CN106368694A - Porosity evolution recovery and physical property prediction method for complex area reservoir - Google Patents
Porosity evolution recovery and physical property prediction method for complex area reservoir Download PDFInfo
- Publication number
- CN106368694A CN106368694A CN201611008494.3A CN201611008494A CN106368694A CN 106368694 A CN106368694 A CN 106368694A CN 201611008494 A CN201611008494 A CN 201611008494A CN 106368694 A CN106368694 A CN 106368694A
- Authority
- CN
- China
- Prior art keywords
- reservoir
- evolution
- depth
- physical property
- porosity
- 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.)
- Granted
Links
- 230000000704 physical effect Effects 0.000 title claims abstract description 30
- 238000000034 method Methods 0.000 title claims abstract description 15
- 238000011084 recovery Methods 0.000 title abstract 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 28
- 230000035699 permeability Effects 0.000 claims abstract description 16
- 229930195733 hydrocarbon Natural products 0.000 claims abstract description 9
- 150000002430 hydrocarbons Chemical class 0.000 claims abstract description 9
- 239000011435 rock Substances 0.000 claims abstract description 7
- 238000005056 compaction Methods 0.000 claims abstract description 6
- 238000005553 drilling Methods 0.000 claims abstract description 6
- 238000012937 correction Methods 0.000 claims abstract description 5
- 239000004576 sand Substances 0.000 claims abstract description 5
- 239000004215 Carbon black (E152) Substances 0.000 claims abstract description 4
- 230000011218 segmentation Effects 0.000 claims abstract description 3
- 239000011148 porous material Substances 0.000 claims description 26
- 206010027336 Menstruation delayed Diseases 0.000 claims description 8
- 239000013535 sea water Substances 0.000 claims description 6
- 238000004088 simulation Methods 0.000 claims description 5
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 claims description 4
- UZVHFVZFNXBMQJ-UHFFFAOYSA-N butalbital Chemical compound CC(C)CC1(CC=C)C(=O)NC(=O)NC1=O UZVHFVZFNXBMQJ-UHFFFAOYSA-N 0.000 claims description 3
- 239000012530 fluid Substances 0.000 claims description 3
- 230000001133 acceleration Effects 0.000 claims description 2
- 229910002092 carbon dioxide Inorganic materials 0.000 claims description 2
- 239000001569 carbon dioxide Substances 0.000 claims description 2
- 230000008021 deposition Effects 0.000 claims description 2
- 230000010429 evolutionary process Effects 0.000 claims description 2
- 230000005484 gravity Effects 0.000 claims description 2
- 238000009863 impact test Methods 0.000 claims description 2
- 238000005259 measurement Methods 0.000 claims description 2
- 150000007524 organic acids Chemical class 0.000 claims description 2
- 239000004575 stone Substances 0.000 claims description 2
- 238000002347 injection Methods 0.000 claims 1
- 239000007924 injection Substances 0.000 claims 1
- 238000004090 dissolution Methods 0.000 abstract description 3
- 238000000638 solvent extraction Methods 0.000 abstract 1
- 239000007789 gas Substances 0.000 description 4
- 206010002961 Aplasia Diseases 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 2
- 238000011002 quantification Methods 0.000 description 2
- 241001074085 Scophthalmus aquosus Species 0.000 description 1
- 239000003570 air Substances 0.000 description 1
- 239000004927 clay Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 239000003345 natural gas Substances 0.000 description 1
- 239000000843 powder Substances 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)
- Geophysics And Detection Of Objects (AREA)
- Investigation Of Foundation Soil And Reinforcement Of Foundation Soil By Compacting Or Drainage (AREA)
Abstract
The invention discloses a porosity evolution recovery and physical property prediction method for a complex area reservoir. The porosity evolution recovery and physical property prediction method comprises the steps 1, partitioning and segmentation are performed under the condition that main reservoir physical property controlling factors are determined based on porosity evolution; 2, hole and seepage data is actually measured according to geological conditions; 3, a hole and seepage evolution model about porosity, permeability and deep burying change is established; 4, for the influence existing in the western deep water area of the south China sea due to different water depth conditions and differential rock compaction, shallow layer sand/mud rock compaction correction is conducted on water depth, further a correction layer stratum is applied to deeply predict burying depth lower limits of physical characteristics in areas different in water depth condition and the corresponding depth physical characteristics. According to the method, porosity and permeability evolution models with compaction as porosity evolution main controlling zones and relevant to early-stage overpressure, later-stage overpressure, early-stage hydrocarbon charging protection or later-stage dissolution improvement and different water depth conditions are established, real drilling shows that porosity errors are about +/-1%, and the permeability is in a prediction range.
Description
Technical field
The present invention relates to reservoir pore space evolution techniques field, specifically one kind are for complicated field reservoir pore space
Develop and recover and physical property Forecasting Methodology.
Background technology
THE WESTERN SOUTH CHINA SEA forefathers develop for reservoir pore space and recover and physical property prediction, from reservoir looks now, how from pressure
Real impact angle considers and carries out, the complicated geological factor to impact reservoir evolution and crucial geologic(al) period reservoir properties feature etc.
Consider not, especially for the complicated geological factor being faced with middle-deep beds exploration, such as early stage superpressure, relatively late superpressure is to reservoir
The differentia influence developed and influence degree;The filling of early stage hydro carbons, the protection of authigenic clay involucrum are improved with later stage dissolution;The depth of water
Condition and rock differential compaction etc..
Content of the invention
Present invention aims to the defect of prior art and deficiency, there is provided one kind is for complicated field reservoir hole
Gap develops and recovers and physical property Forecasting Methodology.
For achieving the above object, the technical solution used in the present invention is:
A kind of evolution for complicated field reservoir pore space recovers and physical property Forecasting Methodology, and step is as follows:
First, the oil gas based on the simulation of reservoir mechanical ramming and geological conditions actual participation, organic acid, carbon dioxide, air
The crucial diagenesis that the water-rock of water or other fluid impact tests forward simulation with stratum inverting is peeled back to each crucial geologic(al) period is special
Levy and diagenesis occur before pore character, quantitative reconstruction complicated deposition diagenesis field background reservoir pore space evolutionary process, clearly
Reservoir properties Dominated Factors and crucial geologic(al) factor (temperature, pressure, fluid etc.) influence degree.
2nd, it is based on pore evolution to recover to determine under reservoir properties Dominated Factors, subregion (early stage hydro carbons filling protection zone or not
Filling area, under difference thermobaric field background, early stage superpressure or late period superpressure or aplasia superpressure area etc.), segmentation is (as superpressure develops section
With aplasia section, dissolution develop section and aplasia section etc.) according to reservoir area hole, ooze evolution and Diagenetic Evolution, time
Return porosity evolution curve under the conditions of difference geology, drill in conjunction with comprehensive hole is peeled back to stratum inverting based on reservoir forward simulation
Change the pore evolution curve of quantitative reconstruction foundation or drilling well actual measurement physical property carries out geological conditions correction (early stage superpressure, early stage oil gas
Filling is more than late period superpressure, protection of And Late Hydrocarbon filling etc. to the degree of protection of reservoir), set up zones of different or different section,
Different grain size or sorting lithology, high thermal/high-temperature pressure/reservoir porosity such as middle temperature superpressure, different water depth condition with bury
The evolutionary model of depth, thermal evolution parameter etc.;
3rd, survey hole, ooze data according to geological conditions, return different lithology sandstone hole, ooze relation, set up permeability evolution
Model;
4th, with the hole of the porosity of foundation, permeability and buried depth change, ooze evolutionary model, under prediction different geological conditions
The depth boundary line of size fractionated or each physical property of sorting sandstone reservoir and each depth bounds difference lithofacies characteristics reservoir properties feature;
5th, it is directed to THE WESTERN SOUTH CHINA SEA profundal zone to exist due to the impact of different water depth condition and rock differential compaction, to depth
When pool reservoir buried depth lower limit is predicted with physical property, corrected using the depth of water is carried out with shallow-layer sand/mudstone compacting, and then apply correction ground
Layer depth predicts the buried depth lower limit of each physical property characteristic of different water depth condition and corresponding depth physical property characteristic, and updating formula is as follows: ρGround
ghGround=ρSea waterghThe depth of water.
Further, described ρ ground is through certain shallow-layer sand being compacted, mud stone density, adopts about 2.1g/cm3, this density
Correspond to reservoir porosity about 35%.
Further, described ρSea waterFor density of sea water, about 1.025g/cm3.
Further, described hGroundFor buried depth of strata.
Further, described hThe depth of waterFor depth of water depth.
Further, described g is gravity acceleration constant.
The invention has the benefit that the present invention can widely use in THE WESTERN SOUTH CHINA SEA emphasis oil, gas exploration field, quantification
Recover pore evolution, set up be compacted for pore evolution master control area and early stage superpressure, late period superpressure, the filling protection of early stage hydro carbons or
Late period dissolving improves and different water depth condition reservoir porosity and permeability evolution model, prediction emphasis area each physical property characteristic buried depth
Lower limit and Favorable Areas buried depth scope physical property characteristic, success evaluation highest priority, promote and bore in drilling well, real boring shows porosity by mistake
± 1% about more than differing from, permeability is in estimation range.
Specific embodiment
In order that the objects, technical solutions and advantages of the present invention become more apparent, below in conjunction with specific embodiment, right
The present invention is further elaborated.It should be appreciated that specific embodiment described herein is only in order to explain the present invention, and
It is not used in the restriction present invention.
Embodiment one:
Taking be compacted as the x area of pore evolution Dominated Factors as a example, establish region apertures, ooze evolutionary model, specify superfine, thin
With middle sandstone respectively 2250,2600,3200m be less than 15% with deep reservoir average pore, hone, packsand exist respectively
2850m, 3500m are less than 10% with deep reservoir porosity, and prediction b well buried depth 1850m-2000m packsand porosity is 17.5%
~24.9%, average out to 21.2%, permeability is in 5~393md, averagely about 58md, middle sandstone porosity average 23.5%;Real brill
Packsand porosity average out to 21.7%, permeability in 2.7~317.3md, middle sandstone average pore about 24.3%.
Embodiment two:
Taking be compacted the y area affecting with superpressure, the filling of early stage hydro carbons as a example, specify region each structural differences Dominated Factors, build
Vertical Depression Centers early stage superpressure and hydrocarbon charge protection, depression slope belt late period superpressure and natural gas origin, sloped region normal pressure band
Porosity evolution model, prediction Depression Centers buried depth 3900~4200m is superfine-packsand reservoir porosity 13~18%, low-
Middle hole characteristic, mean permeability 16~34md;Prediction depression slope belt buried depth 3500~4500m is thin, middle sandstone reservoir physical property is
In, low hole (10~16%) feature;Sloped region high-temperature pressure area is thin for prediction, middle sandstone respectively in 3900m, 4800m with deep reservoir
Porosity is less than 10%.
Embodiment three:
Taking deep water z area as a example, with the having of the buried depth of strata 3700~4000m Prediction of Reservoir Porosity depth of water about 600m in model
Profit construction buried depth 4000~4300m (containing the depth of water) reservoir porosity, predicts powder, packsand porosity between 16~26%, in conjunction with
The hole of region drilling well, ooze relation, prediction mean permeability is in 1~25md, but there is local and lead to permeability because of the miscellaneous base of high shale content
Less than the risk of 1md, predictive study area is in buried depth 3900m, 4900m (converting the depth of water for shallow layer stratum buried depth) with deep reservoir hole
Porosity is less than 15%.
This specific embodiment can widely use in THE WESTERN SOUTH CHINA SEA emphasis oil, gas exploration field, and quantification is recovered hole and drilled
Change, set up to be compacted change with early stage superpressure, late period superpressure, the filling protection of early stage hydro carbons or late period dissolving for pore evolution master control area
Kind and different water depth condition reservoir porosity and permeability evolution model, the buried depth lower limit of each physical property characteristic in prediction emphasis area with have
Sharp area buried depth scope reservoir properties feature, success evaluation highest priority, promote and bore in drilling well, real boring shows that porosity error is many
± 1% about, permeability is in estimation range.
It is obvious to a person skilled in the art that the invention is not restricted to the details of above-mentioned one exemplary embodiment, Er Qie
In the case of the spirit or essential attributes of the present invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, embodiment all should be regarded as exemplary, and be nonrestrictive, the scope of the present invention is by appended power
Profit requires rather than described above limits, it is intended that all in the implication and scope of the equivalency of claim by falling
Change is included in the present invention.
Moreover, it will be appreciated that although this specification is been described by according to embodiment, not each embodiment only wraps
Containing an independent technical scheme, only for clarity, those skilled in the art should for this narrating mode of description
Using description as an entirety, the technical scheme in each embodiment can also form those skilled in the art through appropriately combined
Understandable other embodiment.
Claims (6)
1. a kind of develop for complicated field reservoir pore space recover with physical property Forecasting Methodology it is characterised in that: comprise the following steps:
(1), the oil gas based on the simulation of reservoir mechanical ramming and geological conditions actual participation, organic acid, carbon dioxide, atmospheric water etc.
The water-rock of fluid impact test forward simulation and stratum inverting be peeled back to each crucial geologic(al) period crucial Diagenetic and
Pore character before diagenesis generation, quantitative reconstruction complicated deposition diagenesis field background reservoir pore space evolutionary process, specify reservoir
Physical property Dominated Factors and crucial geologic(al) factor influence degree.
(2), it is based on pore evolution and recover to determine under reservoir properties Dominated Factors that subregion, segmentation, according to reservoir area hole, are oozed and drilled
Change and Diagenetic Evolution, return differently porosity evolution curve under the conditions of matter, combine and simulated and stratum based on reservoir forward
Inverting is peeled back to the comprehensive pore evolution curve of pore evolution quantitative reconstruction foundation or drilling well actual measurement physical property carries out geological conditions school
Just (early stage superpressure, early oil and gas injection are more than late period superpressure, protection of And Late Hydrocarbon filling etc. to the degree of protection of reservoir), building
Vertical zones of different or different section, different grain size or sorting lithology, high thermal/high-temperature pressure/middle temperature superpressure, different water depth bar
The reservoir porosities such as part and the evolutionary model of buried depth, thermal evolution parameter etc.;
(3), survey hole, ooze data according to geological conditions, return different lithology sandstone hole, ooze relation, set up permeability evolution mould
Type;
(4), with the hole of the porosity of foundation, permeability and buried depth change, ooze evolutionary model, different under prediction different geological conditions
The buried depth lower limit of grade or each physical property characteristic of sorting sandstone reservoir and each depth bounds difference lithofacies characteristics reservoir properties feature;
(5), it is directed to THE WESTERN SOUTH CHINA SEA profundal zone to exist due to the impact of different water depth condition and rock differential compaction, to profundal zone
When reservoir buried depth lower limit is predicted with physical property, corrected using the depth of water is carried out with shallow-layer sand/mudstone compacting, and then apply correction ground layer depth
The buried depth lower limit of the degree prediction each physical property characteristic of different water depth condition and corresponding depth physical property characteristic, updating formula is as follows: ρGroundghGround=
ρSea waterghThe depth of water.
2. a kind of evolution for complicated field reservoir pore space according to claim 1 recovers and physical property Forecasting Methodology, and it is special
Levy and be: described ρGroundIt is through certain shallow-layer sand being compacted, mud stone density.
3. a kind of evolution for complicated field reservoir pore space according to claim 1 recovers and physical property Forecasting Methodology, and it is special
Levy and be: described ρSea waterFor density of sea water.
4. a kind of evolution for complicated field reservoir pore space according to claim 1 recovers and physical property Forecasting Methodology, and it is special
Levy and be: described hGroundFor buried depth of strata.
5. a kind of evolution for complicated field reservoir pore space according to claim 1 recovers and physical property Forecasting Methodology, and it is special
Levy and be: described hThe depth of waterFor depth of water depth.
6. a kind of evolution for complicated field reservoir pore space according to claim 1 recovers and physical property Forecasting Methodology, and it is special
Levy and be: described g is gravity acceleration constant.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611008494.3A CN106368694B (en) | 2016-11-16 | 2016-11-16 | One kind develops for complicated field reservoir pore space and restores and physical property prediction technique |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611008494.3A CN106368694B (en) | 2016-11-16 | 2016-11-16 | One kind develops for complicated field reservoir pore space and restores and physical property prediction technique |
Publications (2)
Publication Number | Publication Date |
---|---|
CN106368694A true CN106368694A (en) | 2017-02-01 |
CN106368694B CN106368694B (en) | 2019-05-21 |
Family
ID=57890958
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201611008494.3A Active CN106368694B (en) | 2016-11-16 | 2016-11-16 | One kind develops for complicated field reservoir pore space and restores and physical property prediction technique |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106368694B (en) |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107228816A (en) * | 2017-06-01 | 2017-10-03 | 中国石油大学(华东) | Different type pore evolution evaluation method in a kind of mud shale |
CN107389528A (en) * | 2017-07-26 | 2017-11-24 | 中国海洋石油总公司 | A kind of develop for superpressure on reservoir pore space influences the experimental method of quantitative assessment |
CN108982320A (en) * | 2018-07-10 | 2018-12-11 | 中国海洋石油集团有限公司 | It is a kind of to carry out Complicated Pore Structures reservoir permeability calculation method using grain size parameter |
CN109211745A (en) * | 2017-06-29 | 2019-01-15 | 中国石油化工股份有限公司 | A kind of restoration methods of the evolutionary process rich in organic matter mud shale porosity |
CN109324345A (en) * | 2018-12-03 | 2019-02-12 | 中国石油化工股份有限公司 | Superimposed Basins oil and gas entrapment timing rock porosity restoration methods |
CN110489910A (en) * | 2019-08-27 | 2019-11-22 | 中国海洋石油集团有限公司 | A kind of Favorable Reservoir evaluation and foreca technology coupled based on rock-field-stream |
CN111060672A (en) * | 2019-12-30 | 2020-04-24 | 中国海洋石油集团有限公司 | Method for reproducing whole history process of forming high-temperature overpressure natural gas reservoir |
Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5444619A (en) * | 1993-09-27 | 1995-08-22 | Schlumberger Technology Corporation | System and method of predicting reservoir properties |
WO2012116320A2 (en) * | 2011-02-24 | 2012-08-30 | Schlumberger Canada Limited | Mean regression function for permeability |
CN102778421A (en) * | 2012-07-10 | 2012-11-14 | 中国石油大学(华东) | Permeability evolution recovery method for sandstone reservoir in geological history period |
CN103196807A (en) * | 2013-03-11 | 2013-07-10 | 中国石油天然气股份有限公司 | Analysis method for sandstone diagenesis process and pore evolution |
CN103760081A (en) * | 2013-12-31 | 2014-04-30 | 中国石油天然气股份有限公司 | Gas reservoir prediction method and system for carbonate reservoir based on pore structure characteristics |
CN104407397A (en) * | 2014-12-02 | 2015-03-11 | 付茜 | Method for determining lower limit of physical property of compact oil and gas reservoir |
CN104459790A (en) * | 2014-12-10 | 2015-03-25 | 中国石油大学(北京) | Oil-gas possibility basin effective reservoir analysis method and device |
CN104698500A (en) * | 2015-04-07 | 2015-06-10 | 成都乔依赛斯石油科技有限公司 | Method for predicting reservoir lithogenous phase through geology and logging information |
CN104751002A (en) * | 2015-04-10 | 2015-07-01 | 中国石油大学(北京) | Method for determining effective sandstone reservoir |
CN105784965A (en) * | 2014-12-24 | 2016-07-20 | 中国石油天然气股份有限公司 | Method and system for testing geoscience evolution based on simulation experiment |
CN105842750A (en) * | 2016-03-24 | 2016-08-10 | 中国石油大学(北京) | Method and device for determining critical porosity corresponding with buoyancy reservoir-forming lower limit of compact sandstone |
-
2016
- 2016-11-16 CN CN201611008494.3A patent/CN106368694B/en active Active
Patent Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5444619A (en) * | 1993-09-27 | 1995-08-22 | Schlumberger Technology Corporation | System and method of predicting reservoir properties |
WO2012116320A2 (en) * | 2011-02-24 | 2012-08-30 | Schlumberger Canada Limited | Mean regression function for permeability |
CN102778421A (en) * | 2012-07-10 | 2012-11-14 | 中国石油大学(华东) | Permeability evolution recovery method for sandstone reservoir in geological history period |
CN103196807A (en) * | 2013-03-11 | 2013-07-10 | 中国石油天然气股份有限公司 | Analysis method for sandstone diagenesis process and pore evolution |
CN103760081A (en) * | 2013-12-31 | 2014-04-30 | 中国石油天然气股份有限公司 | Gas reservoir prediction method and system for carbonate reservoir based on pore structure characteristics |
CN104407397A (en) * | 2014-12-02 | 2015-03-11 | 付茜 | Method for determining lower limit of physical property of compact oil and gas reservoir |
CN104459790A (en) * | 2014-12-10 | 2015-03-25 | 中国石油大学(北京) | Oil-gas possibility basin effective reservoir analysis method and device |
CN105784965A (en) * | 2014-12-24 | 2016-07-20 | 中国石油天然气股份有限公司 | Method and system for testing geoscience evolution based on simulation experiment |
CN104698500A (en) * | 2015-04-07 | 2015-06-10 | 成都乔依赛斯石油科技有限公司 | Method for predicting reservoir lithogenous phase through geology and logging information |
CN104751002A (en) * | 2015-04-10 | 2015-07-01 | 中国石油大学(北京) | Method for determining effective sandstone reservoir |
CN105842750A (en) * | 2016-03-24 | 2016-08-10 | 中国石油大学(北京) | Method and device for determining critical porosity corresponding with buoyancy reservoir-forming lower limit of compact sandstone |
Non-Patent Citations (4)
Title |
---|
付金华 等: "鄂尔多斯盆地长7油层组有效储层物性下限的确定", 《中国石油勘探》 * |
孟元林 等: "储层孔隙度预测与孔隙演化史模拟方法探讨_以辽河拗陷双清地区为例", 《沉积学报》 * |
武文来 等: "渤海海域深部碎屑岩储层孔隙度预测", 《中国海上油气地质》 * |
王波 等: "库车坳陷大北-克拉苏深层构造带有效储层埋深下限预测", 《石油学报》 * |
Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107228816A (en) * | 2017-06-01 | 2017-10-03 | 中国石油大学(华东) | Different type pore evolution evaluation method in a kind of mud shale |
CN107228816B (en) * | 2017-06-01 | 2018-11-13 | 中国石油大学(华东) | Different type pore evolution evaluation method in a kind of mud shale |
CN109211745A (en) * | 2017-06-29 | 2019-01-15 | 中国石油化工股份有限公司 | A kind of restoration methods of the evolutionary process rich in organic matter mud shale porosity |
CN109211745B (en) * | 2017-06-29 | 2020-10-20 | 中国石油化工股份有限公司 | Method for recovering evolution process of organic matter-rich shale porosity |
CN107389528A (en) * | 2017-07-26 | 2017-11-24 | 中国海洋石油总公司 | A kind of develop for superpressure on reservoir pore space influences the experimental method of quantitative assessment |
CN108982320A (en) * | 2018-07-10 | 2018-12-11 | 中国海洋石油集团有限公司 | It is a kind of to carry out Complicated Pore Structures reservoir permeability calculation method using grain size parameter |
CN108982320B (en) * | 2018-07-10 | 2021-03-02 | 中国海洋石油集团有限公司 | Method for calculating permeability of reservoir with complex pore structure by using particle size parameters |
CN109324345A (en) * | 2018-12-03 | 2019-02-12 | 中国石油化工股份有限公司 | Superimposed Basins oil and gas entrapment timing rock porosity restoration methods |
CN110489910A (en) * | 2019-08-27 | 2019-11-22 | 中国海洋石油集团有限公司 | A kind of Favorable Reservoir evaluation and foreca technology coupled based on rock-field-stream |
CN111060672A (en) * | 2019-12-30 | 2020-04-24 | 中国海洋石油集团有限公司 | Method for reproducing whole history process of forming high-temperature overpressure natural gas reservoir |
CN111060672B (en) * | 2019-12-30 | 2022-02-22 | 中国海洋石油集团有限公司 | Method for reproducing whole history process of forming high-temperature overpressure natural gas reservoir |
Also Published As
Publication number | Publication date |
---|---|
CN106368694B (en) | 2019-05-21 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106368694A (en) | Porosity evolution recovery and physical property prediction method for complex area reservoir | |
Mathieson et al. | In Salah CO2 Storage JIP: CO2 sequestration monitoring and verification technologies applied at Krechba, Algeria | |
Riis et al. | CO2 Storage Atlas of the Norwegian Continental Shelf: Methods Used to Evaluate Capacity and Maturity of the CO2 Storage Potential. | |
Ringrose et al. | Building confidence in CO2 storage using reference datasets from demonstration projects | |
CN107066718A (en) | A kind of four-dimensional dynamically stress simulation method | |
CN104533519A (en) | Management method for water burst water disasters in event of vertical shaft wellbore passing through strong water-containing thick rock layer | |
Jin et al. | Study on refined back-analysis method for stress field based on in situ and disturbed stresses | |
Karagkounis et al. | Geology and geotechnical evaluation of Doha rock formations | |
Jessop et al. | Geothermal measurements in a deep well at Regina, Saskatchewan | |
CN109211745A (en) | A kind of restoration methods of the evolutionary process rich in organic matter mud shale porosity | |
CN110532507A (en) | A method of the fine and close oily reservoir Drilling ratio of well of improving the standard | |
CN112253058B (en) | System and method for artificially enriching and exploiting deep-water shallow-layer low-abundance unconventional natural gas | |
Green et al. | Predicting pore pressure in carbonates: a review | |
Casabianca et al. | The Machar Oil Field: waterflooding a fractured chalk reservoir | |
Kumar et al. | Tight reservoirs: An overview in Indian context | |
Bate et al. | How Geomechanical Data Integration Helped Constrain the Placement of the First Horizontal Well in a New Tight Gas Field | |
Stenger et al. | Tilted original oil/water contact in the Arab-D reservoir, Ghawar field, Saudi Arabia | |
Bergmo et al. | Exploring geological storage sites for CO2 from Norwegian gas power plants: Johansen formation | |
Xin et al. | A new method to interpret hydraulic fracture complexity in unconventional reservoir by tilt magnitude | |
CN102383787B (en) | Method for improving target entering success rate of horizontal well | |
Xu et al. | Geomechanical characteristics and stimulation of Dibei deep tight sandstone reservoirs in the Kuqa DeprEssion of Tarim Basin | |
Al-Hadhrami et al. | A Giant Reservoir is Talking and we are Listening: characterisation and Understanding of a Giant Fractured Reservoir in Oman with Extensive Years of Production | |
Haustveit* et al. | Far-Field Proppant Imaging Offsetting Depletion: A STACK Case History | |
Narayan et al. | Karstified and fractured Lower Carboniferous (Mississippian) limestones of the UK; a cryptic geothermal reservoir | |
Giles et al. | Charge and overpressure modelling in the North Sea: multi-dimensional modelling and uncertainty analysis |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | 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 |