CN104879103B - Layered water injection effect analysis method - Google Patents
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Abstract
The invention provides a method for analyzing the effect of layered water injection, which comprises the following steps: acquiring data of a production well, an injection well and an oil reservoir, and determining dynamic parameters and static parameters of each well and the oil reservoir; generating the longitudinal oil layer utilization degree and water injection strength of a water injection well according to the water absorption profile test data in the dynamic parameters; establishing a Lorentz curve model describing the relation between the accumulated jetting sandstone thickness and the accumulated water absorption according to the water absorption profile test data and the water injection strength; and calculating the water absorption equilibrium degree of the oil layer according to the Lorentz curve model so as to realize the analysis of the layered water injection effect. By the method, the proportion of the thickness of the longitudinally-used sandstone of the water injection well to the total jetting sandstone thickness and the overall water absorption balance condition of each jetting small layer can be quantitatively evaluated; the method can find factors influencing the separate injection water by combining the actual measurement of the water absorption profile, the formation physical property, the sedimentary facies, the separate injection pipe column structure and the injection allocation data of the separate injection well over the years.
Description
Technical field
The present invention relates to oil gas field separate zone waterflooding technology, more particularly to a kind of seperated layer water injection effect analysis method.
Background technology
Fine separate zone waterflooding technology be increasingly becoming the main water drive of high water cut stage stratified reservoir tap the latent power well stimulation it
One.By taking Daqing oil field as an example, well longitudinal divisionses number is generally adjusted to 4 sections and more than 4 sections, seperated layer water injection real-time monitoring and control
System is also more advanced, but the fine seperated layer water injection effect of different wells is uneven, and because injection-production relation is complicated, suction
The problems such as water change is various is also difficult to accurate evaluation, and this will lead to not adjust water nozzle guarantee point according to the change of water filling qualification rate
Layer water filling dynamic qualification rate, it is impossible to judge which well should further segment interval or adjustment segmental structure, continue to segment
Segmented mode and policy demarcation line be also all difficult to choose, thus need badly probe into a set of reliable fine seperated layer water injection effect assessment and
Forecasting Methodology, and then the principal element of influence dispensing is found out in terms of geology, engineering, exploitation, this is noted also with fine layering
Water technology further improves the key of waterflood recovery efficiency factor.
Effect assessment and prediction are carried out mainly according to dynamic for the individual well using stratified injection water technology in the prior art
Monitoring Data qualitatively comparative analysis, such as Pei Chenghe is evaluated for the seperated layer water injection effect of Chang-6 oil reservoir, is mainly led to
The change of intake profile and the oil-producing increment of surrounding oil well before and after contrast dispensing measure is crossed qualitatively to illustrate the effect of seperated layer water injection
Really (application Xi'an Petroleum University journal of the refined separate zone waterflooding technologies of Pei Chenghe, Chen Shoumin, Chen Jun in Chang-6 oil reservoir exploitation is (certainly
Right science version), 2006,21 (2):33-36.).The problem being primarily present of above-mentioned evaluation method includes：1. existing individual well divides
Note evaluation method can not accurately compare for the effect of the same water well segmentation adjustment fine dispensing of front and rear and different wells.②
The high water cut oil field oil of waterflooding development, well corresponding relation are complicated at this stage, and well stimulation is various, is sentenced by oil well oil increment
The dispensing effect of disconnected specific well is extremely difficult.
The content of the invention
The present invention provides a kind of seperated layer water injection effect analysis method, to realize noting the water injection well for taking stratified injection water technology
Enter effect and reservoir producing situation is evaluated, for the use stratified injection water technology of science provides foundation, improve recovery ratio.
To achieve these goals, the present invention provides a kind of seperated layer water injection effect analysis method, the seperated layer water injection effect
Analysis method includes：
Producing well, injection well and Reservoir Data are obtained, the dynamic parameter and static parameter of each well and oil reservoir is determined；
Intake profile Test data generation water injection well in the dynamic parameter penetrate out oil reservoir vertical producing degree with
And water injection intensity；
Description is set up according to the intake profile test data and water injection intensity to add up to penetrate out sandstone thickness with accumulative water suction
The Lorentz curve model of relation between amount；
Oil reservoir water suction balance degree is calculated according to described Lorentz curve model, to realize seperated layer water injection effect analysis.
In one embodiment, the seperated layer water injection effect analysis method also includes：
According to well location coordinate, completion mode, perforating depth, well head, well depth, hole deviation, well track data, purpose of horizon hole
Porosity, permeability and dynamic parameter draw individual well assessment parameter figure；
Then in conjunction with the individual well assessment parameter figure, according to oil reservoir water suction balance degree, development degree, water filling
Intensity and individual well assessment parameter figure determine the influence factor comprising allocation process, sedimentary facies and permeability grade.
In one embodiment, the seperated layer water injection effect analysis method also includes：
According to the pass of characteristics of reservoirs, fluid properties, oil reservoir static parameter, original formation pressure distribution or pressure and depth
System sets up seperated layer water injection block reservoir numerical simulation model；
History matching is carried out to the seperated layer water injection block reservoir numerical simulation model based on intake profile test data, it is raw
Into optimization seperated layer water injection block reservoir numerical simulation model.
In one embodiment, the seperated layer water injection effect analysis method also includes：
Water suction according to the following fine seperated layer water injection of the optimization seperated layer water injection block reservoir numerical simulation model prediction is cutd open
Face.
In one embodiment, the seperated layer water injection effect analysis method also includes：According to the Lorentz curve model and
Influence factor carries out seperated layer water injection effect assessment.
In one embodiment, the static parameter includes：Every mouthful of well location coordinate, completion mode, perforating depth, the well of well
Head, well depth, hole deviation and well track data, it is the structural configuration of oil reservoir purpose of horizon, log analysis data, seismic interpretation data, disconnected
Layer data, the porosity of purpose of horizon, permeability, oil saturation and original formation pressure parameter, rock and fluid in stratum
High pressure property data.
In one embodiment, the dynamic parameter includes：Individual well Production development data, intake profile test data, oil-producing
Section plane test data, injection allocation data and tubular column structure data.
In one embodiment, the intake profile Test data generation water injection well in the dynamic parameter is penetrated out oil reservoir and is indulged
To development degree and water injection intensity, including：
According to history intake profile test data, different production time substratum water absorptions are counted；
Sandstone thickness is longitudinally employed according to water injection well and is always penetrated out sandstone thickness and is calculated water injection well and penetrated out oil reservoir and longitudinally employ
Degree：
The water injection intensity is calculated according to small thickness and the substratum water absorption：
In one embodiment, description is set up according to the intake profile test data and water injection intensity to add up to penetrate out sandstone thickness
The Lorentz curve model of relation between degree and accumulative water absorption, including：
By in profile-log of water injection multiple water accepting layer penetrate out sandstone thickness and its water absorption by the water injection intensity from
It is low to high to be ranked up；
Determined according to the total suction ratio under the accumulative sandstone thickness ratio and the sandstone thickness ratio at weak water injection intensity end
Adopted Lorentz curve function, the Lorentz curve function meets the necessary and sufficient condition of Lorentz curve：
L (0)=0, L (1)=1, L'(p) >=0, L " (p) >=0；
From Sarabia Lorentz curves Rate Based On The Extended Creep Model as fitting data point Lorentz curve model L (p)：
L (p)=pα[1-(1-pr)β]η
Wherein, α, γ, β, η are Lorentz curve model parameter.
In one embodiment, the seperated layer water injection effect analysis method also includes：Using particle swarm optimization algorithm to described
Lorentz curve model parameter is optimized, to improve the fitting journey of the Lorentz curve model and intake profile test data
Degree.
In one embodiment, the Lorentz curve model parameter is optimized using particle swarm optimization algorithm, to carry
The fitting degree of the Lorentz curve model high and intake profile test data, including：
With the solution of the positional representation of each particle parameter to be optimized；
Will need fitting Lorentz curve model conversation be object function to be optimized, obtain corresponding fitness value with
Evaluate the performance of each particle.
In one embodiment, according to characteristics of reservoirs, fluid properties, oil reservoir static parameter, original formation pressure distribution or
Pressure sets up seperated layer water injection block reservoir numerical simulation model with the relation of depth, including：
Reservoir model is set up according to characteristics of reservoirs and fluid properties, by shape after the reservoir model discretization
Into numerical model；
Geological model is set up according to oil reservoir static parameter；
Relation, rock and fluid properties according to original formation pressure distribution or pressure and depth is to the numerical model
And geological model is initialized, seperated layer water injection block reservoir numerical simulation model is generated.
Embodiment of the present invention beneficial effect is, by means of the invention it is possible to the evaluation water injection well of quantification longitudinally employs sand
Rock thickness accounts for the ratio for always penetrating out sandstone thickness, and respectively penetrates out substratum water suction equilibrium situation on the whole；Dispensing can be combined
The actual measurement intake profile over the years of well, formation physical property, sedimentary facies, separate injection tubing string structure and injection allocation data find influence seperated layer water injection
Factor；Reservoir numerical simulation is more accurately carried out by the constraint of intake profile data, the effect to seperated layer water injection is carried out effectively
Prediction.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
The accompanying drawing to be used needed for having technology description is briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is the seperated layer water injection effect analysis method flow chart of the embodiment of the present invention；
Fig. 2 penetrates out oil reservoir vertical producing degree and water injection intensity calculation flow chart for the water injection well of the embodiment of the present invention；
Fig. 3 is to set up the method flow diagram of Lorentz curve model in the embodiment of the present invention；
Fig. 4 is the seperated layer water injection effect analysis method flow chart of another embodiment of the present invention；
Fig. 5 is the method flow diagram of the intake profile of the following fine seperated layer water injection of prediction in the embodiment of the present invention；
Fig. 6 is the method flow diagram of optimization seperated layer water injection block reservoir numerical simulation model in the embodiment of the present invention；
Fig. 7 is the seperated layer water injection effect assessment and numerical Simulation Prediction method flow diagram of the embodiment of the present invention；
Fig. 8 is the X6-3-134 wells intake profile and Permeability Distribution characteristic pattern of the embodiment of the present invention；
Fig. 9 is the X6-2-26 wells intake profile and Permeability Distribution characteristic pattern of the embodiment of the present invention.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
The present invention provides a kind of seperated layer water injection effect analysis method, as shown in figure 1, the seperated layer water injection effect analysis method
Including：
Step 101：Producing well, injection well and Reservoir Data are obtained, the dynamic parameter and static ginseng of each well and oil reservoir is determined
Number；
Step 102：It is longitudinally dynamic that intake profile Test data generation water injection well in the dynamic parameter penetrates out oil reservoir
With degree and water injection intensity；
Step 103：According to the intake profile test data and water injection intensity set up description it is accumulative penetrate out sandstone thickness with
The Lorentz curve model of relation between accumulative water absorption；
Step 104：Oil reservoir water suction balance degree is calculated according to described Lorentz curve model, to realize that seperated layer water injection is imitated
Fruit is analyzed.
Flow as shown in Figure 1 understands that the present invention sets up according to the dynamic parameter or static parameter of producing well and water injection well
The accumulative Lorentz curve model for penetrating out relation between sandstone thickness and accumulative water absorption of description, then solves Lorentz curve mould
Type, oil reservoir water suction balance degree is calculated with this, it is possible to achieve the water injection well to taking stratified injection water technology injects effect to be commented
Valency.
In one embodiment, static parameter includes：Every mouthful of well location coordinate of well, completion mode, perforating depth, well head, well depth,
Hole deviation and well track data, oil reservoir purpose of horizon structural configuration (including：Top surface, bottom surface structural map etc.), log analysis data,
Seismic interpretation data, layer data, the porosity of purpose of horizon, permeability, oil saturation and original formation pressure parameter, ground
In layer rock and fluid high-voltage physics data (including：Phase percolation curve, capillary pressure curve, PTV data etc.).
In one embodiment, dynamic parameter includes：Individual well Production development data (including：Oil production, aquifer yield, gas production, gas
Oily ratio, moisture content, oil pressure, casing pressure, flowing bottomhole pressure (FBHP), with fluence etc.), intake profile test data, oil-producing section plane test data, match somebody with somebody
Register capital to material, tubular column structure data (including：Packer location, water nozzle size etc.).
As shown in Fig. 2 when step 102 is embodied, may include steps of：
Step 201：According to history intake profile test data, different production time substratum water absorptions are counted；
Step 202：Sandstone thickness is longitudinally employed according to water injection well and sandstone thickness calculating water injection well is always penetrated out and penetrates out oil reservoir
Vertical producing degree：
Above-mentioned water injection well penetrates out oil reservoir vertical producing degree and always penetrates out sandstone for water injection well is longitudinally employed sandstone thickness and accounted for
The ratio of thickness.
Step 203：The water injection intensity is calculated according to small thickness and the substratum water absorption：
The water injection intensity is the water absorption that unit thickness penetrates out oil reservoir.
As shown in figure 3, when step 103 is embodied, may include steps of：
Step 301：Multiple water accepting layer in profile-log of water injection is penetrated into open sandstone thickness and its water absorption by the note
Water intensity is ranked up from low to high；
Step 302：According to the total water suction under the accumulative sandstone thickness ratio and the sandstone thickness ratio at weak water injection intensity end
Amount ratio defines Lorentz curve function, and the Lorentz curve function meets the necessary and sufficient condition of Lorentz curve：
L (0)=0, L (1)=1, L'(p) >=0, L " (p) >=0；
In formula, the accumulative sandstone thickness ratio p ∈ [0,1] at weak water injection intensity end, the total suction under sandstone thickness ratio
Ratio L (p) ∈ [0,1].
Step 303：From Sarabia Lorentz curves Rate Based On The Extended Creep Model as fitting data point Lorentz curve model
L(p)：
L (p)=pα[1-(1-pr)β]η
Wherein, α, γ, β, η are Lorentz curve model parameter.
After step 103 establishes Lorentz curve model, in addition it is also necessary to the Lorentz curve set up in solution procedure 103
Model, is optimized using particle swarm optimization algorithm to the Lorentz curve model parameter, to improve the Lorentz curve
The fitting degree of model and intake profile test data.Specifically, with the positional representation of each particle in particle swarm optimization algorithm
The solution of parameter to be optimized, the dimension that random generation one has the n population of particle, each particle when initial is d, represents not
Know several numbers, therefore fitting problems can be converted into optimization problem, it would be desirable to which the Lorentz curve model conversation of fitting is to treat
The object function of optimization, (fitness value needs to calculate many performance that corresponding fitness value is obtained accordingly to evaluate each particle
Secondary iteration), new particle rapidity and position is calculated after each iteration, retain preferably particle after being contrasted with fitness value before
Position, finally gives globally optimal solution.
In one embodiment, as shown in figure 4, after step 104, seperated layer water injection effect analysis method of the invention is also wrapped
Include：
Step 401：According to well location coordinate, completion mode, perforating depth, well head, well depth, hole deviation, well track data, purpose
The layer porosity of position, permeability and dynamic parameter draw individual well assessment parameter figure；
Step 402：With reference to the individual well assessment parameter figure, according to the oil reservoir absorb water balance degree, development degree,
Water injection intensity and individual well assessment parameter figure determine the influence factor comprising allocation process, sedimentary facies and permeability grade；
Step 403：Seperated layer water injection effect assessment is carried out according to the Lorentz curve model and influence factor.
Flow as shown in Figure 4 understands that the present invention sets up according to the dynamic parameter or static parameter of producing well and water injection well
The accumulative Lorentz curve model for penetrating out relation between sandstone thickness and accumulative water absorption of description, then solves Lorentz curve mould
Type, oil reservoir water suction balance degree is calculated with this, finally draws individual well assessment parameter figure, it is determined that comprising allocation process, deposition
Mutually with the influence factor of permeability grade, can preferably realize being carried out to taking the water injection well of stratified injection water technology to inject effect
Evaluate.
Using the dynamic parameter and static parameter of the oil reservoir obtained in step 101, following fine seperated layer water injection can be predicted
Intake profile, as shown in figure 5, specific method includes：
Step 501：According to characteristics of reservoirs, fluid properties, oil reservoir static parameter, original formation pressure distribution or pressure with
The relation of depth sets up seperated layer water injection block reservoir numerical simulation model；
Step 502：The seperated layer water injection block reservoir numerical simulation model is gone through based on intake profile test data
History is fitted, generation optimization seperated layer water injection block reservoir numerical simulation model；
Step 503：According to the following fine seperated layer water injection of the optimization seperated layer water injection block reservoir numerical simulation model prediction
Intake profile.
As shown in fig. 6, in one embodiment, step 502 comprises the following steps：
Step 601：Reservoir model is set up (including oil gas water three phase seepage flow according to characteristics of reservoirs and fluid properties
Equation, inner and outer boundary condition and constraints etc.), numerical model will be formed after the reservoir model discretization；
Step 602：Geological model is set up according to oil reservoir static parameter；
Step 603：Relation, rock and fluid properties according to original formation pressure distribution or pressure and depth is to described
Numerical model and geological model are initialized, and generate seperated layer water injection block reservoir numerical simulation model.
When step 603 is embodied, it is necessary to relation, rock according to original formation pressure distribution or pressure and depth and
Fluid properties are initialized to two models, generate seperated layer water injection block reservoir numerical simulation model.In addition, in addition it is also necessary to set
Nonlinear analysis control parameter：Computational accuracy, the initialization of iterative number of times are set and calculate data (the three of initialization geological model
Dimension pressure and saturation field data and time data, then carry out solving seperated layer water injection block oil reservoir using decoupling fully implicit solution algorithm
Numerical simulator.
Seperated layer water injection effect analysis method shown in Fig. 1 to Fig. 6 can be summarized by Fig. 7, as shown in fig. 7,
By producing well data and injection well data in left branch, foundation is divided into Evaluation of Affusion Effect method, according to Lorentz curve mould
Type and influence factor carry out seperated layer water injection effect assessment.Reservoir numerical simulation model is set up by Reservoir Data in right branch, and
History matching, the intake profile of the following fine seperated layer water injection of prediction are constrained using intake profile test data.By shown in Fig. 7
Method, finally realizes the individual well injection effect to dispensing scheme and the prediction of reservoir producing effect.Fig. 8 is the embodiment of the present invention
X6-3-134 wells intake profile and Permeability Distribution characteristic pattern, Fig. 9 for the embodiment of the present invention X6-2-26 wells intake profile and
(in Fig. 8 and Fig. 9, A is the section intrinsic permeability coefficient of variation to Permeability Distribution characteristic pattern, and B is that section intrinsic permeability is differential, and C is water absorption
With with the ratio between fluence), Fig. 8 and Fig. 9 shows intake profile and Permeability Distribution.
By means of the invention it is possible to the evaluation water injection well of quantification longitudinally employs sandstone thickness and accounts for the ratio for always penetrating out sandstone thickness
Example, and respectively penetrate out substratum water suction equilibrium situation on the whole；Actual measurement intake profile over the years, the stratum thing of dispensing well can be combined
Property, sedimentary facies, separate injection tubing string structure and injection allocation data find the factor of influence seperated layer water injection；By the constraint of intake profile data
More accurately carry out reservoir numerical simulation, the effect to seperated layer water injection is effectively predicted.
It should be understood by those skilled in the art that, embodiments of the invention can be provided as method, system or computer program
Product.Therefore, the present invention can be using the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware
Apply the form of example.And, the present invention can be used and wherein include the computer of computer usable program code at one or more
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) is produced
The form of product.
The present invention is the flow with reference to method according to embodiments of the present invention, equipment (system) and computer program product
Figure and/or block diagram are described.It should be understood that every first-class during flow chart and/or block diagram can be realized by computer program instructions
The combination of flow and/or square frame in journey and/or square frame and flow chart and/or block diagram.These computer programs can be provided
The processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that produced for reality by the instruction of computer or the computing device of other programmable data processing devices
The device of the function of being specified in present one flow of flow chart or multiple one square frame of flow and/or block diagram or multiple square frames.
These computer program instructions may be alternatively stored in can guide computer or other programmable data processing devices with spy
In determining the computer-readable memory that mode works so that instruction of the storage in the computer-readable memory is produced and include finger
Make the manufacture of device, the command device realize in one flow of flow chart or multiple one square frame of flow and/or block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that in meter
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented treatment, so as in computer or
The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in individual square frame or multiple square frames.
Apply specific embodiment in the present invention to be set forth principle of the invention and implementation method, above example
Explanation be only intended to help and understand the method for the present invention and its core concept；Simultaneously for those of ordinary skill in the art,
According to thought of the invention, will change in specific embodiments and applications, in sum, in this specification
Appearance should not be construed as limiting the invention.
Claims (11)
1. a kind of seperated layer water injection effect analysis method, it is characterised in that the seperated layer water injection effect analysis method includes：
Producing well, injection well and Reservoir Data are obtained, the dynamic parameter and static parameter of each well and oil reservoir is determined；
Intake profile Test data generation water injection well in the dynamic parameter penetrates out oil reservoir vertical producing degree and note
Water intensity；
According to the intake profile test data and water injection intensity set up description it is accumulative penetrate out sandstone thickness and accumulative water absorption it
Between relation Lorentz curve model；
Oil reservoir water suction balance degree is calculated according to described Lorentz curve model, to realize seperated layer water injection effect analysis；
According to well location coordinate, completion mode, perforating depth, well head, well depth, hole deviation, well track data, purpose of horizon hole
Degree, permeability and dynamic parameter draw individual well assessment parameter figure；
With reference to the individual well assessment parameter figure, according to oil reservoir water suction balance degree, development degree, water injection intensity and list
Well assessment parameter figure determines the influence factor comprising allocation process, sedimentary facies and permeability grade.
2. seperated layer water injection effect analysis method according to claim 1, it is characterised in that the seperated layer water injection effect analysis
Method also includes：
Relation according to characteristics of reservoirs, fluid properties, oil reservoir static parameter, original formation pressure distribution or pressure and depth is built
Vertical seperated layer water injection block reservoir numerical simulation model；
History matching is carried out to the seperated layer water injection block reservoir numerical simulation model based on intake profile test data, is generated excellent
Change seperated layer water injection block reservoir numerical simulation model.
3. seperated layer water injection effect analysis method according to claim 2, it is characterised in that the seperated layer water injection effect analysis
Method also includes：
According to the intake profile of the following fine seperated layer water injection of the optimization seperated layer water injection block reservoir numerical simulation model prediction.
4. seperated layer water injection effect analysis method according to claim 2, it is characterised in that the seperated layer water injection effect analysis
Method also includes：Seperated layer water injection effect assessment is carried out according to the Lorentz curve model and influence factor.
5. the seperated layer water injection effect analysis method according to any one of claim 1-4, it is characterised in that the static ginseng
Number includes：Every mouthful of the well location coordinate of well, completion mode, perforating depth, well head, well depth, hole deviation and well track data, oil reservoir purpose
Structural configuration, log analysis data, seismic interpretation data, the layer data of layer position, the porosity of purpose of horizon, permeability, contain
Oily saturation degree and original formation pressure parameter, the high pressure property data of rock and fluid in stratum.
6. the seperated layer water injection effect analysis method according to any one of claim 1-4, it is characterised in that the dynamic ginseng
Number includes：Individual well Production development data, intake profile test data, oil-producing section plane test data, injection allocation data and tubular column structure
Data.
7. the seperated layer water injection effect analysis method according to any one of claim 1-4, it is characterised in that according to described dynamic
Intake profile Test data generation water injection well in state parameter penetrates out oil reservoir vertical producing degree and water injection intensity, including：
According to history intake profile test data, different production time substratum water absorptions are counted；
Sandstone thickness is longitudinally employed according to water injection well and sandstone thickness calculating water injection well is always penetrated out and penetrates out oil reservoir vertical producing degree：
The water injection intensity is calculated according to small thickness and the substratum water absorption：
8. seperated layer water injection effect analysis method according to claim 7, it is characterised in that tested according to the intake profile
Data and water injection intensity set up the accumulative Lorentz curve model for penetrating out relation between sandstone thickness and accumulative water absorption of description, bag
Include：
By in profile-log of water injection multiple water accepting layer penetrate out sandstone thickness and its water absorption by the water injection intensity from it is low to
Height is ranked up；
Lip river is defined according to the total suction ratio under the accumulative sandstone thickness ratio and the sandstone thickness ratio at weak water injection intensity end
Human relations hereby curvilinear function, the Lorentz curve function meets the necessary and sufficient condition of Lorentz curve：
L (0)=0, L (1)=1, L'(p) >=0, L " (p) >=0；
From Sarabia Lorentz curves Rate Based On The Extended Creep Model as fitting data point Lorentz curve model L (p)：
L (p)=pα[1-(1-pr)β]η
Wherein, p is the accumulative sandstone thickness ratio at weak water injection intensity end, and L (p) is the total suction ratio under the sandstone thickness ratio
Example, α, γ, β, η are Lorentz curve model parameter.
9. seperated layer water injection effect analysis method according to claim 8, it is characterised in that the seperated layer water injection effect analysis
Method also includes：The Lorentz curve model parameter is optimized using particle swarm optimization algorithm, to improve the long-range navigation
The hereby fitting degree of curve model and intake profile test data.
10. seperated layer water injection effect analysis method according to claim 9, it is characterised in that use particle swarm optimization algorithm
The Lorentz curve model parameter is optimized, to improve the Lorentz curve model with intake profile test data
Fitting degree, including：
With the solution of the positional representation of each particle parameter to be optimized；
The Lorentz curve model conversation that fitting will be needed is object function to be optimized, obtains corresponding fitness value to evaluate
The performance of each particle.
11. seperated layer water injection effect analysis methods according to claim 2, it is characterised in that belonged to according to characteristics of reservoirs, fluid
Property, the distribution of oil reservoir static parameter, original formation pressure or the relation of pressure and depth set up seperated layer water injection block numerical reservoir
Simulation model, including：
Reservoir model is set up according to characteristics of reservoirs and fluid properties, number will be formed after the reservoir model discretization
Value model；
Geological model is set up according to oil reservoir static parameter；
Relation, rock and fluid properties according to original formation pressure distribution or pressure and depth is to the numerical model and ground
Matter model is initialized, and generates seperated layer water injection block reservoir numerical simulation model.
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