CN109033518A - The water breakthrough time prediction technique and device of bottom water gas condensate reservoir - Google Patents
The water breakthrough time prediction technique and device of bottom water gas condensate reservoir Download PDFInfo
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Abstract
The present invention provides the water breakthrough time prediction technique and device of a kind of bottom water gas condensate reservoir, this method comprises: according to skin effect influence factor, gas phase non-Darcy effects influence factor and retrograde condensation function influence factor, the centripetal stream productivity model of gas phase hemispherical of gas phase radial fluid flow productivity model and perforated zone lower part based on perforated zone, establishes the water breakthrough time computation model of bottom water gas condensate reservoir；Obtain the actual production data of bottom water gas condensate reservoir；The water breakthrough time of bottom water gas condensate reservoir is predicted according to the actual production data of bottom water gas condensate reservoir based on the water breakthrough time computation model of the bottom water gas condensate reservoir.Since the program has comprehensively considered the influence of gas phase non-Darcy effects near shaft bottom, skin effect, retrograde condensation effect to the water breakthrough time, foundation more suits the dynamic water breakthrough time computation model of bottom water gas condensate reservoir water cone, and the accuracy of water breakthrough time prediction can be improved.
Description
Technical field
The present invention relates to the water breakthrough risk profile technical field of the natural gas well, in particular to a kind of bottom water gas condensate reservoir is shown in
Water time forecasting methods and device.
Background technique
During condensate gas reservoir, when formation pore pressure is reduced to dew-point pressure, liquid will form in the earth formation
Condensate flows in stratum for oil gas water three phase, causes flow event increasingly complex.Since there are liquid for bottom water gas condensate reservoir
Condensate, therefore its bottom water coning dynamic is different from conventional bottomwater gas field.If calculating mould with the water breakthrough time of conventional Gas Reservoirs out
Type is predicted, certainly will will lead to prediction result and error or even mistake occurs.Currently, in the industry to conventional bottom-water reservoir water breakthrough
The research of time is more, such as: 1) the water breakthrough time prediction model of bottom water reservoir is established by experiment, with a variety of theory sides
Method has studied influence of each factor to oil reservoir bottom water coning.2) the complicated percolation mode based on the dual imperfect well of bottomwater gas field,
It derives bottomwater gas field water breakthrough time prediction model, and analyzes influence of the gas reservoir opening degree to the water breakthrough time.3) it considers
Hyposmosis bottomwater gas field has starting pressure gradient, derives hypotonic bottomwater gas field water breakthrough time prediction model.4) with artificial mind
The water breakthrough time prediction technique of fractured well is established through network technique (ANN) and support vector machines (SVN).5) conformal mapping is used
Method derives fractured well new productivity prediction equation, obtains Fractured Gas Wells water breakthrough time model in conjunction with water cone vertex movements equation.Then
The influence for considering gas volume factor, each area's seepage state and fracture condudtiviy these three factors, to above-mentioned Fractured Gas Wells
Water breakthrough time model is corrected, and improves the precision of hyposmosis bottomwater gas field fractured well water breakthrough time prediction model.6) it pushes away
Export band prevention of coning problems in bottom-water reservoirs gas reservoir water breakthrough time prediction model.7) statistical method is used, derives slit formation bottomwater gas field water breakthrough
The calculation formula of time, and analyze the influence of gas production and Cracking Thickness to the water breakthrough time.8) fracture hole type bottom water gas is considered
The difference of hiding and conventional bottomwater gas field, is managed with homogeneous bottomwater gas field horizontal well water breakthrough time prediction technique and permeability variation
By deriving fracture hole type bottomwater gas field water breakthrough time predictor formula.9) it is established with cluster discriminant analysis and Method for Numerical
The water breakthrough time prediction model of deep water gas reservoir.And initial stage starting is still in for the research of bottom water gas condensate reservoir water breakthrough time
Stage, the influence that some scholars are precipitated by considering condensate are deduced bottom water gas condensate reservoir water breakthrough time prediction model,
But its derivation process is the flow model in porous media based on the centripetal stream of spherical surface, does not consider the horizontal radial flowing of perforated zone, does not meet gas
The true seepage flow situation of well；And the shaft bottom influence of gas phase non-Darcy effects and skin effect to the water breakthrough time nearby is had ignored,
These will lead to the inaccuracy of water breakthrough time prediction.
Summary of the invention
The embodiment of the invention provides a kind of water breakthrough time prediction technique of bottom water gas condensate reservoir and devices, are based on gas water
The bottom water coning model that flat radial flow and the centripetal stream of hemispherical combine, and comprehensively considered the shaft bottom non-darcy effect of gas phase nearby
It answers, influence of skin effect, the retrograde condensation effect to the water breakthrough time, foundation more suits bottom water gas condensate reservoir water cone and dynamically sees
The accuracy of water breakthrough time prediction can be improved in water time computation model.
The water breakthrough time prediction technique of the bottom water gas condensate reservoir includes:
According to skin effect influence factor, gas phase non-Darcy effects influence factor and retrograde condensation function influence factor, it is based on
The gas phase radial fluid flow productivity model of perforated zone and the centripetal stream productivity model of the gas phase hemispherical of perforated zone lower part, build
The water breakthrough time computation model of vertical bottom water gas condensate reservoir；
Obtain the actual production data of bottom water gas condensate reservoir；
Based on the water breakthrough time computation model of the bottom water gas condensate reservoir, according to the actual production number of bottom water gas condensate reservoir
According to the water breakthrough time of prediction bottom water gas condensate reservoir.
The water breakthrough time prediction meanss of the bottom water gas condensate reservoir include:
The water breakthrough time computation model of bottom water gas condensate reservoir establishes module, for according to skin effect influence factor, gas phase
Non-Darcy effects influence factor and retrograde condensation function influence factor, the gas phase radial fluid flow productivity model based on perforated zone
With the centripetal stream productivity model of gas phase hemispherical of perforated zone lower part, the water breakthrough time computation model of bottom water gas condensate reservoir is established；
Actual production data acquisition module, for obtaining the actual production data of bottom water gas condensate reservoir；
The water breakthrough time prediction module of bottom water gas condensate reservoir is calculated for the water breakthrough time based on the bottom water gas condensate reservoir
Model predicts the water breakthrough time of bottom water gas condensate reservoir according to the actual production data of bottom water gas condensate reservoir.
In embodiments of the present invention, the gas phase radial fluid flow productivity model based on perforated zone and perforated zone lower part
The centripetal stream productivity model of gas phase hemispherical, and comprehensively considered shaft bottom nearby gas phase non-Darcy effects, skin effect, retrograde condensation
The influence to the water breakthrough time is acted on, establishes and more suits the dynamic water breakthrough time computation model of bottom water gas condensate reservoir water cone, it can
To improve the accuracy of water breakthrough time prediction.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention without creative efforts, may be used also for those of ordinary skill in the art
To obtain other drawings based on these drawings.
Fig. 1 is a kind of water breakthrough time prediction technique flow chart of bottom water gas condensate reservoir provided in an embodiment of the present invention；
Fig. 2 is a kind of bottom water gas condensate reservoir water cone physical model schematic diagram provided in an embodiment of the present invention；
Fig. 3 is a kind of influence signal of the gas condensate reservoir gas pay thickness provided in an embodiment of the present invention to the bottom-water breakthrough time
Figure；
Fig. 4 is a kind of influence schematic diagram of the gas condensate reservoir gas production provided in an embodiment of the present invention to the bottom-water breakthrough time；
Fig. 5 is a kind of water breakthrough time prediction meanss structural block diagram of bottom water gas condensate reservoir provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that the described embodiment is only a part of the embodiment of the present invention, instead of all the embodiments.Based on this
Embodiment in invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
In embodiments of the present invention, a kind of water breakthrough time prediction technique of bottom water gas condensate reservoir is provided, as shown in Figure 1,
This method comprises:
Step 101: according to skin effect influence factor, gas phase non-Darcy effects influence factor and retrograde condensation function influence
Factor, the centripetal miscarriage of gas phase hemispherical of gas phase radial fluid flow productivity model and perforated zone lower part based on perforated zone
Energy model, establishes the water breakthrough time computation model of bottom water gas condensate reservoir；
Step 102: obtaining the actual production data of bottom water gas condensate reservoir；
Step 103: the water breakthrough time computation model based on the bottom water gas condensate reservoir, according to the reality of bottom water gas condensate reservoir
Border creation data predicts the water breakthrough time of bottom water gas condensate reservoir.
When it is implemented, the water breakthrough time that step 101 specifically establishes bottom water gas condensate reservoir as follows calculates mould
Type.
Initially set up bottom water gas condensate reservoir water cone physical model as shown in Figure 2: gas well brill opens part gas condensate reservoir, penetrates
Hole interval is the radial fluid flow of gas phase, and perforated zone lower part is the centripetal stream of hemispherical of gas phase；After gas well is gone into operation, water flooding
To shaft bottom coning, most short along the gas well axis direction intrusion shaft bottom time, this time is the water breakthrough time of bottom water gas condensate reservoir.
In the case where meeting bottom water gas condensate reservoir Liquid Flow rule, make the following assumptions: 1. reservoir uniform thickness and homogeneous；2. air water two
In phase flow event, with movement displacement；3. ignoring the influence of capillary force and gravity, viscous force controls air water two-phase on ground
Flowing in layer；4. fluid is micro- compressible, gas phase, the density of liquid phase and viscosity are constant；5. gas phase flows full in the earth formation
The non-Darcy's law of foot；6. condensate does not flow in the earth formation；7. original gas-water interface approximation can regard a horizontal plane as.
Then following steps are executed:
(1) meet non-Darcy's law according to gas phase and water phase meets Darcy's law, establish air water two phase fluid flow model；
According to two phase fluid flow rule, gas phase meets non-Darcy's law, and water phase meets Darcy's law, then air water two phase fluid flow
Model is respectively as follows:
In formula: Pg、PwThe respectively pressure of gas phase and water phase, MPa；μg、μwThe respectively viscosity of gas phase and water phase,
mPa·s；Vg、VwThe respectively percolation flow velocity of gas phase and water phase, m/d；Kg、KwThe respectively effective permeability of gas phase and water phase,
mD；R is radial radius, m；β is non-Darcy flow coefficient, m-1；ρgFor the density of gas phase, g/cm3。
(2) according to air water two phase fluid flow model, liquid and gas percolation flow velocity relational expression is established；
Specifically, it is to be seeped to calculate the time that water cone vertex A reaches shaft bottom according to gas-liquid two-phase that mathematical model, which is established,
Stream feature is it is found that the barometric gradient of gas phase and the barometric gradient of water phase are identical at this point, therefore have:
Formula (1), formula (2) are substituted into formula (3) respectively, the relational expression of liquid phase Yu gas phase percolation flow velocity can be obtained:
In formula: MwgFor aqueous vapor mobility ratio, Mwg=(Kw/μw)/(Kg/μg)。
(3) it establishes the moving distance on the water cone vertex on original gas-water interface and reaches the time history form in shaft bottom；
Specifically, consider the influence of porosity, original water saturation, residual gas saturation and retrograde gas condensate saturation degree,
The then relationship of the moving distance of water cone vertex A and time are as follows:
In formula: Φ is porosity, dimensionless；T is time, d；SwiFor original water saturation, dimensionless；SgrFor remnants
Gas saturation, dimensionless；SocFor remaining condensate saturation degree, dimensionless.
Formula (5) is deformed, can be obtained:
(4) it is miscarried according to the gas phase planar radial for the perforated zone for considering gas non-Darcy effects and stratum skin effect
The centripetal miscarriage energy of gas phase hemispherical of the perforated zone lower part of energy model, consideration gas non-Darcy effects and stratum skin effect
Model establishes the gas production of bottom water gas condensate reservoir perforated zone lower part；
Specifically, the gas phase of bottom water gas condensate reservoir perforated zone is to be flowed in the form of radial fluid flow to shaft bottom, it is some
Scholar derives the radial fluid flow Productivity Formulae for considering gas non-Darcy effects and stratum skin effect:
In formula (7)~(8): PeFor supply pressure, MPa；PwfFor bottom pressure, MPa；T is reservoir temperature, K；Z is deviation
The factor, dimensionless；hpFor bottom water gas condensate reservoir perforated zone thickness, m；Q1For the yield of perforated zone, m3/d；reFor supply half
Diameter, m；rwFor wellbore radius, m；S is skin factor, dimensionless；γgFor gas phase relative density, dimensionless；D1For inertia coeffeicent,
(m3·d-1)-1。
The gas phase of bottom water gas condensate reservoir perforated zone lower part is to be flowed in the form of the centripetal stream of hemispherical to shaft bottom, Yi Xiexue
Person derives the centripetal stream Productivity Formulae of hemispherical for considering gas non-Darcy effects and stratum skin effect:
In formula (9)~(10): D2For inertia coeffeicent, (m3·d-1)-1；KsFor effective permeability,mD；Kv
For permeability in vertical direction, mD；KhFor permeability in horizontal direction, mD；Q2For bottom water gas condensate reservoir perforated zone lower part
Gas production, m3/d。
Formula (7) and formula (9) are subjected to simultaneous, can be obtained:
Assuming that the total gas production of condensate gas well is Q, then have
Q=Q1+Q2 (12)
Formula (11) and formula (12) are subjected to simultaneous, eliminate Q1, obtain related Q2Equation:
Formula (13) is carried out to simplify arrangement:
The then gas production of bottom water gas condensate reservoir perforated zone lower part are as follows:
(5) according to the moving distance on the water cone vertex on liquid and gas percolation flow velocity relational expression, original gas-water interface with
Time relationship, the gas production of bottom water gas condensate reservoir perforated zone lower part and the retrograde condensation function influence factor in shaft bottom are reached, is established
The water breakthrough time computation model of bottom water gas condensate reservoir.
Specifically, obtaining the expression formula in relation to condensate saturation degree change rate first:
In formula: BgFor the volume factor of gas, dimensionless；H is gas reservoir thickness, m；DC is to coagulate in unit volume condensate gas
Condensate oil increment (or reduction amount), m3/m3；rbFor the obstruction radius of condensate saturation degree critical in reservoir gaps, m.
Formula (19) are substituted into formula (6) and are arranged:
Obstruction radius may be expressed as:
In formula: Y is the retrograde condensation factor, m3/(m3·MPa)；PRFor original formation pressure, MPa.
If the vertical range in original gas-water interface and shaft bottom is h before gas well liquid loadingb, work as t=tbtWhen, then gas well starts to see
Water integrates formula (20), can obtain:
In formula, hbFor the thickness of gas reservoir perforated zone lower part, m.
For bottom water gas condensate reservoir perforated zone lower part, gas makees hemispherical centripetal flow, then the movement speed of gas can
It indicates are as follows:
Formula (4), formula (23) are substituted into formula (22), first formula (22) right side of the equal sign is arranged:
It enablesThen formula (24) can be changed by integral are as follows:
Formula (4), formula (21) and formula (23) are substituted into formula (22) again, formula (22) left side of the equal sign is arranged:
Formula (25), formula (26) are substituted into formula (22), can be obtained:
Formula (27) is carried out to simplify arrangement:
Then consider that the bottom water gas condensate reservoir water breakthrough time of skin effect, gas phase non-Darcy effects and retrograde condensation effect calculates mould
Type are as follows:
Embodiment
The basic parameter (actual production data) of certain bottom water gas condensate reservoir is as follows: original formation pressure 44.37MPa, gas
Hiding temperature is 95.39 DEG C, and the density of gaseous viscosity 0.034mPas, aqueous viscosity 0.23mPas, gas phase are
0.063g/cm3, gas pay thickness 190.31m, perforating depth 88.71m, formation porosity 0.186, gas-bearing formation effective permeability
For 175mD, the volume factor of condensate gas is 0.0043, and wellbore radius 0.1m, pressure release radius is 250m, residual gas saturation
It is 0.59, remaining condensate saturation degree is 0.44, formation porosity 0.16, skin factor 3, and initial water saturation is
0.56, gas well be averaged gas production be 10.88 × 104m3/d。
The prediction new model derived by the present invention and several common models carry out calculating and precision point to field basic data
Analysis can be obtained different bottom water coning models and calculate the resulting water breakthrough time, as shown in table 1.
The comparison of each the model calculation of table 1
| Model | Calculate time tbt/d | Real time/d | Relative error/% |
| Zhang Liehui model | 1650 | 1269 | 30.02% |
| King can strong model | 2197 | 1269 | 73.13% |
| Yellow complete magnificent model | 2004 | 1269 | 57.92% |
| This paper model | 1405 | 1269 | 10.72% |
In table 1, king can the derivation of strong model and Huang Quan China model be based on conventional bottomwater gas field, and Zhang Liehui model is then
It is based on bottom water gas condensate reservoir；Wherein, king can strong model have ignored skin effect, gas phase non-Darcy effects and retrograde condensation effect
The influence of these three factors, yellow complete magnificent model considers skin effect, gas phase non-Darcy effects, but has ignored retrograde condensation effect
Influence, and Zhang Liehui model consider bottom water gas condensate reservoir retrograde condensation effect influence, but the model be based on spherical surface it is centripetal
The flow model in porous media of stream, and have ignored the influence of skin effect and gas phase non-Darcy effects.
As seen from Table 1, king can strong model precision of prediction it is minimum, relative error is up to 71.13%, main cause
It is to have ignored the influence of skin effect, gas phase non-Darcy effects and retrograde condensation effect, and these three factors can make gas flow rate
Increase, the water breakthrough time shortens, therefore king can the bottom water gas condensate reservoir water breakthrough time longest that calculates of strong model.Yellow complete magnificent model is compared
For the former, precision of prediction is slightly improved, but relative error is still very big, and nearly 60%, it is primarily due to that takes into account skin effects
With gas phase non-Darcy effects, but retrograde condensation effect is had ignored, and retrograde condensation effect can be such that gas flow rate increases, therefore yellow full Hua Mo
The water breakthrough time that type calculates is shorter compared to the former.And Zhang Liehui model considers the influence of retrograde condensation effect, but has ignored epidermis
Effect and gas phase non-Darcy effects, and the model is the flow model in porous media based on the centripetal stream of spherical surface, when causing to calculate gas well water breakthrough
Between the gas production that is taken be gas well total gas production, and confirmed through excessive scholar, it is centripetal based on gas level radial flow and hemispherical
The bottom water coning model that stream combines is more reasonable, and gas production should take the centripetal miscarriage amount of hemispherical, therefore in general, Zhang Liehui
The calculated result of model is bigger than normal.And with the new model derived of the present invention and meanwhile consider skin effect, gas phase non-Darcy effects and
The influence of retrograde condensation effect, the result relative error of calculating is smaller, and about 10%, it is contemplated that the complexity of practical reservoir, and
The regular adjustment of yield in production process, this error are acceptables.Compared with above-mentioned common calculation model, precision
Improve 19.30%~62.41% and the field working conditions goodness of fit it is preferable, illustrate that computation model of the present invention can Accurate Prediction bottom water
The water breakthrough time of gas condensate reservoir effectively instructs live continuous production.
Fig. 3 be different gas pay thicknesses under the conditions of, while ignore skin effect, gas phase non-Darcy effects and retrograde condensation effect,
Consider skin effect and gas phase non-Darcy effects, and considers the bottom water gas condensate reservoir water breakthrough time of retrograde condensation effect.It can from Fig. 3
It was found that: while when ignoring skin effect, gas phase non-Darcy effects and retrograde condensation effect, water breakthrough time longest, water breakthrough is the latest；When
When gas pay thickness is identical, skin effect, gas phase non-Darcy effects and retrograde condensation, which act on these three factors, will lead to gas condensate reservoir
Bottom water accelerates coning, and the water breakthrough time shortens, and the influence of retrograde condensation effect is the most significant；When gas pay thickness is smaller, when water breakthrough
Between influenced by skin effect and gas phase non-Darcy effects little, but with the continuous increase of gas pay thickness, the water breakthrough time is by table
The influence of skin effect and gas phase non-Darcy effects is gradually increased；Likewise, the water breakthrough time is by condensation when gas pay thickness is smaller
The influence of gas reservoir retrograde condensation effect is smaller, but being gradually increased with gas pay thickness, water breakthrough time are influenced gradually by the factor
Increase；Regardless of whether consider the influence of these three factors, with the continuous increase of gas pay thickness, the gas well water breakthrough time all can be by
It is cumulative to add, and amplitude is gradually increased with the increase of gas pay thickness, and gas well water breakthrough is more late.
Fig. 4 is influence of the different gas production to the bottom water gas condensate reservoir water breakthrough time.As can be seen from Figure 4: with gas production
Be gradually increased, the bottom water gas condensate reservoir water breakthrough time constantly shortens；Gas production is bigger, then the producing pressure differential of gas well also increases therewith
Greatly, bottom water accelerates coning, and water breakthrough is more early；Meanwhile with the continuous increase of gas production, the water breakthrough time first accelerates to successively decrease, rear slow
Successively decrease, in general, lower yield is more advantageous to the coning for inhibiting bottom water, extends the anhydrous gas production phase.
Instance analysis shows that condensate reservoir development process is increasingly complex compared with normal gas pools；Utilize model prediction of the present invention
Water breakthrough time is closer practical；Skin effect, gas phase non-Darcy effects and retrograde condensation effect will lead to water breakthrough time shortening；
As gas pay thickness increases, gas well water breakthrough is more late；And as gas production increases, the water breakthrough time shows successively decreasing first quick and back slow
Trend.
Based on the same inventive concept, a kind of water breakthrough time prediction of bottom water gas condensate reservoir is additionally provided in the embodiment of the present invention
Device, as described in the following examples.The principle solved the problems, such as due to the water breakthrough time prediction meanss of bottom water gas condensate reservoir and bottom
The water breakthrough time prediction technique of water gas condensate reservoir is similar, therefore the implementation of the water breakthrough time prediction meanss of bottom water gas condensate reservoir can
With referring to the implementation of the water breakthrough time prediction technique of bottom water gas condensate reservoir, overlaps will not be repeated.It is used below, art
The combination of the software and/or hardware of predetermined function may be implemented in language " unit " or " module ".Although described by following embodiment
Device preferably realize that but the combined realization of hardware or software and hardware is also that may and be contemplated with software
's.
Fig. 5 is a kind of structural block diagram of the water breakthrough time prediction meanss of the bottom water gas condensate reservoir of the embodiment of the present invention, is such as schemed
Shown in 5, comprising:
The water breakthrough time computation model of bottom water gas condensate reservoir establishes module 501, for according to skin effect influence factor,
Gas phase non-Darcy effects influence factor and retrograde condensation function influence factor, the gas phase radial fluid flow production capacity based on perforated zone
The centripetal stream productivity model of the gas phase hemispherical of model and perforated zone lower part, the water breakthrough time for establishing bottom water gas condensate reservoir calculate
Model；
Actual production data acquisition module 502, for obtaining the actual production data of bottom water gas condensate reservoir；
The water breakthrough time prediction module 503 of bottom water gas condensate reservoir, for the water breakthrough time based on the bottom water gas condensate reservoir
Computation model predicts the water breakthrough time of bottom water gas condensate reservoir according to the actual production data of bottom water gas condensate reservoir.
The structure is illustrated below.
It is specifically used for when it is implemented, the water breakthrough time computation model of the bottom water gas condensate reservoir establishes module 501:
Meet non-Darcy's law according to gas phase and water phase meets Darcy's law, establishes air water two phase fluid flow model；
According to air water two phase fluid flow model, liquid and gas percolation flow velocity relational expression is established；
It establishes the moving distance on the water cone vertex on original gas-water interface and reaches the time history form in shaft bottom；
According to the gas phase radial fluid flow production capacity mould for the perforated zone for considering gas non-Darcy effects and stratum skin effect
The centripetal stream productivity model of gas phase hemispherical of the perforated zone lower part of type, consideration gas non-Darcy effects and stratum skin effect,
Establish the gas production of bottom water gas condensate reservoir perforated zone lower part；
According to the moving distance and arrival on the water cone vertex on liquid and gas percolation flow velocity relational expression, original gas-water interface
The time relationship in shaft bottom, the gas production of bottom water gas condensate reservoir perforated zone lower part and retrograde condensation function influence factor, establish bottom water
The water breakthrough time computation model of gas condensate reservoir.
It is specifically used for when it is implemented, the water breakthrough time computation model of the bottom water gas condensate reservoir establishes module 501: presses
The air water two phase fluid flow model is established according to formula (1)-(2).
It is specifically used for when it is implemented, the water breakthrough time computation model of the bottom water gas condensate reservoir establishes module 501: presses
The liquid and gas percolation flow velocity relational expression is established according to formula (3)-(4).
It is specifically used for when it is implemented, the water breakthrough time computation model of the bottom water gas condensate reservoir establishes module 501: presses
The moving distance on the water cone vertex on the original gas-water interface is established according to formula (5)-(6) and reaches the time relationship in shaft bottom
Formula.
It is specifically used for when it is implemented, the water breakthrough time computation model of the bottom water gas condensate reservoir establishes module 501: presses
The gas phase plane diameter of the perforated zone of the consideration gas non-Darcy effects and stratum skin effect is established according to formula (7)-(8)
To stream productivity model；
It is established according to formula (9)-(10) under the perforated zone of the consideration gas non-Darcy effects and stratum skin effect
The centripetal stream productivity model of the gas phase hemispherical in portion；
The gas production of bottom water gas condensate reservoir perforated zone lower part is established according to formula (11)-(18).
It is specifically used for when it is implemented, the water breakthrough time computation model of the bottom water gas condensate reservoir establishes module 501: presses
The water breakthrough time computation model of the bottom water gas condensate reservoir is established according to formula (19)-(31).
In conclusion the present invention is based on the gas of the gas phase radial fluid flow productivity model of perforated zone and perforated zone lower part
The centripetal stream productivity model of phase hemispherical, and comprehensively considered shaft bottom nearby gas phase non-Darcy effects, skin effect, retrograde condensation work
With the influence to the water breakthrough time, establishes and more suit the dynamic water breakthrough time computation model of bottom water gas condensate reservoir water cone, it can be with
Improve the accuracy of water breakthrough time prediction.
It should be understood by those skilled in the art that, the embodiment of the present invention can provide as method, system or computer journey
Sequence product.Therefore, complete hardware embodiment, complete software embodiment or combining software and hardware aspects can be used in the present invention
The form of embodiment.Moreover, it wherein includes the calculating of computer usable program code that the present invention, which can be used in one or more,
The computer program implemented in machine usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
The form of product.
The present invention be referring to according to the method for the embodiment of the present invention, the process of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that can be realized by computer program instructions each in flowchart and/or the block diagram
The combination of process and/or box in process and/or box and flowchart and/or the block diagram.It can provide these computers
Processor of the program instruction to general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices
To generate a machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute
For realizing the function of being specified in one or more flows of the flowchart and/or one or more blocks of the block diagram
Device.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that instruction stored in the computer readable memory generation includes
The manufacture of command device, the command device are realized in one box of one or more flows of the flowchart and/or block diagram
Or the function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer
Or the instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or box
The step of function of being specified in figure one box or multiple boxes.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the embodiment of the present invention can have various modifications and variations.All within the spirits and principles of the present invention, made
Any modification, equivalent substitution, improvement and etc., should all be included in the protection scope of the present invention.
Claims (14)
1. a kind of water breakthrough time prediction technique of bottom water gas condensate reservoir characterized by comprising
According to skin effect influence factor, gas phase non-Darcy effects influence factor and retrograde condensation function influence factor, it is based on perforation
The gas phase radial fluid flow productivity model of interval and the centripetal stream productivity model of the gas phase hemispherical of perforated zone lower part, establish bottom water
The water breakthrough time computation model of gas condensate reservoir；
Obtain the actual production data of bottom water gas condensate reservoir；
Based on the water breakthrough time computation model of the bottom water gas condensate reservoir, according to the actual production data of bottom water gas condensate reservoir, in advance
Survey the water breakthrough time of bottom water gas condensate reservoir.
2. the water breakthrough time prediction technique of bottom water gas condensate reservoir as described in claim 1, which is characterized in that according to skin effect
Influence factor, gas phase non-Darcy effects influence factor and retrograde condensation function influence factor, the gas phase plane diameter based on perforated zone
To the centripetal stream productivity model of gas phase hemispherical of stream productivity model and perforated zone lower part, when establishing the water breakthrough of bottom water gas condensate reservoir
Between computation model, comprising:
Meet non-Darcy's law according to gas phase and water phase meets Darcy's law, establishes air water two phase fluid flow model；
According to air water two phase fluid flow model, liquid and gas percolation flow velocity relational expression is established；
It establishes the moving distance on the water cone vertex on original gas-water interface and reaches the time history form in shaft bottom；
According to the gas phase radial fluid flow productivity model for the perforated zone for considering gas non-Darcy effects and stratum skin effect, examine
The centripetal stream productivity model of gas phase hemispherical for considering the perforated zone lower part of gas non-Darcy effects and stratum skin effect, establishes bottom
The gas production of water gas condensate reservoir perforated zone lower part；
According to the moving distance on the water cone vertex on liquid and gas percolation flow velocity relational expression, original gas-water interface and reach shaft bottom
Time relationship, the gas production of bottom water gas condensate reservoir perforated zone lower part and retrograde condensation function influence factor, establish bottom water condensation
The water breakthrough time computation model of gas reservoir.
3. the water breakthrough time prediction technique of bottom water gas condensate reservoir as claimed in claim 2, which is characterized in that the air water two-phase
Flow model in porous media is established according to following formula:
Wherein, Pg、PwThe respectively pressure of gas phase and water phase, MPa；μg、μwThe respectively viscosity of gas phase and water phase, mPas；Vg、
VwThe respectively percolation flow velocity of gas phase and water phase, m/d；Kg、KwThe respectively effective permeability of gas phase and water phase, mD；R is radial
Radius, m；β is non-Darcy flow coefficient, m-1；ρgFor the density of gas phase, g/cm3。
4. the water breakthrough time prediction technique of bottom water gas condensate reservoir as claimed in claim 3, which is characterized in that the liquid phase is gentle
Phase percolation flow velocity relational expression is established according to following formula:
Wherein, MwgFor aqueous vapor mobility ratio, Mwg=(Kw/μw)/(Kg/μg)。
5. the water breakthrough time prediction technique of bottom water gas condensate reservoir as claimed in claim 4, which is characterized in that the original air water
The moving distance on the water cone vertex on interface and the time history form for reaching shaft bottom are established according to following formula:
Wherein, φ is porosity, dimensionless；T is time, d；SwiFor original water saturation, dimensionless；SgrFor residual gas saturation
Degree, dimensionless；SocFor remaining condensate saturation degree, dimensionless.
6. the water breakthrough time prediction technique of bottom water gas condensate reservoir as claimed in claim 5, which is characterized in that the consideration gas
The gas phase radial fluid flow productivity model of the perforated zone of non-Darcy effects and stratum skin effect is established according to following formula:
Wherein, PeFor supply pressure, MPa；PwfFor bottom pressure, MPa；T is reservoir temperature, K；Z is deviation factors, dimensionless；hp
For gas reservoir perforated zone thickness, m；Q1For the yield of perforated zone, m3/d；reFor drainage radius, m；rwFor wellbore radius, m；S is
Skin factor, dimensionless；γgFor gas phase relative density, dimensionless；D1For inertia coeffeicent, (m3·d-1)-1；
The centripetal miscarriage energy of gas phase hemispherical of the perforated zone lower part for considering gas non-Darcy effects and stratum skin effect
Model is established according to following formula:
Wherein, D2For inertia coeffeicent, (m3·d-1)-1；KsFor effective permeability,mD；KvTo be seeped in vertical direction
Saturating rate, mD；KhFor permeability in horizontal direction, mD；Q2For the gas production of gas reservoir perforated zone lower part, m3/d；
The gas production of bottom water gas condensate reservoir perforated zone lower part is established according to following formula:
Wherein, A, B, C are coefficient of dynamics, and Q is the total gas production of bottom water gas condensate reservoir, Q=Q1+Q2。
7. the water breakthrough time prediction technique of bottom water gas condensate reservoir as claimed in claim 6, which is characterized in that the bottom water condensation
The water breakthrough time computation model of gas reservoir is established according to following formula:
Wherein, tbtFor the water breakthrough time of bottom water gas condensate reservoir, d；F, G, D, E are coefficient of dynamics；hbFor bottom water gas condensate reservoir perforation
The thickness of interval lower part, m；DC is condensate increment or reduction amount in unit volume condensate gas, m3/m3；PRTo be primitively laminated
Power, MPa；BgFor the volume factor of gas, dimensionless；H is gas reservoir thickness, m；rbFor condensate saturation degree critical in reservoir gaps
Obstruction radius, m；Y is the retrograde condensation factor, m3/(m3·MPa)。
8. a kind of water breakthrough time prediction meanss of bottom water gas condensate reservoir characterized by comprising
The water breakthrough time computation model of bottom water gas condensate reservoir establishes module, for according to skin effect influence factor, gas phase is non-reaches
Western effects factor and retrograde condensation function influence factor, gas phase radial fluid flow productivity model and perforation based on perforated zone
The centripetal stream productivity model of the gas phase hemispherical of interval lower part, establishes the water breakthrough time computation model of bottom water gas condensate reservoir；
Actual production data acquisition module, for obtaining the actual production data of bottom water gas condensate reservoir；
The water breakthrough time prediction module of bottom water gas condensate reservoir calculates mould for the water breakthrough time based on the bottom water gas condensate reservoir
Type predicts the water breakthrough time of bottom water gas condensate reservoir according to the actual production data of bottom water gas condensate reservoir.
9. the water breakthrough time prediction meanss of bottom water gas condensate reservoir as claimed in claim 8, which is characterized in that the bottom water condensation
The water breakthrough time computation model of gas reservoir is established module and is specifically used for:
Meet non-Darcy's law according to gas phase and water phase meets Darcy's law, establishes air water two phase fluid flow model；
According to air water two phase fluid flow model, liquid and gas percolation flow velocity relational expression is established；
It establishes the moving distance on the water cone vertex on original gas-water interface and reaches the time history form in shaft bottom；
According to the gas phase radial fluid flow productivity model for the perforated zone for considering gas non-Darcy effects and stratum skin effect, examine
The centripetal stream productivity model of gas phase hemispherical for considering the perforated zone lower part of gas non-Darcy effects and stratum skin effect, establishes bottom
The gas production of water gas condensate reservoir perforated zone lower part；
According to the moving distance on the water cone vertex on liquid and gas percolation flow velocity relational expression, original gas-water interface and reach shaft bottom
Time relationship, the gas production of bottom water gas condensate reservoir perforated zone lower part and retrograde condensation function influence factor, establish bottom water condensation
The water breakthrough time computation model of gas reservoir.
10. the water breakthrough time prediction meanss of bottom water gas condensate reservoir as claimed in claim 9, which is characterized in that the bottom water is solidifying
The water breakthrough time computation model of gassing hiding is established module and is specifically used for:
The air water two phase fluid flow model is established according to following formula:
Wherein, Pg、PwThe respectively pressure of gas phase and water phase, MPa；μg、μwThe respectively viscosity of gas phase and water phase, mPas；Vg、
VwThe respectively percolation flow velocity of gas phase and water phase, m/d；Kg、KwThe respectively effective permeability of gas phase and water phase, mD；R is radial
Radius, m；β is non-Darcy flow coefficient, m-1；ρgFor the density of gas phase, g/cm3。
11. the water breakthrough time prediction meanss of bottom water gas condensate reservoir as claimed in claim 10, which is characterized in that the bottom water is solidifying
The water breakthrough time computation model of gassing hiding is established module and is specifically used for:
The liquid and gas percolation flow velocity relational expression is established according to following formula:
Wherein, MwgFor aqueous vapor mobility ratio, Mwg=(Kw/μw)/(Kg/μg)。
12. the water breakthrough time prediction meanss of bottom water gas condensate reservoir as claimed in claim 11, which is characterized in that the bottom water is solidifying
The water breakthrough time computation model of gassing hiding is established module and is specifically used for:
It is closed according to the time that following formula establishes the moving distance on the water cone vertex on the original gas-water interface and reaches shaft bottom
It is formula:
Wherein, φ is porosity, dimensionless；T is time, d；SwiFor original water saturation, dimensionless；SgrFor residual gas saturation
Degree, dimensionless；SocFor remaining condensate saturation degree, dimensionless.
13. the water breakthrough time prediction meanss of bottom water gas condensate reservoir as claimed in claim 12, which is characterized in that the bottom water is solidifying
The water breakthrough time computation model of gassing hiding is established module and is specifically used for:
The gas phase plane of the perforated zone of the consideration gas non-Darcy effects and stratum skin effect is established according to following formula
Radial flow productivity model:
Wherein, PeFor supply pressure, MPa；PwfFor bottom pressure, MPa；T is reservoir temperature, K；Z is deviation factors, dimensionless；hp
For gas reservoir perforated zone thickness, m；Q1For the yield of perforated zone, m3/d；reFor drainage radius, m；rwFor wellbore radius, m；S is
Skin factor, dimensionless；γgFor gas phase relative density, dimensionless；D1For inertia coeffeicent, (m3·d-1)-1；
The gas phase of the perforated zone lower part of the consideration gas non-Darcy effects and stratum skin effect is established according to following formula
The centripetal stream productivity model of hemispherical:
Wherein, D2For inertia coeffeicent, (m3·d-1)-1；KsFor effective permeability,mD；KvTo be seeped in vertical direction
Saturating rate, mD；KhFor permeability in horizontal direction, mD；Q2For the gas production of gas reservoir perforated zone lower part, m3/d；
The gas production of bottom water gas condensate reservoir perforated zone lower part is established according to following formula:
Wherein, A, B, C are coefficient of dynamics, and Q is the total gas production of bottom water gas condensate reservoir, Q=Q1+Q2。
14. the water breakthrough time prediction meanss of bottom water gas condensate reservoir as claimed in claim 13, which is characterized in that the bottom water is solidifying
The water breakthrough time computation model of gassing hiding is established module and is specifically used for:
The water breakthrough time computation model of the bottom water gas condensate reservoir is established according to following formula:
Wherein, tbtFor the water breakthrough time of bottom water gas condensate reservoir, d；F, G, D, E are coefficient of dynamics；hbFor bottom water gas condensate reservoir perforation
The thickness of interval lower part, m；DC is condensate increment or reduction amount in unit volume condensate gas, m3/m3；PRTo be primitively laminated
Power, MPa；BgFor the volume factor of gas, dimensionless；H is gas reservoir thickness, m；rbFor condensate saturation degree critical in reservoir gaps
Obstruction radius, m；Y is the retrograde condensation factor, m3/(m3·MPa)。
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109884726A (en) * | 2019-03-07 | 2019-06-14 | 中国石油大学(北京) | The gas breakthrough time prediction technique and device of gas-drive pool |
| CN111364979A (en) * | 2020-03-23 | 2020-07-03 | 中国石油大学(华东) | Underground gas invasion monitoring system based on ultrasonic waves |
| CN112446118A (en) * | 2019-08-13 | 2021-03-05 | 中国石油化工股份有限公司 | Prediction method for water breakthrough time of water gas reservoir at bottom of complex biological reef |
| CN113356817A (en) * | 2021-07-19 | 2021-09-07 | 中海油田服务股份有限公司 | Perforation optimization design method for bottom water reservoir horizontal well based on prolonging anhydrous oil production period |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2293214C2 (en) * | 2005-01-25 | 2007-02-10 | Иван Яковлевич Клюшин | Method of action on pre-bottom zone of well in hydrocarbon field with bottom water and recovery of oil and water by pumps-compressors with separate intake for coneless operation of well |
| CN106499371A (en) * | 2015-09-06 | 2017-03-15 | 中国石油天然气股份有限公司 | A kind of standing column well gas injection improves the method and device of Condensate Gas Reservoir recovery ratio |
| CN107045671A (en) * | 2017-03-22 | 2017-08-15 | 重庆科技学院 | Water-producing gas well hydrops Risk Forecast Method |
-
2018
- 2018-06-22 CN CN201810649707.3A patent/CN109033518A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2293214C2 (en) * | 2005-01-25 | 2007-02-10 | Иван Яковлевич Клюшин | Method of action on pre-bottom zone of well in hydrocarbon field with bottom water and recovery of oil and water by pumps-compressors with separate intake for coneless operation of well |
| CN106499371A (en) * | 2015-09-06 | 2017-03-15 | 中国石油天然气股份有限公司 | A kind of standing column well gas injection improves the method and device of Condensate Gas Reservoir recovery ratio |
| CN107045671A (en) * | 2017-03-22 | 2017-08-15 | 重庆科技学院 | Water-producing gas well hydrops Risk Forecast Method |
Non-Patent Citations (2)
| Title |
|---|
| 明瑞卿 等: "边水凝析气藏高产井见水时间预测新模型" * |
| 黄全华 等: "带隔板底水气藏见水时间预测方法" * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109884726A (en) * | 2019-03-07 | 2019-06-14 | 中国石油大学(北京) | The gas breakthrough time prediction technique and device of gas-drive pool |
| CN109884726B (en) * | 2019-03-07 | 2020-08-04 | 中国石油大学(北京) | Gas-drive reservoir gas-visible time prediction method and device |
| CN112446118A (en) * | 2019-08-13 | 2021-03-05 | 中国石油化工股份有限公司 | Prediction method for water breakthrough time of water gas reservoir at bottom of complex biological reef |
| CN112446118B (en) * | 2019-08-13 | 2022-08-12 | 中国石油化工股份有限公司 | Prediction method for water breakthrough time of water gas reservoir at bottom of complex biological reef |
| CN111364979A (en) * | 2020-03-23 | 2020-07-03 | 中国石油大学(华东) | Underground gas invasion monitoring system based on ultrasonic waves |
| CN111364979B (en) * | 2020-03-23 | 2023-05-23 | 中国石油大学(华东) | Underground gas invasion monitoring system based on ultrasonic waves |
| CN113356817A (en) * | 2021-07-19 | 2021-09-07 | 中海油田服务股份有限公司 | Perforation optimization design method for bottom water reservoir horizontal well based on prolonging anhydrous oil production period |
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