CN111353218B - Logging quantitative evaluation method for coal bed gas-dense gas reservoir compaction property - Google Patents
Logging quantitative evaluation method for coal bed gas-dense gas reservoir compaction property Download PDFInfo
- Publication number
- CN111353218B CN111353218B CN202010106873.6A CN202010106873A CN111353218B CN 111353218 B CN111353218 B CN 111353218B CN 202010106873 A CN202010106873 A CN 202010106873A CN 111353218 B CN111353218 B CN 111353218B
- Authority
- CN
- China
- Prior art keywords
- coal
- coal bed
- difference
- sand layer
- logging
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 239000003245 coal Substances 0.000 title claims abstract description 136
- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000011158 quantitative evaluation Methods 0.000 title claims abstract description 17
- 238000005056 compaction Methods 0.000 title claims abstract description 6
- 239000004576 sand Substances 0.000 claims abstract description 62
- 238000011156 evaluation Methods 0.000 claims abstract description 34
- 239000011435 rock Substances 0.000 claims abstract description 25
- 238000007596 consolidation process Methods 0.000 claims description 10
- 230000015572 biosynthetic process Effects 0.000 claims description 8
- 239000000956 alloy Substances 0.000 claims description 3
- 229910045601 alloy Inorganic materials 0.000 claims description 3
- 239000011148 porous material Substances 0.000 claims description 3
- XOFYZVNMUHMLCC-ZPOLXVRWSA-N prednisone Chemical compound O=C1C=C[C@]2(C)[C@H]3C(=O)C[C@](C)([C@@](CC4)(O)C(=O)CO)[C@@H]4[C@@H]3CCC2=C1 XOFYZVNMUHMLCC-ZPOLXVRWSA-N 0.000 claims description 3
- 238000003860 storage Methods 0.000 claims description 3
- 238000004519 manufacturing process Methods 0.000 description 4
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 4
- 238000010276 construction Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000000149 penetrating effect Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Images
Classifications
-
- 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
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Geology (AREA)
- Mining & Mineral Resources (AREA)
- Physics & Mathematics (AREA)
- Environmental & Geological Engineering (AREA)
- Fluid Mechanics (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geochemistry & Mineralogy (AREA)
- Investigating Strength Of Materials By Application Of Mechanical Stress (AREA)
Abstract
A logging quantitative evaluation method for coalbed methane-dense gas reservoir compaction property comprises the following steps: calculating the brittleness index difference between the sand layer and the coal bed; step two: calculating the minimum horizontal ground stress difference between the sand layer and the coal bed; step three: calculating the tensile strength difference between the sandstone and the coal rock; step four: calculating the Young modulus difference of the sandstone and the coal rock; and finally, evaluating the compressibility of the coal bed gas-dense gas reservoir by using the four evaluation indexes according to the brittleness index difference between the sand layer and the coal bed, the minimum horizontal main stress difference between the sandstone and the coal rock, the tensile strength difference between the sandstone and the coal rock and the Young modulus difference between the sand layer and the coal bed, so that the logging technical support is preferably provided for the fracturing layer of the coal bed gas-dense gas reservoir while the quantitative evaluation precision of the compressibility logging of the coal bed gas-dense gas reservoir is improved, and the method has the characteristics of simplicity and practicability.
Description
Technical Field
The invention relates to the technical field of logging evaluation, in particular to a logging quantitative evaluation method for coalbed methane-dense gas reservoir joint pressure.
Background
Production increasing measures such as fracturing are often adopted in the coal bed gas-dense gas combined development process, and the coal bed gas-dense gas reservoir joint pressure evaluation becomes an important work for formulating a fracturing scheme. The geophysical logging information implies a plurality of information such as coal bed gas-dense gas reservoir mechanics, crustal stress, pressure and the like, and accordingly the logging information can be used for evaluating the synthetic pressure of the coal bed gas-dense gas reservoir.
The existing logging evaluation method for reservoir compressibility generally uses brittleness index and fracture pressure value to divide compressibility. However, the coal bed gas-tight gas reservoir and the tight gas reservoir have large differences in brittleness index, young modulus, tensile strength and the like, and the ground stress between the coal bed gas-tight gas reservoir has a large influence on fracturing. Secondly, how to evaluate compressibility of the coal bed gas-dense gas reservoir as a system is not reported. In the existing compressibility evaluation method, a method for quantitatively evaluating the compressibility of the coal bed gas-dense gas reservoir by using logging information is not available, which brings inconvenience to the optimization of a fracturing horizon in the coal bed gas-dense gas combined development process.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide a logging quantitative evaluation method for the coal bed gas-tight gas reservoir compressibility, which utilizes logging information to determine the brittleness index difference of sandstone and coal rock, the minimum level main stress difference of sandstone and coal rock, the tensile strength difference of sandstone and coal rock, and the Young modulus difference of a sand layer and a coal bed, evaluates the compressibility of the coal bed gas-tight gas reservoir by using the four evaluation indexes, improves the logging quantitative evaluation precision of the compressibility of the coal bed gas-tight gas reservoir, and preferably provides logging technical support for the fracturing layer of the coal bed gas-tight gas reservoir at the same time.
In order to achieve the purpose, the invention adopts the technical scheme that:
a logging quantitative evaluation method for coal bed methane-tight gas reservoir compaction property comprises the following steps:
the method comprises the following steps: calculating the brittleness index difference between the sand layer and the coal layer
Determining brittleness index difference of sand layer and coal bed by adopting formula (1)
ΔI B ＝I BS -I BC (I)
In the formula: delta I B The brittleness index difference value of the sand layer and the coal layer is percent; i is BS 、I BC Respectively representing brittleness indexes of a sand layer and a coal layer in percent;
wherein:
in the formula: i is BE 、I Bμ Brittleness index,%, calculated by Young's modulus and Poisson's ratio method; i is B Is the brittleness index,%, of the coal bed; E. e max 、E min Young's modulus, maximum Young's modulus and minimum Young's modulus ratio of coal seam, 10 4 MPa；μ、μ max 、μ min The Poisson ratio, the maximum Poisson ratio and the minimum Poisson ratio of the coal seam are respectively, and the method is dimensionless; rho b Is volume density, g/cm 3 ；Δt、Δt s Respectively the longitudinal wave time difference and the transverse wave time difference of the coal bed, mu s/ft;
step two: calculating the minimum horizontal stress difference between the sand layer and the coal bed
By utilizing logging information, on the basis of determining the ground stress of the coal bed and the sandstone, determining the minimum horizontal main stress difference between the coal bed and the top and bottom plates thereof by adopting a formula (2):
Δσ＝σ s -σ c (2)
in the formula: delta sigma is the minimum horizontal main stress difference between the sand layer and the coal bed, MPa; sigma s The minimum horizontal main stress of the coal seam top and bottom plate is MPa; sigma c Is the minimum horizontal principal stress of the coal seam, MPa;
wherein
σ s Or
In the formula: sigma v Is vertical ground stress, MPa; alpha is a Biot coefficient and is dimensionless; p is p Is the formation pore pressure, MPa; beta is a 1 The structural stress coefficient in the direction of the minimum horizontal ground stress is dimensionless; rho o The average density value of the stratum without the logging density depth section is g/cm 3 ；H o Starting depth of density logging, m; h is the depth of the calculation point, m; Δ t ma The acoustic time difference of the coal-rock framework is mu s/ft; A. b is a regional coefficient and is dimensionless; the physical meaning of other parameters is the same as above;
step three: calculating the tensile strength difference between sandstone and coal rock
On the basis of utilizing logging information argillaceous content and young modulus, calculate the tensile strength of sand bed and coal seam, and then confirm that the tensile strength of sand bed and coal seam is poor:
ΔC＝C s -C c (3)
delta C is the tensile strength difference between the sand layer and the coal bed, and is MPa; c s 、C c The tensile strength of the sand layer and the coal layer is respectively MPa;
wherein:
C s or C c ＝0.0045E(1-V sh )+0.008E·V sh
In the formula: e is the Young's modulus of the formation, 10 4 MPa；V sh Is the shale content of the formation,%;
step four: calculating the Young modulus difference of sandstone and coal rock
And calculating the Young modulus of the sand layer and the coal bed by using the logging data, and further determining the Young modulus difference of the sand layer and the coal bed:
ΔE＝E s -E c (4)
in the formula: delta E is the Young's modulus difference between the sand layer and the coal bed, 10 4 MPa；E s 、E c Young's modulus of sand layer and coal layer, 10 4 Mpa；
Step five: evaluation of synthetic compressibility of sandstone and coal rock
According to the results of the steps, the evaluation grading standard of the coal bed gas-dense gas storage layer compressibility shown in the table 1 is obtained:
TABLE 1 evaluation grade division table for coal bed gas-tight gas reservoir consolidation pressure
As can be seen from table 1, the evaluation of the joint pressure of the coalbed methane-tight gas reservoir is divided into three categories: the I type shows that the joint pressure property is good in evaluation and strong; class II indicates that the alloy has a certain bonding property in the middle of bonding property evaluation; class iii indicates poor evaluation of the crush resistance and difficulty in successful fracturing.
Compared with the prior art, the invention has the beneficial effects that: the method for quantitatively evaluating the coalbed methane-dense gas reservoir joint pressure logging can effectively utilize logging information to evaluate the coalbed methane-dense gas reservoir joint pressure, organically combines four evaluation indexes such as the brittleness index difference of sandstone and coal rock, the minimum level main stress difference of sandstone and coal rock, the tensile strength difference of sandstone and coal rock, the Young modulus difference of sand layer and coal layer, and the like together, improves the coalbed methane-dense gas reservoir joint pressure logging quantitative evaluation precision, provides powerful logging technical support for the optimal selection of a fracturing layer, opens up a new way for evaluating the coalbed methane-dense gas reservoir joint pressure by utilizing the logging information, has the characteristics of simplicity and practicality, and has good popularization and application values.
Drawings
FIG. 1 is a flow chart of a logging quantitative evaluation method of coalbed methane-tight gas reservoir consolidation pressure in the invention.
FIG. 2 is a diagram of the well-logging quantitative evaluation result of the coalbed methane-tight gas reservoir consolidation pressure of the invention.
Detailed Description
The present invention will be described in further detail with reference to examples.
Referring to fig. 1, a logging quantitative evaluation method for coalbed methane-tight gas reservoir consolidation pressure comprises the following steps:
a logging quantitative evaluation method for coalbed methane-dense gas reservoir compaction property comprises the following steps:
the method comprises the following steps: calculating the brittleness index difference between the sand layer and the coal layer
The sand layer and the coal layer have different brittleness, and the brittleness of the sand layer is generally higher; if the brittleness index difference is large, the sand layer can be successfully fractured, and the coal layer is difficult to form a fracture;
determining the brittleness index difference of the sand layer and the coal bed by adopting a formula (1):
ΔI B ＝I BS -I BC (I)
in the formula: delta I B The brittleness index difference value of the sand layer and the coal layer is percent; i is BS 、I BC Respectively representing brittleness indexes of a sand layer and a coal layer in percent;
wherein
In the formula: i is BE 、I Bμ Respectively, the brittleness index,%, calculated by the Young modulus and Poisson's ratio method; i is B Is the brittleness index,%, of the coal bed; E. e max 、E min Young's modulus, maximum Young's modulus and minimum Young's modulus ratio of coal seam, 10 4 MPa；μ、μ max 、μ min The coal seam Poisson ratio, the maximum Poisson ratio and the minimum Poisson ratio are respectively dimensionless; ρ is a unit of a gradient b Is volume density, g/cm 3 ；Δt、Δt s Respectively the longitudinal wave time difference and the transverse wave time difference of the coal bed, mu s/ft.
Step two: calculating the minimum horizontal stress difference between the sand layer and the coal bed
The horizontal main stress of the sand layer is generally larger than that of the coal layer, and the horizontal main stress generated by the construction action is larger in the sand layer, so that the minimum horizontal earth stress difference between the sand layer and the coal layer is larger; when the minimum horizontal stress difference between the sand layer and the coal bed is increased, the seam height is gradually reduced, the crack is completely limited in the coal bed, the seam length in the coal bed is steadily increased, and the ground stress of the high sand layer can block the crack from expanding to the sand layer.
By utilizing logging information, on the basis of determining the ground stress of the coal bed and the sandstone, determining the minimum horizontal main stress difference between the coal bed and the top and bottom plates thereof by adopting a formula (2):
Δσ＝σ 5 -σ c (2)
in the formula: delta sigma is the minimum horizontal main stress difference between the sand layer and the coal bed, MPa; sigma s The minimum horizontal main stress of the coal seam top and bottom plate is MPa; sigma c Is the minimum horizontal principal stress of the coal seam, MPa;
wherein
σ s Or
In the formula: sigma v Is vertical ground stress, MPa; alpha is a Biot coefficient and is dimensionless; p p Is the formation pore pressure, MPa; beta is a 1 The structural stress coefficient in the direction of the minimum horizontal ground stress is dimensionless; ρ is a unit of a gradient o The average density value of the stratum without the logging density depth section is g/cm 3 ；H o Starting depth of density log, m; h is the depth of the calculation point, m; Δ t ma The acoustic time difference of the coal-rock framework is mu s/ft; A. b is a regional coefficient and is dimensionless; the other parameters have the same physical meaning as above.
Step three: calculating the tensile strength difference between sandstone and coal rock
Along with the increase of the tensile strength of the sand layer, the seam height is reduced, and the seam length and the seam width are gradually increased; the sand layer with low tensile strength can lead the crack to rapidly expand in the high direction of the crack; the larger the tensile strength is, the larger the expansion resistance in the seam length direction is, and the pressure in the seam is easy to accumulate, so that the layer penetrating phenomenon occurs in the seam height direction.
On the basis of utilizing logging information argillaceous content and young modulus, calculate the tensile strength of sand bed and coal seam, and then confirm that the tensile strength of sand bed and coal seam is poor:
ΔC＝C s -C c (3)
wherein:
C s or C c ＝0.0045E(1-V sh )+0.008E·V sh
In the formula: delta C is the tensile strength difference between the sand layer and the coal bed, and is MPa; c s 、C c The tensile strength of the sand layer and the coal layer is respectively MPa; e is the Young's modulus of the formation, 10 4 MPa；V sh Is the shale content of the formation,%.
Step four: calculating the Young modulus difference of sandstone and coal rock
With the increase of the elastic modulus of the sand layer, the section of the crack in the height direction becomes increasingly thin and high, the crack width is gradually reduced, the crack height is increased, and the crack length direction has a very obvious reduction trend; the sandstone layer with large elastic modulus limits the increase of the seam width, and the smaller the pressure of the fracture tip in the seam length direction is, the more difficult the expansion in the seam length direction is.
And calculating the Young modulus of the sand layer and the coal bed by using the logging data, and further determining the Young modulus difference of the sand layer and the coal bed:
ΔE＝E s -E C (4)
in the formula: delta E is the Young's modulus difference between the sand layer and the coal bed, 10 4 MPa；E s 、E c Young's modulus of sand and coal bed, 10 4 MPa。
Step five: evaluation of synthetic compressibility of sandstone and coal rock
According to the results of the steps, on the basis of actual production verification, the evaluation grade division standard of the coal bed gas-dense gas storage layer pressure property shown in the table 1 is obtained:
TABLE 1 evaluation grade division table for coal bed gas-tight gas reservoir consolidation pressure
As can be seen from table 1, the evaluation of the joint pressure of the coalbed methane-tight gas reservoir is divided into three categories: the I type shows that the joint pressure property is good in evaluation and strong; class II indicates that the alloy has moderate joint pressure property in the evaluation of joint pressure property; class iii indicates poor evaluation of the crush resistance and difficulty in successful fracturing.
And based on the logging calculation model for evaluating the joint pressure of each evaluation index of the coal bed gas-dense gas reservoir, logging processing explanation is carried out on the joint pressure of the coal bed gas-dense gas reservoir of each well in the research area on the basis of compiling a processing explanation program.
FIG. 2 is a diagram of the well-logging quantitative evaluation result of the X-well coalbed methane-tight gas reservoir consolidation pressure. The well compact gas reservoir section 1073.5-1079m, the thickness is 5.5m; the coal bed gas reservoir section 1082.2-1085.3, the thickness is 3.1m. The brittleness index difference of the coal bed gas-dense gas reservoir is 28, the minimum horizontal main stress difference is 0.5MPa, the sand tensile strength difference is 3.4MPa, the Young modulus difference is 5.2GPa, and the comprehensive evaluation of the pressure property of the coal bed gas-dense gas reservoir is I type, which shows that the joint pressure property is strong. The coal bed gas-dense gas reservoir is subjected to combined fracturing, and microseism monitoring results after fracturing show that complex fracturing cracks with radial length and longitudinal width are formed in the coal bed gas-dense gas reservoir, and the daily gas production after fracturing construction is 1.3 ten thousand square. The results fully show that the joint pressure evaluation of the research and evaluation is consistent with the actual fracturing monitoring and drainage and production, and further show that whether the precision of the quantitative evaluation of the joint pressure logging plays a key role in optimizing the coal bed methane fracturing layer section. The method fully excavates the coalbed methane-dense gas reservoir combined pressure information stored in the logging information, and the evaluation can meet the requirement of optimizing the fracturing layer position of the coalbed methane-dense gas reservoir.
It should be understood by those skilled in the art that, because coalbed methane logging is relatively severely influenced by environmental factors, in order to ensure the effective feasibility of the method, it is necessary to ensure that the environmental influence correction effect of logging data is relatively good, the calculation of four evaluation indexes, namely, the brittleness index difference between sandstone and coal rock, the minimum level principal stress difference between sandstone and coal rock, the tensile strength difference between sandstone and coal rock, and the young modulus difference between sand layer and coal layer, is relatively accurate, and the quantitative evaluation result of coalbed methane-dense gas reservoir compressional logging has relatively high precision.
Claims (4)
1. A logging quantitative evaluation method for coalbed methane-dense gas reservoir compaction property is characterized by comprising the following steps:
the method comprises the following steps: calculating the brittleness index difference between the sand layer and the coal layer
Determining the brittleness index difference of the sand layer and the coal bed by adopting a formula (1):
ΔI B ＝I BS -I BC (1)
in the formula: delta I B The brittleness index difference value of the sand layer and the coal layer is percent; i is BS 、I BC Respectively representing brittleness indexes of a sand layer and a coal layer in percent;
step two: calculating the minimum horizontal stress difference between the sand layer and the coal bed
By utilizing logging information, on the basis of determining the ground stress of the coal bed and the sandstone, determining the minimum horizontal main stress difference between the coal bed and the top and bottom plates thereof by adopting a formula (2):
Δσ＝σ s -σ c (2)
in the formula: delta sigma is the minimum horizontal main stress difference between the sand layer and the coal bed, MPa; sigma s The minimum horizontal main stress of the coal seam top and bottom plate is MPa; sigma c Is the minimum horizontal principal stress of the coal seam, MPa;
step three: calculating the tensile strength difference between sandstone and coal rock
On the basis of utilizing logging information argillaceous content and young modulus, calculate the tensile strength of sand bed and coal seam, and then confirm that the tensile strength of sand bed and coal seam is poor:
ΔC＝C s -C c (3)
in the formula: delta C is the tensile strength difference between the sand layer and the coal bed, and is MPa; c s 、C c The tensile strength of the sand layer and the coal layer is respectively MPa;
step four: calculating the Young modulus difference of sandstone and coal rock
And calculating the Young modulus of the sand layer and the coal bed by using the logging data, and further determining the Young modulus difference of the sand layer and the coal bed:
ΔE＝E s -E c (4)
in the formula: delta E is the Young's modulus difference between the sand layer and the coal bed, 10 4 MPa；E s 、E c Young's modulus of sand layer and coal layer, 10 4 MPa；
Step five: evaluation of synthetic compressibility of sandstone and coal rock
According to the results of the steps, the evaluation grading standard of the coal bed gas-dense gas storage layer pressure property shown in the table 1 is obtained:
TABLE 1 evaluation grade division table for coal bed gas-tight gas reservoir consolidation pressure
As can be seen from table 1, the evaluation of the joint pressure of the coalbed methane-tight gas reservoir is divided into three categories: class I shows that the joint pressure property is good in evaluation and strong in joint pressure property; class II indicates that the alloy has a constant contact pressure property in the middle of evaluation of contact pressure property; class iii indicates poor crush evaluation and difficulty in successful fracturing.
2. The method for logging and quantitatively evaluating the coalbed methane-dense gas reservoir consolidation pressure of claim 1,
in the first step of the method,
in the formula: I.C. A BE 、I Bμ Respectively, the brittleness index,%, calculated by the Young modulus and Poisson's ratio method; i is B Is the brittleness index,%, of the coal bed; E. e max 、E min Young's modulus, maximum Young's modulus and minimum Young's modulus ratio of coal bed, 10 4 MPa；μ、μ max 、μ min The Poisson ratio, the maximum Poisson ratio and the minimum Poisson ratio of the coal seam are respectively, and the method is dimensionless; rho b Is volume density, g/cm 3 ；Δt、Δt s Respectively the longitudinal wave time difference and the transverse wave time difference of the coal bed, mu s/ft.
3. The method for logging and quantitatively evaluating the coalbed methane-dense gas reservoir consolidation pressure of claim 1,
in the second step, the first step is carried out,
σ s or
In the formula: sigma v Is vertical ground stress, MPa; mu, is the Poisson's ratio of the coal seam; alpha is a Biot coefficient and is dimensionless; p p Is the formation pore pressure, MPa; beta is a beta 1 The structural stress coefficient in the direction of the minimum horizontal ground stress is dimensionless; rho o The average density value of the stratum without the logging density depth section is g/cm 3 ；H o Starting depth of density log, m; h is the depth of the calculation point, m; Δ t ma The acoustic time difference of the coal-rock framework is mu s/ft; A. b is a regional coefficient and is dimensionless.
4. The method for logging and quantitatively evaluating the coalbed methane-dense gas reservoir consolidation pressure of claim 1,
in the third step, the first step is that,
C s or C c ＝0.0045E(1-V sh )+0.008E·V sh
E is the Young's modulus of the formation, 10 4 MPa；V sh Is the shale content of the stratum (%).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010106873.6A CN111353218B (en) | 2020-02-20 | 2020-02-20 | Logging quantitative evaluation method for coal bed gas-dense gas reservoir compaction property |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010106873.6A CN111353218B (en) | 2020-02-20 | 2020-02-20 | Logging quantitative evaluation method for coal bed gas-dense gas reservoir compaction property |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111353218A CN111353218A (en) | 2020-06-30 |
| CN111353218B true CN111353218B (en) | 2023-03-24 |
Family
ID=71194081
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010106873.6A Active CN111353218B (en) | 2020-02-20 | 2020-02-20 | Logging quantitative evaluation method for coal bed gas-dense gas reservoir compaction property |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111353218B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112307601B (en) * | 2020-10-13 | 2022-06-24 | 中国石油大学(华东) | Complex reservoir fracturing property evaluation method |
| CN115422718B (en) * | 2022-08-10 | 2023-07-07 | 中海石油(中国)有限公司海南分公司 | Method for rapidly optimizing fracturing interval |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103713327A (en) * | 2013-12-31 | 2014-04-09 | 孙赞东 | Shale gas reservoir stratum minimum closing pressure evaluation method based on logging and seismic data |
| CN104314563A (en) * | 2014-10-21 | 2015-01-28 | 西安科技大学 | Logging quantitative evaluation method of coal bed methane reservoir fracturing capability |
| CA2867580A1 (en) * | 2013-10-15 | 2015-04-15 | Korea Institute Of Geoscience And Mineral Resources (Kigam) | Fracking method at fracking intervals of a horizontal drilling zone in a sweet spot range determined based on measurements of resistivity and density in the horizontal drilling zone |
| CN105114047A (en) * | 2015-07-22 | 2015-12-02 | 西南石油大学 | Method utilizing logging information for determining optimal perforation layer for SRV fracturing |
| CN105156103A (en) * | 2015-09-29 | 2015-12-16 | 西南石油大学 | Debris-core-borehole-reservoir multiscale shale reservoir three-dimensional fracturing evaluation method |
| CN107092032A (en) * | 2017-05-15 | 2017-08-25 | 西安石油大学 | A kind of method of utilization well-log information quantitative assessment coal-bed gas exploitation complexity |
| CN108681635A (en) * | 2018-05-15 | 2018-10-19 | 中国石油天然气股份有限公司 | Compact reservoir volume fracturing compressibility evaluation method |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101929973B (en) * | 2009-06-22 | 2012-10-17 | 中国石油天然气股份有限公司 | Quantitative calculation method for hydrocarbon saturation of fractured reservoir |
-
2020
- 2020-02-20 CN CN202010106873.6A patent/CN111353218B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2867580A1 (en) * | 2013-10-15 | 2015-04-15 | Korea Institute Of Geoscience And Mineral Resources (Kigam) | Fracking method at fracking intervals of a horizontal drilling zone in a sweet spot range determined based on measurements of resistivity and density in the horizontal drilling zone |
| CN103713327A (en) * | 2013-12-31 | 2014-04-09 | 孙赞东 | Shale gas reservoir stratum minimum closing pressure evaluation method based on logging and seismic data |
| CN104314563A (en) * | 2014-10-21 | 2015-01-28 | 西安科技大学 | Logging quantitative evaluation method of coal bed methane reservoir fracturing capability |
| CN105114047A (en) * | 2015-07-22 | 2015-12-02 | 西南石油大学 | Method utilizing logging information for determining optimal perforation layer for SRV fracturing |
| CN105156103A (en) * | 2015-09-29 | 2015-12-16 | 西南石油大学 | Debris-core-borehole-reservoir multiscale shale reservoir three-dimensional fracturing evaluation method |
| CN107092032A (en) * | 2017-05-15 | 2017-08-25 | 西安石油大学 | A kind of method of utilization well-log information quantitative assessment coal-bed gas exploitation complexity |
| CN108681635A (en) * | 2018-05-15 | 2018-10-19 | 中国石油天然气股份有限公司 | Compact reservoir volume fracturing compressibility evaluation method |
Non-Patent Citations (2)
| Title |
|---|
| 致密储层可压裂性测井评价方法研究;刘之的等;《测井技术》;20170420(第02期);全文 * |
| 致密气储层可压裂性测井评价方法;孙建孟等;《石油学报》;20150115(第01期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111353218A (en) | 2020-06-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104314563B (en) | A kind of Quantitative Evaluation with Well Logging method of coalbed methane reservoir pressure break | |
| CN113534291B (en) | Quantitative prediction method for different-scale fractures of low-permeability reservoir under constraint of rock mechanical layer | |
| CN105986816B (en) | A method of shale formation dessert for identification | |
| CN106869911B (en) | Evaluation method for describing compressibility of shale reservoir | |
| CN105986817B (en) | A method of shale formation engineering dessert for identification | |
| CN113820750B (en) | Method for quantitatively predicting mudstone structural cracks based on elastoplastic mechanics | |
| CN111353218B (en) | Logging quantitative evaluation method for coal bed gas-dense gas reservoir compaction property | |
| Guo et al. | Evaluation of fracability and screening of perforation interval for tight sandstone gas reservoir in western Sichuan Basin | |
| CN106295042B (en) | A kind of coal seam top rock stability Quantitative Evaluation with Well Logging method | |
| Hoek et al. | Tunnelling in overstressed rock | |
| CN113283108B (en) | Method and system for quantitatively evaluating fracturing property of shale oil reservoir | |
| CN105527652A (en) | Well logging method and device for rock brittleness | |
| CN107092032B (en) | A method of utilizing well-log information quantitative assessment coal-bed gas exploitation complexity | |
| Guo et al. | Stress-strain-acoustic responses in failure process of coal rock with different height to diameter ratios under uniaxial compression | |
| CN104153767A (en) | Shale reservoir stratum Young modulus and Poisson's ratio obtaining method based on conventional logging data | |
| CN106223941A (en) | Shale gas reservoir organic porosity based on well-log information determines method | |
| Liu et al. | Different bedding loaded coal mechanics properties and acoustic emission | |
| Chen et al. | An Experimental Study of the Uniaxial Failure Behaviour of Rock‐Coal Composite Samples with Pre‐existing Cracks in the Coal | |
| CN104483706B (en) | A kind of Coal Pore Structure based on coal petrography mechanics parameter well logging quantitative identification method | |
| Cao et al. | Characteristics of modern geostress and removability of No. 15 coal reservoir, Yangquan mining area, China | |
| CN105370270A (en) | Method for determining gas saturation of shale gas reservoir by longitudinal-transverse wave time difference of dipole acoustic waves | |
| Wang et al. | Theory and application of pseudo-reservoir hydraulic stimulation for coalbed methane indirect extraction in horizontal well: Part 1—Theory | |
| CN116146176A (en) | Geological-engineering factor-based quantitative classification method for deep coalbed methane reservoir logging | |
| CN112945700A (en) | Fracture judgment method for anisotropic rock | |
| Nan et al. | Migration law of different top coal thicknesses in top coal caving |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |