CN107701178A - A kind of determination method of oil and gas reservoir filling potential energy - Google Patents
A kind of determination method of oil and gas reservoir filling potential energy Download PDFInfo
- Publication number
- CN107701178A CN107701178A CN201710747714.2A CN201710747714A CN107701178A CN 107701178 A CN107701178 A CN 107701178A CN 201710747714 A CN201710747714 A CN 201710747714A CN 107701178 A CN107701178 A CN 107701178A
- Authority
- CN
- China
- Prior art keywords
- reservoir
- potential energy
- oil
- pressure
- ask
- 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
- 238000005381 potential energy Methods 0.000 title claims abstract description 63
- 238000000034 method Methods 0.000 title claims abstract description 35
- 229930195733 hydrocarbon Natural products 0.000 claims abstract description 57
- 150000002430 hydrocarbons Chemical class 0.000 claims abstract description 57
- 239000004215 Carbon black (E152) Substances 0.000 claims abstract description 53
- 239000012530 fluid Substances 0.000 claims abstract description 42
- 238000003860 storage Methods 0.000 claims abstract description 11
- 239000011435 rock Substances 0.000 claims description 21
- 239000004575 stone Substances 0.000 claims description 9
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 8
- 238000005056 compaction Methods 0.000 claims description 4
- 230000001133 acceleration Effects 0.000 claims description 3
- 230000008859 change Effects 0.000 claims description 3
- 238000013213 extrapolation Methods 0.000 claims description 3
- 230000005484 gravity Effects 0.000 claims description 3
- 230000002706 hydrostatic effect Effects 0.000 claims description 3
- 238000011160 research Methods 0.000 description 14
- 230000008569 process Effects 0.000 description 13
- 230000005012 migration Effects 0.000 description 11
- 238000013508 migration Methods 0.000 description 11
- 230000015572 biosynthetic process Effects 0.000 description 8
- 230000006872 improvement Effects 0.000 description 5
- 230000002159 abnormal effect Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 238000005429 filling process Methods 0.000 description 3
- 230000037361 pathway Effects 0.000 description 3
- 239000011148 porous material Substances 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 206010027336 Menstruation delayed Diseases 0.000 description 2
- 230000002776 aggregation Effects 0.000 description 2
- 238000004220 aggregation Methods 0.000 description 2
- 238000005260 corrosion Methods 0.000 description 2
- 230000007797 corrosion Effects 0.000 description 2
- 238000000280 densification Methods 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- QSHDDOUJBYECFT-UHFFFAOYSA-N mercury Chemical compound [Hg] QSHDDOUJBYECFT-UHFFFAOYSA-N 0.000 description 2
- 229910052753 mercury Inorganic materials 0.000 description 2
- 238000004445 quantitative analysis Methods 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 230000009466 transformation Effects 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 230000002378 acidificating effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000004087 circulation Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000005553 drilling Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000000227 grinding Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000035699 permeability Effects 0.000 description 1
- 239000003209 petroleum derivative Substances 0.000 description 1
- 230000000704 physical effect Effects 0.000 description 1
- 230000001681 protective effect Effects 0.000 description 1
- 238000013139 quantization Methods 0.000 description 1
- 238000002407 reforming Methods 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)
Abstract
The present invention relates to a kind of determination method of the filling potential energy of oil and gas reservoir in exploration of oil and gas field technical field, it is first established reservoir potential energy and asks for model, then establish fluid potential and ask for model, resettle source storage pressure difference and ask for model, reservoir filling potential energy index is then calculated to ask, finally judge oil reservoir possibility using the reservoir filling potential energy index tried to achieve, wherein reservoir filling potential energy index can form preferable hydrocarbon charge more than 1, numerical value shows that more greatly the filling ability of oil gas is stronger, the possibility for forming oil reservoir is higher, and index then shows hydrocarbon charge scarce capacity less than 1, possibility into Tibetan is small.The ability that hydrocarbon charge enters reservoir can be described more fully in it, laid the foundation for prediction of oil-gas reserve.
Description
Technical field
The present invention relates to one kind side for being related to exploration of oil and gas field field, the more particularly to scrutiny of Pool-forming Dynamics
Method.
Background technology
1. the connotation of Pool-forming Dynamics
Pool-forming Dynamics research can be understood as in the range of sedimentary basin, by temperature field, pressure field and chemical fields
Etc. the comprehensive study of various physics, chemical fields, under the screen work of fluid carrier network, oil-gas generation, migration drawn game level are reproduced
More class synthetic study systems of overall process.Deposits Dynamics research requirement is entered to oil-gas generation, migration and the overall process of aggregation
Description, tracking and the research of row system, this research can help to understand the formation of oil gas field, and be commented for petroleum-gas prediction with exploration
Valency.
2. hydrocarbon charge present Research
In general, the dynamic (dynamical) research of oil gas was largely divided into for three megastages:The process of hydrocarbon primary rock producing hydrocarbon(Generation), hydrocarbon source rock row
Hydrocarbon enters the process of reservoir(Migration), in reservoir block convergence and dissipation process(Aggregation), wherein migration process is the most
Paid close attention to and study by oil scholars, the process i.e. oil gas is filled to the stage in reservoir from hydrocarbon source rock.In order to
The filling process of oil gas is studied, domestic and foreign scholars propose oil and gas secondary migration and Accumulation Mechanism, to oil and gas secondary migration
Phase, power, resistance, migration pathway, direction, distance, migration time and the poly- efficiency of fortune etc. have carried out numerous studies, and pass through
The research transformation from qualitative to quantitative is gone through, wherein at microcosmic aspect mainly from capillary force, buoyancy, the replacement pressure of reservoir, oil
Water dimorphism etc. carries out quantitative analysis, and the concepts such as fluid potential, fluid circula-tion are then introduced in terms of macroscopic view to oil
Dynamic process of the gas from source to storage carries out quantization signifying, wherein prediction of the research of macroscopic view aspect to oil-gas reservoir have it is important
Directive significance.
3. the importance of quantitative research hydrocarbon charge
The process that oil gas is discharged into reservoir from hydrocarbon source rock is exactly hydrocarbon charge, and where this process just decides oil gas
Into Tibetan, therefore the quantitative analysis to hydrocarbon charging can accurately see clearly the ability that oil gas in research range enters reservoir,
So as to contribute to the preferred direction of migration of accurate predicting oil/gas and oil gas into Tibetan area block.
Problems of the prior art and shortcoming are:The quantitative research to hydrocarbon charge is mainly applicating fluid at present
What the method for gesture was carried out, this method is calculated when Diagenesis fluids generate by analyzing the fluid inclusion in reservoir
Temperature-pressure Conditions, so as to sketch out potential energy of all kinds of Diagenesis fluids on region including hydrocarbon fluid, and then to be flowed
The flow direction of body.This method is mainly the analysis in terms of convection body itself carries out potential energy, from its gravitional force and elastic potential energy
Angle carry out locomitivity of the quantitative research fluid in underground.But this method for fluid enter reservoir process without reference to
Description, and it be vital that can the replacement pressure of reservoir potential energy situation in itself, reservoir enter reservoir for oil gas.Cause
This with the method for fluid potential can convection body carry out kinematics in itself in terms of analysis, but for hydrocarbon charge enter reservoir into
The process description of Tibetan is also insufficient, it is difficult to illustrate on hydrocarbon fluid dominant migration pathway everywhere reservoir whether can into Tibetan,
Can the reservoir that be not located at without method interpretation on hydrocarbon fluid dominant migration pathway into Tibetan.
From the point of view of combination technology application field, the reason for these and defect be present is mainly that reservoir has differences in itself,
Influence of the reservoir performance to hydrocarbon charge can not be ignored during analyzing oil and gas pools' forming dynam-.
Due to lithology, buried depth, diagenetic process difference, each zone in underground, the reservoir performance of series of strata are different, or even together
There is also anisotropism, oil gas enters the ability one side and the gesture of hydrocarbon fluid itself of reservoir for one zone, the reservoir of series of strata
Can be relevant, it is on the other hand also relevant with the resistance of reservoir convection body, and this resistance is just closely related with the performance of reservoir itself,
The buried depth of wherein reservoir decides the potential energy of fluid in reservoir, and the physical property of reservoir(Porosity, permeability)Then decide reservoir
Receiving ability to outside fluid(Often represented with replacement pressure).Therefore filling of the different reservoir performances for oil gas has
Important influence, and locomitivity the methods of fluid potential concern is primarily with fluid in itself, but have ignored the influence of reservoir.
The content of the invention
It is an object of the invention to provide a kind of determination method of oil and gas reservoir filling potential energy, oil can be described more fully
Gas filling lays the foundation into the ability of reservoir for prediction of oil-gas reserve.
The object of the present invention is achieved like this:A kind of determination method of oil and gas reservoir filling potential energy, including establish reservoir
Potential energy ask for model, establish fluid potential ask for model, establish source storage pressure difference ask for model;Then reservoir is established according to above-mentioned model
Filling potential energy index asks for model, finally judges oil reservoir possibility using the reservoir filling potential energy index tried to achieve.
It is as a further improvement on the present invention, establishes reservoir potential energy as follows and ask for model:
Pcb=1- h/hmax(1)
In formula, PcbFor reservoir potential energy ratio;H is reservoir buried depth(m);hmaxFor the purpose of layer maximum buried depth(m);
It is as a further improvement on the present invention, establishes fluid potential as follows and ask for model:
In formula, Φ is fluid potential (m2/s2);G is acceleration of gravity (m/s2);Z is elevation of this relative to a certain reference plane
(m), p is the Fluid pressure (pa), and ρ is this fluid density (kg/m3);V is the flow velocity (m/s);
V=0 is taken, and water, oil regard incompressible fluid as, its density p is not with pressure change, formula(2)It is reduced to:
It is as a further improvement on the present invention, establishes source storage pressure difference as follows and ask for model:
Py=Ph-Pr(4)
In formula, PyPressure difference (Mpa) is stored up for source;PhFor hydrocarbon source rock pressure (Mpa);PrFor reservoir pressure (Mpa);
Wherein reservoir pressure(Pr)For into the hydrostatic pressure of reservoir when hiding, and hydrocarbon source rock pressure(Ph)Asked using interval transit time data
Take:
Ph=ρh•hh+(ρh–ρw)/c•ln(t-t0)- ρw•hh(5)
In formula, PhFor hydrocarbon source rock pressure (Mpa);ρhFor hydrocarbon source rock averag density (g/cm3);ρwFor stratum water density (g/cm3);
C is mud stone normal compaction trend line slope;T is mud stone interval transit time value(us/m);t0For at the earth's surface of extrapolation during mud stone sound wave
Difference(us/m);hhFor hydrocarbon source rock buried depth(m);
It is as a further improvement on the present invention, establishes reservoir filling potential energy index as follows and ask for model:
Px=Φo/Φomax + Pcb – Pc/Pymax(6)
In formula, ΦoFor hydrocarbon stream body posture (m2/s2);ΦomaxFor maximum hydro carbons fluid potential (m2/s2);PcbFor reservoir potential energy ratio;Pc
For Pool-forming time when replacement pressure(Mpa);PymaxPressure difference is stored up for maximum source(Mpa);
It is as a further improvement on the present invention, by such as when judging oil reservoir possibility using the reservoir filling potential energy index tried to achieve
Lower method is carried out:Wherein reservoir filling potential energy index can form preferable hydrocarbon charge more than 1, and numerical value shows more greatly oil gas
Filling ability it is stronger, form that the possibility of oil reservoir is higher, and index then shows hydrocarbon charge scarce capacity less than 1, into Tibetan
Possibility it is small.
The present invention has taken into full account the performance of reservoir itself when calculating hydrocarbon charge ability, introduces reservoir potential energy, storage
The concept of the replacement pressure of layer and source storage pressure difference is with asking for model, so that the reservoir filling potential energy exponential model established, the mould
The ability that hydrocarbon charge enters reservoir can be described more fully in type.
Embodiment
By taking domestic Gaoyou Sag in Subei Basin Funing Formation as an example, the present invention is further illustrated.Domestic Subei Basin
Two sets of high quality source rocks be present in Gaoyou Depression Funing Formation itself(Abundant two sections and four sections of mound), have and preferably supply hydrocarbon condition, but should
The buried depth gap of regional reservoir is larger, and the reservoir of Funing Formation is often comparatively dense, and receiving ability of the reservoir to oil gas is difficult to
Hold, the difficulty of oil reservoir prediction distribution is larger in the plane.
8 interval data for choosing the research 7 mouthfuls of wells in area carry out the calculating of reservoir filling potential energy index.
The first step:Establish reservoir potential energy and ask for model:
Pcb=1- h/hmax(1)
In formula:
PcbFor reservoir potential energy ratio;
H is reservoir buried depth(m);
hmaxFor the purpose of layer maximum buried depth(m).
By statistics, the buried depth scope of this group of reservoir is 2000 ~ 4800m.Therefore hmaxFor 4800m., can be with by calculating
Ask for the reservoir potential energy of each interval.
Second step:Establish fluid potential and ask for model:
In formula:
Φ is fluid potential (m2/s2);
G is acceleration of gravity (m/s2);
Z is elevation (m) of this relative to a certain reference plane;
P is the Fluid pressure (pa);
ρ is this fluid density (kg/m3);
V is the flow velocity (m/s).
The flow velocity (v) of underground fluid is typically that extremely slowly, as v ≈ 0, and water, oil are generally considered as incompressible flow
Body, its density p can not propose that formula at this moment is with pressure change, ρ under the sign of integration:
By calculating, the scope of hydrocarbon stream body posture is 25000 ~ 34500m in this group of reservoir2/s2, fluid potential asks for, can be with bright
Really in filling power of hydrocarbon fluid of each data point position from hydrocarbon source rock to reservoir.
3rd step:Establish source storage pressure difference and ask for model:
Py=Ph-Pr(4)
In formula:
PyPressure difference (Mpa) is stored up for source;
PhFor hydrocarbon source rock pressure (Mpa);
PrFor reservoir pressure (Mpa).
Wherein reservoir pressure(Pr)For into the hydrostatic pressure of reservoir when hiding, and hydrocarbon source rock pressure(Ph)Using interval transit time
Data are asked for:
Ph=ρh•hh+(ρh–ρw)/c•ln(t-t0)- ρw•hh(5)
In formula:
PhFor hydrocarbon source rock pressure (Mpa);
ρhFor hydrocarbon source rock averag density (g/cm3);
ρwFor stratum water density (g/cm3);
C is mud stone normal compaction trend line slope;
T is mud stone interval transit time value(us/m);
t0For mud stone interval transit time value at the earth's surface of extrapolation(us/m);
hhFor hydrocarbon source rock buried depth(m).
By calculating, this group of source storage pressure differential range is 11.2 ~ 13Mpa.Therefore, carry out filling the calculating of potential energy index below
When to take maximum source storage pressure difference be 13Mpa.
4th step:Establish reservoir filling potential energy index and ask for model:
Px=Φo/Φomax + Pcb – Pc/Pymax(6)
In formula:
ΦoFor hydrocarbon stream body posture (m2/s2);
ΦomaxFor maximum hydro carbons fluid potential (m2/s2);
PcbFor reservoir potential energy ratio;
PcFor Pool-forming time when replacement pressure(Mpa);
PymaxPressure difference is stored up for maximum source(Mpa).
Replacement pressure when wherein, for Pool-forming time will be corrected according to the difference of Filling process:Into Tibetan after first fine and close
The replacement pressure of the available gained of experiment now of the oil reservoir of type;And the oil reservoir of first Cheng Zanghou dense forms then need recover Pool-forming time when row
Pressure is driven, the replacement pressure data in the oil reservoir in the un-densified area in China and foreign countries slope is taken here, is then corrected according to depth, according to grinding
Study carefully and think that Gaoyou Depression Funing Formation late period compaction intensification factor is 0.06, also to remove protection of the abnormal pressure to pore throat
Effect, therefore replacement pressure during first Cheng Zanghou dense forms oil reservoir Pool-forming time can be expressed as:
Pc=(1-0.06)*hi*Pc0/h0(7)
In formula:
Pc0 For the replacement pressure data in the oil reservoir in the un-densified area in China and foreign countries slope (here using the data 0.17MPa of S19 blocks);
hiFor the buried depth of target reservoir(m);
h0For the buried depth with reference to oil reservoir(S19 block reservoir buried depths 2350m).
Calculated by correcting, the filling potential energy exponential quantity of each target point can be obtained, for judging the filling of each point oil gas
Ability.
Result of calculation is as shown in table 1.
The Subei Basin basin Gaoyou Depression Funing Formation reservoir filling potential energy index computational chart of table 1
5th step:Potential energy index is filled by reservoir and judges Hydrocarbon Formation Reservoirs situation:
Reservoir filling potential energy index can form preferable hydrocarbon charge more than 1, and numerical value shows more greatly the filling ability of oil gas
It is stronger, form that the possibility of oil reservoir is higher, and index then shows hydrocarbon charge scarce capacity less than 1, the possibility into Tibetan is small.
Empirical tests, it is found that the F4 of reservoir filling potential energy index 1.28, reservoir fill the corresponding of the X2 wells of potential energy index 1.35
Into Tibetan, oil saturation is shown to be oil reservoir more than 60%, and by developing test for depth trap, obtains higher individual well production
Amount(More than 20 m3/d).Also there is oil reservoir at the 3500m of H6, H1 and F1 well, oil saturation is oil reservoir more than 50%, but single
Well capacity is relatively low(Less than 10m3/d).Trap oil saturation is relatively low at the 3850m of H3 and F1 wells, and exploitation test is respectively
Oil-containing water layer and dried layer.And trap is also dried layer at X1 wells 4200m, not into Tibetan.Show that the goodness of fit of this method is very high.
It is possible thereby to which the data that each point is carried out using existing drilling data are calculated, reservoir filling potential energy index is obtained, then
Each point combined structure dividing elements are subjected to plane into figure, carries out the hydrocarbon charge merit rating in plane, is prediction of oil-gas reserve
Lay the foundation.
In addition, reservoir filling potential energy index can also react the Filling process of compact reservoir, such as in the above-described example, first cause
Reservoir filling potential energy index after close into Tibetan type oil reservoir is significantly greater than the oil reservoir of first Cheng Zanghou dense forms, and this aspect is its buried depth
Shallower to cause reservoir potential energy higher, on the other hand also in that it is deeply recessed close to oil generation, hydrocarbon stream body posture is stronger.Therefore, its compared with
Strong filling power also causes after first densification that to be pressed into mercury saturation degree high into the height of Tibetan type oil reservoir.But also should in another side
Recognize just because of it is first to be densified, so the corrosion in later stage and insufficient, only 2000-2200m is buried for it
It is deep, but reservoir properties are but far smaller than the reservoir properties of respective depth on northern slope.And singly see reservoir filling potential energy index with
Constant pressure, which enters mercury saturation degree, preferable positive correlation, shows under high reservoir filling potential energy index conditions, with hydro carbons
Acidic fluid can have more preferable corrosion transformation ability to reservoir, the active porosity of formation is more, therefore high reservoir fills
The oil reservoir of potential energy index can often obtain relatively stable production capacity by reforming technologies such as pressure breaks.Contrast the Funing group of slope belt
With the filling potential energy of abundant one section of oil reservoir, it can be found that abundant one section filling potential energy is higher than Funing group, but its pore throat character will
Funing group is worse than, shows that the densification in its late period is stronger.The pore throat for being additionally disposed in the H3 blocks in abnormal pressure distributed area is excellent
In the F1 blocks outside abnormal pressure scope, protective effect of the abnormal pressure to compact reservoir also show.Therefore reservoir filling potential energy
Index can also a kind of research meanses as to tight sandstone reservoir, and as a kind of analysis of oil reservoir later development mode
Method.
The parameters of this example are obtained by reservoir experiment with log data.
The invention is not limited in above-described embodiment, on the basis of technical scheme disclosed by the invention, the skill of this area
Art personnel are according to disclosed technology contents, it is not necessary to which performing creative labour can makes one to some of which technical characteristic
A little to replace and deform, these are replaced and deformation is within the scope of the present invention.
Claims (6)
- A kind of 1. determination method of oil and gas reservoir filling potential energy, it is characterised in that ask for model including establishing reservoir potential energy, establish Fluid potential ask for model, establish source storage pressure difference ask for model:Then reservoir filling potential energy index is established according to above-mentioned model to ask for Model, finally judge oil reservoir possibility using the reservoir filling potential energy index tried to achieve.
- 2. the determination method of a kind of oil and gas reservoir filling potential energy according to claim 1, it is characterised in that as follows Establish reservoir potential energy and ask for model:Pcb=1-h/hmax (1)In formula, PcbFor reservoir potential energy ratio;H is reservoir buried depth (m);hmaxFor the purpose of layer maximum buried depth (m);
- 3. the determination method of a kind of oil and gas reservoir filling potential energy according to claim 1, it is characterised in that as follows Establish fluid potential and ask for model:In formula, Φ is fluid potential (m2/s2);G is acceleration of gravity (m/s2);Z is elevation of this relative to a certain reference plane (m), p is the Fluid pressure (pa), and ρ is this fluid density (kg/m3);V is the flow velocity (m/s);V=0 is taken, and water, oil regard incompressible fluid as, its density p is not reduced to pressure change, formula (2):
- 4. the determination method of a kind of oil and gas reservoir filling potential energy according to claim 1, it is characterised in that as follows Establish source storage pressure difference and ask for model:Py=Ph-Pr (4)In formula, PyPressure difference (Mpa) is stored up for source;PhFor hydrocarbon source rock pressure (Mpa);PrFor reservoir pressure (Mpa);Wherein reservoir pressure (Pr) it is hydrostatic pressure into reservoir when hiding, and hydrocarbon source rock pressure (Ph) asked using interval transit time data Take:Ph=ρh·hh+(ρh–ρw)/c·ln(t-t0)-ρw·hh (5)In formula, PhFor hydrocarbon source rock pressure (Mpa);ρhFor hydrocarbon source rock averag density (g/cm3);ρwFor stratum water density (g/cm3);c For mud stone normal compaction trend line slope;T is mud stone interval transit time value (us/m);t0For mud stone interval transit time at the earth's surface of extrapolation It is worth (us/m);hhFor hydrocarbon source rock buried depth (m);
- 5. the determination method of a kind of oil and gas reservoir filling potential energy according to claim 1, it is characterised in that as follows Establish reservoir filling potential energy index and ask for model:Px=Φo/Φomax+Pcb–Pc/Pymax (6)In formula, ΦoFor hydrocarbon stream body posture (m2/s2);ΦomaxFor maximum hydro carbons fluid potential (m2/s2);PcbFor reservoir potential energy ratio;Pc For Pool-forming time when replacement pressure (Mpa);PymaxPressure difference (Mpa) is stored up for maximum source;
- A kind of 6. determination method of oil and gas reservoir filling potential energy according to claim 1-5 any one, it is characterised in that Judge to carry out as follows during oil reservoir possibility using the reservoir filling potential energy index tried to achieve:Wherein reservoir filling potential energy index Preferable hydrocarbon charge can be formed more than 1, numerical value shows that more greatly the filling ability of oil gas is stronger, forms the possibility of oil reservoir It is higher, and index then shows hydrocarbon charge scarce capacity less than 1, the possibility into Tibetan is small.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710747714.2A CN107701178B (en) | 2017-08-28 | 2017-08-28 | Method for determining filling potential energy of oil and gas reservoir |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710747714.2A CN107701178B (en) | 2017-08-28 | 2017-08-28 | Method for determining filling potential energy of oil and gas reservoir |
Publications (2)
Publication Number | Publication Date |
---|---|
CN107701178A true CN107701178A (en) | 2018-02-16 |
CN107701178B CN107701178B (en) | 2020-11-13 |
Family
ID=61169824
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710747714.2A Active CN107701178B (en) | 2017-08-28 | 2017-08-28 | Method for determining filling potential energy of oil and gas reservoir |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107701178B (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110107283A (en) * | 2019-04-26 | 2019-08-09 | 中国石油化工股份有限公司 | The method and system of Accumulation zone prediction are carried out according to potential energy value and physics value |
CN113759099A (en) * | 2021-09-07 | 2021-12-07 | 重庆科技学院 | Quantitative evaluation method for oil-gas filling capacity of source-storage-side-connected oil-gas reservoir |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6499540B2 (en) * | 2000-12-06 | 2002-12-31 | Conoco, Inc. | Method for detecting a leak in a drill string valve |
US6626248B1 (en) * | 1999-05-05 | 2003-09-30 | Smith International, Inc. | Assembly and method for jarring a drilling drive pipe into undersea formation |
CN103206209A (en) * | 2013-03-26 | 2013-07-17 | 中国石油大学(华东) | Comprehensive simulation experiment device for reservoir heterogeneity |
CN103982179A (en) * | 2014-05-26 | 2014-08-13 | 中国地质大学(北京) | Paleopressure quantitative inversion detection method of oil reservoir |
CN104234707A (en) * | 2014-08-26 | 2014-12-24 | 中国石油大学(北京) | Method and device for determining accumulation probability of buried hill oil-gas reservoir |
CN105888659A (en) * | 2016-06-06 | 2016-08-24 | 中国石油大学(北京) | Method and device for determining lithologic oil-gas reservoir forming probability |
-
2017
- 2017-08-28 CN CN201710747714.2A patent/CN107701178B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6626248B1 (en) * | 1999-05-05 | 2003-09-30 | Smith International, Inc. | Assembly and method for jarring a drilling drive pipe into undersea formation |
US6499540B2 (en) * | 2000-12-06 | 2002-12-31 | Conoco, Inc. | Method for detecting a leak in a drill string valve |
CN103206209A (en) * | 2013-03-26 | 2013-07-17 | 中国石油大学(华东) | Comprehensive simulation experiment device for reservoir heterogeneity |
CN103982179A (en) * | 2014-05-26 | 2014-08-13 | 中国地质大学(北京) | Paleopressure quantitative inversion detection method of oil reservoir |
CN104234707A (en) * | 2014-08-26 | 2014-12-24 | 中国石油大学(北京) | Method and device for determining accumulation probability of buried hill oil-gas reservoir |
CN105888659A (en) * | 2016-06-06 | 2016-08-24 | 中国石油大学(北京) | Method and device for determining lithologic oil-gas reservoir forming probability |
Non-Patent Citations (1)
Title |
---|
张善文: ""再论"压吸充注"油气成藏模式", 《石油勘探与开发》 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110107283A (en) * | 2019-04-26 | 2019-08-09 | 中国石油化工股份有限公司 | The method and system of Accumulation zone prediction are carried out according to potential energy value and physics value |
CN113759099A (en) * | 2021-09-07 | 2021-12-07 | 重庆科技学院 | Quantitative evaluation method for oil-gas filling capacity of source-storage-side-connected oil-gas reservoir |
CN113759099B (en) * | 2021-09-07 | 2023-07-21 | 重庆科技学院 | Quantitative evaluation method for oil-gas filling capacity of source-storage side-connected oil-gas reservoir |
Also Published As
Publication number | Publication date |
---|---|
CN107701178B (en) | 2020-11-13 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Yang et al. | Theories and practices of carbonate reservoirs development in China | |
CN106056459A (en) | Compacted oil source rock classification evaluation standard division method based on hydrocarbon expulsion efficiency | |
CN108868748A (en) | A kind of calculation method of shale gas horizontal well refracturing crack cracking pressure | |
CN106368694B (en) | One kind develops for complicated field reservoir pore space and restores and physical property prediction technique | |
Shen et al. | Effective evaluation of gas migration in deep and ultra-deep tight sandstone reservoirs of Keshen structural belt, Kuqa depression | |
CN104100246A (en) | Monolayer new chemical development method for thick-layer fault block oil reservoir in suspend production for years | |
CN106570339B (en) | Overburden formation trap lateral plugging property quantitative evaluation method based on mechanical analysis | |
Fachri et al. | Volumetric faults in field-sized reservoir simulation models: A first case study | |
Li et al. | Distribution and geochemical characteristics of fluids in Ordovician marine carbonate reservoirs of the Tahe Oilfield | |
Lu et al. | Formation condition of deep gas reservoirs in tight sandstones in Kuqa Foreland Basin | |
CN107701178A (en) | A kind of determination method of oil and gas reservoir filling potential energy | |
CN115538996A (en) | CO (carbon monoxide) 2 Three-stage visual classification evaluation method for oil displacement and geological storage | |
Zhao et al. | Numerical investigation of production characteristics and interlayer interference during co-production of natural gas hydrate and shallow gas reservoir | |
Yang et al. | Development optimization for improving oil recovery of cold production in a foamy extra-heavy oil reservoir | |
Legrand et al. | Recovery mechanisms and oil recovery from a tight, fractured basement reservoir, Yemen | |
CN205532554U (en) | Anti-seven and anti-four point combined encrypted well pattern structure of high water-cut oil reservoir | |
Sen et al. | Identification of key wells for waterflood optimization considering geologic uncertainty | |
Roschektayev et al. | Express method of oil recovery ratio estimation on the basis of oil reservoir statistical characteristics | |
Pfeiffer et al. | Mensa, Mississippi Canyon block 731 field, Gulf of Mexico–an integrated field study | |
Chetri et al. | Integrated Reservoir Management Approach Beats the Impact of Reservoir Heterogeneity, Injectivity Challenges, and Delayed Water Flood in Upper Burgan Reservoir in North Kuwait—A Case History | |
Song | Reservoir formation conditions and key technologies for exploration and development in Shengtuo oilfield in Bohai Bay Basin | |
Baolin et al. | Mid-late development of reservoirs with narrow oil ring, gas cap and edge water | |
Eremin et al. | Project of the effective development of the oil field Prirazlomnoe in the conditions of moving ice of Arctic shelf | |
Zhang et al. | Reservoir Elaborate Description and Development Countermeasures of Western Lungu Area, Tarim Basin | |
CN112505759B (en) | Prediction method for gas saturation distribution of low-permeability sandstone reservoir |
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 |