CN104879103A - Layered water injection effect analysis method - Google Patents
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Abstract
The invention provides a layered water injection effect analysis method. The layered water injection effect analysis method includes the steps that data of a production well, an injection well and an oil deposit are obtained, and dynamic parameters and static parameters of the wells and the oil deposit are determined; the shooting oil layer longitudinal mobilization degree and the water injection strength of the water injection well are generated according to water absorption profile testing data in the dynamic parameters; a Lorentz curve model for describing the relationship between the accumulated shooting sandstone thickness and the accumulated water absorption amount is built according to the water absorption profile testing data and the water injection strength; the oil layer water absorption balance degree is calculated according to the Lorentz curve model so as to achieve layered water injection effect analysis. By means of the layered water injection effect analysis method, the proportion of the longitudinal mobilization sandstone thickness of the water injection well to the total shooting sandstone thickness and the water absorption balance condition of the shooting small-layer whole can be evaluated in a quantified mode; factors having influences on layered water injection are found in cooperation with the over-the-year actual measurement water injection profile, the stratum physical property, the sedimentary phase, the layered water injection tubular column structure and injection allocation data.
Description
Technical field
The present invention relates to oil gas field separate zone waterflooding technology, particularly relate to a kind of seperated layer water injection effect analysis method.
Background technology
Meticulous separate zone waterflooding technology becomes the main water drive of High water cut stage stratified reservoir just gradually and to tap the latent power one of well stimulation.For Daqing oil field, well longitudinal divisions number is generally adjusted to more than 4 sections and 4 sections, seperated layer water injection Real-Time Monitoring and control system are also more advanced, but the meticulous seperated layer water injection effect of different well is uneven, and because injection-production relation is complicated, the problems such as water suction change is various are also difficult to accurate evaluation, this cannot regulate water nozzle to ensure the dynamic qualification rate of seperated layer water injection according to the change of water filling qualification rate by causing, cannot judge which well should segment interval or adjustment segmental structure further, the segmented mode and the policy demarcation line that continue segmentation are also all difficult to choice, thus need badly and probe into a set of reliable meticulous seperated layer water injection effect assessment and Forecasting Methodology, and then from geology, engineering, the principal element affecting dispensing is found out in exploitation aspect, this is also the key utilizing meticulous separate zone waterflooding technology to improve waterflood recovery efficiency factor further.
For adopting the individual well of stratified injection water technology carry out effect assessment and predict mainly according to dynamic monitoring data comparative analysis qualitatively in prior art, as Pei Chenghe etc. evaluates for the seperated layer water injection effect of Chang-6 oil reservoir, mainly by the change of intake profile and the produce oil increment of surrounding oil well before and after the measure of contrast dispensing, the effect (Pei Chenghe of seperated layer water injection is described qualitatively, Chen Shoumin, Chen Junbin. the application of separate zone waterflooding technology in Chang-6 oil reservoir exploitation. Xi'an Petroleum University's journal (natural science edition), 2006,21 (2): 33-36.).The main Problems existing of above-mentioned evaluation method comprises: 1. existing individual well dispensing evaluation method can not accurate comparison for the effect of same water well segmentation adjustment front and back and the meticulous dispensing of different well.2. present stage waterflooding development high water cut oil field oil, well corresponding relation complicated, well stimulation is various, judges that the dispensing effect of concrete well is very difficult by oil well oil increment.
Summary of the invention
The invention provides a kind of seperated layer water injection effect analysis method, to realize, to taking the water injection well of stratified injection water technology injection effect and reservoir producing situation to evaluate, for the use stratified injection water technology of science provides foundation, improving recovery ratio.
To achieve these goals, the invention provides a kind of seperated layer water injection effect analysis method, described seperated layer water injection effect analysis method comprises:
Obtain producing well, Injection Well and Reservoir Data, determine dynamic parameter and the static parameter of each well and oil reservoir;
Oil reservoir vertical producing degree and water injection intensity is penetrated out according to the intake profile Test data generation water injection well in described dynamic parameter;
Set up according to described intake profile test data and water injection intensity and describe the accumulative Lorentz curve model penetrating out relation between sandstone thickness and accumulative water absorption;
Oil reservoir water suction balanced intensity is calculated, to realize seperated layer water injection effect analysis according to described Lorentz curve model.
In one embodiment, described seperated layer water injection effect analysis method also comprises:
Individual well assessment parameter figure is drawn according to the degree of porosity of well location coordinate, completion mode, perforating depth, well head, well depth, hole deviation, well track data, target zone position, permeability and dynamic parameter;
Then in conjunction with described individual well assessment parameter figure, determine according to described oil reservoir water suction balanced intensity, development degree, water injection intensity and individual well assessment parameter figure the influence factor comprising allocation process, sedimentary facies and permeability grade.
In one embodiment, described seperated layer water injection effect analysis method also comprises:
According to characteristics of reservoirs, fluid properties, oil reservoir static parameter, original formation pressure distributes or the relation of pressure and the degree of depth sets up seperated layer water injection block reservoir numerical simulation model;
Based on intake profile test data, history matching is carried out to described seperated layer water injection block reservoir numerical simulation model, generate and optimize seperated layer water injection block reservoir numerical simulation model.
In one embodiment, described seperated layer water injection effect analysis method also comprises:
According to the intake profile of the following meticulous seperated layer water injection of described optimization seperated layer water injection block reservoir numerical simulation model prediction.
In one embodiment, described seperated layer water injection effect analysis method also comprises: carry out seperated layer water injection effect assessment according to described Lorentz curve model and influence factor.
In one embodiment, described static parameter comprises: the well location coordinate of every mouthful of well, completion mode, perforating depth, well head, well depth, hole deviation and well track data, the structural configuration of oil reservoir target zone position, log analysis data, seismic interpretation data, layer data, the degree of porosity of target zone position, permeability, oil saturation and original formation pressure parameter, the high pressure property data of rock and fluid in stratum.
In one embodiment, described dynamic parameter comprises: individual well Production development data, intake profile test data, produce oil section plane test data, injection allocation data and tubular column structure data.
In one embodiment, penetrate out oil reservoir vertical producing degree and water injection intensity according to the intake profile Test data generation water injection well in described dynamic parameter, comprising:
According to history intake profile test data, the different production time substratum water absorption of statistics;
Longitudinally employ sandstone thickness according to water injection well and always penetrate out sandstone thickness calculating water injection well and penetrate out oil reservoir vertical producing degree:
Described water injection intensity is calculated according to small thickness and described substratum water absorption:
In one embodiment, set up according to described intake profile test data and water injection intensity and describe the accumulative Lorentz curve model penetrating out relation between sandstone thickness and accumulative water absorption, comprising:
By water accepting layer multiple in profile-log of water injection penetrate out sandstone thickness and water absorption sorts from low to high by described water injection intensity;
According to the total suction ratio definition Lorentz curve function under the accumulative sandstone thickness ratio of weak water injection intensity end and this sandstone thickness ratio, described Lorentz curve function meets the necessary and sufficient condition of Lorentz curve:
L(0)＝0,L(1)＝1,L'(p)≥0,L”(p)≥0；
Select the Rate Based On The Extended Creep Model of Sarabia Lorentz curve as Lorentz curve model L (p) of fitting data point:
L(p)＝p
α[1-(1-p
r)
β]
η
Wherein, α, γ, β, η are Lorentz curve model parameter.
In one embodiment, described seperated layer water injection effect analysis method also comprises: adopt particle swarm optimization algorithm to be optimized described Lorentz curve model parameter, to improve the fitting degree of described Lorentz curve model and intake profile test data.
In one embodiment, adopt particle swarm optimization algorithm to be optimized described Lorentz curve model parameter, to improve the fitting degree of described Lorentz curve model and intake profile test data, comprising:
With the solution of the positional representation of each particle parameter to be optimized;
By needing the Lorentz curve model conversation of matching to be object function to be optimized, obtain corresponding fitness value to evaluate the performance of each particle.
In one embodiment, according to characteristics of reservoirs, fluid properties, oil reservoir static parameter, original formation pressure distributes or the relation of pressure and the degree of depth sets up seperated layer water injection block reservoir numerical simulation model, comprising:
Set up reservoir model according to characteristics of reservoirs and fluid properties, form numerical model by after described reservoir model discretization;
Geological model is set up according to oil reservoir static parameter;
According to original formation pressure distribution or the relation of pressure and the degree of depth, rock and fluid properties, described numerical model and geological model are initialized, generation seperated layer water injection block reservoir numerical simulation model.
Embodiment of the present invention beneficial effect is, by the present invention, the evaluation water injection well of quantification longitudinally can employ sandstone thickness and accounts for the ratio of always penetrating out sandstone thickness, and respectively penetrate out the balanced situation of substratum water suction on the whole; The factor affecting seperated layer water injection can be found in conjunction with the actual measurement intake profile over the years of dispensing well, formation physical property, sedimentary facies, separate injection tubing string structure and injection allocation data; Carry out reservoir numerical simulation more accurately by the constraint of intake profile data, the effect of seperated layer water injection is effectively predicted.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be 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 is that the water injection well of the embodiment of the present invention penetrates out oil reservoir vertical producing degree and water injection intensity calculation flow chart;
Fig. 3 is the method flow diagram setting up 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 predicting following meticulous seperated layer water injection in the embodiment of the present invention;
Fig. 6 is the method flow diagram optimizing seperated layer water injection block reservoir numerical simulation model in the embodiment of the present invention;
Fig. 7 is seperated layer water injection effect assessment and the numerical Simulation Prediction method flow diagram of the embodiment of the present invention;
Fig. 8 is X6-3-134 well intake profile and the Permeability Distribution characteristic pattern of the embodiment of the present invention;
Fig. 9 is X6-2-26 well intake profile and the Permeability Distribution characteristic pattern of the embodiment of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
The invention provides a kind of seperated layer water injection effect analysis method, as shown in Figure 1, described seperated layer water injection effect analysis method comprises:
Step 101: obtain producing well, Injection Well and Reservoir Data, determine dynamic parameter and the static parameter of each well and oil reservoir;
Step 102: penetrate out oil reservoir vertical producing degree and water injection intensity according to the intake profile Test data generation water injection well in described dynamic parameter;
Step 103: set up according to described intake profile test data and water injection intensity and describe the accumulative Lorentz curve model penetrating out relation between sandstone thickness and accumulative water absorption;
Step 104: calculate oil reservoir water suction balanced intensity, to realize seperated layer water injection effect analysis according to described Lorentz curve model.
Flow process is as shown in Figure 1 known, the present invention sets up according to the dynamic parameter of producing well and water injection well or static parameter and describes the accumulative Lorentz curve model penetrating out relation between sandstone thickness and accumulative water absorption, then Lorentz curve model is solved, calculating oil reservoir water suction balanced intensity with this, can realizing evaluating taking the water injection well of stratified injection water technology to inject effect.
In one embodiment, static parameter comprises: the well location coordinate of every mouthful of well, completion mode, perforating depth, well head, well depth, hole deviation and well track data, the structural configuration (comprising: end face, bottom surface constructional drawing etc.) of oil reservoir target zone position, log analysis data, seismic interpretation data, layer data, the degree of porosity of target zone position, permeability, oil saturation and original formation pressure parameter, the high-voltage physics data (comprising: phase percolation curve, capillary pressure curve, PTV data etc.) of rock and fluid in stratum.
In one embodiment, dynamic parameter comprises: individual well Production development data (comprising: oil production, aquifer yield, gas production, gas-oil ratio, moisture content, oil pressure, casing pressure, flowing bottomhole pressure (FBHP), injection allocation amount etc.), intake profile test data, produce oil section plane test data, injection allocation data, tubular column structure data (comprising: packer location, water nozzle size etc.).
As shown in Figure 2, when step 102 is specifically implemented, can comprise the steps:
Step 201: according to history intake profile test data, the different production time substratum water absorption of statistics;
Step 202: longitudinally employ sandstone thickness according to water injection well and always penetrate out sandstone thickness calculating water injection well and penetrate out oil reservoir vertical producing degree:
Oil reservoir vertical producing degree penetrated out by above-mentioned water injection well is that longitudinally employ sandstone thickness accounts for the ratio of always penetrating out sandstone thickness to water injection well.
Step 203: calculate described water injection intensity according to small thickness and described substratum water absorption:
This water injection intensity is the water absorption that unit thickness penetrates out oil reservoir.
As shown in Figure 3, when step 103 is specifically implemented, can comprise the steps:
Step 301: by water accepting layer multiple in profile-log of water injection penetrate out sandstone thickness and water absorption sorts from low to high by described water injection intensity;
Step 302: according to the total suction ratio definition Lorentz curve function under the accumulative sandstone thickness ratio of weak water injection intensity end and this sandstone thickness ratio, described 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] of weak water injection intensity end, total suction ratio L (p) ∈ [0,1] under sandstone thickness ratio.
Step 303: select the Rate Based On The Extended Creep Model of Sarabia Lorentz curve as Lorentz curve model L (p) of fitting data point:
L(p)＝p
α[1-(1-p
r)
β]
η
Wherein, α, γ, β, η are Lorentz curve model parameter.
After step 103 establishes Lorentz curve model, also need the Lorentz curve model set up in solution procedure 103, particle swarm optimization algorithm is adopted to be optimized described Lorentz curve model parameter, to improve the fitting degree of described Lorentz curve model and intake profile test data.Particularly, with the solution of the positional representation of each particle parameter to be optimized in particle swarm optimization algorithm, time initial, stochastic generation one has the population of n particle, the dimension of each particle is d, represent the number of unknown number, therefore fitting problems can be converted into optimization problem, be object function to be optimized by needing the Lorentz curve model conversation of matching, obtain corresponding fitness value accordingly to evaluate the performance (fitness value needs to calculate successive ignition) of each particle, new particle rapidity and position is calculated after each iteration, preferably particle position is retained after contrasting with fitness value before, finally obtain globally optimal solution.
In one embodiment, as shown in Figure 4, after step 104, seperated layer water injection effect analysis method of the present invention also comprises:
Step 401: draw individual well assessment parameter figure according to the degree of porosity of well location coordinate, completion mode, perforating depth, well head, well depth, hole deviation, well track data, target zone position, permeability and dynamic parameter;
Step 402: in conjunction with described individual well assessment parameter figure, determines according to described oil reservoir water suction balanced intensity, development degree, water injection intensity and individual well assessment parameter figure the influence factor comprising allocation process, sedimentary facies and permeability grade;
Step 403: carry out seperated layer water injection effect assessment according to described Lorentz curve model and influence factor.
Flow process is as shown in Figure 4 known, the present invention sets up according to the dynamic parameter of producing well and water injection well or static parameter and describes the accumulative Lorentz curve model penetrating out relation between sandstone thickness and accumulative water absorption, then Lorentz curve model is solved, oil reservoir water suction balanced intensity is calculated with this, finally draw individual well assessment parameter figure, determining the influence factor comprising allocation process, sedimentary facies and permeability grade, can better realizing evaluating taking the water injection well of stratified injection water technology to inject effect.
Utilize dynamic parameter and the static parameter of the oil reservoir obtained in step 101, can predict the intake profile of following meticulous seperated layer water injection, as shown in Figure 5, concrete grammar comprises:
Step 501: according to characteristics of reservoirs, fluid properties, oil reservoir static parameter, original formation pressure distributes or the relation of pressure and the degree of depth sets up seperated layer water injection block reservoir numerical simulation model;
Step 502: carry out history matching to described seperated layer water injection block reservoir numerical simulation model based on intake profile test data, generates and optimizes seperated layer water injection block reservoir numerical simulation model;
Step 503: according to the intake profile of the following meticulous seperated layer water injection of described optimization seperated layer water injection block reservoir numerical simulation model prediction.
As shown in Figure 6, in one embodiment, step 502 comprises the steps:
Step 601: set up reservoir model (comprising oil gas water three phase percolation equationk, inner and outer boundary condition and constraints etc.) according to characteristics of reservoirs and fluid properties, numerical model will be formed after described reservoir model discretization;
Step 602: set up geological model according to oil reservoir static parameter;
Step 603: described numerical model and geological model are initialized according to original formation pressure distribution or the relation of pressure and the degree of depth, rock and fluid properties, generation seperated layer water injection block reservoir numerical simulation model.
When step 603 is specifically implemented, need to initialize two models according to original formation pressure distribution or the relation of pressure and the degree of depth, rock and fluid properties, generation seperated layer water injection block reservoir numerical simulation model.In addition, also need to arrange nonlinear analysis controling parameters: arrange computational accuracy, iterative number of times initializes and calculate data and (initialize the three-dimensional pressure of geological model and saturation field data and time data, then adopt decoupling zero fully implicit solution algorithm to carry out solving seperated layer water injection block reservoir numerical simulation model.
Seperated layer water injection effect analysis method shown in Fig. 1 to Fig. 6 can be summarized by Fig. 7, as shown in Figure 7, by producing well data and Injection Well data in left branch, set up and be divided into Evaluation of Affusion Effect method, carry out seperated layer water injection effect assessment according to Lorentz curve model and influence factor.Set up reservoir numerical simulation model by Reservoir Data in right branch, and utilize intake profile test data to retrain history matching, predict the intake profile of following meticulous seperated layer water injection.By the method shown in Fig. 7, finally achieve the prediction of the individual well of dispensing scheme being injected to effect and reservoir producing effect.Fig. 8 is X6-3-134 well intake profile and the Permeability Distribution characteristic pattern of the embodiment of the present invention, Fig. 9 is that the X6-2-26 well intake profile of the embodiment of the present invention and Permeability Distribution characteristic pattern are (in Fig. 8 and Fig. 9, the A section of the being intrinsic permeability coefficient of variation, the B section of being intrinsic permeability is differential, C is water absorption and the ratio of injection allocation amount), Fig. 8 and Fig. 9 shows intake profile and Permeability Distribution.
By the present invention, the evaluation water injection well of quantification longitudinally can employ sandstone thickness and account for the ratio of always penetrating out sandstone thickness, and respectively penetrate out the balanced situation of substratum water suction on the whole; The factor affecting seperated layer water injection can be found in conjunction with the actual measurement intake profile over the years of dispensing well, formation physical property, sedimentary facies, separate injection tubing string structure and injection allocation data; Carry out reservoir numerical simulation more accurately by the constraint of intake profile data, the effect of seperated layer water injection is effectively predicted.
Those skilled in the art should understand, embodiments of the invention can be provided as method, system or computer program.Therefore, the present invention can adopt the form of complete hardware embodiment, completely software implementation or the embodiment in conjunction with software and hardware aspect.And the present invention can adopt in one or more form wherein including the upper computer program implemented of computer-usable storage medium (including but not limited to magnetic disc store, CD-ROM, optical memory etc.) of computer usable program code.
The present invention describes with reference to according to the flow chart of the method for the embodiment of the present invention, equipment (system) and computer program and/or block diagram.Should understand can by the combination of the flow process in each flow process in computer program instructions realization flow figure and/or block diagram and/or square frame and flow chart and/or block diagram and/or square frame.These computer program instructions can being provided to the processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing device to produce a machine, making the instruction performed by the processor of computer or other programmable data processing device produce device for realizing the function of specifying in flow chart flow process or multiple flow process and/or block diagram square frame or multiple square frame.
These computer program instructions also can be stored in can in the computer-readable memory that works in a specific way of vectoring computer or other programmable data processing device, the instruction making to be stored in this computer-readable memory produces the manufacture comprising command device, and this command device realizes the function of specifying in flow chart flow process or multiple flow process and/or block diagram square frame or multiple square frame.
These computer program instructions also can be loaded in computer or other programmable data processing device, make on computer or other programmable devices, to perform sequence of operations step to produce computer implemented process, thus the instruction performed on computer or other programmable devices is provided for the step realizing the function of specifying in flow chart flow process or multiple flow process and/or block diagram square frame or multiple square frame.
Apply specific embodiment in the present invention to set forth principle of the present invention and embodiment, the explanation of above embodiment just understands method of the present invention and core concept thereof for helping; Meanwhile, for one of ordinary skill in the art, according to thought of the present invention, all will change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.
Claims (12)
1. a seperated layer water injection effect analysis method, is characterized in that, described seperated layer water injection effect analysis method comprises:
Obtain producing well, Injection Well and Reservoir Data, determine dynamic parameter and the static parameter of each well and oil reservoir;
Oil reservoir vertical producing degree and water injection intensity is penetrated out according to the intake profile Test data generation water injection well in described dynamic parameter;
Set up according to described intake profile test data and water injection intensity and describe the accumulative Lorentz curve model penetrating out relation between sandstone thickness and accumulative water absorption;
Oil reservoir water suction balanced intensity is calculated, to realize seperated layer water injection effect analysis according to described Lorentz curve model.
2. seperated layer water injection effect analysis method according to claim 1, is characterized in that, described seperated layer water injection effect analysis method also comprises:
Individual well assessment parameter figure is drawn according to the degree of porosity of well location coordinate, completion mode, perforating depth, well head, well depth, hole deviation, well track data, target zone position, permeability and dynamic parameter;
In conjunction with described individual well assessment parameter figure, determine according to described oil reservoir water suction balanced intensity, development degree, water injection intensity and individual well assessment parameter figure the influence factor comprising allocation process, sedimentary facies and permeability grade.
3. seperated layer water injection effect analysis method according to claim 2, is characterized in that, described seperated layer water injection effect analysis method also comprises:
According to characteristics of reservoirs, fluid properties, oil reservoir static parameter, original formation pressure distributes or the relation of pressure and the degree of depth sets up seperated layer water injection block reservoir numerical simulation model;
Based on intake profile test data, history matching is carried out to described seperated layer water injection block reservoir numerical simulation model, generate and optimize seperated layer water injection block reservoir numerical simulation model.
4. seperated layer water injection effect analysis method according to claim 3, is characterized in that, described seperated layer water injection effect analysis method also comprises:
According to the intake profile of the following meticulous seperated layer water injection of described optimization seperated layer water injection block reservoir numerical simulation model prediction.
5. seperated layer water injection effect analysis method according to claim 3, is characterized in that, described seperated layer water injection effect analysis method also comprises: carry out seperated layer water injection effect assessment according to described Lorentz curve model and influence factor.
6. the seperated layer water injection effect analysis method according to any one of claim 1-5, it is characterized in that, described static parameter comprises: the well location coordinate of every mouthful of well, completion mode, perforating depth, well head, well depth, hole deviation and well track data, the structural configuration of oil reservoir target zone position, log analysis data, seismic interpretation data, layer data, the degree of porosity of target zone position, permeability, oil saturation and original formation pressure parameter, the high pressure property data of rock and fluid in stratum.
7. the seperated layer water injection effect analysis method according to any one of claim 1-5, is characterized in that, described dynamic parameter comprises: individual well Production development data, intake profile test data, produce oil section plane test data, injection allocation data and tubular column structure data.
8. the seperated layer water injection effect analysis method according to any one of claim 1-5, is characterized in that, penetrates out oil reservoir vertical producing degree and water injection intensity, comprising according to the intake profile Test data generation water injection well in described dynamic parameter:
According to history intake profile test data, the different production time substratum water absorption of statistics;
Longitudinally employ sandstone thickness according to water injection well and always penetrate out sandstone thickness calculating water injection well and penetrate out oil reservoir vertical producing degree:
Described water injection intensity is calculated according to small thickness and described substratum water absorption:
9. seperated layer water injection effect analysis method according to claim 8, is characterized in that, sets up and describes the accumulative Lorentz curve model penetrating out relation between sandstone thickness and accumulative water absorption, comprising according to described intake profile test data and water injection intensity:
By water accepting layer multiple in profile-log of water injection penetrate out sandstone thickness and water absorption sorts from low to high by described water injection intensity;
According to the total suction ratio definition Lorentz curve function under the accumulative sandstone thickness ratio of weak water injection intensity end and this sandstone thickness ratio, described Lorentz curve function meets the necessary and sufficient condition of Lorentz curve:
L(0)＝0,L(1)＝1,L'(p)≥0,L”(p)≥0；
Select the Rate Based On The Extended Creep Model of Sarabia Lorentz curve as Lorentz curve model L (p) of fitting data point:
L(p)＝p
α[1-(1-p
r)
β]
η
Wherein, α, γ, β, η are Lorentz curve model parameter.
10. seperated layer water injection effect analysis method according to claim 9, it is characterized in that, described seperated layer water injection effect analysis method also comprises: adopt particle swarm optimization algorithm to be optimized described Lorentz curve model parameter, to improve the fitting degree of described Lorentz curve model and intake profile test data.
11. seperated layer water injection effect analysis method according to claim 10, it is characterized in that, adopt particle swarm optimization algorithm to be optimized described Lorentz curve model parameter, to improve the fitting degree of described Lorentz curve model and intake profile test data, comprising:
With the solution of the positional representation of each particle parameter to be optimized;
By needing the Lorentz curve model conversation of matching to be object function to be optimized, obtain corresponding fitness value to evaluate the performance of each particle.
12. seperated layer water injection effect analysis method according to claim 3, it is characterized in that, according to characteristics of reservoirs, fluid properties, oil reservoir static parameter, original formation pressure distributes or the relation of pressure and the degree of depth sets up seperated layer water injection block reservoir numerical simulation model, comprising:
Set up reservoir model according to characteristics of reservoirs and fluid properties, form numerical model by after described reservoir model discretization;
Geological model is set up according to oil reservoir static parameter;
According to original formation pressure distribution or the relation of pressure and the degree of depth, rock and fluid properties, described numerical model and geological model are initialized, generation seperated layer water injection block reservoir numerical simulation model.
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| CN112177607A (en) * | 2020-11-12 | 2021-01-05 | 中国石油大学(华东) | Method, device and equipment for evaluating regulating and controlling effect of separated layer water injection |
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| CN114837633A (en) * | 2022-05-07 | 2022-08-02 | 北京泰斯特威尔技术有限公司 | Intelligent layered injection-production oil reservoir excavation and submergence method and system |
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