CN109472037A - Shale gas reservoir man-made fracture parameter preferred method and system - Google Patents

Shale gas reservoir man-made fracture parameter preferred method and system Download PDF

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CN109472037A
CN109472037A CN201710807067.XA CN201710807067A CN109472037A CN 109472037 A CN109472037 A CN 109472037A CN 201710807067 A CN201710807067 A CN 201710807067A CN 109472037 A CN109472037 A CN 109472037A
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shale gas
shale
pressure
crack
man
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范鑫
苏建政
张汝生
刘长印
黄志文
李凤霞
孙志宇
贺甲元
李萍
林鑫
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China Petroleum and Chemical Corp
Sinopec Exploration and Production Research Institute
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Sinopec Exploration and Production Research Institute
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/23Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
    • EFIXED CONSTRUCTIONS
    • E21EARTH OR ROCK DRILLING; MINING
    • E21BEARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B43/00Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
    • E21B43/25Methods for stimulating production
    • E21B43/26Methods for stimulating production by forming crevices or fractures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00Details relating to CAD techniques
    • G06F2111/04Constraint-based CAD
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00Details relating to CAD techniques
    • G06F2111/06Multi-objective optimisation, e.g. Pareto optimisation using simulated annealing [SA], ant colony algorithms or genetic algorithms [GA]

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Abstract

The invention discloses a kind of shale gas reservoir man-made fracture parameter preferred method and systems, comprising: stitches pessimistic concurrency control after establishing shale gas reservoir pressure;Determine the flow deformation coupled wave equation in matrix and crack;Establish productivity model after shale gas horizontal well pressure;The shale gas production capacity for calculating productivity model after pressing, turns to the preferred man-made fracture parameter of principle with production capacity maximum.The present invention provide it is a kind of consideration porous media deformation and Coupled with Flow shale gas reservoir fracturing improvement after Productivity, turning to principle with production capacity maximum can get optimal shale gas reservoir man-made fracture parameter combination.

Description

Shale gas reservoir man-made fracture parameter preferred method and system
Technical field
The invention belongs to oil-gas field development fields, preferred more particularly, to a kind of shale gas reservoir man-made fracture parameter Method and system.
Background technique
Shale gas reservoir generally requires the production that business exploitation could be formed using horizontal well and extensive hydraulic fracturing technology Can, man-made fracture is interspersed with intrinsic fracture in reservoir and forms netted Fracture System after pressure break.Come with production capacity maximization It is preferred that man-made fracture parameter is common method in FRACTURING DESIGN, and Complex Flows fracture is joined in accurate description fracture-type reservoir Number design is most important.Currently used fracture-type reservoir numerical simulator is divided into two major classes: continuity dielectric model and from Fractured model is dissipated, wherein continuity dielectric model includes diplopore list infiltration, the double infiltrations of diplopore, multi-dielectric model and equivalent medium mode Deng.Continuity dielectric model is widely applied in fracture-type reservoir, but is only applicable to crack and is uniformly distributed and sends out very much The reservoir educated, large error can be generated by developing general stratum model for local cracks.Noorishad and Mehra is proposed It is a kind of while considering discrete fractures basement model (the Discrete Fracture that fluid flows in basement rock and crack Model), need to be using unstructured grid and mesh refinement technology when grid division due to the complexity of fracture pattern, therefore it should Model is suitable for crack non-uniform Distribution and the little reservoir of fracture spacing.
As pore pressure decline reservoir effective stress increases, reservoir rock matrix hole is caused to blend under fracture permeabgility Drop, it is last to will affect the variation of pore pressure again, therefore how to describe matrix hole to blend fracture permeabgility variation to be that realization is accurate Calculate the key of shale gas reservoir productivity.In shale gas numerical simulation for simplicity, matrix hole is usually blended crack to seep The variation of saturating rate is converted into the function table of pore pressure or time, then imports in numerical model the explicit function relationship and carries out AOF calculation.This method is feasible in the case where uniaxial strain and normal stress are assumed, but can not describe actual reservoir condition and flow down Gu influence of the coupling effect to production.
In conclusion the prior art is mainly based upon simplified analytic solutions or diplopore to the calculating of production capacity after shale air pressure Double infiltration numerical models, it is less for research of the discrete man-made fracture to pressure and yield effect, thus man-made fracture parameter optimization Also lack tool.In terms of shale gas fluid structurecoupling research, for the stress sensitivity in shale matrix and crack frequently with theory The processing method of pressure sensibility is modeled or is equivalent to, this method cannot really reflect the fluid structurecoupling in shale gas production process Process.It is therefore desirable to provide a kind of shale gas reservoir man-made fracture parameter preferred method.
Summary of the invention
The present invention by provide it is a kind of consideration porous media deformation and Coupled with Flow shale gas reservoir fracturing improvement after produce Energy calculation method, turns to principle with production capacity maximum and obtains optimal shale gas reservoir man-made fracture parameter combination.
According to an aspect of the invention, it is proposed that a kind of shale gas reservoir man-made fracture parameter preferred method, the method It may include: to stitch pessimistic concurrency control after establishing shale gas reservoir pressure;Determine the flow deformation coupled wave equation in matrix and crack;Establish page Productivity model after rock air water horizontal well pressure;The shale gas production capacity for calculating productivity model after the pressure, it is excellent to turn to principle with production capacity maximum Work of choosing fracture parameters.
Preferably, pessimistic concurrency control is stitched after the pressure includes reservoir boundaries, horizontal wellbore, artificial major fracture and secondary fracture.
Preferably, the flow deformation coupled wave equation in the matrix and crack include: shale Medium Culture gas flow equation, Fluid flows continuity equation in shale pore media deformation equation and crack.
Preferably, the shale Medium Culture gas flow equation indicates are as follows:
Wherein, αBFor Biot coefficient;P is pore pressure;μ is fluid viscosity;Z is Gas Compression Factor;M (p) is quasi- pressure Power;εvFor bulk strain;M is Biot modulus,KgAnd KsRespectively represent the volume of gas and solid particle Modulus;VLAnd PLRespectively represent Lang Gemiaoer volume and Lang Gemiaoer pressure;ρrRepresent shale density;T is the time;BgIt is stratum Volume factor;QpFor source sink term;kaIt indicates to consider the apparent permeability that shale gas is slipped with transition flow;MgFor molecular weight gas; T is gas temperature;R is gas molar constant.
Preferably, the shale pore media deformation equation indicates are as follows:
Wherein, u is displacement field;G is modulus of shearing;ν is Poisson's ratio;αBFor Biot coefficient;For plane problem [m]= [1,1,0], for three-dimensional problem [m]=[1,1,1,0,0,0];M (p) is pseudopressure;F is body force;μ is fluid viscosity;Z is Gas Compression Factor.
Preferably, fluid flowing continuity equation indicates in the crack are as follows:
Wherein, SfFor crack packing coefficient;W is fracture width;V is fluid along crack boundary movement velocity;It is split for edge The tangential divergence in seam face;P is pore pressure;ρgFor for fluid density;T is the time.
Preferably, the shale gas production capacity for calculating productivity model after the pressure includes:
1) based on the flow deformation coupling in the boundary and primary condition, the matrix and crack for stitching pessimistic concurrency control after the pressure Equation obtains initial displacement field before carrying out incremental time calculating;
2) it is based on initial pressure field, displacement field and pressure field in each loop iteration step are calculated, according to the displacement , parameter and fracture permeabgility are seeped in the hole for obtaining pore media;
3) pressure difference before and after loop iteration, if being unsatisfactory for the limits of error, repeatedly step 2) -3 are compared), it is no Then, output unit node pressure and Gauss point stress calculate the shale gas production capacity;
4) judge calculate total time whether reach scheduled total time, if having reached scheduled total time, directly tie Beam calculates, and otherwise, goes successively to next incremental time and is calculated, and repeats step 2) -4).
Preferably, the man-made fracture parameter includes: crack cluster spacing, grade spacing, half long, major fracture flow conductivity and secondary Raw fracture condudtiviy.
According to another aspect of the invention, it is proposed that system described in a kind of shale gas reservoir man-made fracture parameter optimum decision system Include: memory, is stored thereon with computer executable instructions;Processor, the processor execute the meter on the memory Following steps are executed when calculation machine executable instruction: stitching pessimistic concurrency control after establishing shale gas reservoir pressure;Determine the stream in matrix and crack Dynamic deformation coupled wave equation;Establish productivity model after shale gas horizontal well pressure;The shale gas production capacity of productivity model after the pressure is calculated, The preferred man-made fracture parameter of principle is turned to production capacity maximum.
Preferably, the flow deformation coupled wave equation in the matrix and crack include: shale Medium Culture gas flow equation, Fluid flows continuity equation in shale pore media deformation equation and crack.
The beneficial effects of the present invention are: provide the shale gas reservoir of a kind of consideration porous media deformation and Coupled with Flow Productivity after fracturing reform can simulate under dynamic production environment artificial fracture parameters to shale gas using this method Optimal man-made fracture parameter combination can be obtained according to production capacity maximization principle for the affecting laws of production capacity.The present invention is innovation page The method of rock gas AOF calculation improves the preferred basic theory of fracture parameters, the optimization design of hydraulic fracturing is instructed all to have one Fixed theoretical and practical values.
Other features and advantages of the present invention will then part of the detailed description can be specified.
Detailed description of the invention
Exemplary embodiment of the invention is described in more detail in conjunction with the accompanying drawings, it is of the invention above-mentioned and its Its purpose, feature and advantage will be apparent, wherein in exemplary embodiment of the invention, identical reference label Typically represent same parts.
Fig. 1 shows the flow chart of the step of shale gas reservoir man-made fracture parameter preferred method according to the present invention.
Fig. 2 shows the schematic diagrams that pessimistic concurrency control is stitched after pressure according to an embodiment of the invention.
Fig. 3 shows crack normalization flow conductivity in varying strength shale according to an embodiment of the invention and returns Curve.
Fig. 4 shows shale crack long-term flow conductivity experimental data according to an embodiment of the invention and returns bent Line.
Fig. 5 shows cumulative production according to an embodiment of the invention with the long change curve of major fracture half.
Fig. 6 shows cumulative production according to an embodiment of the invention with crack grade spacing change curve.
Fig. 7 shows cumulative production according to an embodiment of the invention with crack cluster spacing change curve.
Fig. 8 shows cumulative production according to an embodiment of the invention and changes song with the initial flow conductivity of major fracture Line.
Fig. 9 shows cumulative production according to an embodiment of the invention and changes song with the initial flow conductivity of secondary fracture Line.
Specific embodiment
The preferred embodiment of the present invention is described in more detail below.Although the following describe preferred implementations of the invention Mode, however, it is to be appreciated that may be realized in various forms the present invention without that should be limited by the embodiments set forth herein.Phase Instead, these embodiments are provided so that the present invention is more thorough and complete, and can be by the scope of the present invention completely It is communicated to those skilled in the art.
Embodiment 1
In this embodiment, shale gas reservoir man-made fracture parameter preferred method according to the present invention may include: to establish Pessimistic concurrency control is stitched after shale gas reservoir pressure;Determine the flow deformation coupled wave equation in matrix and crack;Establish shale gas horizontal well pressure Productivity model afterwards;The shale gas production capacity for calculating productivity model after pressing, turns to the preferred man-made fracture parameter of principle with production capacity maximum.
The present embodiment by provide it is a kind of consideration porous media deformation and Coupled with Flow shale gas reservoir fracturing improvement after Productivity turns to principle with production capacity maximum and obtains optimal shale gas reservoir man-made fracture parameter.
Fig. 1 shows the flow chart of the step of shale gas reservoir man-made fracture parameter preferred method according to the present invention.Under The specific steps of shale gas reservoir man-made fracture parameter preferred method according to the present invention are described in detail with reference to Fig. 1 for face.
Step 101, pessimistic concurrency control is stitched after establishing shale gas reservoir pressure.
In one example, pessimistic concurrency control is stitched after pressure includes reservoir boundaries, horizontal wellbore, artificial major fracture and secondary fracture.
Fig. 2 shows the schematic diagrams that pessimistic concurrency control is stitched after pressure according to an embodiment of the invention.
Specifically, as shown in Fig. 2, seam pessimistic concurrency control includes reservoir boundaries, horizontal wellbore, artificial major fracture and secondary splits after pressure Seam.It needs to be determined that input parameter include horizontal wellbore length, it is horizontal well production Control Radius, artificial major fracture item number, secondary The deformation in fracture spacing and direction, initial level stress field, initial hole pressure field, boundary seepage flow condition and boundary constrains Condition further includes that the elasticity modulus of rock, bulk modulus, Poisson's ratio, Biot coefficient, initial porosity, shale matrix are inherently seeped The original permeability of saturating rate, shale artificial major fracture and secondary fracture.
Step 102, the flow deformation coupled wave equation in matrix and crack is determined.
Specifically, after shale air pressure in production process, with the continuous extraction of gas, matrix pores are acted on accordingly Interior and fracture surface upper fluid pressure constantly reduces, so that effective stress increases, and the variation of stress necessarily causes reservoir in reservoir The change of the parameters such as porosity, fluid neuron network speed and fracture permeabgility influences whether that matrix and fracture surface are upper again in turn The variation of body pressure, the interaction relationship that this fluid neuron network and rock deformation mutually restrict in reservoir rock is seepage flow- Stress coupling.In this embodiment it is assumed that reservoir rock porous media meets flexible deformation criterion, the variation of fracture permeabgility by Effective stress and insertion double action influence.
In one example, the flow deformation coupled wave equation in matrix and crack includes: shale Medium Culture gas flow side Fluid flows continuity equation in journey, shale pore media deformation equation and crack.
In one example, the gas flow of shale Medium Culture considers the diffusion and desorption of methane under actual gas state Attached, shale Medium Culture gas flow equation indicates are as follows:
Wherein, αBFor Biot coefficient;P is pore pressure;μ is fluid viscosity;Z is Gas Compression Factor;M (p) is quasi- pressure Power;εvFor bulk strain;M is Biot modulus,KgAnd KsRespectively represent the volume of gas and solid particle Modulus;VLAnd PLRespectively represent Lang Gemiaoer volume and Lang Gemiaoer pressure;ρrRepresent shale density;T is the time;BgIt is stratum Volume factor;QpFor source sink term;kaIt indicates to consider the apparent permeability that shale gas is slipped with transition flow;MgFor molecular weight gas; T is gas temperature;R is gas molar constant.
In one example, petrosal foramen gap deformation of media establishes the relationship of porosity and strain, page according to gap Elasticity Petrosal foramen gap deformation of media equation indicates are as follows:
Wherein, u is displacement field;G is modulus of shearing;ν is Poisson's ratio;αBFor Biot coefficient;For plane problem [m]= [1,1,0], for three-dimensional problem [m]=[1,1,1,0,0,0];M (p) is pseudopressure;F is body force;μ is fluid viscosity;Z is Gas Compression Factor.
The relationship of shale matrix porosity and strain are as follows:
Wherein, φ0For initial porosity;αBFor Biot coefficient;εvFor bulk strain;P is Pore pressure;p0For initial pore pressure;KsFor the bulk modulus of solid particle.
Rock intrinsic permeability can be characterized with porosity by cubic law:
Wherein, kRepresent the intrinsic permeability (m of Rock Matrix2);k0And φ0Respectively represent the initial infiltration of Rock Matrix Rate and initial porosity;φ is the effecive porosity after rock deformation.
In one example, fluid flowing is taken as flowing inner boundary to handle in crack, and assumes only to be parallel to split The flowing in seam face direction, ignore along slit width direction fluid flowing, therefore can fracture carry out dimension-reduction treatment, will be in two dimensional model Plane suture indicate that stitching the volume in threedimensional model is indicated with boundary face with boundary line, fluid flows continuity side in crack Journey indicates are as follows:
Wherein, SfFor crack packing coefficient;W is fracture width;V is fluid along crack boundary movement velocity;It is split for edge The tangential divergence in seam face;P is pore pressure;ρgFor for fluid density;T is the time.
Fluid flows through Darcy's law characterization in stitching:
Wherein, kfFor fracture permeabgility;μ is fluid viscosity;W is fracture width;▽TFor the divergence tangential along fracture surface;p For pore pressure.
The relationship of shale man-made fracture permeability and effective stress may be expressed as:
Wherein, kf0Expression effective normal stress is σe0When crack original permeability, cfFor crack compression ratio, σeTo act on Effective normal stress on fracture surface.
The quantitative relationship of shale man-made fracture flow conductivity and time:
FRCD=53t-0.16 (8)
Wherein, FRCDFor fracture condudtiviy, unit Dcm;T is time, unit h.
Step 103, productivity model after shale gas horizontal well pressure is established.
Specifically, it is contemplated that the seepage-pipe coupling model effect after shale air pressure in production process determines in matrix and crack Flow deformation coupled wave equation, including the shale Medium Culture gas flow equation as shown in formula (1), as shown in formula (2) Fluid flows continuity equation in shale pore media deformation equation and the crack as shown in formula (3), and coupling terms are then by formula (4), formula (5), formula (7), formula (8) are constituted.
Step 104, the shale gas production capacity of productivity model after pressing is calculated, the preferred man-made fracture ginseng of principle is turned to production capacity maximum Number.
Specifically, production capacity fluid structurecoupling numerical value calculating side after shale gas reservoir pressure is established using finite element method Method solves the non-linear of equation using iterative method.
In one example, the shale gas production capacity of productivity model includes: after calculating pressure
1) boundary of pessimistic concurrency control is stitched after specifying pressure, and model is initialized, indirect assignment acquisition is carried out to pressure field Initial pressure field, and according to the flow deformation coupled wave equation in matrix and crack, before carrying out incremental time calculating first To the initial displacement field under edge load and Pore Pressure;
2) assignment is carried out to the gas physical parameter on each solution unit according to initial pressure field, is counted under boundary condition The displacement field and pressure field obtained in each loop iteration step is calculated, the stress on Gauss point point is acquired according to modal displacement field Cloth, and parameter and fracture permeabgility are seeped in the hole for obtaining pore media accordingly;
3) calculated result before and after loop iteration is compared, if being unsatisfactory for the limits of error, return step 2 continues to follow Ring iterative, following iteration walk value and are generated by the weighted sum of the calculated value before current iteration step calculated value and current iteration step, If meeting the limits of error, output unit node pressure and Gauss point stress calculate shale gas production capacity and export;
4) judge calculate total time whether reach scheduled total time, gone successively to if not up to scheduled total time Next incremental time is calculated, and step 2) -4 is repeated), until calculating until predetermined total time, otherwise directly terminate to transport It calculates.
In one example, man-made fracture parameter include: crack cluster spacing, grade spacing, half long, major fracture flow conductivity and Secondary fracture flow conductivity.
Specifically, it on the basis of the shale gas horizontal well multistage fracturing productivity model of foundation, is produced to shale gas is influenced The fracture parameters of energy optimize research.For crack cluster spacing, grade spacing, half long, major fracture flow conductivity and secondary split The parameters such as flow conductivity are stitched, have studied each Parameters variation respectively to the affecting laws of production capacity, and give optimal man-made fracture Parameter designing reference value.
Present embodiments provide it is a kind of consideration porous media deformation and Coupled with Flow shale gas reservoir fracturing improvement after produce Energy calculation method can simulate influence of the artificial fracture parameters to shale gas production capacity under dynamic production environment using this method and advise Rule, optimal man-made fracture parameter combination can be obtained according to production capacity maximization principle.For innovate shale gas AOF calculation method, It improves the preferred basic theory of fracture parameters, instruct the optimization design of hydraulic fracturing that all there are certain theoretical and practical values.
Using example
A concrete application example is given below in the scheme and its effect of the embodiment of the present invention for ease of understanding.This field It should be understood to the one skilled in the art that the example is only for the purposes of understanding the present invention, any detail is not intended to be limited in any way The system present invention.
Firstly, table 1 shows the basic parameter of shale gas reservoir model, according to the basic parameter in table 1, shale gas is established Pessimistic concurrency control is stitched after reservoir pressure.
Table 1
Physical quantity Numerical value Unit Physical quantity Numerical value Unit
Initial porosity, φ 0.04 Bottom-hole producing pressure (PBHP), pw 15.00 MPa
Poisson's ratio, ν 0.25 Temperature, T 363.00 K
Biot coefficient, αB 0.64 Shale density, ρr 2.40×103 kg/m3
Young's modulus, E 20.68 GPa Minimum horizontal principal stress, σh -39.01 MPa
Bulk modulus, K 13.79 GPa Maximum horizontal principal stress, σH -43.34 MPa
Particle volume modulus, Ks 37.82 GPa Lang Gemiaoer pressure, PL 3.50 MPa
Pore radius, Rc 1.00E-8 m Lang Gemiaoer volume, VL 2.41×10-3 m3/kg
Adsorbent layer thickness, dm 0.40E-9 m Major fracture original width, w 5.00 mm
Reservoir length, L 2000.00 m Major fracture compression ratio, cf1 0.04 1/MPa
Reservoir half width, W 320.00 m Secondary fracture original width, wi 0.50 mm
Stratum initial pressure, pi 28.27 MPa Secondary fracture compression ratio, cf2 0.07 1/MPa
Secondly, being determined in matrix and crack in view of the seepage-pipe coupling model effect after shale air pressure in production process Flow deformation coupled wave equation, including the shale Medium Culture gas flow equation as shown in formula (1), the page as shown in formula (2) Fluid flows continuity equation in petrosal foramen gap deformation of media equation and the crack as shown in formula (3), and coupling terms are then by formula (4), formula (5), formula (7), formula (8) are constituted.
Fig. 3 shows in above-mentioned application example crack in varying strength shale and normalizes flow conductivity regression curve.Fig. 3 The experimental data of shale man-made fracture flow conductivity and effective stress is given, grade fracture width is to reservoir in laboratory experiment Flow effect is little, assumes that fracture width is constant in discrete fractures model, only fracture permeabgility changes, therefore crack Flow conductivity kfW is only related to permeability.It can be returned to obtain crack compression ratio c according to flow conductivity experimental dataf, Jin Erke Obtain the quantitative relationship of shale man-made fracture permeability and effective stress as shown in formula (7).
Fig. 4 shows shale crack long-term flow conductivity experimental data and regression curve in above-mentioned application example.According to Experimental data can return to obtain shown in shale fracture condudtiviy and the quantitative relationship of time such as formula (8).
Then, unity couping is carried out to the productivity model using business finite element solving device and solves displacement field and pressure field, choosing Triangle element mesh is selected, and is encrypted around crack.After obtaining pressure distribution, counted according to such as formula 6 The yield and cumulative production of shale gas can be obtained in the fluid velocity field of calculation.
Finally, productivity model is solved and has been verified using multiple physical field couple solution device, for crack cluster spacing, The artificial fracture parameters such as grade spacing, fracture half-length, major fracture flow conductivity and secondary fracture flow conductivity, using orthogonal experiment In two horizontal parts molecular group design method find significant variable therein, target is turned to production capacity maximum, each parameter is carried out Preferably.
Fig. 5 shows in above-mentioned application example cumulative production with the long change curve of major fracture half.Fig. 6 is shown above-mentioned Using cumulative production in example with crack grade spacing change curve.Fig. 7 shows in above-mentioned application example cumulative production with splitting Stitch cluster spacing change curve.It is bent with the initial flow conductivity variation of major fracture that Fig. 8 shows the cumulative production in above-mentioned application example Line.Fig. 9 shows in above-mentioned application example cumulative production with the initial flow conductivity change curve of secondary fracture.Extremely according to Fig. 5 Fig. 9 analysis recommends major fracture partly to grow in 200m or so under the conditions of the present embodiment after comprehensive analysis, and optimal crack grade spacing is 75m-100m, optimal crack cluster spacing be 30m-40m, recommend the initial flow conductivity of major fracture 10mdm-100mdm it Between, the initial flow conductivity of secondary fracture be greater than 0.25mdm, that is, can guarantee higher cumulative production.
This application example provide it is a kind of consideration porous media deformation and Coupled with Flow shale gas reservoir fracturing improvement after Productivity can simulate artificial influence of the fracture parameters to shale gas production capacity under dynamic production environment using this method Optimal man-made fracture parameter combination can be obtained according to production capacity maximization principle for rule.For the side for innovating shale gas AOF calculation Method improves the preferred basic theory of fracture parameters, the optimization design of hydraulic fracturing is instructed all to have certain theoretical and practical valence Value.
It will be understood by those skilled in the art that above to the purpose of the description of the embodiment of the present invention only for illustratively saying The beneficial effect of bright the embodiment of the present invention is not intended to limit embodiments of the invention to given any example.
Embodiment 2
According to an embodiment of the invention, providing a kind of shale gas reservoir man-made fracture parameter optimum decision system, system includes: Memory is stored thereon with computer executable instructions;Processor, processor execute the computer executable instructions on memory Shi Zhihang following steps: pessimistic concurrency control is stitched after establishing shale gas reservoir pressure;Determine the flow deformation coupled wave equation in matrix and crack; Establish productivity model after shale gas horizontal well pressure;The shale gas production capacity for calculating productivity model after pressing, turns to principle with production capacity maximum It is preferred that man-made fracture parameter.
In one example, the flow deformation coupled wave equation in matrix and crack includes: shale Medium Culture gas flow side Fluid flows continuity equation in journey, shale pore media deformation equation and crack.
Present embodiments provide it is a kind of consideration porous media deformation and Coupled with Flow shale gas reservoir fracturing improvement after produce Energy calculation method can simulate influence of the artificial fracture parameters to shale gas production capacity under dynamic production environment using this method and advise Rule, optimal man-made fracture parameter combination can be obtained according to production capacity maximization principle.For innovate shale gas AOF calculation method, It improves the preferred basic theory of fracture parameters, instruct the optimization design of hydraulic fracturing that all there are certain theoretical and practical values.
It will be understood by those skilled in the art that above to the purpose of the description of the embodiment of the present invention only for illustratively saying The beneficial effect of bright the embodiment of the present invention is not intended to limit embodiments of the invention to given any example.
Various embodiments of the present invention are described above, above description is exemplary, and non-exclusive, and It is not limited to disclosed each embodiment.Without departing from the scope and spirit of illustrated each embodiment, for this skill Many modifications and changes are obvious for the those of ordinary skill in art field.

Claims (10)

1. a kind of shale gas reservoir man-made fracture parameter preferred method, which is characterized in that this method comprises:
Pessimistic concurrency control is stitched after establishing shale gas reservoir pressure;
Determine the flow deformation coupled wave equation in matrix and crack;
Establish productivity model after shale gas horizontal well pressure;
The shale gas production capacity for calculating productivity model after the pressure, turns to the preferred man-made fracture parameter of principle with production capacity maximum.
2. shale gas reservoir man-made fracture parameter preferred method according to claim 1, wherein stitch pessimistic concurrency control after the pressure Including reservoir boundaries, horizontal wellbore, artificial major fracture and secondary fracture.
3. shale gas reservoir man-made fracture parameter preferred method according to claim 1, wherein in the matrix and crack Flow deformation coupled wave equation include: in shale Medium Culture gas flow equation, shale pore media deformation equation and crack flow Body flows continuity equation.
4. shale gas reservoir man-made fracture parameter preferred method according to claim 3, wherein the shale Medium Culture gas Body percolation equationk indicates are as follows:
Wherein, αBFor Biot coefficient;P is pore pressure;μ is fluid viscosity;Z is Gas Compression Factor;M (p) is pseudopressure;εv For bulk strain;M is Biot modulus,KgAnd KsRespectively represent the bulk modulus of gas and solid particle; VLAnd PLRespectively represent Lang Gemiaoer volume and Lang Gemiaoer pressure;ρrRepresent shale density;T is the time;BgIt is formation volume system Number;QpFor source sink term;kaIt indicates to consider the apparent permeability that shale gas is slipped with transition flow;MgFor molecular weight gas;T is gas Temperature;R is gas molar constant.
5. shale gas reservoir man-made fracture parameter preferred method according to claim 3, wherein the shale pore media Deformation equation indicates are as follows:
Wherein, u is displacement field;G is modulus of shearing;ν is Poisson's ratio;αBFor Biot coefficient;For plane problem [m]=[1,1, 0], for three-dimensional problem [m]=[1,1,1,0,0,0];M (p) is pseudopressure;F is body force;μ is fluid viscosity;Z is gas Compressibility factor.
6. shale gas reservoir man-made fracture parameter preferred method according to claim 3, wherein fluid stream in the crack Dynamic continuity equation indicates are as follows:
Wherein, SfFor crack packing coefficient;W is fracture width;V is fluid along crack boundary movement velocity;For along fracture surface Tangential divergence;P is pore pressure;ρgFor for fluid density;T is the time.
7. shale gas reservoir man-made fracture parameter preferred method according to claim 1, wherein calculate production capacity after the pressure The shale gas production capacity of model includes:
1) based on the flow deformation coupling side in the boundary and primary condition, the matrix and crack for stitching pessimistic concurrency control after the pressure Journey obtains initial displacement field before carrying out incremental time calculating;
2) it is based on initial pressure field, the displacement field and pressure field calculated in each loop iteration step is obtained according to the displacement field Seep parameter and fracture permeabgility in the hole for obtaining pore media;
3) pressure difference before and after loop iteration, if being unsatisfactory for the limits of error, repeatedly step 2) -3 are compared), it is otherwise, defeated Cell node pressure and Gauss point stress out calculate the shale gas production capacity;
4) judge calculate total time whether reach scheduled total time, if having reached scheduled total time, directly terminate to count It calculates, otherwise, goes successively to next incremental time and calculated, repeat step 2) -4).
8. shale gas reservoir man-made fracture parameter preferred method according to claim 1, wherein the man-made fracture parameter It include: crack cluster spacing, grade spacing, half long, major fracture flow conductivity and secondary fracture flow conductivity.
9. a kind of shale gas reservoir man-made fracture parameter optimum decision system, which is characterized in that the system comprises:
Memory is stored thereon with computer executable instructions;
Processor, the processor execute following steps when executing the computer executable instructions on the memory:
Pessimistic concurrency control is stitched after establishing shale gas reservoir pressure;
Determine the flow deformation coupled wave equation in matrix and crack;
Establish productivity model after shale gas horizontal well pressure;
The shale gas production capacity for calculating productivity model after the pressure, turns to the preferred man-made fracture parameter of principle with production capacity maximum.
10. shale gas reservoir man-made fracture parameter optimum decision system according to claim 9, wherein the matrix and crack Interior flow deformation coupled wave equation includes: in shale Medium Culture gas flow equation, shale pore media deformation equation and crack Fluid flows continuity equation.
CN201710807067.XA 2017-09-08 2017-09-08 Shale gas reservoir man-made fracture parameter preferred method and system Pending CN109472037A (en)

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Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110080725A (en) * 2019-06-05 2019-08-02 东北石油大学 The coal seam pulsation optimal construction frequency determination methods of pressure break
CN110321648A (en) * 2019-07-10 2019-10-11 西南石油大学 A kind of determining shale porous media returns the calculation method of row's length
CN110750930A (en) * 2019-10-17 2020-02-04 西南石油大学 Method for predicting fractured reservoir stress evolution based on fractured continuum model
CN110863810A (en) * 2019-11-21 2020-03-06 西南石油大学 Integrated simulation method for coupling shale gas reservoir hydraulic fracturing flowback production process
CN111339671A (en) * 2020-02-28 2020-06-26 西安石油大学 Shale reservoir bidirectional flow-solid coupling numerical calculation method
CN111814318A (en) * 2020-06-22 2020-10-23 中国石油大学(华东) Staged fracturing fracture parameter design method for tight reservoir horizontal well
CN113107449A (en) * 2021-04-25 2021-07-13 西南石油大学 Method and device for determining fracturing parameters of shale reservoir multi-stage fractured horizontal well
CN113868824A (en) * 2020-06-30 2021-12-31 中国石油化工股份有限公司 Prediction method and system for shale gas pressure post-transformation seam network
CN114021466A (en) * 2021-11-10 2022-02-08 西南石油大学 Shale gas effective gap net volume prediction method based on flowback data and machine learning
CN114239308A (en) * 2021-12-24 2022-03-25 西南石油大学 Multi-scale high-density fracturing parameter optimization method
CN114718540A (en) * 2021-01-04 2022-07-08 中国石油化工股份有限公司 System and method for enhancing efficient development of shale gas
CN117633409A (en) * 2024-01-25 2024-03-01 中国科学院地质与地球物理研究所 Method, system and equipment for calculating shale oil and gas reservoir fracture network seepage parameters
CN117744541A (en) * 2024-02-21 2024-03-22 中国石油大学(华东) Shale permeability solving method based on microscale fluid-solid coupling scale upgrading

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105201484A (en) * 2015-10-29 2015-12-30 西南石油大学 Vertical well separate layer fracturing interval optimization and construction parameter optimization designing method
CN105201479A (en) * 2015-10-09 2015-12-30 西南石油大学 Optimum design method for staged fracturing perforation cluster parameters of horizontal well of shale reservoir
US20160265331A1 (en) * 2011-11-04 2016-09-15 Schlumberger Technology Corporation Modeling of interaction of hydraulic fractures in complex fracture networks
CN106354918A (en) * 2016-08-26 2017-01-25 中国科学院力学研究所 Construction method of numerical simulation of fluid-solid coupling in hydraulic fracturing

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160265331A1 (en) * 2011-11-04 2016-09-15 Schlumberger Technology Corporation Modeling of interaction of hydraulic fractures in complex fracture networks
CN105201479A (en) * 2015-10-09 2015-12-30 西南石油大学 Optimum design method for staged fracturing perforation cluster parameters of horizontal well of shale reservoir
CN105201484A (en) * 2015-10-29 2015-12-30 西南石油大学 Vertical well separate layer fracturing interval optimization and construction parameter optimization designing method
CN106354918A (en) * 2016-08-26 2017-01-25 中国科学院力学研究所 Construction method of numerical simulation of fluid-solid coupling in hydraulic fracturing

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
XIN FAN 等: "Analysis of a fully coupled gas flow and deformation process infractured shale gas reservoirs", 《JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING》 *
范鑫 等: "考虑流固耦合效应的页岩气储层人工裂缝参数优选", 《油气成藏理论与勘探开发技术(九)—— 2016年博士后学术论坛文集》 *
范鑫: "页岩基质流固耦合数值模拟与人工裂缝参数优化研究", 《中国优秀博士学位论文全文数据库》 *

Cited By (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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