CN108825216A - Method for quantitatively evaluating carbonate gas reservoir development potential area - Google Patents
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- BVKZGUZCCUSVTD-UHFFFAOYSA-L Carbonate Chemical compound [O-]C([O-])=O BVKZGUZCCUSVTD-UHFFFAOYSA-L 0.000 title claims abstract description 84
- 238000011161 development Methods 0.000 title claims abstract description 40
- 238000000034 method Methods 0.000 title claims abstract description 34
- 238000011156 evaluation Methods 0.000 claims abstract description 58
- 239000010459 dolomite Substances 0.000 claims abstract description 24
- 229910000514 dolomite Inorganic materials 0.000 claims abstract description 24
- 238000004458 analytical method Methods 0.000 claims abstract description 5
- 239000011435 rock Substances 0.000 claims description 43
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 24
- 238000002347 injection Methods 0.000 claims description 23
- 239000007924 injection Substances 0.000 claims description 23
- 238000010606 normalization Methods 0.000 claims description 11
- 239000012530 fluid Substances 0.000 claims description 9
- 229910052500 inorganic mineral Inorganic materials 0.000 claims description 9
- 239000011707 mineral Substances 0.000 claims description 9
- 230000035699 permeability Effects 0.000 claims description 7
- 238000013316 zoning Methods 0.000 claims description 7
- 230000000694 effects Effects 0.000 claims description 4
- 238000012360 testing method Methods 0.000 claims description 4
- 235000019738 Limestone Nutrition 0.000 claims description 3
- 239000010440 gypsum Substances 0.000 claims description 3
- 229910052602 gypsum Inorganic materials 0.000 claims description 3
- 238000003384 imaging method Methods 0.000 claims description 3
- 239000006028 limestone Substances 0.000 claims description 3
- 238000005070 sampling Methods 0.000 claims description 3
- 210000001311 petrous bone Anatomy 0.000 claims 1
- 230000000704 physical effect Effects 0.000 abstract description 6
- 238000004519 manufacturing process Methods 0.000 abstract description 4
- 238000011158 quantitative evaluation Methods 0.000 abstract description 2
- 238000003556 assay Methods 0.000 abstract 1
- 239000007789 gas Substances 0.000 description 69
- 230000015572 biosynthetic process Effects 0.000 description 6
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 6
- 235000010755 mineral Nutrition 0.000 description 6
- 208000010392 Bone Fractures Diseases 0.000 description 5
- 206010017076 Fracture Diseases 0.000 description 5
- 238000011160 research Methods 0.000 description 4
- 238000003786 synthesis reaction Methods 0.000 description 4
- 239000003345 natural gas Substances 0.000 description 3
- 241000208340 Araliaceae Species 0.000 description 1
- 241000024287 Areas Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- FAPWRFPIFSIZLT-UHFFFAOYSA-M Sodium chloride Chemical compound [Na+].[Cl-] FAPWRFPIFSIZLT-UHFFFAOYSA-M 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- BVKZGUZCCUSVTD-UHFFFAOYSA-N carbonic acid Chemical compound OC(O)=O BVKZGUZCCUSVTD-UHFFFAOYSA-N 0.000 description 1
- 150000004649 carbonic acid derivatives Chemical class 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000013441 quality evaluation Methods 0.000 description 1
- 235000002639 sodium chloride Nutrition 0.000 description 1
- 239000011780 sodium chloride Substances 0.000 description 1
- 239000000243 solution Substances 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
Classifications
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B49/00—Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
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- Environmental & Geological Engineering (AREA)
- Fluid Mechanics (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geochemistry & Mineralogy (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a method for quantitatively evaluating a carbonate gas reservoir development potential area, which comprises the following steps of: 1) determining the thickness of the dolomite; 2) predicting the residual karst strength; 3) calculating and normalizing a comprehensive evaluation index of the reservoir quality; 4) calculating a crack development degree evaluation index and normalizing; 5) determining quantitative evaluation criteria of a carbonate gas reservoir development potential area; 6) and evaluating a carbonate gas reservoir development potential area. The method not only fully considers the influence of dolomite thickness, effective thickness of a reservoir, physical properties and gas content on the development potential area of the carbonate gas reservoir, but also considers the influence of karst development strength and crack development characteristics, effectively determines four indexes of the development potential area of the carbonate gas reservoir by utilizing logging and analysis and assay data, and further quantitatively evaluates the development potential area of the carbonate gas reservoir. The carbonate gas reservoir development potential area evaluated by the method is consistent with the actual production situation of carbonate gas reservoir development.
Description
Technical field
The invention belongs to the comprehensive geology quantitative assessment technical fields in carbonate gas reservoirs development process, and in particular to one
The method in kind quantitative assessment carbonate gas reservoirs potentiality to be exploited area.
Background technique
In carbonate gas reservoirs exploitation, for Efficient Development natural gas, it is necessary to evaluate potentiality to be exploited area.In general,
The potentiality to be exploited of carbonate gas reservoirs depends primarily on many factors such as lithology, physical property and gas-bearing property.
The evaluation of existing carbonate gas reservoirs potentiality to be exploited area, is limited only to dolomite thickness, physical property and gas-bearing property feature pair
Carbonate gas reservoirs exploitation influence research, in fact, carbonate gas reservoirs potentiality to be exploited area not only with dolomite thickness, object
Property is related with gas-bearing property and also closely related with Karstification Intensity and development degree of micro cracks in oil, therefore, existing evaluation method
The main factor for not comprehensively considering the influence of potentiality to be exploited area, can not accurately characterize carbonate gas reservoirs potentiality to be exploited area, cannot
Technical support is provided for the high-quality and efficient exploitation of carbonate gas reservoirs.Moreover, both at home and abroad even without quantitative assessment carbonate rock gas
The method of Zang Kaifaqianliqu.
Summary of the invention
The object of the present invention is to provide a kind of methods in quantitative assessment carbonate gas reservoirs potentiality to be exploited area, accurately to comment
The potentiality to be exploited area of valence carbonate gas reservoirs provides technical support for the high-quality and efficient exploitation of carbonate gas reservoirs.
To achieve the goals above, technical solution provided by the invention is as follows:
A kind of method in quantitative assessment carbonate gas reservoirs potentiality to be exploited area, includes the following steps:
Step 1) determines dolomite thickness;
Step 2) prediction residue karst intensity;
Step 3) calculates reservoir quality comprehensive evaluation index, and normalizes;
Step 4) calculates development degree of micro cracks in oil evaluation number, and normalizes;
Step 5) determines carbonate gas reservoirs potentiality to be exploited area quantitative assessment criteria:
The potentiality to be exploited zoning for being provided simultaneously with following four standard is divided into REGION OF WATER INJECTION OILFIELD, is not provided simultaneously with following four standard
Potentiality to be exploited zoning be divided into non-REGION OF WATER INJECTION OILFIELD:Dolomite thickness is not less than 2m, and remaining karst intensity is not small by 0.5, stores up after normalization
Not less than 0.2 and after normalization, development degree of micro cracks in oil evaluation number is not less than 0.1 to layer quality comprehensive evaluation index;
The evaluation of step 6) carbonate gas reservoirs potentiality to be exploited area:Carbonate rock gas is evaluated according to the evaluation criterion in step 5)
The potentiality to be exploited of Zang Kaifaqianliqu determines whether to develop according to potentiality to be exploited.
Dolomite thickness H in step 1)DIt is calculated as follows:
IDFor dolomitic data sampling interval to be counted on cross plot, m;Cross plot is constructed by M and N, white for identification
Yun Yan, limestone, Gypsum;
In formula, M is interval transit time and the parameter that compensated density log constructs, dimensionless;ΔtfFor the interval transit time of fluid,
μs/m;ΔtmaFor the interval transit time of rock forming mineral skeleton, μ s/m;ρmaFor the density of rock forming mineral skeleton, g/cm3;ρfFor fluid
Density, g/cm3;ΦNfFor the neutron porosity of fluid, %;ΦNmaFor the neutron porosity of rock forming mineral skeleton, %;N is to mend
Repay the parameter of neutron and compensated density log building, dimensionless.
Really fixed pattern is remaining karst intensity
In formula, R is remaining karst intensity, dimensionless;φefcFor effective fracture hole rate, dimensionless;φcFor rock core hole
Degree, %;H is effective reservoir thickness, m;HtFor the overall thickness of reservoir, m.
Reservoir quality comprehensive evaluation index model is
In formula, IRFor reservoir quality comprehensive evaluation index, zero dimension;SgFor gas saturation, decimal;H is having for reservoir
Imitate thickness, m;K is the permeability of reservoir, mD;φ is the porosity of reservoir, %.
The calculating formula of development degree of micro cracks in oil evaluation number is
In formula, RFFor the development degree of micro cracks in oil evaluation number of carbonate rock stratum, dimensionless;EtmaIt is obtained for regional statistics
The Young's modulus of carbonate rock skeleton, MPa;E is the Young's modulus for the carbonate rock that well logging calculates, MPa;Δt,ΔtsRespectively
The P-wave And S time difference of carbonate rock stratum, μ s/m;ρbFor rock volume density, g/cm3。
Reservoir quality comprehensive evaluation index normalizes process,
In formula:INFor normalized value, dimensionless;I is to normalized reservoir quality comprehensive evaluation index value, dimensionless;
IMinFor the maximum value of reservoir quality comprehensive evaluation index to be normalized, dimensionless;IMinIt is commented for reservoir quality to be normalized synthesis
The minimum value of valence index, dimensionless.
The REGION OF WATER INJECTION OILFIELD includes I class REGION OF WATER INJECTION OILFIELD, II class REGION OF WATER INJECTION OILFIELD and Group III REGION OF WATER INJECTION OILFIELD.
Effective fracture hole rate φ of the dolostone reservoirsefcIt is obtained using imaging logging and core observation, the rock core hole
Spend φcIt using coring data, is obtained by laboratory testing analysis, the overall thickness H of effect the reservoir thickness H and reservoirtIt utilizes
Result of log interpretation obtains.
The gas saturation Sg, the effective thickness H of reservoir, the permeability K of reservoir and reservoir porosity φ utilize
Result of log interpretation obtains.
The beneficial effects of the invention are as follows:
The present invention had both fully considered that dolomite thickness, reservoir effective thickness, physical property, gas-bearing property opened carbonate gas reservoirs
The influence of REGION OF WATER INJECTION OILFIELD is sent out, and has taken into account the influence of karst developing intensity and characteristics of fracture development, effectively utilizes well logging and analysis
Chemical examination data is determined four, carbonate gas reservoirs potentiality to be exploited area index, and then carrys out quantitative assessment carbonate gas reservoirs
Potentiality to be exploited area.Actual production feelings are developed using the carbonate gas reservoirs potentiality to be exploited area and carbonate gas reservoirs of this method evaluation
Condition is coincide.
It is described in further details below in conjunction with attached drawing.
Detailed description of the invention
Fig. 1 is flow chart of the invention;
Fig. 2 is the dolomitic cross plot of identification constructed by M and N;
Fig. 3 is the carbonate gas reservoirs potentiality to be exploited area plan view of the quantitative assessment in the present invention;
Fig. 4 is the well log interpretation result map in the I class potentiality to be exploited area of carbonate gas reservoirs in the present invention.
Specific embodiment
Embodiment 1:
A kind of method for present embodiments providing quantitative assessment carbonate gas reservoirs potentiality to be exploited area as shown in Figure 1, packet
Include following steps:
Step 1) determines dolomite thickness;
Step 2) prediction residue karst intensity;
Step 3) calculates reservoir quality comprehensive evaluation index, and normalizes;
Step 4) calculates development degree of micro cracks in oil evaluation number, and normalizes;
Step 5) determines carbonate gas reservoirs potentiality to be exploited area quantitative assessment criteria:
The potentiality to be exploited zoning for being provided simultaneously with following four standard is divided into REGION OF WATER INJECTION OILFIELD, is not provided simultaneously with following four standard
Potentiality to be exploited zoning be divided into non-REGION OF WATER INJECTION OILFIELD:Dolomite thickness is not less than 2m, and remaining karst intensity is not small by 0.5, stores up after normalization
Not less than 0.2 and after normalization, development degree of micro cracks in oil evaluation number is not less than 0.1 to layer quality comprehensive evaluation index;
The evaluation of step 6) carbonate gas reservoirs potentiality to be exploited area:Carbonate rock gas is evaluated according to the evaluation criterion in step 5)
The potentiality to be exploited of Zang Kaifaqianliqu determines whether to develop according to potentiality to be exploited.
Since the main reservoir rock class of carbonate gas reservoir is dolomite, dolomite thickness effect carbonate gas reservoirs
Potentiality to be exploited.Dolomitized is as a kind of metasomasis, so that reservoir porosity increases;Table in dolomite diagenetic process it is raw and
The phase corrosion of burying is formed by secondary hole seam and provides space for natural gas storage.
The present invention is based on dolomite thickness, remaining karst intensity, reservoir integrated quality index and development degree of micro cracks in oil evaluations
Index establishes carbonate gas reservoirs potentiality to be exploited area quantitative assessment criteria, is developed with this evaluation criterion to carbonate gas reservoirs
REGION OF WATER INJECTION OILFIELD is divided, and will provide technical support for carbonate gas reservoirs Efficient Development.
Embodiment 2:
On the basis of embodiment 1, a kind of quantitative assessment carbonate gas reservoirs potentiality to be exploited area is present embodiments provided
Method includes the following steps:
Step 1) determines dolomite thickness:Dolomite thickness HDIt is calculated as follows:
IDFor dolomitic data sampling interval to be counted on cross plot, m;Cross plot is constructed by M and N, white for identification
Yun Yan, limestone, Gypsum;
In formula, M is interval transit time and the parameter that compensated density log constructs, dimensionless;ΔtfFor the interval transit time of fluid,
μs/m;ΔtmaFor the interval transit time of rock forming mineral skeleton, μ s/m;ρmaFor the density of rock forming mineral skeleton, g/cm3;ρfFor fluid
Density, g/cm3;ΦNfFor the neutron porosity of fluid, %;ΦNmaFor the neutron porosity of rock forming mineral skeleton, %;N is to mend
Repay the parameter of neutron and compensated density log building, dimensionless.
As shown in Fig. 2, white clouds can be sought by point-by-point accumulation method based on the dolomite that the cross plot identifies point by point
The thickness of rock.
Step 2) prediction residue karst intensity:Karst platform in karst slope monadnock area and groove two sides be natural
The Favorable Areass of gas enrichment, then, using remaining karst intensity come quantitatively characterizing karst development degree.
Really fixed pattern is remaining karst intensity
In formula, R is remaining karst intensity, dimensionless;φefcFor effective fracture hole rate, dimensionless;φcFor rock core hole
Degree, %;H is effective reservoir thickness, m;HtFor the overall thickness of reservoir, m.
Wherein, effective fracture hole rate φ of the dolostone reservoirsefcIt is obtained using imaging logging and core observation, the rock
Heart porosity φcIt using coring data, is obtained by laboratory testing analysis, the overall thickness H of effect the reservoir thickness H and reservoirt
It is obtained using result of log interpretation.
Step 3) calculates reservoir quality comprehensive evaluation index, and normalizes;Reservoir quality evaluation is a variety of ginsengs from reservoir
Hair is counted, finds out their internal relations between Natural Gas Enrichment degree, and make to reservoir quality of reservoir qualitative index value
The classification estimation of grade out.High-quality Reservoir generally has preferable physical property composite index, and gas saturation is higher, reservoir is thicker.
Reservoir quality comprehensive evaluation index model is
In formula, IRFor reservoir quality comprehensive evaluation index, zero dimension;SgFor gas saturation, decimal;H is having for reservoir
Imitate thickness, m;K is the permeability of reservoir, mD;φ is the porosity of reservoir, %.
Wherein, the gas saturation Sg, the effective thickness H of reservoir, the porosity φ of the permeability K of reservoir and reservoir it is equal
It is obtained using result of log interpretation.
It changes greatly, therefore is normalized in view of reservoir quality comprehensive evaluation index value.Reservoir quality synthesis is commented
Valence index normalizes process,
In formula:INFor normalized value, dimensionless;I is to normalized reservoir quality comprehensive evaluation index value, dimensionless;
IMinFor the maximum value of reservoir quality comprehensive evaluation index to be normalized, dimensionless;IMinIt is commented for reservoir quality to be normalized synthesis
The minimum value of valence index, dimensionless.
Step 4) calculates development degree of micro cracks in oil evaluation number, and normalizes;The modular ratio of free from flaw rock has crack
The elastic mould value of rock is big.Therefore, the elasticity modulus ratio of the elasticity modulus and stratum that can use free from flaw rock is sentenced
The development degree of faulted joint.The Young's modulus of the carbonate rock skeleton obtained using regional statistics and the longitudinal and shear wave time difference and density are surveyed
The carbonate rock Young's modulus of well material computation is compared to the development degree of micro cracks in oil relatively to characterize carbonate rock stratum.
The calculating formula of development degree of micro cracks in oil evaluation number is
In formula, RFFor the development degree of micro cracks in oil evaluation number of carbonate rock stratum, dimensionless;EtmaIt is obtained for regional statistics
The Young's modulus of carbonate rock skeleton, MPa;E is the Young's modulus for the carbonate rock that well logging calculates, MPa;Δt,ΔtsRespectively
The P-wave And S time difference of carbonate rock stratum, μ s/m;ρbFor rock volume density, g/cm3.Normalization process is commented with reservoir quality synthesis
Valence index normalizes process.
Step 5) determines carbonate gas reservoirs potentiality to be exploited area quantitative assessment criteria:
The potentiality to be exploited zoning for being provided simultaneously with following four standard is divided into REGION OF WATER INJECTION OILFIELD, is not provided simultaneously with following four standard
Potentiality to be exploited zoning be divided into non-REGION OF WATER INJECTION OILFIELD:Dolomite thickness is not less than 2m, and remaining karst intensity is not small by 0.5, stores up after normalization
Not less than 0.2 and after normalization, development degree of micro cracks in oil evaluation number is not less than 0.1 to layer quality comprehensive evaluation index;Specifically it is shown in Table
1。
1 carbonate gas reservoirs potentiality to be exploited area grading standard table of table
The evaluation of step 6) carbonate gas reservoirs potentiality to be exploited area:Carbonate rock gas is evaluated according to the evaluation criterion in step 5)
The potentiality to be exploited of Zang Kaifaqianliqu.
Embodiment 3:
Apply the present invention to the gas field S, quantitative assessment carbonate gas reservoirs potentiality to be exploited area, referring to Fig. 3, according to 1 institute of table
The carbonate gas reservoirs potentiality to be exploited area grading standard shown calculates the research each evaluation number in area's potentiality to be exploited area, and root
The class criteria for classifying is distinguished according to potentiality to be exploited shown in table 1, has carried out potentiality to be exploited area of research area plane overall merit (Fig. 3).By
For Fig. 3 it is found that I class potentiality to be exploited area is located at research area northeast, the west and south, the wellblock 54-70, II class potentiality to be exploited area is located at I class
Around potentiality to be exploited area, III class potentiality to be exploited area is located at around II class potentiality to be exploited area, non-REGION OF WATER INJECTION OILFIELD be mainly distributed on the northwestward,
Middle part and the west and south.49-63 well is a bite development well (Fig. 4) in I class potentiality to be exploited area, 3181.8~3184.5m of the well,
3194.7~3199.1m is main gas bearing interval, 3181.8~3184.5m of reservoir of this layer of well log interpretation, 3194.7~
3199.1m is gas-bearing formation, and dolomite thickness is more than 20m, and remaining karst intensity is 2.2, porosity 5.82%, and permeability is
0.87mD, gas saturation 58.2%, the effective thickness that adds up are 7.1m, the normalization reservoir quality comprehensive evaluation index of calculating
It is 0.62, the development degree of micro cracks in oil evaluation number after normalization is 0.53.Interval progress gas testing, daily gas 9.4017 ×
104m3, water outlet 0m3, it is gas-bearing formation.This explanation is located at the wellblock in I class potentiality to be exploited area, and gas production is high.This also sufficiently shows the present invention
The carbonate gas reservoirs potentiality to be exploited area of quantitative assessment and actual production feature are more coincide.
This method had both fully considered dolomite thickness, physical property characteristic, Gas-bearing Characteristics to carbonate gas reservoirs potentiality to be exploited
The influence in area, and the influence of remaining karst intensity, development degree of micro cracks in oil has been taken into account, the carbonate gas reservoirs potentiality to be exploited evaluated
Area and carbonate gas reservoirs practical condition are more coincide.Each evaluation index in the method can be from carbonate rock gas field
Well-log information is sought, and almost all of carbonate rock gas field all has a large amount of log data.Therefore, carbonic acid of the invention
Rock salt gas reservoir development REGION OF WATER INJECTION OILFIELD quantitative evaluation method has good popularization and application foreground and value.
It will be understood by those of skill in the art that due to the difference of well control degree, in order to more accurately evaluate carbonate rock
The potentiality to be exploited area of gas reservoir, it is very necessary that well shake, which combines, and inter-well distance can satisfy the requirement of evaluating reservoir, carbonate
Rock gas reservoir development REGION OF WATER INJECTION OILFIELD quantitative assessment result ability precision with higher.
The part that the present embodiment does not specifically describe belongs to the common knowledge and well-known technique of the art, herein not
Another one is described in detail.
The foregoing examples are only illustrative of the present invention, does not constitute the limitation to protection scope of the present invention, all
It is within being all belonged to the scope of protection of the present invention with the same or similar design of the present invention.
Claims (9)
1. a kind of method in quantitative assessment carbonate gas reservoirs potentiality to be exploited area, which is characterized in that include the following steps:
Step 1) determines dolomite thickness;
Step 2) prediction residue karst intensity;
Step 3) calculates reservoir quality comprehensive evaluation index, and normalizes;
Step 4) calculates development degree of micro cracks in oil evaluation number, and normalizes;
Step 5) determines carbonate gas reservoirs potentiality to be exploited area quantitative assessment criteria:
The potentiality to be exploited zoning for being provided simultaneously with following four standard is divided into REGION OF WATER INJECTION OILFIELD, is not provided simultaneously with opening for following four standard
Hair REGION OF WATER INJECTION OILFIELD is divided into non-REGION OF WATER INJECTION OILFIELD:Dolomite thickness is not less than 2m, and remaining karst intensity is not small by 0.5, reservoir product after normalization
Not less than 0.2 and after normalization, development degree of micro cracks in oil evaluation number is not less than 0.1 to matter comprehensive evaluation index;
The evaluation of step 6) carbonate gas reservoirs potentiality to be exploited area:It is opened according to the evaluation criterion evaluation carbonate gas reservoirs in step 5)
The potentiality to be exploited for sending out REGION OF WATER INJECTION OILFIELD, determines whether to develop according to potentiality to be exploited.
2. a kind of method in quantitative assessment carbonate gas reservoirs potentiality to be exploited area according to claim 1, which is characterized in that
Dolomite thickness H in step 1)DIt is calculated as follows:
IDFor dolomitic data sampling interval to be counted on cross plot, m;Cross plot is constructed by M and N, for identification dolomite,
Limestone, Gypsum;
In formula, M is interval transit time and the parameter that compensated density log constructs, dimensionless;ΔtfFor the interval transit time of fluid, μ s/m;
ΔtmaFor the interval transit time of rock forming mineral skeleton, μ s/m;ρmaFor the density of rock forming mineral skeleton, g/cm3;ρfFor the close of fluid
Degree, g/cm3;ΦNfFor the neutron porosity of fluid, %;ΦNmaFor the neutron porosity of rock forming mineral skeleton, %;N is in compensation
The parameter of son and compensated density log building, dimensionless.
3. a kind of method in quantitative assessment carbonate gas reservoirs potentiality to be exploited area according to claim 1, it is characterised in that:
Really fixed pattern is remaining karst intensity in step 2)
In formula, R is remaining karst intensity, dimensionless;φefcFor effective fracture hole rate, dimensionless;φcFor core porosity, %;H is
Effective reservoir thickness, m;HtFor the overall thickness of reservoir, m.
4. a kind of method in quantitative assessment carbonate gas reservoirs potentiality to be exploited area according to claim 1, it is characterised in that:
Reservoir quality comprehensive evaluation index model in step 3) is
In formula, IRFor reservoir quality comprehensive evaluation index, zero dimension;SgFor gas saturation, decimal;H is effective thickness of reservoir
Degree, m;K is the permeability of reservoir, mD;φ is the porosity of reservoir, %.
5. a kind of method in quantitative assessment carbonate gas reservoirs potentiality to be exploited area according to claim 1, it is characterised in that:
The calculating formula of development degree of micro cracks in oil evaluation number in step 4) is
In formula, RFFor the development degree of micro cracks in oil evaluation number of carbonate rock stratum, dimensionless;EtmaThe carbonate obtained for regional statistics
The Young's modulus of petrous bone frame, MPa;E is the Young's modulus for the carbonate rock that well logging calculates, MPa;Δt,ΔtsRespectively carbonate
The P-wave And S time difference of rock stratum, μ s/m;ρbFor rock volume density, g/cm3。
6. a kind of method in quantitative assessment carbonate gas reservoirs potentiality to be exploited area according to claim 1, it is characterised in that:
Reservoir quality comprehensive evaluation index normalizes process,
In formula:INFor normalized value, dimensionless;I is to normalized reservoir quality comprehensive evaluation index value, dimensionless;IMinFor
The maximum value of reservoir quality comprehensive evaluation index to be normalized, dimensionless;IMinFor reservoir quality comprehensive evaluation index to be normalized
Minimum value, dimensionless.
7. a kind of method in quantitative assessment carbonate gas reservoirs potentiality to be exploited area according to claim 1, it is characterised in that:
The REGION OF WATER INJECTION OILFIELD includes I class REGION OF WATER INJECTION OILFIELD, II class REGION OF WATER INJECTION OILFIELD and Group III REGION OF WATER INJECTION OILFIELD.
8. a kind of method in quantitative assessment carbonate gas reservoirs potentiality to be exploited area according to claim 3, it is characterised in that:
Effective fracture hole rate φ of the dolostone reservoirsefcIt is obtained using imaging logging and core observation, the core porosity φcBenefit
It with coring data, is obtained by laboratory testing analysis, the overall thickness H of effect the reservoir thickness H and reservoirtUtilize well log interpretation
As a result it obtains.
9. a kind of method in quantitative assessment carbonate gas reservoirs potentiality to be exploited area according to claim 4, it is characterised in that:
The gas saturation Sg, the effective thickness H of reservoir, the permeability K of reservoir and reservoir porosity φ utilize well log interpretation
As a result it obtains.
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CN110469327A (en) * | 2019-08-02 | 2019-11-19 | 中国石油天然气集团有限公司 | A kind of approximant three-dimensional evaluation method of carbonate reservoir well logging of five steps |
CN114184764A (en) * | 2020-09-15 | 2022-03-15 | 中国石油化工股份有限公司 | Method and system for dividing rock mechanical layer of compact carbonate reservoir |
CN114215513A (en) * | 2022-02-21 | 2022-03-22 | 中海油研究总院有限责任公司 | Quantitative determination method, device, medium and equipment for buried hill oil reservoir mode |
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Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102854542A (en) * | 2011-06-30 | 2013-01-02 | 中国石油集团长城钻探工程有限公司 | Metamorphic rock lithology identification method |
CN103291287A (en) * | 2013-05-09 | 2013-09-11 | 中国石油天然气股份有限公司 | Method for measuring effectiveness grade of hole type reservoir |
CN104453873A (en) * | 2014-10-23 | 2015-03-25 | 中国石油天然气股份有限公司 | Evaluation method for shale oil and gas economic and effective layer section |
CN105044797A (en) * | 2015-08-06 | 2015-11-11 | 中国石油天然气股份有限公司 | Quantitative recovery method for carbonate rock stratum denudation amount |
CN105093306A (en) * | 2014-05-15 | 2015-11-25 | 中国石油化工股份有限公司 | Method for automatic interpretation and thickness calculation of reservoir in geophysical exploration |
CN105863625A (en) * | 2016-04-27 | 2016-08-17 | 中国石油天然气股份有限公司 | Compact oil reservoir five-element coefficient classification evaluation method |
CN106295042A (en) * | 2016-08-17 | 2017-01-04 | 西安科技大学 | A kind of coal seam top rock stability Quantitative Evaluation with Well Logging method |
CN106295113A (en) * | 2016-07-15 | 2017-01-04 | 中国海洋石油总公司 | A kind of method for quantitatively evaluating of complex oil and gas reservoir permeability |
CN106355571A (en) * | 2016-08-15 | 2017-01-25 | 中国石油天然气股份有限公司 | Method and device for determining quality of dolomite reservoir |
CN104747183B (en) * | 2015-02-02 | 2017-06-23 | 中石化西南石油工程有限公司地质录井分公司 | A kind of carbonate reservoir compressive classification method |
CN107218032A (en) * | 2017-05-02 | 2017-09-29 | 中国石油大学(北京) | Compact reservoir sugariness evaluation method and device |
CN107795320A (en) * | 2016-09-05 | 2018-03-13 | 中国石油化工股份有限公司 | A kind of computational methods of horizontal well carbonate reservoir parameter |
-
2018
- 2018-04-03 CN CN201810289944.3A patent/CN108825216A/en active Pending
Patent Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102854542A (en) * | 2011-06-30 | 2013-01-02 | 中国石油集团长城钻探工程有限公司 | Metamorphic rock lithology identification method |
CN103291287A (en) * | 2013-05-09 | 2013-09-11 | 中国石油天然气股份有限公司 | Method for measuring effectiveness grade of hole type reservoir |
CN105093306A (en) * | 2014-05-15 | 2015-11-25 | 中国石油化工股份有限公司 | Method for automatic interpretation and thickness calculation of reservoir in geophysical exploration |
CN104453873A (en) * | 2014-10-23 | 2015-03-25 | 中国石油天然气股份有限公司 | Evaluation method for shale oil and gas economic and effective layer section |
CN104747183B (en) * | 2015-02-02 | 2017-06-23 | 中石化西南石油工程有限公司地质录井分公司 | A kind of carbonate reservoir compressive classification method |
CN105044797A (en) * | 2015-08-06 | 2015-11-11 | 中国石油天然气股份有限公司 | Quantitative recovery method for carbonate rock stratum denudation amount |
CN105863625A (en) * | 2016-04-27 | 2016-08-17 | 中国石油天然气股份有限公司 | Compact oil reservoir five-element coefficient classification evaluation method |
CN106295113A (en) * | 2016-07-15 | 2017-01-04 | 中国海洋石油总公司 | A kind of method for quantitatively evaluating of complex oil and gas reservoir permeability |
CN106355571A (en) * | 2016-08-15 | 2017-01-25 | 中国石油天然气股份有限公司 | Method and device for determining quality of dolomite reservoir |
CN106295042A (en) * | 2016-08-17 | 2017-01-04 | 西安科技大学 | A kind of coal seam top rock stability Quantitative Evaluation with Well Logging method |
CN107795320A (en) * | 2016-09-05 | 2018-03-13 | 中国石油化工股份有限公司 | A kind of computational methods of horizontal well carbonate reservoir parameter |
CN107218032A (en) * | 2017-05-02 | 2017-09-29 | 中国石油大学(北京) | Compact reservoir sugariness evaluation method and device |
Non-Patent Citations (8)
Title |
---|
付晓燕: "下古生界气藏马五_5 段碳酸盐岩开发目标评价", 《石油化工应用》 * |
张绍辉等: "洋心次凹泰二段致密油形成条件与甜点区评价", 《录井工程》 * |
曾婷等: "储层预测中有关测井参数的分析及应用", 《工程地球物理学报》 * |
李大心: "《地球物理方法综合应用与解释》", 31 May 2003 * |
牛涛等: "基于复杂岩性识别的低渗储层综合分类评价", 《西南石油大学学报(自然科学版)》 * |
罗明等: "精细层序格架下砂体雕刻方法――以B地区为应用实例", 《长江大学学报(自然科学版)》 * |
胡挺等: "EXCEL宏在测井资料处理与岩性划分中的应用探索", 《内江科技》 * |
赵永刚等: "基于残余岩溶强度表征和裂缝预测的碳酸盐岩储层评价——以塔中西部上奥陶统良里格组为例", 《吉林大学学报(地球科学版)》 * |
Cited By (14)
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CN109492938A (en) * | 2018-12-04 | 2019-03-19 | 同济大学 | A kind of deep carbonate reservoirs method for evaluating quality based on dessert indicator |
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CN110469327A (en) * | 2019-08-02 | 2019-11-19 | 中国石油天然气集团有限公司 | A kind of approximant three-dimensional evaluation method of carbonate reservoir well logging of five steps |
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CN114184764A (en) * | 2020-09-15 | 2022-03-15 | 中国石油化工股份有限公司 | Method and system for dividing rock mechanical layer of compact carbonate reservoir |
CN114184764B (en) * | 2020-09-15 | 2024-06-04 | 中国石油化工股份有限公司 | Method and system for dividing tight carbonate reservoir rock mechanical layer |
CN114427457A (en) * | 2021-09-13 | 2022-05-03 | 中国石油化工股份有限公司 | Method for determining logging pentasexual relation of tidal flat facies carbonate reservoir and logging evaluation method |
CN114427457B (en) * | 2021-09-13 | 2022-08-05 | 中国石油化工股份有限公司 | Method for determining logging penta-relation of tidal flat phase carbonate reservoir and logging evaluation method |
CN114215513B (en) * | 2022-02-21 | 2022-05-10 | 中海油研究总院有限责任公司 | Quantitative discrimination method, device, medium and equipment for buried hill reservoir mode |
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