CN114251075B - Reservoir exploitation scheme determination method, device and equipment based on multi-target parameters - Google Patents
Reservoir exploitation scheme determination method, device and equipment based on multi-target parameters Download PDFInfo
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
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- E21B43/00—Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
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- G06F2119/08—Thermal analysis or thermal optimisation
Abstract
The embodiment of the specification provides a reservoir exploitation scheme determination method, device and equipment based on multi-target parameters. The method comprises the following steps: calculating corresponding target parameter values by using at least one group of simulated construction parameter values based on reservoir geological parameters; respectively determining a parameter relation between each target parameter and the construction parameter by combining the simulated construction parameter value and the target parameter value; obtaining at least two candidate mining schemes through the parameter relational expression; the candidate mining scheme comprises candidate construction parameter values; candidate target parameter values corresponding to the candidate construction parameter values meet preset mining requirements; respectively obtaining the evaluation result of each candidate mining scheme according to the candidate target parameter values; and selecting a target mining scheme from the candidate mining schemes according to the evaluation result. According to the scheme, the influence among different target parameters is considered, and the acquired mining scheme can meet the requirement of actual production, so that the mining effect is improved.
Description
Technical Field
The embodiment of the specification relates to the technical field of geological exploration and development, in particular to a reservoir exploitation scheme determination method, device and equipment based on multi-target parameters.
Background
When a reservoir is developed, in order to ensure that the exploitation benefit is maximized and the exploitation process is controllable, the reservoir needs to be explored before exploitation to obtain geological parameters corresponding to the reservoir, and specific construction parameters are determined based on the geological parameters to realize efficient and controllable exploitation of the reservoir.
At present, when a mining scheme is determined, under the condition of combining actual geological parameters, construction parameters respectively corresponding to the optimal production conditions are often determined, and the construction parameters are integrated to be used as the actual mining scheme. However, in practical applications, there may be an impact between different construction parameters. The mining scheme obtained when various production conditions are considered to be optimal may have a great implementation difficulty, and in the process of practical application, the influence between parameters may affect the mining result, so that a good mining effect cannot be achieved. Therefore, a technical scheme for efficiently developing the reservoir under the condition of comprehensively considering production conditions is needed.
Disclosure of Invention
The embodiment of the specification aims to provide a method, a device and equipment for determining a reservoir exploitation scheme based on multiple target parameters, so as to solve the problem of how to efficiently develop a reservoir.
In order to solve the above technical problem, an embodiment of the present specification provides a method for determining a reservoir production scheme based on multiple objective parameters, including:
calculating corresponding target parameter values by using at least one group of simulated construction parameter values based on reservoir geological parameters; the target parameter values comprise values corresponding to at least two target parameters when mining is carried out based on the simulated construction parameter values;
respectively determining a parameter relation between each target parameter and the construction parameter by combining the simulated construction parameter value and the target parameter value;
obtaining at least two candidate mining schemes through the parameter relational expression; the candidate mining scheme comprises candidate construction parameter values; candidate target parameter values corresponding to the candidate construction parameter values meet preset mining requirements;
respectively obtaining the evaluation result of each candidate mining scheme according to the candidate target parameter values;
and selecting a target mining scheme from the candidate mining schemes according to the evaluation result.
The embodiment of the present specification further provides a device for determining a reservoir exploitation scheme based on multiple target parameters, including:
the target parameter value calculation module is used for calculating corresponding target parameter values by utilizing at least one group of simulated construction parameter values based on reservoir geological parameters; the target parameter value is used for representing the value of the corresponding target parameter when mining is carried out based on the simulated construction parameter value;
the parameter relation determining module is used for respectively determining a parameter relation between each target parameter and the construction parameter by combining the simulated construction parameter value and the target parameter value;
the candidate mining scheme acquisition module is used for acquiring at least two candidate mining schemes through the parameter relational expression; the candidate mining scheme comprises candidate construction parameter values; candidate target parameter values corresponding to the candidate construction parameter values meet preset mining requirements;
the evaluation result calculation module is used for calculating the evaluation result of each candidate mining scheme according to the candidate target parameter values;
and the target mining scheme selecting module is used for selecting a target mining scheme from the candidate mining schemes according to the evaluation result.
The embodiment of the specification further provides a reservoir exploitation scheme determining device based on the multi-target parameters, which comprises a memory and a processor; the memory to store computer program instructions; the processor to execute the computer program instructions to implement the steps of: calculating corresponding target parameter values by using at least one group of simulated construction parameter values based on reservoir geological parameters; the target parameter value is used for representing the value of the corresponding target parameter when mining is carried out based on the simulated construction parameter value; respectively determining a parameter relation between each target parameter and the construction parameter by combining the simulated construction parameter value and the target parameter value; obtaining at least two candidate mining schemes through the parameter relational expression; the candidate mining scheme comprises candidate construction parameter values; candidate target parameter values corresponding to the candidate construction parameter values meet preset mining requirements; respectively obtaining the evaluation result of each candidate mining scheme according to the candidate target parameter values; and selecting a target mining scheme from the candidate mining schemes according to the evaluation result.
As can be seen from the technical solutions provided by the embodiments of the present specification, in the embodiments of the present specification, first, on the basis of actual reservoir geological parameters, target parameter values corresponding to simulated construction parameter values are obtained, and then, a parameter relational expression between the target parameter values and the simulated construction parameter values is used, so that a plurality of candidate mining schemes can be obtained by using the parameter relational expression according to preset mining requirements. And on the basis of combining the target parameter values corresponding to the candidate mining schemes, the evaluation of the candidate mining schemes is completed, and further the optimal target mining scheme can be determined according to the evaluation result. By the method, on the premise of considering the actual application scene, different mining schemes are evaluated according to the effect obtained when the different mining schemes are applied, so that the mining scheme which best meets the actual application requirement can be selected according to the evaluation result, the mining effect is effectively improved, and the reservoir resources can be better obtained.
Drawings
In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the specification, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of a method for reservoir production scenario determination based on multi-objective parameters, in accordance with an embodiment of the present disclosure;
FIG. 2 is a block diagram of a multi-objective parameter based reservoir production scenario determination apparatus in accordance with an embodiment of the present disclosure;
fig. 3 is a block diagram of a reservoir production scenario determination apparatus based on multiple objective parameters, in accordance with an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present specification without any creative effort shall fall within the protection scope of the present specification.
In order to solve the technical problem, the embodiment of the specification provides a reservoir exploitation scheme determination method based on multiple target parameters. The execution subject of the multi-target parameter-based reservoir exploitation scheme determination method is multi-target parameter-based reservoir exploitation scheme determination equipment, and the multi-target parameter-based reservoir exploitation scheme determination equipment comprises, but is not limited to, a server, an industrial personal computer, a Personal Computer (PC) and the like. As shown in fig. 1, the method for determining a reservoir production scenario based on multiple objective parameters may specifically include the following steps.
S110: calculating corresponding target parameter values by using at least one group of simulated construction parameter values based on reservoir geological parameters; the target parameter values include values corresponding to at least two target parameters when mining is conducted based on the simulated construction parameter values.
The reservoir geological parameters may correspond to geological parameters corresponding to the reservoir, and may correspond to different specific geological parameters for different production environments, for example, when the oil and gas resources in the reservoir are produced, the reservoir geological parameters may be geological parameters such as porosity and permeability of the reservoir; when developing for geothermal resources in a reservoir, the reservoir geological parameters may be, for example, the physical properties of the geothermal reservoir acquired in actual exploration development, including reservoir temperature, reservoir pore structure, and the like. In practical application, the acquired reservoir geological parameters may be adjusted according to requirements of practical application, and are not limited to the above examples, and are not described herein again.
The simulated construction parameter values are parameter values used for simulating construction parameters in actual construction. In the actual production and construction process, some parameters are usually set by the constructor, that is, the simulation construction parameter values are used for determining a specific construction scheme. Specifically, the simulated construction parameters may include injection temperature, injection displacement, production pressure and the like. By changing the simulation construction parameter values, different target parameter values, namely, values corresponding to actual production effects can be obtained. The specific simulation construction parameters can be designed according to actual production work in actual application, and are not limited.
In some embodiments, a preset construction parameter range may be set first, so as to define a range corresponding to the selection of the simulation construction parameter value. And modifying and deriving different simulation construction parameter values through orthogonal test design or uniform design based on the preset construction parameter range to serve as the parameter values applied by the calculation.
The orthogonal test design selects the simulation construction parameter values which are uniformly distributed and have weak correlation as far as possible according to the characteristics of the selected number of the selected simulation construction parameter values, the preset construction parameter range, the orthogonality among different parameters and the like, so that the test effect as comprehensive as possible is obtained under the condition of utilizing the test data as little as possible.
The uniform design selects uniformly dispersed and neatly comparable simulation construction parameter values within a preset construction parameter range, so that the selected simulation construction parameter values have certain representativeness, and a better test effect can be obtained.
The target parameter value is a target parameter value corresponding to a construction effect expected to be obtained when construction is performed according to the simulated construction parameter value, and the target parameter value corresponding to the simulated construction parameter value can be obtained through calculation based on reservoir geological parameters, namely actual characteristics of a target reservoir. In particular, the target parameters may be, for example, net thermal power, reservoir flow resistance, temperature drop, water loss, and the like.
In some embodiments, the target parameter value may be obtained by obtaining an intermediate parameter in advance according to the simulated construction parameter value. For example, parameters such as production temperature, production displacement, injection pressure and the like are calculated according to the injection temperature, the injection displacement and the production pressure, parameters such as net thermal power, reservoir flow resistance, temperature drop, water loss and the like are further obtained by using the parameters, and the parameters are used as target parameters. The specific manner of obtaining the target parameter value may be adjusted according to the requirements of the practical application, which is not limited to this.
The target parameter values are described by using some specific examples, and in practical applications, the target parameters that are more commonly used may include net thermal power, temperature drop, reservoir flow resistance, water loss, and the like. The net thermal power can be expressed as N-c p,f Q out T out -c p,f Q in T in Where N is the net thermal power, c p,f Is the heat capacity of the fluid, Q out For production of discharge, T out To production temperature, Q in For injection of displacement, T in Is the implant temperature. The temperature drop can be expressed as TD ═ T out -T in Where TD is the temperature drop, T out To production temperature, T in Is the implant temperature. Reservoir flow resistance may be expressed as
Wherein R is reservoir flow resistance, p out To production pressure, p in For injection pressure, Q out For production capacity. Water loss can be expressed as
Wherein WL is water loss, Q in For injection of displacement, Q out For production capacity.
In some embodiments, an equation can be established based on the multi-field coupling correlation theory according to the reservoir geological parameters, and a flow thermal coupling model is established through COMSOL Multiphysics on the basis of the equation. The flow thermal coupling model can determine corresponding target parameter values according to different simulation construction parameter values. In practical application, when the calculated amount is large, the solution of each target parameter value can be completed by using numerical simulation software. The specific solving process can be implemented according to the requirements of practical application, and is not described herein.
Preferably, after the flow thermal coupling model is obtained, the flow thermal coupling model may be tested by using sample data, so as to determine the accuracy of the flow thermal coupling model in application. The practical application is carried out again under the condition that the flow thermal coupling model has higher accuracy. And adjusting the flow thermal coupling model under the condition of insufficient precision until the flow thermal coupling model meets the requirement, thereby ensuring the accuracy of the calculation result.
S120: and respectively determining a parameter relation between each target parameter and the construction parameter by combining the simulated construction parameter value and the target parameter value.
After the simulated construction parameter values and the target parameter values are obtained, a parameter relation between the target parameters and the simulated construction parameters can be determined according to the parameter values. The parameter relational expression is used for describing the relation between a certain target parameter and all other corresponding simulated construction parameters.
In some embodiments, the obtaining of the parameter relation may be performing univariate polynomial regression according to each simulated construction parameter and a parameter value corresponding to each target parameter value to obtain a single degree relation between the target parameter and each single simulated construction parameter. As shown in table 1 below, the target parameters are obtained when the net thermal power and the production flow are used as target parameters, and the obtained target parameters are the single order relational expression between the simulated construction parameters.
TABLE 1
After the single degree relational expression is obtained, performing multiple regression according to the degree relation between the target parameters and the simulated construction parameters to obtain a parameter relational expression between each target parameter and all the simulated construction parameters, namely the parameter relational expression is a parameter relational expression which is obtained by taking all the simulated construction parameters as independent variables and taking each target parameter as dependent variables and respectively corresponding to different target parameters.
In some embodiments, before determining the parameter relation, normalization processing may be performed on the simulated construction parameter value and the target parameter value, so as to avoid a larger error in the result caused by parameters of different units and ranges. The dimensionless parameters are obtained by normalizing the parameter values, so that the accuracy of the calculation result is ensured.
The specific method for normalizing the parameters can be to use a formula
Normalizing the parameters, wherein x kd For normalized parameter values, x kmax Is the maximum parameter value, x, of the corresponding parameter kmin Is the minimum parameter value, x, of the corresponding parameter k The parameter values to be normalized are obtained.
S130: obtaining at least two candidate mining schemes through the parameter relational expression; the candidate mining scheme comprises candidate construction parameter values; and the candidate target parameter value corresponding to the candidate construction parameter value meets the preset mining requirement.
After the parameter relational expression is obtained, the incidence relation between the construction parameters and the target parameters is determined, the corresponding target parameters under different construction parameters can be determined based on the incidence relation, and the mining scheme with the target parameters meeting the actual application requirements is selected as the candidate mining scheme.
The candidate mining scheme is a scheme that the target parameters determined according to the parameter relation can meet the preset mining requirement. Under the condition of a plurality of acquired candidate mining schemes, the candidate mining schemes can meet the preset mining requirements. However, since the mining schemes are influenced by a plurality of construction parameters and the corresponding target parameters have a large number, a scheme most meeting the actual application requirements still needs to be selected from the candidate mining schemes.
In some embodiments, an initial parameter set may first be determined based on the parameter relationships, the initial parameter set including initial construction parameter values and initial target parameter values. For example, 200 parameters in the initial parameter set may be set. And processing the initial parameter set by using an NSGA-II algorithm.
The NSGA-II algorithm is a multi-target genetic algorithm, and is mainly characterized in that a plurality of generations of genetic individuals are generated by selecting, crossing and mutating parameter values, individuals corresponding to better parameters are selected from the genetic individuals for iterative computation, and the iterative operation is repeated until a certain number of iterations are completed or an expected effect is obtained, so that a plurality of parameter sets are obtained. The parameter values included in these parameter sets are the values of the parameters corresponding to the actual solution.
Specifically, in the embodiment, the maximum iteration number may be 500, the pareto solution set element may be 40, and the maximum iteration error may be 10 -5 . And processing the parameter values by using the NSGA-II algorithm to obtain a pareto solution set containing a plurality of parameters.
Since the parameters need to be converted into dimensionless parameters when they are processed by the NSGA-II algorithm, i.e. the obtained pareto solution set contains such parameters. Therefore, the parameters without the pareto solution set can be subjected to factorization, namely a plurality of parameter sets are obtained, each parameter set is the parameter value of the corresponding construction parameter, and each parameter set forms a candidate mining scheme. Correspondingly, the corresponding candidate target parameter value can also be determined according to the candidate construction parameter value in the candidate mining scheme.
In some embodiments, after determining the parameter relation, a decision parameter may be selected from the target parameters, and a corresponding candidate mining scenario may be obtained through the parameter relation corresponding to the decision parameter. The decision parameters can be selected based on the requirements of actual production development. When the target parameters are too many, some of the parameters may not be the parameters to be considered preferentially in actual production development, and if the parameters are used for calculation, not only extra time and resources are consumed, but also experimental results may be affected. Specifically, for example, the net thermal power and the flow resistance can be selected as decision parameters, and the corresponding calculation is performed based on the net thermal power and the flow resistance.
S140: and respectively obtaining the evaluation result of each candidate mining scheme according to the candidate target parameter values.
The evaluation result may be a result obtained by evaluating the candidate mining scenario according to the candidate mining scenario itself and the corresponding condition of the actual production demand. And selecting a corresponding target mining scheme from the candidate mining schemes visually according to the evaluation result.
In some embodiments, the evaluation result of each candidate mining scheme may be obtained by first calculating an information entropy corresponding to the candidate target parameter value, and determining an objective weight of the candidate target parameter according to the information entropy. The objective weight is a weight value for objectively measuring the effect of each candidate mining scheme itself.
And then, determining the subjective weight of the candidate target parameter by using an analytic hierarchy process or self-assignment of an operator. The subjective weight is a weight value set in consideration of actual production requirements and mining conditions, and is used for measuring the effect of the candidate mining scheme corresponding to the external application conditions.
After the objective weight and the subjective weight are obtained, the evaluation result of each candidate mining scheme can be determined by combining the candidate target parameter value corresponding to each candidate mining scheme.
Specifically, a decision matrix may be constructed according to candidate target parameter values corresponding to each candidate mining scheme. The decision matrix comprises parameter values in different schemes. For example, the decision matrix may be
Wherein V is a decision matrix, V ij The value of the jth target parameter for the ith candidate mining scenario, wherein 1 < i < m, 1 < j < n, m being the number of candidate mining scenarios and n being the number of target parameters.
And calculating a combination weight W by using the acquired subjective weight alpha and objective weight beta. Specifically, canTo use the formula W ═ W 1 ,w 2 ,…w j ,…,w n ]Calculating, wherein W is the combined weight,
α j is the jth subjective weight, β j Is the jth objective weight.
The decision matrix is modified by using the combination weight, specifically, a formula is used
And correcting, wherein V' is a decision matrix after correction, W is combination weight, and V is a decision matrix.
In order to eliminate the size influence among variables in the matrix, the modified decision matrix can be standardized to obtain a target decision matrix. Specifically, a formula can be utilized
Standardized, wherein x' ij As normalized parameter, x ij Is the parameter of the ith row and the jth column in the matrix V.
By using the objective decision matrix, corresponding positive and negative ideal solutions can be solved. The positive ideal solution represents the solution with the best mining effect, and the negative ideal solution represents the solution with the worst mining effect. In particular, a formula may be utilized
Solving a positive ideal solution by using a formula
Solving for a negative ideal solution, wherein J + As a benefit index, J - Is a cost index.
After the positive ideal solution and the negative ideal solution are obtained, the euclidean distances between each candidate mining scheme and the positive ideal solution and the negative ideal solution can be respectively calculated. The closer to the positive ideal solution and the farther from the negative ideal solution are candidatesThe better the mining effect of the mining scheme. In particular, a formula may be utilized
Calculating the distance between the candidate mining scheme i and the positive ideal solution by using a formula
And calculating the distance between the candidate mining scheme i and the negative ideal solution.
After the distance between the candidate mining scheme and the positive ideal solution and the negative ideal solution is obtained, the evaluation result of the candidate mining scheme can be obtained by synthesizing the distance. Specifically, a formula can be utilized
Calculating the evaluation result of the candidate mining scheme, wherein C is the evaluation result, S i + Is the distance between the candidate mining scenario i and the positive ideal solution, S i - Is the distance of the candidate mining scenario i from the negative ideal solution.
S150: and selecting a target mining scheme from the candidate mining schemes according to the evaluation result.
The target mining scheme is obtained by integrating the indexes under the conditions that influence relations among different target parameters are considered and the scheme can be normally implemented in the actual production process.
After the evaluation results corresponding to different candidate mining schemes are obtained, the best target mining scheme can be selected from the candidate mining schemes according to the evaluation results. Specifically, in the case where the evaluation result is the evaluation value acquired based on the embodiment in step S140, the candidate mining scenario corresponding to the highest evaluation value may be selected as the target mining scenario.
Using a specific example for illustration, as shown in table 2 below, it can be seen that the basic solution is only for achieving the basic mining requirement, but is not optimized in terms of mining efficiency and mining difficulty, as a comparison between the basic solution, the midpoint solution and the ideal solution. The mid-point scheme optimizes the target scheme, so that the heat production performance is more balanced, but the mid-point scheme cannot be well realized in practical application, and the ideal solution scheme can integrate the exploitation benefit and the exploitation difficulty, so that a better exploitation effect is obtained.
TABLE 2
Based on the embodiment of the reservoir exploitation scheme determination method, it can be seen that the method firstly obtains a target parameter value corresponding to a simulated construction parameter value on the basis of an actual reservoir geological parameter, and then obtains a plurality of candidate exploitation schemes by using a parameter relation between the target parameter value and the simulated construction parameter value according to a preset exploitation requirement. And on the basis of combining the target parameter values corresponding to the candidate mining schemes, the evaluation of the candidate mining schemes is completed, and further the optimal target mining scheme can be determined according to the evaluation result. By the method, on the premise of considering the actual application scene, different mining schemes are evaluated according to the effect obtained when the different mining schemes are applied, so that the mining scheme which best meets the actual application requirement can be selected according to the evaluation result, the mining effect is effectively improved, and the efficient development of reservoir resources is realized.
Based on the method for determining the reservoir exploitation scheme based on the multi-target parameters, the description also provides an embodiment of a device for determining the reservoir exploitation scheme based on the multi-target parameters. As shown in fig. 2, the multi-objective parameter-based reservoir production scenario determination apparatus specifically includes the following modules.
A target parameter value calculation module 210, configured to calculate, based on the reservoir geological parameters, a corresponding target parameter value using at least one set of simulated construction parameter values; the target parameter value is used for representing the value of the corresponding target parameter when mining is carried out based on the simulated construction parameter value;
a parameter relation determining module 220, configured to determine a parameter relation between each target parameter and the construction parameter respectively by combining the simulated construction parameter value and the target parameter value;
a candidate mining scheme obtaining module 230, configured to obtain at least two candidate mining schemes through the parameter relation; the candidate mining scheme comprises candidate construction parameter values; candidate target parameter values corresponding to the candidate construction parameter values meet preset mining requirements;
an evaluation result calculation module 240, configured to calculate, according to the candidate target parameter values, the evaluation results of the candidate mining schemes respectively;
and the target mining scheme selecting module 250 is used for selecting a target mining scheme from the candidate mining schemes according to the evaluation result.
Based on the reservoir exploitation scheme determination method, the embodiment of the specification further provides a reservoir exploitation scheme determination device based on the multi-target parameter. As shown in fig. 3, the multi-objective parameter based reservoir production scenario determination apparatus includes a memory and a processor.
In this embodiment, the memory may be implemented in any suitable manner. For example, the memory may be a read-only memory, a mechanical hard disk, a solid state disk, a U disk, or the like. The memory may be used to store computer program instructions.
In this embodiment, the processor may be implemented in any suitable manner. For example, the processor may take the form of, for example, a microprocessor or processor and a computer-readable medium that stores computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, an embedded microcontroller, and so forth. The processor may execute the computer program instructions to perform the steps of: calculating corresponding target parameter values by using at least one group of simulated construction parameter values based on the reservoir geological parameters; the target parameter value is used for representing the value of the corresponding target parameter when mining is carried out based on the simulated construction parameter value; respectively determining a parameter relation between each target parameter and the construction parameter by combining the simulated construction parameter value and the target parameter value; obtaining at least two candidate mining schemes through the parameter relational expression; the candidate mining scheme comprises candidate construction parameter values; candidate target parameter values corresponding to the candidate construction parameter values meet preset mining requirements; respectively obtaining the evaluation result of each candidate mining scheme according to the candidate target parameter values; and selecting a target mining scheme from the candidate mining schemes according to the evaluation result.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
From the above description of the embodiments, it is clear to those skilled in the art that the present specification can be implemented by software plus a necessary general hardware platform. Based on such understanding, the technical solutions of the present specification may be essentially or partially implemented in the form of software products, which may be stored in a storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and include instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments of the present specification.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the system embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and reference may be made to the partial description of the method embodiment for relevant points.
The description is operational with numerous general purpose or special purpose computing system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet-type devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
This description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
While the specification has been described with examples, those skilled in the art will appreciate that there are numerous variations and permutations of the specification that do not depart from the spirit of the specification, and it is intended that the appended claims include such variations and modifications that do not depart from the spirit of the specification.
Claims (6)
1. A reservoir exploitation scheme determination method based on multi-target parameters is characterized by comprising the following steps:
calculating corresponding target parameter values by using at least one group of simulated construction parameter values based on reservoir geological parameters; the target parameter values comprise values corresponding to at least two target parameters when mining is carried out based on the simulated construction parameter values; the simulated construction parameters comprise at least one of injection temperature, injection displacement and production pressure; the target parameters include at least two of net thermal power, reservoir flow resistance, temperature drop, and water loss; the calculating of the corresponding target parameter values by using at least one group of simulated construction parameter values based on the reservoir geological parameters comprises: establishing a flow thermal coupling model based on reservoir geological parameters and a multi-field coupling correlation theory; inputting the simulated construction parameter values into the flow thermal coupling model to obtain corresponding target parameter values;
respectively determining a parameter relation between each target parameter and the construction parameter by combining the simulated construction parameter value and the target parameter value; and respectively determining a parameter relation between each target parameter and the construction parameter by combining the simulated construction parameter value and the target parameter value, wherein the parameter relation comprises the following steps: carrying out univariate regression on the simulated construction parameter values and the target parameter values to respectively obtain single-time relational expressions between each target parameter and each simulated construction parameter value; performing multiple regression on the single degree relational expression to respectively obtain a parameter relational expression between each target parameter and all simulated construction parameters;
selecting a strategy parameter from the target parameters;
obtaining at least two candidate mining schemes through the parameter relational expression; the candidate mining scheme comprises candidate construction parameter values; candidate target parameter values corresponding to the candidate construction parameter values meet preset mining requirements; the obtaining of at least two candidate mining scenarios via the parameter relationship includes: obtaining at least two candidate mining schemes according to the parameter relation corresponding to the decision-making parameter; the obtaining of at least two candidate mining scenarios via the parameter relationship includes: determining an initial set of parameters based on the parameter relationships; the initial parameter set comprises an initial construction parameter value and an initial target parameter value; processing the initial parameter set by using an NSGA-II algorithm to obtain a candidate mining scheme set; the set of candidate mining solutions comprises at least two candidate mining solutions;
respectively obtaining the evaluation result of each candidate mining scheme according to the candidate target parameter values; the respectively obtaining the evaluation result of each candidate mining scheme according to the candidate target parameter values comprises the following steps: calculating information entropy corresponding to the candidate target parameter values; determining objective weight of candidate target parameters according to the information entropy; determining subjective weight of the candidate target parameters by using an analytic hierarchy process; determining the evaluation result of each candidate mining scheme by combining the candidate target parameter value corresponding to each candidate mining scheme according to the objective weight and the subjective weight;
and selecting a target mining scheme from the candidate mining schemes according to the evaluation result.
2. The method of claim 1, wherein prior to calculating the corresponding target parameter values using at least one set of simulated construction parameter values based on the reservoir geological parameters, further comprising:
and acquiring at least one group of simulated construction parameter values through orthogonal test design and/or uniform design based on the preset construction parameter range.
3. The method of claim 1, wherein prior to determining the parameter relationships between the respective target parameters and the construction parameters in combination with the simulated construction parameter values and the target parameter values, respectively, further comprising:
carrying out normalization processing on the simulated construction parameter values and the target parameter values;
correspondingly, the determining the parameter relation between each target parameter and the construction parameter by combining the simulated construction parameter value and the target parameter value respectively comprises:
and respectively determining a parameter relation between each target parameter and the simulated construction parameter by combining the simulated construction parameter value and the target parameter value after the normalization processing.
4. The method of claim 1, wherein determining the evaluation of each candidate mining scenario in combination with the candidate target parameter values for each candidate mining scenario based on the objective and subjective weights comprises:
constructing a decision matrix according to candidate target parameter values corresponding to each candidate mining scheme;
correcting the decision matrix by using the objective weight and the subjective weight;
standardizing the corrected decision matrix to obtain a target decision matrix;
solving for a positive ideal solution and a negative ideal solution corresponding to the objective decision matrix; the positive ideal solution represents the scheme with the best mining effect, and the negative ideal solution represents the scheme with the worst mining effect;
an evaluation result for each candidate mining scenario is determined based on a distance between each candidate mining scenario and the positive ideal solution and/or the negative ideal solution.
5. A multi-objective parameter based reservoir mining scenario determination apparatus, comprising:
the target parameter value calculation module is used for calculating corresponding target parameter values by utilizing at least one group of simulated construction parameter values based on reservoir geological parameters; the target parameter value is used for representing the value of the corresponding target parameter when mining is carried out based on the simulated construction parameter value; the simulated construction parameters comprise at least one of injection temperature, injection displacement and production pressure; the target parameters include at least two of net thermal power, reservoir flow resistance, temperature drop, and water loss; the calculating of the corresponding target parameter values by using at least one group of simulated construction parameter values based on the reservoir geological parameters comprises: establishing a flow thermal coupling model based on reservoir geological parameters and a multi-field coupling correlation theory; inputting the simulated construction parameter values into the flow thermal coupling model to obtain corresponding target parameter values;
the parameter relation determining module is used for respectively determining a parameter relation between each target parameter and the construction parameter by combining the simulated construction parameter value and the target parameter value; and respectively determining a parameter relation between each target parameter and the construction parameter by combining the simulated construction parameter value and the target parameter value, wherein the parameter relation comprises the following steps: carrying out univariate regression on the simulated construction parameter values and the target parameter values to respectively obtain single-time relational expressions between each target parameter and each simulated construction parameter value; performing multiple regression on the single degree relational expression to respectively obtain a parameter relational expression between each target parameter and all simulated construction parameters;
a decision parameter selection module for selecting a decision parameter from the target parameters;
the candidate mining scheme acquisition module is used for acquiring at least two candidate mining schemes through the parameter relational expression; the candidate mining scheme comprises candidate construction parameter values; candidate target parameter values corresponding to the candidate construction parameter values meet preset mining requirements; the obtaining of at least two candidate mining solutions through the parameter relation includes: obtaining at least two candidate mining schemes according to the parameter relation corresponding to the decision-making parameter; the obtaining of at least two candidate mining solutions through the parameter relation includes: determining an initial parameter set based on the parameter relation; the initial parameter set comprises initial construction parameter values and initial target parameter values; processing the initial parameter set by using an NSGA-II algorithm to obtain a candidate mining scheme set; the candidate mining scenario set comprises at least two candidate mining scenarios;
the evaluation result calculation module is used for calculating the evaluation result of each candidate mining scheme according to the candidate target parameter values; the respectively obtaining the evaluation result of each candidate mining scheme according to the candidate target parameter values comprises the following steps: calculating information entropy corresponding to the candidate target parameter values; determining objective weight of candidate target parameters according to the information entropy; determining subjective weight of the candidate target parameters by using an analytic hierarchy process; determining the evaluation result of each candidate mining scheme by combining the candidate target parameter value corresponding to each candidate mining scheme according to the objective weight and the subjective weight;
and the target mining scheme selecting module is used for selecting a target mining scheme from the candidate mining schemes according to the evaluation result.
6. A multi-objective parameter based reservoir production scenario determination apparatus comprising a memory and a processor;
the memory to store computer program instructions;
the processor to execute the computer program instructions to implement the steps of: calculating corresponding target parameter values by using at least one group of simulated construction parameter values based on reservoir geological parameters; the target parameter value is used for representing the value of the corresponding target parameter when mining is carried out based on the simulated construction parameter value; the simulated construction parameters comprise at least one of injection temperature, injection displacement and production pressure; the target parameters include at least two of net thermal power, reservoir flow resistance, temperature drop, and water loss; the calculating of the corresponding target parameter values by using at least one group of simulated construction parameter values based on the reservoir geological parameters comprises: establishing a flow thermal coupling model based on reservoir geological parameters and a multi-field coupling correlation theory; inputting the simulated construction parameter values into the flow thermal coupling model to obtain corresponding target parameter values; respectively determining a parameter relation between each target parameter and the construction parameter by combining the simulated construction parameter value and the target parameter value; and respectively determining a parameter relation between each target parameter and the construction parameter by combining the simulated construction parameter value and the target parameter value, wherein the parameter relation comprises the following steps: carrying out univariate regression on the simulated construction parameter values and the target parameter values to respectively obtain single-time relational expressions between each target parameter and each simulated construction parameter value; performing multiple regression on the single degree relational expression to respectively obtain a parameter relational expression between each target parameter and all simulated construction parameters; selecting a strategy parameter from the target parameters; obtaining at least two candidate mining schemes through the parameter relational expression; the candidate mining scheme comprises candidate construction parameter values; candidate target parameter values corresponding to the candidate construction parameter values meet preset mining requirements; the obtaining of at least two candidate mining scenarios via the parameter relationship includes: obtaining at least two candidate mining schemes according to the parameter relation corresponding to the decision-making parameter; the obtaining of at least two candidate mining scenarios via the parameter relationship includes: determining an initial set of parameters based on the parameter relationships; the initial parameter set comprises initial construction parameter values and initial target parameter values; processing the initial parameter set by using an NSGA-II algorithm to obtain a candidate mining scheme set; the set of candidate mining solutions comprises at least two candidate mining solutions; respectively obtaining the evaluation result of each candidate mining scheme according to the candidate target parameter values; the respectively obtaining the evaluation results of the candidate mining schemes according to the candidate target parameter values comprises the following steps: calculating information entropy corresponding to the candidate target parameter values; determining objective weight of candidate target parameters according to the information entropy; determining subjective weight of the candidate target parameters by using an analytic hierarchy process; determining the evaluation result of each candidate mining scheme by combining the candidate target parameter value corresponding to each candidate mining scheme according to the objective weight and the subjective weight; and selecting a target mining scheme from the candidate mining schemes according to the evaluation result.
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