CN109283580B - A kind of carbonate reservoir physical model selection method - Google Patents
A kind of carbonate reservoir physical model selection method Download PDFInfo
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- CN109283580B CN109283580B CN201811361493.6A CN201811361493A CN109283580B CN 109283580 B CN109283580 B CN 109283580B CN 201811361493 A CN201811361493 A CN 201811361493A CN 109283580 B CN109283580 B CN 109283580B
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- BVKZGUZCCUSVTD-UHFFFAOYSA-L Carbonate Chemical compound [O-]C([O-])=O BVKZGUZCCUSVTD-UHFFFAOYSA-L 0.000 title claims abstract description 81
- 238000010187 selection method Methods 0.000 title claims abstract description 16
- 238000012360 testing method Methods 0.000 claims abstract description 42
- 230000035699 permeability Effects 0.000 claims abstract description 11
- 238000000034 method Methods 0.000 claims abstract description 10
- 238000013031 physical testing Methods 0.000 claims abstract description 4
- 239000006185 dispersion Substances 0.000 claims description 13
- 230000008859 change Effects 0.000 claims description 6
- 238000004088 simulation Methods 0.000 claims description 5
- 239000000463 material Substances 0.000 claims description 4
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims description 2
- 229910052799 carbon Inorganic materials 0.000 claims description 2
- 239000011435 rock Substances 0.000 abstract description 21
- 238000013459 approach Methods 0.000 abstract description 2
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 229910000514 dolomite Inorganic materials 0.000 description 6
- 239000010459 dolomite Substances 0.000 description 6
- 239000011159 matrix material Substances 0.000 description 5
- 238000011161 development Methods 0.000 description 3
- 239000012530 fluid Substances 0.000 description 3
- 239000000523 sample Substances 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 235000013399 edible fruits Nutrition 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 239000006101 laboratory sample Substances 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 230000000704 physical effect Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 239000007787 solid Substances 0.000 description 2
- 239000004575 stone Substances 0.000 description 2
- 208000035126 Facies Diseases 0.000 description 1
- DHNCFAWJNPJGHS-UHFFFAOYSA-J [C+4].[O-]C([O-])=O.[O-]C([O-])=O Chemical compound [C+4].[O-]C([O-])=O.[O-]C([O-])=O DHNCFAWJNPJGHS-UHFFFAOYSA-J 0.000 description 1
- 238000005452 bending Methods 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
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- 150000001875 compounds Chemical class 0.000 description 1
- 238000009795 derivation Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000001764 infiltration Methods 0.000 description 1
- 230000008595 infiltration Effects 0.000 description 1
- 238000002347 injection Methods 0.000 description 1
- 239000007924 injection Substances 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. for interpretation or for event detection
- G01V1/30—Analysis
- G01V1/306—Analysis for determining physical properties of the subsurface, e.g. impedance, porosity or attenuation profiles
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/62—Physical property of subsurface
- G01V2210/624—Reservoir parameters
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Abstract
The present invention provides a kind of carbonate reservoir physical model selection method, method includes: that each two-phase media model is carried out to physical analogy test under different frequency scope and different permeabilities first, obtains the first test result；Then physical testing is carried out to carbonate reservoir, obtains the second test result, and according to the second test result, divide to the Reservoir levels of carbonate reservoir；The best two-phase media model of carbonate reservoir is finally selected according to the first test result and Reservoir levels.The beneficial effects of the present invention are: giving carbonate reservoir petrophysical model selection approach by the Reservoir type of carbonate reservoir, the selection method of different frequency range different type reservoir rock physical model is optimized.
Description
Technical field
The present invention relates to geological exploration field more particularly to a kind of carbonate reservoir physical model selection methods.
Background technique
With oil-gas geology, the maturation of the development of geophysical exploration technology and oil-gas field development technology, reservoirs exploration and
Development object gradually expands to increasingly complex lithologic reservoir from conventional reservoir.Reservoir type diversification, so that numerical reservoir mould
Quasi- difficulty increasingly increases.Subsurface rock, which is used as, forms two-phase media by porous media rock solid matrix and pore-fluid, contains
Multi mineral component, different shape size hole and hole in the fluid of different nature that fills, the spy with heterogeneity
Point；The dry skeleton of the rock being made of Rock Matrix and hole can be for wavelength homogeneous be also possible to it is heterogeneous
, when elastic wave is propagated in porous two-phase media, it can make fluid and solid that relative motion occur, cause porous two-phase media
Macroscopic physical property change, so as to cause the dissipation and decaying of elastic wave energy.Therefore, in oil exploration and exploitation
Each stage, the petrophysical property for needing that suitable petrophysical model is selected preferably to simulate reservoir.
Gu existing part stream-two-phase media petrophysical model is applied in reservoir physical analogy at present, these models are suitable
It is big with property condition difference and derivation process is complicated, for heterogeneous strong carbonate formation, different interval rock physics
The difference of matter, which results in, selects the petrophysical model for more meeting practical characteristics of reservoir to become extremely difficult；In addition, different
The sound wave frequency dispersion and decay characteristics of frequency have important influence to the validity of reservoir prediction, are applying different frequency range earth object
Reason, experiment test data (seismic data 101~102Hz；Well-log information is 104Hz；Ultrasonic tesint data is 105~107Hz)
It is preferably very difficult with the petrophysical model of frequency dependence during carrying out reservoir rock physical analogy.
Summary of the invention
To solve the above-mentioned problems, the present invention provides a kind of carbonate reservoir physical model selection method, a kind of carbon
Carbonate Reservoir physical model selection method, mainly comprises the steps that
S101: by physical model respectively to be selected under different geophysical information frequency ranges and different reservoir classification into
Row carbonate reservoir physical analogy test, obtains the first test result；
S102: physical testing is carried out to target carbonate reservoir, obtains the second test result；And it is tied according to the second test
Fruit divides the Reservoir levels of target carbonate reservoir, obtains the affiliated Reservoir levels of target carbonate reservoir；
S103: according to the purposes of selection petrophysical model, earth object used in carbonate reservoir physical analogy is selected
The frequency range of reason data；
S104: according to the first test result, the affiliated Reservoir levels of combining target carbonate reservoir and selected earth object
The frequency range of reason data selects the optimum physical model of target carbonate reservoir from physical model respectively to be selected；
S105: using the optimum physical model as the final physical model of target carbonate reservoir.
Further, in step S101, the first test result includes: physical model respectively to be selected in different geophysicses
Sound wave dispersion curve and decay characteristics curve under the frequency range and different type carbonate reservoir of data；The sound wave frequency
Non-dramatic song line is velocity of longitudinal wave curve varying with frequency, and the decay characteristics curve is that quality factor inverse changes with frequency
Curve.
Further, in step S102, the second test result includes: intermediate value venturi width x and permeability y；According to second
Test result, the method that the Reservoir levels of target carbonate reservoir are divided are as follows:
S201: as condition x >=2, when y >=10 is set up, target Types of Carbonate Reservoir is I class；
S202: as condition 2 > x >=0.5, when 10 > y >=0.1 is set up, target Types of Carbonate Reservoir is II class；
S203: as condition 0.5 > x >=0.05, when 0.1 > y >=0.001 is set up, target Types of Carbonate Reservoir is III class；
S204: as condition x < 0.5, when y < 0.001 is set up, target Types of Carbonate Reservoir is IV class.
Further, in step S103, geophysical information includes: seismic data, well-log information and ultrasonic tesint data；
The frequency range of each geophysical information is as follows: seismic data 101~102Hz；Well-log information is 104Hz；Ultrasonic tesint data
It is 105~107Hz；For the physical model of laboratory data simulation, ultrasonic tesint data is selected；It is explained for seismic region
Physical model selects seismic data；For the physical model for individual well explanation of logging well, well-log information is selected.
Further, in step S104, according to the first test result, respectively wait select to select aim carbon in physical model
The optimum physical model of Carbonate Reservoir method particularly includes: according to the first test result, obtain vertical in sound wave dispersion curve
The change rate v of quality factor inverse in wave velocity change rate w and decay characteristics curve, is stored up according to belonging to target carbonate reservoir
Layer classification selects the corresponding physical model of maximum w and v for best object in the frequency range of selected geophysical information
Manage model.
Technical solution provided by the invention has the benefit that for carbonate reservoir heterogeneity bring rock
Stone physical model selects difficult point, is tested by physical analogy, gives carbonate rock storage by the Reservoir type of carbonate reservoir
Layer petrophysical model selection approach；According to physical analogy test result, different frequency range different type reservoir rock object is optimized
Manage model selection method, reduce because using geophysical information frequency range different band come RESERVOIR INTERPRETATION error so that in oil
Each stage of gas exploration and exploitation can select more to meet practical characteristics of reservoir petrophysical model the most suitable
The preferably petrophysical property of simulation reservoir.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples, in attached drawing:
Fig. 1 is a kind of flow chart of carbonate reservoir physical model selection method in the embodiment of the present invention；
Fig. 2 is that fine grain dolomite at different frequencies show by BISQ model physical analogy prediction result in the embodiment of the present invention
It is intended to；
Fig. 3 is that the physical analogy of Biot-Gassmann model is pre- at different frequencies for fine grain dolomite in the embodiment of the present invention
Survey the schematic diagram of result；
Fig. 4 is fine grain dolomite White model physical analogy prediction result at different frequencies in the embodiment of the present invention
Schematic diagram.
Specific embodiment
For a clearer understanding of the technical characteristics, objects and effects of the present invention, now control attached drawing is described in detail
A specific embodiment of the invention.
The embodiment provides a kind of carbonate reservoir physical model selection method, equipment and storage equipment.
Referring to FIG. 1, Fig. 1 is a kind of process of carbonate reservoir physical model selection method in the embodiment of the present invention
Figure, specifically comprises the following steps:
S101: by physical model respectively to be selected under different geophysical information frequency ranges and different reservoir classification into
Row carbonate reservoir physical analogy test, obtains the first test result；
S102: physical testing is carried out to target carbonate reservoir, obtains the second test result；And it is tied according to the second test
Fruit divides the Reservoir levels of target carbonate reservoir, obtains the affiliated Reservoir levels of target carbonate reservoir；
S103: according to the purposes of selection petrophysical model, earth object used in carbonate reservoir physical analogy is selected
The frequency range of reason data；
S104: according to the first test result, the affiliated Reservoir levels of combining target carbonate reservoir and selected earth object
The frequency range of reason data selects the optimum physical model of target carbonate reservoir from physical model respectively to be selected；
S105: using the optimum physical model as the final physical model of target carbonate reservoir.
In step S101, the first test result includes: the frequency of physical model respectively to be selected in different geophysical informations
Sound wave dispersion curve and decay characteristics curve under rate range and different type carbonate reservoir；The sound wave dispersion curve is
For velocity of longitudinal wave curve varying with frequency, the decay characteristics curve is quality factor curve varying with frequency reciprocal.
In step S102, the second test result includes: intermediate value venturi width x and permeability y；According to the second test result,
The method that the Reservoir levels of target carbonate reservoir are divided are as follows:
S201: as condition x >=2, when y >=10 is set up, target Types of Carbonate Reservoir is I class；
S202: as condition 2 > x >=0.5, when 10 > y >=0.1 is set up, target Types of Carbonate Reservoir is II class；
S203: as condition 0.5 > x >=0.05, when 0.1 > y >=0.001 is set up, target Types of Carbonate Reservoir is III class；
S204: as condition x < 0.5, when y < 0.001 is set up, target Types of Carbonate Reservoir is IV class.
In step S103, geophysical information includes: seismic data, well-log information and ultrasonic tesint data；Each earth object
The frequency range of reason data is as follows: seismic data 101~102Hz；Well-log information is 104Hz；Ultrasonic tesint data is 105~
107Hz；For the physical model of laboratory data simulation, ultrasonic tesint data is selected；The physics mould explained for seismic region
Type selects seismic data；For the physical model for individual well explanation of logging well, well-log information is selected.
In step S104, according to the first test result, respectively wait select to select the storage of target carbonate rock in physical model
The optimum physical model of layer method particularly includes: according to the first test result, the velocity of longitudinal wave obtained in sound wave dispersion curve becomes
The change rate v of quality factor inverse in rate w and decay characteristics curve, according to the affiliated Reservoir levels of target carbonate reservoir,
In the frequency range of selected geophysical information, select the corresponding physical model of maximum w and v for optimum physical model.
Full physical characterization data, well-log information, compound logging data are seeped according to the core description of Marine Carbonate Rocks reservoir, hole
Reservoir evaluation, Northeast Sichuan area Marine Facies Carbonate Reservoir are often shown in Table 1 with evaluation criterion.It is permeated according to different type reservoir
Rate, the porosity for the Northeast Sichuan area Marine Carbonate Rocks drill cores fine grain dolomite sample for being B-1 according to number permeate
The basic parameters such as rate, density data (table 2), and the Rock Matrix bulk modulus (table 3) calculated using XRD mineralogical composition are right
Compare BISQ model, Biot-Gassmann model and patch saturation White model and calculates the storage of different type carbonate rock in simulation
Layer is 101~107The frequency dispersion and decay characteristics of Hz frequency range velocity of longitudinal wave.Wherein reflect blowhole bending degree tortuosity because
Son is a kind of pure geometrical factor, the pore system containing any possible distribution can value be 3, it is related with rock matrix particle
Feature injection stream length takes 1mm, and bubble diameter takes 8.3cm and 16.6cm respectively inside and outside patchy saturation.
1 Northeast Sichuan area Marine Carbonate Rocks reservoir classification chart of table
The basic parameters such as 2 laboratory sample hole of table, infiltration, close
| Sample number into spectrum | Lithology | Porosity % | Permeability mD | Skeletal density g/cm3 |
| B-1 | Fine grain dolomite | 13.6 | 2.7587 | 2.45 |
3 laboratory sample total rock XRD mineralogical composition of table and matrix volume modulus
Physical analogy test is carried out to B-1 sample fine grain dolomite, obtained test result, can be with as shown in Fig. 2 to Fig. 4
Find out: Biot-Gassmann model frequency dispersion and attenuation effect only frequency field (10 narrow near critical frequency4~107Hz)
It changes；BISQ model can predict that frequency dispersion and decaying effective frequency range are wide by (101~107Hz)；It White model frequency dispersion and declines
Reduction should be concentrated mainly on (10 near low-frequency range1~102Hz).In different type carbonate reservoir, across the frequency range earth is utilized
Physics, experiment test data (seismic data 101~102Hz, well-log information 104Hz and ultrasonic tesint data 105~107Hz) carry out
When reservoir rock physical analogy, the selection of two-phase media model is as follows:
If target carbonate reservoir generic is III class, data used is to optimal when according to selection physical model
Model is selected, specifically: when utilizing seismic data, select BISQ model；When using well-log information, BISQ model is selected；
When using ultrasonic tesint data, Biot-Gassmann model is selected.
If target carbonate reservoir generic is II class, money used when according to permeability and selection physical model
Material selects optimal models, specifically: when permeability is in 0.1mD~1mD, BISQ mould should be selected using seismic data
Type when using well-log information, should select BISQ model, when using ultrasonic tesint data, should select Biot-Gassmann model；
When permeability is in 1mD~10mD, White model should be selected using seismic data, when using well-log information, BISQ mould should be selected
Type should select Biot-Gassmann model when using ultrasonic tesint data.
Data used when if target carbonate reservoir generic being I class according to permeability and selection physical model
Optimal models are selected, specifically: when utilizing earthquake acoustic logging data, White model should be selected；Utilize well logging sound wave data
When, when permeability is less than 100Md, BISQ model is selected, when permeability is more than or equal to 100mD, selects Biot-
Gassmann model；When using ultrasonic tesint data, choose any one kind of them in Biot-Gassmann model and BISQ model.
The beneficial effects of the present invention are: difficult for the selection of carbonate reservoir heterogeneity bring petrophysical model
Point, is tested by physical analogy, gives the choosing of carbonate reservoir petrophysical model by the Reservoir type of carbonate reservoir
Select means；According to physical analogy test result, the selection method of different frequency range different type reservoir rock physical model is optimized,
Reduce because using geophysical information frequency range different band come RESERVOIR INTERPRETATION error so that in each of oil exploration and exploitation
Stage can select more to meet the rock that practical characteristics of reservoir petrophysical model the most suitable preferably simulates reservoir
Stone physical property.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (4)
1. a kind of carbonate reservoir physical model selection method, it is characterised in that: the following steps are included:
S101: physical model respectively to be selected is subjected to carbon under different geophysical information frequency ranges and different reservoir classification
Carbonate Reservoir physical analogy test, obtains the first test result；
S102: physical testing is carried out to target carbonate reservoir, obtains the second test result；And according to the second test result,
The Reservoir levels of target carbonate reservoir are divided, the affiliated Reservoir levels of target carbonate reservoir are obtained；
S103: according to the purposes of selection petrophysical model, the money of geophysics used in carbonate reservoir physical analogy is selected
The frequency range of material；
S104: according to the first test result, the affiliated Reservoir levels of combining target carbonate reservoir and selected geophysics money
The frequency range of material selects the optimum physical model of target carbonate reservoir from physical model respectively to be selected；
S105: using the optimum physical model as the final physical model of target carbonate reservoir；
In step S101, the first test result includes: the frequency model of physical model respectively to be selected in different geophysical informations
It encloses and the sound wave dispersion curve and decay characteristics curve under different type carbonate reservoir；The sound wave dispersion curve is vertical
Wave velocity curve varying with frequency, the decay characteristics curve are quality factor curve varying with frequency reciprocal；
In step S102, the second test result includes: intermediate value venturi width x and permeability y.
2. a kind of carbonate reservoir physical model selection method as described in claim 1, it is characterised in that: step S102
In, according to the second test result, the method that the Reservoir levels of target carbonate reservoir are divided are as follows:
S201: as condition x >=2, when y >=10 is set up, target Types of Carbonate Reservoir is I class；
S202: as condition 2 > x >=0.5, when 10 > y >=0.1 is set up, target Types of Carbonate Reservoir is II class；
S203: as condition 0.5 > x >=0.05, when 0.1 > y >=0.001 is set up, target Types of Carbonate Reservoir is III class；
S204: as condition x < 0.5, when y < 0.001 is set up, target Types of Carbonate Reservoir is IV class.
3. a kind of carbonate reservoir physical model selection method as described in claim 1, it is characterised in that: step S103
In, geophysical information includes: seismic data, well-log information and ultrasonic tesint data；The frequency range of each geophysical information
It is as follows: seismic data 101~102Hz；Well-log information is 104Hz；Ultrasonic tesint data is 105~107Hz；For testing the number of chambers
According to the physical model of simulation, ultrasonic tesint data is selected；For the physical model that seismic region is explained, seismic data is selected；With
In the physical model that well logging individual well is explained, well-log information is selected.
4. a kind of carbonate reservoir physical model selection method as described in claim 1, it is characterised in that: step S104
In, according to the first test result, in the optimum physical model respectively wait select to select target carbonate reservoir in physical model
Method particularly includes: according to the first test result, obtain the velocity of longitudinal wave change rate w and decay characteristics song in sound wave dispersion curve
The change rate v of quality factor inverse in line is provided according to the affiliated Reservoir levels of target carbonate reservoir in selected geophysics
In the frequency range of material, select the corresponding physical model of maximum w and v for optimum physical model.
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