CN108316918A - A kind of compact reservoir paleopressure computational methods based on fluid inclusion thermokinetics - Google Patents
A kind of compact reservoir paleopressure computational methods based on fluid inclusion thermokinetics Download PDFInfo
- Publication number
- CN108316918A CN108316918A CN201810110204.9A CN201810110204A CN108316918A CN 108316918 A CN108316918 A CN 108316918A CN 201810110204 A CN201810110204 A CN 201810110204A CN 108316918 A CN108316918 A CN 108316918A
- Authority
- CN
- China
- Prior art keywords
- inclusion
- paleopressure
- fluid
- compact reservoir
- oil
- 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.)
- Pending
Links
- 239000012530 fluid Substances 0.000 title claims abstract description 51
- 238000000205 computational method Methods 0.000 title claims abstract description 8
- 238000000265 homogenisation Methods 0.000 claims abstract description 31
- 238000012856 packing Methods 0.000 claims abstract description 22
- 239000003921 oil Substances 0.000 claims description 35
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims description 28
- 229930195733 hydrocarbon Natural products 0.000 claims description 10
- 150000002430 hydrocarbons Chemical class 0.000 claims description 10
- 238000012360 testing method Methods 0.000 claims description 9
- 239000007788 liquid Substances 0.000 claims description 7
- 239000004215 Carbon black (E152) Substances 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 6
- 239000000470 constituent Substances 0.000 claims description 5
- FAPWRFPIFSIZLT-UHFFFAOYSA-M Sodium chloride Chemical compound [Na+].[Cl-] FAPWRFPIFSIZLT-UHFFFAOYSA-M 0.000 claims description 4
- 239000010779 crude oil Substances 0.000 claims description 4
- 239000011780 sodium chloride Substances 0.000 claims description 4
- 229910052500 inorganic mineral Inorganic materials 0.000 claims description 3
- 238000005259 measurement Methods 0.000 claims description 3
- 239000011707 mineral Substances 0.000 claims description 3
- 238000005498 polishing Methods 0.000 claims description 3
- 238000005070 sampling Methods 0.000 claims description 3
- 238000000034 method Methods 0.000 abstract description 38
- 239000007789 gas Substances 0.000 description 15
- 238000005516 engineering process Methods 0.000 description 6
- 238000011156 evaluation Methods 0.000 description 3
- 238000013508 migration Methods 0.000 description 3
- 230000005012 migration Effects 0.000 description 3
- 239000000203 mixture Substances 0.000 description 3
- 239000011435 rock Substances 0.000 description 3
- 239000004575 stone Substances 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000011084 recovery Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- HPALAKNZSZLMCH-UHFFFAOYSA-M sodium;chloride;hydrate Chemical compound O.[Na+].[Cl-] HPALAKNZSZLMCH-UHFFFAOYSA-M 0.000 description 2
- 230000031068 symbiosis, encompassing mutualism through parasitism Effects 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 238000007334 copolymerization reaction Methods 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- GPRLSGONYQIRFK-UHFFFAOYSA-N hydron Chemical compound [H+] GPRLSGONYQIRFK-UHFFFAOYSA-N 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000005416 organic matter Substances 0.000 description 1
- 230000032258 transport Effects 0.000 description 1
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)
- Analysing Materials By The Use Of Radiation (AREA)
Abstract
A kind of compact reservoir paleopressure computational methods based on fluid inclusion thermokinetics, based on compact reservoir, make full use of the internal relation of fluid inclusion homogenization temperature and bubble packing density, structure is based on compact reservoir oil inclusions molar fraction and bubble packing density computation model, and then compact reservoir paleopressure is calculated, while putting forward compact reservoir paleopressure computational accuracy, technical support will be provided to improve compact reservoir geologic assessment；The present invention is directed to compact reservoir for the first time at home, it is proposed that calculates compact reservoir paleopressure method based on fluid inclusions homogenization temperature and bubble packing density, can effectively utilize Fluid inclusions body method, improve the computational accuracy of compact reservoir paleopressure.
Description
Technical field
The invention belongs to the geologic assessment technologies in fine and close exploration activity development technique, more particularly to a kind of to be based on Fluid inclusions
The calculation method of the dynamic (dynamical) compact reservoir paleopressure of body heat.
Background technology
Fine and close oil reservoir is considered non-economy type or sub- economy reservoir, in exploration or because of its non-object layer or because
The reasons such as reservoir damage fail to give always fine and close oil in relation to the enough attention of oil/gas show.Compact oil reservoir generally has exception stream
Body pressure, abnormal pressure is always squeezed with fine and close oily reservoir lithology, construction and the rich hydrocarbon source rock of organic matter is related.High pressure is formed to cause
The main mechanism of close oil reservoir is being continuously generated for hydro carbons oil gas, and when Hydrocarbons Accumulating Quantity is more than dissipation amount, oil reservoir generally presents super
High pressure, in addition tectogenetic strong extruding cause blowhole reduced space, fluid to form high pressure.
The evolution of sedimentary basin pressure field is current Research Challenges, has become indispensable composition portion in basin analysis
Point, increasingly important role is played in Hydrocarbon accumulation process.The method for restoring paleopressure at present mainly has fluid inclusion
Method and basin modelling method.It can only restore paleopressure when reservoir hydrocarbons filling using fluid inclusion, but to fine and close mud stone
The recovery of paleopressure is but difficult to realize.Basin modelling method can be used for restoring fine and close mud stone paleopressure, but due to current quotient
Pressure model is not very perfect in industry software part, therefore also is difficult to quantitative reconstruction mud stone paleopressure.
The method for reproducing pressure when sedimentary basin fluid transports poly- by Fluid inclusions body method both at home and abroad mainly experienced 2
Stage：(1) technology is crushed：The pressure of gas phase in inclusion enclave is directly measured earliest by Roedder by crushing fluid inclusion
(1970) it proposes, this method is of limited application, and can greatly underestimate pressure of the inclusion enclave for being full of gas under contact conditions
Power.Coveney (1987) improves crushing technology, utilizes Gay-Lussac's law (P1/P2=T1/T2) package can be directly obtained
Trapping pressure of body under the conditions of homogenization temperature.Such crushing technology is applied directly to near-earth supercrust rock and made by Newell (1999)
With research, pass through the internal pressure for the gas/liquid Immiscible fluid inclusion enclave captured under the conditions of near surface that crushing technology obtains
Close to its trapping pressure.(2) isochor intersection method：Limitation for the fluid inclusion paleopressure restoration methods damaged and essence
Degree, a series of lossless fluid inclusions restore paleopressure method and are applied.Such as temperature salinity method, NaCl-H2O solution packets
Wrap up in the density type and constant volume type method, CO of body2Content method, Immiscible fluid inclusion enclave method, fluid inclusion thermodynamic modeling method
Deng.Although difference, its basic principle are the same to these methods, i.e., be all according to two kinds and meanwhile capture fluid
Isochor necessarily intersects at capture point principle on P-T phasors.CO2Content method application range is relatively narrow, temperature salinity method and NaCl-
H2Although the density type and constant volume type method of O solution inclusion enclaves compensate for CO2Content method disadvantage, however both methods excessively simplifies
Basin-Fluid, fluid inclusion salinity can be equivalent at NaCl-H2O systems, however its phasor cannot be equivalent；In addition,
Both methods does not account for the influence of solution gas, forefathers studies have shown that methane gas content and salinity to fluid inclusion
P-T phasors be affected, do not consider the influence of solution gas, paleopressure recovery will generate great error.In recent years, utilizing
The unmixing capture of hydrocarbon fluid inclusion enclave and saline inclusion and the PVT thermodynamic modeling methods of hydrocarbon fluid to grow up
Have become the important method of determining paleopressure.Aplin etc. (1999) is using the success of PVTsim thermodynamic modeling softwares
Paleopressure when separate fluid inclution is captured is restored.But limit at present its simulation precision major parameter be Fluid Inclusion Compositions and
Bubble packing density is difficult to obtain exact value, therefore analog result has large error.
From the point of view of existing method, even fine and close storage is not calculated using fluid inclusions homogenization temperature and bubble packing density
The method of layer paleopressure, this makes troubles to the evaluation of compact reservoir oil and gas development.
Invention content
In order to overcome the shortcomings of above-mentioned existing method, it is dynamic based on Fluid inclusions body heat that the purpose of the present invention is to provide one kind
The calculation method of the compact reservoir paleopressure of mechanics is directed to compact reservoir for the first time, is based on Fluid inclusions body method, abandons
The fluid inclusions thermodynamic modeling software original components parameter such as PVTsim, PIT, makes full use of inclusion enclave homogenization temperature, gas
The internal relation of packing density is steeped, structure is based on compact reservoir paleopressure computation model, improves compact reservoir paleopressure computational accuracy
While, technical support will be provided for reservoir exploitation evaluation precision.
In order to achieve the above object, the technical scheme is that：
A kind of computational methods of the compact reservoir paleopressure based on fluid inclusion thermokinetics, include the following steps：
Step 1: fluid inclusions homogenization temperature measures, principle when measurement is：(1) it is to avoid inclusion enclave is non-from uniform catching
The influence to test is obtained, the fluid inclusion small, that bubble packing density is small of selection individual is tested；(2) selection is wrapped up with hydro carbons
The coeval aqueous inclusions of body symbiosis are measured；(3) choosing can most reflect the fluid inclusion in the mineral of diagenetic environment.
Step 2: bubble packing density Fv is sought：The two-sided polishing petrographic thin section of fluid inclusion is placed in laser scanning copolymerization
On the objective table of focusing microscope, the gas-liquid two-phase Organic Inclusion that can be used for testing is found under ultraviolet light, will be waited for later
Sample be placed under 60x oil mirrors carry out laser scanning image acquisition, due to liquid portion fluoresces and gas part is not sent out glimmering
Light significantly distinguishes both to make.Later, in laser scanning microscope computer control software FV10-ASWl.5,
Ding Di circle of Organic Inclusion to be scanned is set, that is, depth when Organic Inclusion fluorescence disappears when moving up electric platforms is
Bottom circle, depth when fluorescence disappears when moving down electric platforms are top circle, and it is 0.1Uum that the vertical sampling interval, which is arranged, using depth
Degree scan pattern is scanned, and is scanned using transmitted light and fluorescence binary channels, vertical serial two dimension slicing is obtained, by acquisition
Serial two-dimension picture carries out the reconstruction of 3-D view.
Step 3: determining the internal relation of inclusion enclave homogenization temperature and bubble packing density：Using the major basin in the world from black
The oil sample of oil to a detected components of condensate more than 100 finds different homogenization temperatures in the iterative calculation of matching saturation pressure
Lower oil inclusions C7+Component molar score has apparent functional relation with bubble packing density, and establishes relational expression, and formula is such as
Under：
X(CH4)=- 1.434 × 10-7X(C7+)5+4.065×10-5X(C7+)4- 4.24 × 10-3X(C7+)3+2.051×
10-1X(C7+)2- 5.509X (C7+)+1.08×102---------------(1)
In formula：X(CH4) it is CH4Molar fraction；X(C7+) it is C7+The molar fraction of heavy constituent.
In view of methane is to the sensibility of pressure, fitting finds CH in the case of different homogenization temperatures4Molar fraction and crude oil
Saturation pressure (Ph) also have good correlation, it is a quadratic polynomial, i.e.,：
Ph=mX (CH4)2+nX(CH4)+a--------------(2)
In formula：M, n, a are directly determined by oil inclusions homogenization temperature；M, n, a indicate constant
Assuming that Ttra=Thoil+ 5, trapping pressure also with X (CH4) tool correlation, therefore trapping pressure and saturation pressure are X
(CH4) function, the slope of isochor can be acquired, and then acquire its equation (3), to obtain capture when paleopressure
(Ptra), formula is as follows：
Ptra=Ph+(PThoil+5- Ph)/5(Ttra- Thoil)--------------------------(3)
In formula：Capture temperature TtraIt is approximately equal to saline inclusion homogenization temperature Taqu；ThoilFor oil inclusions homogenization temperature；
PtraFor trapping pressure；PhFor saturation pressure；PThoil+5For Ttra=ThoilCorresponding trapping pressure at+5 DEG C.
The effect of invention
The present invention has abandoned inclusion enclave original components parameter, only uses oil inclusions homogenization temperature, the coeval aqueous inclusions
Packing density Fv this 3 parameters that homogenization temperature and laser confocal scanning microscope determine, thus precision is also improved,
Nor with traditional thermodynamic modeling software is relied on, cost is reduced.
The present invention is based on a kind of computational methods of the compact reservoir paleopressure of fluid inclusion thermokinetics, the Gu calculated
Compared with the paleopressure of basin modelling, precision greatly improves pressure value.
Description of the drawings
Fig. 1 is the compact reservoir paleopressure computational methods flow chart in the present invention.
Fig. 2 is the compact reservoir difference homogenization temperature oil inclusions C in the present invention7+Component molar score is with packing density Fv's
Relationship.
Fig. 3 is compact reservoir paleopressure result of calculation and Migration Characteristics of Oil And Gas figure in the present invention.
Specific implementation mode
Technical scheme of the present invention is described in detail below in conjunction with the accompanying drawings.
Referring to Fig.1, a kind of computational methods of the compact reservoir paleopressure based on fluid inclusion thermokinetics, including it is following
Step：
Step 1: fluid inclusions homogenization temperature measures, principle when measurement is：(1) it is to avoid inclusion enclave is non-from uniform catching
The influence to test is obtained, the fluid inclusion smaller, that bubble packing density is smaller of selection individual is tested；(2) selection and hydrocarbon
The coeval aqueous inclusions of class inclusion enclave symbiosis are measured；(3) it preferably can most reflect the fluid packet in the mineral of diagenetic environment
Wrap up in body.
It is the THMS600G automatic cooling/heating platforms of Linkam companies of Britain production using instrument, evaluated error is ± 0.1 DEG C；It is aobvious
Micro mirror is that Japanese firm produces Likon, separately wears 100 times of long-focus working lens heads.The thermometric experiment of fluid inclusion fully complies with
Professional standard, while using the thought of inclusion enclave combination, the inclusion enclave in same combination, bubble packing density is identical or is closer to
Its test result it is more reliable, avoid influence of the inclusion enclave later stage deformation to test as possible in this way.
Step 2: bubble packing density Fv is sought：Using the 000 type Laser Scanning Confocal Microscopes of OYLMPUS FV1 of newest introduction,
Mainly by LASER Illuminator System, scanning-detecting system, automatically just setting fluorescence microscope system, computer system and related software
Deng composition.Equipped with FV10 scanning elements, there are three fluorescence channels, using multi-thread hydrogen ion laser light source can generate 458nm,
The laser of 488nm and 5l4nm wavelength, power 20mw, electronmicroscopic level (x-y) resolution ratio is approximately 0.2um, and vertical resolution can
Up to 0.1um.Microscopic system is that OLYMPUS BX61 types just set microscope, and being equipped with 60x high-resolution oil mirror, (numerical aperture is
1.42)。
The two-sided polishing petrographic thin section of fluid inclusion is placed on the objective table of laser scanning co-focusing microscope, ultraviolet
Light irradiation is lower to find the gas-liquid two-phase Organic Inclusion that can be used for testing, and sample to be tested is placed under 60x oil mirrors swashs later
The acquisition of photoscan picture, due to liquid portion fluoresces and gas part both does not fluoresce to make significantly to distinguish
Come.Later, in laser scanning microscope computer control software FV10-ASWl.5, the top of Organic Inclusion to be scanned is set
(depth when Organic Inclusion fluorescence disappears when both having moved up electric platforms is bottom circle, when moving down electric platforms on bottom circle
Depth when fluorescence disappears is top circle), it is 0.1Uum that the vertical sampling interval, which is arranged, is scanned using depth scan pattern, and
It is scanned using transmitted light and fluorescence binary channels, obtains vertical serial two dimension slicing.The serial two-dimension picture of acquisition is being commercialized
It is opened in image processing software IPP (Image-Pro Plus 5.1), graphics is carried out using the three-dimensional reconstruction function of the software
The reconstruction of picture.
Step 3: determining the internal relation of inclusion enclave homogenization temperature and bubble packing density：Using the major basin in the world from black
The oil sample of oil to a detected components of condensate more than 100 finds different homogenization temperatures in the iterative calculation of matching saturation pressure
Lower oil inclusions C7+Component molar score has apparent functional relation (Fig. 2) with bubble packing density, and establishes relational expression.Mainly
By its CH of the crude oil of source rock evolution level control4Etc. light components and C7+Heavy constituent content is often negatively correlated.Group passes through more than 100
The CH of a oil sample4With C7+Heavy constituent molar fraction data fit the good negative correlation of the two to analysis, and formula is as follows：
X(CH4)=- 1.434 × 10-7X(C7+)5+4.065×10-5X(C7+)4- 4.24 × 10-3X(C7+)3+2.051×
10-1X(C7+)2- 5.509X (C7+)+1.08×102---------------(1)
In formula：X(CH4) it is CH4Molar fraction；X(C7+) it is C7+The molar fraction of heavy constituent.
It can success prediction oil inclusions methane content according to formula (1).It, may the two in view of methane is to the sensibility of pressure
There are certain inner link, fitting finds CH in the case of different homogenization temperatures4Molar fraction also has with crude oil saturation pressure (Ph)
Good correlation is a quadratic polynomial, i.e.,：
Ph=mX (CH4)2+nX(CH4)+a--------------(2)
In formula：M, n, a are directly determined by oil inclusions homogenization temperature；M, n, a indicate constant
When homogenization temperature and smaller capture temperature gap, saturation pressure is roughly equal with trapping pressure；Assuming that Ttra=
Thoil+ 5 (difference is sufficiently small), trapping pressure also with X (CH4) tool correlation, therefore trapping pressure and saturation pressure are X (CH4)
Function, the slope of isochor can be acquired, and then acquire its equation (3), to obtain capture when paleopressure (Ptra),
Formula is as follows：
Ptra=Ph+(PThoil+5- Ph)/5(Ttra- Thoil)--------------------------(3)
In formula：Capture temperature TtraIt is approximately equal to saline inclusion homogenization temperature Taqu；ThoilFor oil inclusions homogenization temperature；
PtraFor trapping pressure；PhFor saturation pressure；PThoil+5For Ttra=ThoilCorresponding trapping pressure at+5 DEG C.
Reservoir paleopressure method is calculated in practical oil and gas reservoir based on fluid inclusion thermokinetics conventional simulation
It is tried out.In the application of the compact reservoir paleopressure of the wellblocks X, with reference to Fig. 3, according to one geologic section oil inclusions of East and West direction
Fluorescence parameter compares it is found that it is from West to East, according to fluid inclusion thermokinetics that high beach dumping site, which has a phase oil migration direction,
Analog result shows that once modern phase oil migration is set by golden 191 well locations, and this time reservoir paleopressure is 22.59MPa.
Inclusion enclave fluorescence parameter method and fluid inclusion thermodynamic modeling method are compared it is found that after new method use,
It can accurately judge oil-gas formation phase time and reservoir paleopressure.This method reduces the influence of other parameters to a certain extent, than
The more efficient and convenient requirement for enough meeting the evaluation of compact reservoir paleopressure.Therefore it while the method improves paleopressure precision, reduces
The costs such as time, manpower and financial resources have certain application value.
It will be understood by those of skill in the art that since compact reservoir paleopressure is also influenced by other geologic(al) factors, it is
Ensure the effective and feasible property of this method, it is necessary to which battle support laboratory obtains inclusion enclave homogenization temperature and bubble packing density is preferable, base
Just there is higher precision in the compact reservoir paleopressure analog result of fluid inclusion thermokinetics.
Claims (1)
1. a kind of computational methods of the compact reservoir paleopressure based on fluid inclusion thermokinetics, which is characterized in that including with
Lower step：
Step 1: fluid inclusions homogenization temperature measures, principle when measurement is：(1) it is to avoid the non-uniform capture pair of inclusion enclave
The influence of test, the fluid inclusion small, that bubble packing density is small of selection individual are tested；(2) selection and hydrocarbon inclusion are total
Raw the coeval aqueous inclusions are measured；(3) choosing can most reflect the fluid inclusion in the mineral of diagenetic environment.
Step 2: bubble packing density Fv is sought：The two-sided polishing petrographic thin section of fluid inclusion is placed in laser scanning co-focusing to show
On the objective table of micro mirror, the gas-liquid two-phase Organic Inclusion that can be used for testing is found under ultraviolet light, will wait for test sample later
Product be placed under 60x oil mirrors carry out laser scanning image acquisition, due to liquid portion fluoresces and gas part does not fluoresce from
And the two is made significantly to distinguish.Later, in laser scanning microscope computer control software FV10-ASWl.5, setting
Ding Di circle of Organic Inclusion to be scanned, that is, depth when Organic Inclusion fluorescence disappears when moving up electric platforms are bottom
Boundary, depth when fluorescence disappears when moving down electric platforms are top circle, and it is 0.1Uum that the vertical sampling interval, which is arranged, using depth
Scan pattern is scanned, and is scanned using transmitted light and fluorescence binary channels, and vertical serial two dimension slicing is obtained, and what it is by acquisition is
Row two-dimension picture carries out the reconstruction of 3-D view.
Step 3: determining the internal relation of inclusion enclave homogenization temperature and bubble packing density：Using the major basin in the world from dirty oil to
The oil sample of a detected components of condensate more than 100 is found oily under different homogenization temperatures in the iterative calculation of matching saturation pressure
Inclusion enclave C7+Component molar score has apparent functional relation with bubble packing density, and establishes relational expression, and formula is as follows：
X(CH4)=- 1.434 × 10-7X(C7+)5+4.065×10-5X(C7+)4- 4.24 × 10-3X(C7+)3+2.051×10-1X
(C7+)2- 5.509X (C7+)+1.08×102---------------(1)
In formula：X(CH4) it is CH4Molar fraction；X(C7+) it is C7+The molar fraction of heavy constituent.
In view of methane is to the sensibility of pressure, fitting finds CH in the case of different homogenization temperatures4Molar fraction and crude oil saturation pressure
Power (Ph) also has good correlation, is a quadratic polynomial, i.e.,：
Ph=mX (CH4)2+nX(CH4)+a--------------(2)
In formula：M, m, a are directly determined by oil inclusions homogenization temperature；M, n, a indicate constant；
Assuming that Ttra=Thoil+ 5, trapping pressure also with X (CH4) tool correlation, therefore trapping pressure and saturation pressure are X
(CH4) function, the slope of isochor can be acquired, and then acquire its equation (3), to obtain capture when paleopressure
(Ptra), formula is as follows：
Ptra=Ph+(PThoil+5- Ph)/5(Ttra- Thoil)--------------------------(3)
In formula：Capture temperature TtraIt is approximately equal to saline inclusion homogenization temperature Taqu；ThoilFor oil inclusions homogenization temperature；PtraTo catch
Obtain pressure；PhFor saturation pressure；PThoil+5For Ttra=ThoilCorresponding trapping pressure at+5 DEG C.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810110204.9A CN108316918A (en) | 2018-02-05 | 2018-02-05 | A kind of compact reservoir paleopressure computational methods based on fluid inclusion thermokinetics |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810110204.9A CN108316918A (en) | 2018-02-05 | 2018-02-05 | A kind of compact reservoir paleopressure computational methods based on fluid inclusion thermokinetics |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108316918A true CN108316918A (en) | 2018-07-24 |
Family
ID=62902738
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810110204.9A Pending CN108316918A (en) | 2018-02-05 | 2018-02-05 | A kind of compact reservoir paleopressure computational methods based on fluid inclusion thermokinetics |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108316918A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109458173A (en) * | 2018-10-22 | 2019-03-12 | 中国地质大学（武汉） | A kind of method in determining natural gas origin period |
| CN109580702A (en) * | 2018-11-26 | 2019-04-05 | 中国石油大学(北京) | A kind of homogenization temperature of fluid inclusion and the measuring method of freezing point temperature |
| CN113309511A (en) * | 2021-07-13 | 2021-08-27 | 西安石油大学 | Method for acquiring compact oil accumulation power |
| CN113818868A (en) * | 2021-06-22 | 2021-12-21 | 中海油能源发展股份有限公司 | Reservoir original temperature calculation method |
| CN114814983A (en) * | 2021-01-27 | 2022-07-29 | 中国石油化工股份有限公司 | Method and system for measuring uniform pressure of methane-rich inclusion in reservoir calcite |
-
2018
- 2018-02-05 CN CN201810110204.9A patent/CN108316918A/en active Pending
Non-Patent Citations (3)
| Title |
|---|
| 王伟力: "鄂尔多斯盆地中东部上古生界致密砂岩气藏成藏模式及分布规律", 《中国博士学位论文全文数据库.基础科学辑》 * |
| 王存武等: "激光扫描共聚焦显微镜精确测量有机包裹体气液比方法研究", 《现代科学仪器》 * |
| 苏奥等: "流体包裹体PVTX 模拟研究油气充注期次和古压力恢复：以西湖凹陷平湖构造带为例", 《地质科技情报》 * |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109458173A (en) * | 2018-10-22 | 2019-03-12 | 中国地质大学（武汉） | A kind of method in determining natural gas origin period |
| CN109580702A (en) * | 2018-11-26 | 2019-04-05 | 中国石油大学(北京) | A kind of homogenization temperature of fluid inclusion and the measuring method of freezing point temperature |
| CN109580702B (en) * | 2018-11-26 | 2020-10-16 | 中国石油大学(北京) | Method for measuring uniform temperature and freezing point temperature of fluid inclusion |
| CN114814983A (en) * | 2021-01-27 | 2022-07-29 | 中国石油化工股份有限公司 | Method and system for measuring uniform pressure of methane-rich inclusion in reservoir calcite |
| CN114814983B (en) * | 2021-01-27 | 2024-08-13 | 中国石油化工股份有限公司 | Method and system for determining uniform pressure of methane-rich inclusion in reservoir calcite |
| CN113818868A (en) * | 2021-06-22 | 2021-12-21 | 中海油能源发展股份有限公司 | Reservoir original temperature calculation method |
| CN113818868B (en) * | 2021-06-22 | 2023-07-18 | 中海油能源发展股份有限公司 | Calculation method of reservoir original temperature |
| CN113309511A (en) * | 2021-07-13 | 2021-08-27 | 西安石油大学 | Method for acquiring compact oil accumulation power |
| CN113309511B (en) * | 2021-07-13 | 2023-08-25 | 西安石油大学 | Method for obtaining tight oil reservoir power |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108316918A (en) | A kind of compact reservoir paleopressure computational methods based on fluid inclusion thermokinetics | |
| AU2002245231B2 (en) | Method to evaluate the hydrocarbon potential of sedimentary basins from fluid inclusions | |
| Li et al. | Nanomechanical characterization of organic matter in the Bakken formation by microscopy-based method | |
| Wang et al. | Oil content and resource quality evaluation methods for lacustrine shale: A review and a novel three-dimensional quality evaluation model | |
| Ahmadov et al. | Confocal laser scanning and atomic-force microscopy in estimation of elastic properties of the organic-rich Bazhenov Formation | |
| Chen et al. | Identification of organic matter components and organic pore characteristics of marine shale: A case study of Wufeng-Longmaxi shale in southern Sichuan Basin, China | |
| CN104153770B (en) | Simulation method and system for shale hydrocarbon generation and organic pore evolution | |
| Torsaeter et al. | Nanostructure vs. macroscopic properties of Mancos Shale | |
| Lloyd | Modern distribution of benthic foraminifera from Disko Bugt, West Greenland | |
| CN102297840A (en) | Single inclusion analysis process for confirming accumulation key moment of oil gas | |
| CN107389648B (en) | A kind of identification of 3-D quantitative fluorescent characteristics peak and fluid type judgment method | |
| Liu et al. | Temperature and pressure characteristics of Ordovician gas condensate reservoirs in the Tazhong area, Tarim Basin, northwestern China | |
| Gao et al. | Using laser scanning confocal microscopy combined with saturated oil experiment to investigate the pseudo in-situ occurrence mechanism of light and heavy components of shale oil in sub-micron scale | |
| Kamiya et al. | Major variations in vitrinite reflectance and consolidation characteristics within a post-middle Miocene forearc basin, central Japan: A geodynamical implication for basin evolution | |
| Valentine et al. | Applications of correlative light and electron microscopy (CLEM) to organic matter in the North American shale petroleum systems | |
| Al-Bazzaz et al. | Investigation Wettability Contact Angle Measurement in Kuwaiti Heavy Oil Reservoir and Modeling Using 2D Imaging Technologies | |
| Wang et al. | Reservoir characteristics and oil properties of a lacustrine shale system: Early Jurassic black shale from the Sichuan Basin, SW China | |
| Su et al. | Integrated fluid inclusion analysis and petrography constraints on the petroleum system evolution of the central and southern Biyang Sag, Nanxiang Basin, Eastern China | |
| Wang et al. | Maceral evolution of lacustrine shale and its effects on the development of organic pores during low mature to high mature stage: A case study from the Qingshankou Formation in northern Songliao Basin, northeast China | |
| Wang et al. | Combining atomic force microscopy and nanoindentation helps characterizing in-situ mechanical properties of organic matter in shale | |
| Wilson et al. | The influence of primary and secondary sedimentary features on reservoir quality: Examples from the Geneseo Formation of New York, USA | |
| Wang et al. | Recent techniques on analyses and characterizations of shale gas and oil reservoir | |
| Chen et al. | Geothermometry and geobarometry of overpressured environments in Qiongdongnan Basin, South China Sea | |
| Zhu et al. | Occurrence and mobility of shale oil in the Jiyang Depression, eastern China | |
| Elyasi | Petroleum source-rock potential of the Piranj oil field, Zagros basin |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180724 |