CN109540765A - A kind of hole infiltration parameter prediction method based on the micro- CT image of rock core - Google Patents
A kind of hole infiltration parameter prediction method based on the micro- CT image of rock core Download PDFInfo
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- 239000011435 rock Substances 0.000 title claims abstract description 46
- 238000000034 method Methods 0.000 title claims abstract description 34
- 238000001764 infiltration Methods 0.000 title description 2
- 230000008595 infiltration Effects 0.000 title description 2
- 230000035699 permeability Effects 0.000 claims abstract description 28
- 238000004088 simulation Methods 0.000 claims abstract description 16
- 239000011148 porous material Substances 0.000 claims abstract description 6
- 239000004519 grease Substances 0.000 claims description 4
- 238000001914 filtration Methods 0.000 claims description 2
- 238000012545 processing Methods 0.000 claims description 2
- 238000004364 calculation method Methods 0.000 claims 1
- 238000005266 casting Methods 0.000 claims 1
- 239000000284 extract Substances 0.000 claims 1
- 230000000052 comparative effect Effects 0.000 abstract description 2
- 238000009533 lab test Methods 0.000 abstract description 2
- 238000012360 testing method Methods 0.000 abstract description 2
- 239000003921 oil Substances 0.000 description 8
- 239000012530 fluid Substances 0.000 description 6
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 5
- 238000011161 development Methods 0.000 description 2
- 230000018109 developmental process Effects 0.000 description 2
- 238000006073 displacement reaction Methods 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 239000004215 Carbon black (E152) Substances 0.000 description 1
- BVKZGUZCCUSVTD-UHFFFAOYSA-L Carbonate Chemical compound [O-]C([O-])=O BVKZGUZCCUSVTD-UHFFFAOYSA-L 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- XUIMIQQOPSSXEZ-UHFFFAOYSA-N Silicon Chemical compound [Si] XUIMIQQOPSSXEZ-UHFFFAOYSA-N 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000012512 characterization method Methods 0.000 description 1
- 238000002591 computed tomography Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 229930195733 hydrocarbon Natural products 0.000 description 1
- 150000002430 hydrocarbons Chemical class 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 208000037805 labour Diseases 0.000 description 1
- 238000004215 lattice model Methods 0.000 description 1
- 238000005192 partition Methods 0.000 description 1
- 239000003208 petroleum Substances 0.000 description 1
- 229920006395 saturated elastomer Polymers 0.000 description 1
- 238000009738 saturating Methods 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
- 229910052710 silicon Inorganic materials 0.000 description 1
- 239000010703 silicon Substances 0.000 description 1
- 241000894007 species Species 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
- 230000005514 two-phase flow Effects 0.000 description 1
- 238000009736 wetting Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/08—Investigating permeability, pore-volume, or surface area of porous materials
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/08—Investigating permeability, pore-volume, or surface area of porous materials
- G01N15/088—Investigating volume, surface area, size or distribution of pores; Porosimetry
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/08—Investigating permeability, pore-volume, or surface area of porous materials
- G01N2015/0846—Investigating permeability, pore-volume, or surface area of porous materials by use of radiation, e.g. transmitted or reflected light
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- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigation Of Foundation Soil And Reinforcement Of Foundation Soil By Compacting Or Drainage (AREA)
Abstract
The invention discloses a kind of, and parameter prediction method is seeped in the hole based on the micro- CT image of rock core.This method is based on the micro- CT image of rock core, generate the surface mesh and volume mesh of rock core pore structure respectively by Mimics and ICEM software, to establish micron order hole unstructured grid model, and be conducted into Fluent software and carry out micro flow numerical simulation, it obtains and coincide preferable porosity, permeability and permeability saturation curve data with experimental result.This method is at low cost compared with traditional core laboratory experiment, and the test period is short, and can use grid model generated and carry out comparative simulation experiment.
Description
Technical field
The present invention relates to petroleum works fields more particularly to a kind of hole based on the micro- CT image of rock core to seep parameter prediction side
Method.
Background technique
Porosity, permeability and the relative permeability of rock are to determine the key physical ginseng of oil reservoir development scheme and production capacity
Number, and the pore structure characteristic of these parameters and rock is closely related.The present invention is based on the micro- CT images of rock, in conjunction with Mimics weight
Structure software and ICEM grid dividing software propose and a kind of the micro- CT image of core three-dimensional are converted to unstructured grid model
Modeling method, and the single-phase and water-oil phase microscopic seepage process in model is simulated using Fluent software, obtain hole
The parameters such as degree, permeability and permeability saturation curve seep parameter prediction for rock pore and provide a kind of new method.
Summary of the invention
It is an object of the invention to combine the micro- CT image of rock core, Mimics and ICEM software building hole unstructured grid
Model, and microcosmic single-phase and oil-water two-phase flow numerical simulation is carried out using Fluent software based on reconstruction model, to obtain rock
The parameters such as heart porosity, permeability and permeability saturation curve.
In order to achieve the above object, the present invention is implemented as follows:
(1) based on the micro- CT image of rock core, hole is extracted using image processing techniques such as filtering, segmentations, is passed through
Mimics and ICEM Software Create hole unstructured grid model.
(2) by statistics hole unstructured grid model volume, core porosity is acquired.
(3) based on the hole grid model of above-mentioned acquisition, carry out single-phase and grease in hole using Fluent software
Two phase fluid flow numerical simulation, difference prediction model permeability and permeability saturation curve.
Compared with prior art, benefit of the invention is that:
1. can be used for the unstructured grid model of numerical value calculating based on the micro- CT picture construction of rock core, the model is preferably
The rock labyrinth feature for presenting the micro- CT image of original rock core, meets requirement of the finite element software to mesh quality.
2. few based on the experiment capital investment of reconstruction model Numerical Simulation of Seepage compared with traditional rock core laboratory experiment, experiment
Period is short, and can carry out the comparative test under different operating conditions on same model.
Detailed description of the invention
In order to illustrate more clearly of the technical solution of the method for the present invention, with reference to the accompanying drawings and detailed description to this Shen
Please embodiment be described further.
Fig. 1 is the application method implementation flow chart.
Fig. 2 is the original micro- CT image of rock core used by this method.
Fig. 3 is hole unstructured grid model.
Fig. 4 is hole unstructured grid model degree of skewness distribution map.
Fig. 5 is the setting of numerical simulation boundary condition.
Fig. 6 is rock sample S2-1 single-phase flow analog result, and (a) is velocity field cloud atlas, (b) is pressure field cloud atlas.
Fig. 7 be rock sample S1 water-oil phase flow field simulation oil saturation cloud atlas, (a) 5 time step, (b) 22 time step, (c) 40
Time step, (d) 60 time step.
Fig. 8 is that the permeability saturation curve that numerical simulation acquires and experimental result compare.
Specific embodiment
In order to make the present invention realize technological means, reach purpose and model efficacy ease of explanation, below with reference to specific reality
Applying details and attached drawing, the present invention is further illustrated.It should be noted that described embodiment is only the application part
Embodiment is not whole embodiments.Based on the present processes, other researchers, technical staff of this field are not having
The every other embodiment obtained under the premise of other innovative labors all should be the application protection scope.
Fig. 1 is the flow chart that parameter prediction embodiment of the method is seeped in a kind of hole based on the micro- CT image of rock core of the application, including
Following steps.
S1: being illustrated in figure 2 the micro- CT scan image of the original rock core used in the present embodiment, and rock sample as shown in the figure is sandstone
(S2-2), remaining rock sample further include: Berea sandstone (B1), sandstone (S1), sandstone (S2-1), synthesis silicon (SS) and carbonate rock
(C2).The micro- CT image of rock core used by the embodiment of the present invention mainly passes through Southwest Petrol University's hydrocarbon reservoirs and Development Engineering
The Zeiss Xradia MicroXCT-400 microscopic imaging systems of National Key Laboratory, which scan, to be obtained.
S2: importing Mimics software for the micro- CT image of rock core, generates gore grid in model surface.
S3: the veil lattice model of generation is imported into ICEM software, surface grids ingrowing is made to complete the generation of volume mesh.?
In the partition process of volume mesh, using contraction-expansion algorithm, the production rate of volume mesh is improved, is rejected in (filling) model
Sharp protrusion (slit), hole unstructured grid model generated are as shown in Figure 3.
S4: in ICEM software, by counting the volume of hole grid model, model porosity is acquired using formula (1-1).
Wherein, VpFor hole grid model volume, VtFor hole and skeleton total volume, L is grid model side length.
S5: boundary condition is applied to grid model in Fluent software.In single-phase flow simulation process, setting model is
Inlet and outlet pressure boundary condition, by taking the direction z as an example (Fig. 5), model upper and lower surface is respectively set to pressure inlets and pressure export
Boundary, remaining surface are set as impermeable boundary.Assuming that fluid is the laminar flow that property is kept constant, repaired using SIMPLEC pressure
Positve term keeps the relaxation factor of default.This simulates the influence for not considering temperature, and temperature keeps 273K constant in simulation process.
Then carry out single-phase flow numerical simulation, it is to be calculated reach convergence after, obtain rate of discharge, model can be acquired using formula (1-2)
Permeability:
Wherein, QiFor mold exit flow, A is mold exit sectional area, and Δ p is model inlet and outlet pressure gradient.
By changing boundary condition, simulate fluid respectively along the flowing in x, y, z direction, calculate separately to obtain model along x, y,
The permeability in the direction z, wherein kzThe permeability of representative model in the z-direction.Table 1 give unstructured grid model permeability with
The comparison of experimental data.As known from Table 1, model Permeability Prediction value and experimental data have a different, this species diversity be by
It is original big core permeability in experimental data and the permeability of model prediction is small size core permeability.Therefore, the deviation
It is in acceptable range.
1 model permeability data of table and experimental data
In addition, it can be seen that pore-fluid pressure from the pressure cloud atlas and speed cloud atlas (Fig. 6) of the single-phase flow field simulation of rock sample S1
The main thoroughfare that the uneven distribution and fluid in the field of force flow through.
S6: based in Fluent software VOF model carry out water drive oil numerical simulation, the initial saturated oils of model, into
Water is injected at mouthful to simulate the process of water drive oil.Apply the barometric gradient of 5MPa/m in model upper and lower surface, lap is not permeable
Saturating boundary.Grease physical parameter, surface tension and the contact angle used in simulation process is shown in Table 2.By the way that different contacts is arranged
The characterization of rock sample different wetting is realized at angle.
2 grease physical parameter of table
5th, 22,40, the model oleaginous saturation degree cloud atlas of 60 time steps it is as shown in Figure 7.It is every in simulation process by extracting
The rate of discharge of the oil saturation of a time step and each phase fluid obtains the microcosmic water drive of model in conjunction with formula (1-3) and (1-4)
The permeability saturation curve of oily process, as shown in Figure 8.
si=αi (1-4)
Wherein S0 be the displacement of primitive rock intra-ventricle as a result, S1, S2-1, S2-2 respectively correspond hygroscopicity, mixed wettability and
Oil-wet rock sample.Original rock sample is identical with model S2-1 wetability, is mixed wettability.From permeability saturation curve it is found that
The permeability saturation curve and primitive rock intra-ventricle displacement result S0 of model S2-1 coincide preferably, demonstrates the phase of the application proposition
To the reasonability of permeability curve prediction technique.
Embodiment described above is only section Example of the invention, and basic principle for describing the present invention implements mesh
And process, be not intended to limit use scope of the invention.Embodiment of above is done according to the technical essence of the invention
Any modification, equivalent variations and modification, belong in the range of technical solution of the present invention.
Claims (7)
1. parameter prediction method is seeped in a kind of hole based on the micro- CT image of rock core, which is characterized in that this method comprises:
(1) unstructured grid model is rebuild based on the micro- CT image of rock core；
(2) core porosity is obtained by the volume of statistics pore model；
(3) using Fluent software as numerical value computing platform, the simulation of single-phase and water-oil phase microscopic seepage is realized respectively, obtains rock core
Permeability and permeability saturation curve.
2. parameter prediction method is seeped in a kind of hole based on the micro- CT image of rock core described in accordance with the claim 1, it is characterised in that: institute
State in step (1), based on the micro- CT image of rock core, the image such as scanning electron microscope of similar available rock micropore structure and
Rock core casting body flake etc. can also be used as the basic data of reconstruction model.
3. parameter prediction method is seeped in a kind of hole based on the micro- CT image of rock core described in accordance with the claim 1, it is characterised in that: institute
It states in step (1), by the image processing techniques such as filtering, dividing, extracts rock core skeleton and pore structure.
4. parameter prediction method is seeped in a kind of hole based on the micro- CT image of rock core described in accordance with the claim 1, it is characterised in that: institute
It states in step (1), the surface grid model of pore structure is obtained by Mimics software, importing ICEM generation can be used for numerical value meter
The hole unstructured grid model of calculation.
5. parameter prediction method is seeped in a kind of hole based on the micro- CT image of rock core described in accordance with the claim 1, it is characterised in that: institute
It states in step (2), hole unstructured grid model volume is calculated by statistics, predicts core porosity.
6. parameter prediction method is seeped in a kind of hole based on the micro- CT image of rock core described in accordance with the claim 1, it is characterised in that: institute
It states in step (3), based on Fluent software, simulates the single-phase flow in hole unstructured grid model, it is fixed by darcy
Restrain solving model permeability.
7. parameter prediction method is seeped in a kind of hole based on the micro- CT image of rock core described in accordance with the claim 1, it is characterised in that: institute
It states in step (3), based on the VOF model in Fluent software, simulates the grease two in hole unstructured grid model
Xiang Liu passes through analog result solving model permeability saturation curve.
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109946328A (en) * | 2019-04-10 | 2019-06-28 | 中国石油大学(北京) | Fibrous filter Micro-Structure Analysis method and apparatus |
| CN110160932A (en) * | 2019-06-03 | 2019-08-23 | 西南石油大学 | A kind of oil-water relative permeability curve test device and test method |
| CN110609046A (en) * | 2019-10-22 | 2019-12-24 | 西南石油大学 | Capillary force prediction method based on micro-CT water flooding image |
| CN112394072A (en) * | 2020-11-26 | 2021-02-23 | 西安石油大学 | Micro-CT-based core broadband dielectric constant characterization method and device |
| CN113237809A (en) * | 2021-04-16 | 2021-08-10 | 贵州电网有限责任公司 | Composite insulator core rod porosity evaluation method |
| CN113295592A (en) * | 2021-05-20 | 2021-08-24 | 中国石油大学(北京) | Relative permeability determination system and method for low-permeability rock |
| CN113295594A (en) * | 2021-05-20 | 2021-08-24 | 中国石油大学(北京) | System and method for measuring relative permeability based on shunt model and CT scanning |
| CN113916916A (en) * | 2021-09-29 | 2022-01-11 | 西南石油大学 | Simulation method for three-dimensional seepage-particle flow coupling of shale digital core |
| CN114397235A (en) * | 2022-01-17 | 2022-04-26 | 中国矿业大学 | In-situ temperature-pressure two-phase flow analysis method for reconstructing digital core based on porosity |
| CN114428040A (en) * | 2021-09-13 | 2022-05-03 | 中国石油化工股份有限公司 | Quantitative characterization and parameter acquisition method for shale oil reservoir storage and seepage space |
| CN118150441A (en) * | 2024-05-11 | 2024-06-07 | 中国地质大学（北京） | Method for evaluating rock micro-pore structure based on fluid flow characteristics |
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- 2019-01-08 CN CN201910017275.9A patent/CN109540765A/en active Pending
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109946328A (en) * | 2019-04-10 | 2019-06-28 | 中国石油大学(北京) | Fibrous filter Micro-Structure Analysis method and apparatus |
| CN110160932A (en) * | 2019-06-03 | 2019-08-23 | 西南石油大学 | A kind of oil-water relative permeability curve test device and test method |
| CN110160932B (en) * | 2019-06-03 | 2023-12-15 | 西南石油大学 | Oil-water relative permeability curve testing device and testing method |
| CN110609046A (en) * | 2019-10-22 | 2019-12-24 | 西南石油大学 | Capillary force prediction method based on micro-CT water flooding image |
| CN110609046B (en) * | 2019-10-22 | 2022-12-13 | 西南石油大学 | Capillary force prediction method based on micro-CT water flooding image |
| CN112394072A (en) * | 2020-11-26 | 2021-02-23 | 西安石油大学 | Micro-CT-based core broadband dielectric constant characterization method and device |
| CN112394072B (en) * | 2020-11-26 | 2021-10-22 | 西安石油大学 | Micro-CT-based core broadband dielectric constant characterization method and device |
| CN113237809A (en) * | 2021-04-16 | 2021-08-10 | 贵州电网有限责任公司 | Composite insulator core rod porosity evaluation method |
| CN113295594B (en) * | 2021-05-20 | 2022-07-12 | 中国石油大学(北京) | System and method for measuring relative permeability based on shunt model and CT scanning |
| CN113295592B (en) * | 2021-05-20 | 2022-06-07 | 中国石油大学(北京) | Relative permeability determination system and method for low-permeability rock |
| CN113295594A (en) * | 2021-05-20 | 2021-08-24 | 中国石油大学(北京) | System and method for measuring relative permeability based on shunt model and CT scanning |
| CN113295592A (en) * | 2021-05-20 | 2021-08-24 | 中国石油大学(北京) | Relative permeability determination system and method for low-permeability rock |
| CN114428040A (en) * | 2021-09-13 | 2022-05-03 | 中国石油化工股份有限公司 | Quantitative characterization and parameter acquisition method for shale oil reservoir storage and seepage space |
| CN114428040B (en) * | 2021-09-13 | 2022-07-22 | 中国石油化工股份有限公司 | Quantitative characterization and parameter acquisition method for shale oil reservoir storage and seepage space |
| CN113916916A (en) * | 2021-09-29 | 2022-01-11 | 西南石油大学 | Simulation method for three-dimensional seepage-particle flow coupling of shale digital core |
| CN113916916B (en) * | 2021-09-29 | 2024-03-19 | 西南石油大学 | Simulation method for shale digital rock core three-dimensional seepage-particle flow coupling |
| CN114397235A (en) * | 2022-01-17 | 2022-04-26 | 中国矿业大学 | In-situ temperature-pressure two-phase flow analysis method for reconstructing digital core based on porosity |
| CN118150441A (en) * | 2024-05-11 | 2024-06-07 | 中国地质大学（北京） | Method for evaluating rock micro-pore structure based on fluid flow characteristics |
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Application publication date: 20190329 |