verified by KGD analytical model and Gu and Weng’s analytical model. The input micro-parameters for PFC simulation were calibrated to match with the experimental macro-parameters of Longmaxi shale by trial-and-error method. The effects of various geologic and engineering parameters on the HF/NF interaction were investigated using PFC method. The modeling results show that there are six kinds of HF/NF interaction patterns observed from the results of PFC simulation. The HF will hardly cross the NF directly when the permeability of NF reaches a higher value of 100 mD. When the in-situ stress difference reaches 13 MPa, the HF will cross the NF even if the other factors are not favorable to the occurrence of “crossing”. The product of injection rate and fracturing fluid viscosity (Q·μ) is suggested to be used to study the HF/NF interaction, and the HF tends to cross the NF under a higher value of Q·μ. Moreover, the scenario of “crossing” is extremely likely to occur under orthogonal approach angle, and frictional coefficient of NF has little effect on orthogonal HF/NF interaction. The cases with the same HF/NF interaction pattern have a similar variation trend of borehole pressure history curve. Through analyzing the numerical results, the technical measures such as variable pump rate fracturing method and alternate injection method of slickwater-linear gel fluid were suggested to be applied to increase the complexity of fracture network.

Abbreviation

2D: Two-dimensional; 3D: Three-dimensional; PFC: Particle flow code; EIA: Energy Information Administration; SRV: Stimulated reservoir volume; BPM: Bonded particle model; PBM: Parallel bond model; FEM: Finite element method; BEM: Boundary element method; DEM: Discrete element method; XFEM: Extended finite element method; CZM: Cohesive zone model; UDEC: Universal distinct element code; 3DEC: Three-dimensional distinct element code; DDM: Displacement discontinuity method; SJM: Smooth joint model

Nomenclature

Fi=

Contact force vector between particle A and particle B

Fn=

Normal contact force between particle A and particle B

Fs=

Shear contact force between particle A and particle B

Un=

Overlap displacement

kn=

Contact normal stiffness

kn(A)=

Normal stiffness of particle A

kn(B)=

Normal stiffness of particle B

ΔFs=

Increment of shear force between particle A and particle B

ΔUs=

Increment of shear displacement

ks=

Contact shear stiffness

ks(A)=

Shear stiffness of particle A

ks(B)=

Shear stiffness of particle B

μ=

Friction coefficient of the particles

Fi=

Total force carried by the parallel bond

Fn=

Axial-directed force of parallel bond acting on particle B

Fs=

Shear-directed force of parallel bond acting on particle B

ΔFn=

Increment of axial-directed force of parallel bond

ΔFs=

Increment of shear-directed force of parallel bond

A=

Cross-sectional area of the parallel bond

Mi=

Total moment carried by the parallel bond

Mn=

Axial-directed moment of parallel bond acting on particle B

Ms=

Shear-directed moment of parallel bond acting on particle B

ΔMn=

Increment of axial-directed moment of parallel bond

ΔMs=

Increment of shear-directed moment of parallel bond

kn=

Normal stiffness of the parallel bond

ks=

Shear stiffness of the parallel bond

σmax=

Maximum tensile stress acting on the parallel bond

τmax=

Maximum shear stress acting on the parallel bond

J=

Polar moment of inertia

I=

Moment of inertia

Δθn=

Rotation increment caused by polar moment of inertia

Δθs=

Rotation increment caused by moment of inertia

R=

Parallel bond radius

R[A]=

Radius of particle A

R[B]=

Radius of particle B

λpb=

Radius multiplier of the parallel bond

D=

Thickness of each particle disk

σˉc=

Normal strength of the parallel bond

τˉc=

Shear strength of the parallel bond

q=

Volume flow rate through the plate per unit height

b=

Hydraulic aperture

μ=

Fluid viscosity

Δp=

Increment of fluid pressure in the reservoir

ΔPf=

Flow pressure difference between two adjacent domains

L=

Pipe length

Kf=

Bulk modulus of fluid

Vd=

Domain volume

q=

Total volume flow rate

Δt=

Time step

ΔVd=

Change of domain volume

b0=

Initial hydraulic aperture

b=

Hydraulic aperture under infinite normal stress

σn=

Normal stress acting on the parallel bond

q=

Volume flow into the domain under disturbance

N=

Total number of the channels connected with a domain

Rd=

Average radius of particles around a domain

Δpp=

Disturbance pressure

Δpr=

Change of response pressure

Δu=

Relative displacement increment of two adjacent particles

Δun=

Normal relative displacement increment of two adjacent particles

Δus=

Shear relative displacement increment of two adjacent particles

(Fn)0=

Smooth joint normal force at the beginning of the timestep

(Fs)0=

Smooth joint shear force at the beginning of the timestep

Fn=

Updated smooth joint normal force

Fs=

Updated smooth joint shear force

A=

Area of smooth joint cross-section

θp=

Dip angle

knj=

Normal stiffness of SJM

ksj=

Shear stiffness of SJM

E=

Macro-Young’s modulus of reservoir

μ=

Fracturing fluid viscosity

l=

Half fracture length

x=

Distance between a certain position of hydraulic fracture and bottom hole

ν=

Poisson’s ratio of reservoir

Q=

Injection rate of fracturing fluid

t=

Injection time

Acknowledgments

The authors would like to thank the support of Dr Liuke Huang in providing the PFC2D software used in this work.

Additional information

Funding

The research was financially supported by the National Science and Technology Major Project of China [2016ZX05002-005-006] and the Sichuan Science and Technology Program [2019YFG0529];

Notes on contributors

Rui He

Rui He is a PhD student from Southwest Petroleum University with a research interest in mechanism of hydraulic fracturing and rock mechanics. He is a member of Society of Petroleum Engineers (SPE).

Zhaozhong Yang

Zhaozhong Yang is a professor from Southwest Petroleum University with a research interest in theory and technology of unconventional reservoir stimulation. He is an academic and technical leader in Sichuan Province. He holds a PhD from Southwest Petroleum University.

Xiaogang Li

Xiaogang Li is a professor from Southwest Petroleum University with a research interest in theory and technology of unconventional reservoir stimulation. He is a member of Society of Petroleum Engineers (SPE). He holds a PhD from Southwest Petroleum University.

Changyin Liu

Changyin Liu is a senior engineer from Sinopec Petroleum Exploration and Production Development Research Institute with a research interest in reservoir stimulation. He holds a PhD from Southwest Petroleum University.

Zhiyu Sun

Zhiyu Sun is a senior engineer from Sinopec Petroleum Exploration and Production Development Research Institute with a research interest in reservoir stimulation. He is a member of Society of Petroleum Engineers (SPE). He holds a PhD from East China University of Petroleum.

Wenhong Li

Wenhong Li is the vice President of Beijing Gepetto Petroleum Technology Co., Ltd with a research interest in application of hydraulic fracturing technique. He holds a bachelor's degree from Southwest Petroleum University.

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