CN115234206A - Method and device for determining ignition time of oil reservoir, storage medium and computer equipment - Google Patents
Method and device for determining ignition time of oil reservoir, storage medium and computer equipment Download PDFInfo
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- CN115234206A CN115234206A CN202210542968.1A CN202210542968A CN115234206A CN 115234206 A CN115234206 A CN 115234206A CN 202210542968 A CN202210542968 A CN 202210542968A CN 115234206 A CN115234206 A CN 115234206A
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B43/00—Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
- E21B43/16—Enhanced recovery methods for obtaining hydrocarbons
- E21B43/24—Enhanced recovery methods for obtaining hydrocarbons using heat, e.g. steam injection
- E21B43/243—Combustion in situ
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B2200/00—Special features related to earth drilling for obtaining oil, gas or water
- E21B2200/20—Computer models or simulations, e.g. for reservoirs under production, drill bits
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A10/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE at coastal zones; at river basins
- Y02A10/40—Controlling or monitoring, e.g. of flood or hurricane; Forecasting, e.g. risk assessment or mapping
Abstract
The application discloses a method and a device for determining ignition time of an oil reservoir, a storage medium and computer equipment. The method comprises the following steps: acquiring simulation parameter data of at least one oil reservoir parameter index and ignition time corresponding to the simulation parameter data; fitting the simulation parameter data of each oil reservoir parameter index and the ignition time corresponding to the simulation parameter data of each oil reservoir parameter index to determine a variable function between each oil reservoir parameter index and the ignition time; processing a variable function between each oil deposit parameter index and the ignition time through a multiple linear regression algorithm, and determining a target function between at least one oil deposit parameter index and the ignition time; and inputting the target oil deposit parameter data into the target function, and determining the ignition time corresponding to the target oil deposit parameter data. Therefore, the influence of the oil reservoir parameters on the ignition time is fully considered, the predicted ignition time can be more fit with the ignition time required by an actual oil layer, and the ignition success rate is improved.
Description
Technical Field
The application relates to the technical field of oil exploitation, in particular to a method and a device for determining ignition time of an oil reservoir, a storage medium and computer equipment.
Background
In-situ oil combustion is a development mode with heat generation, green and low cost. The oil saturation of the near-wellbore region of the oil reservoir is low, and particularly the ignition parameter design difficulty is large for the developed oil reservoir with the permeability lower than 1000 mD. If the ignition is carried out for a long time, a shaft is easy to deform under the action of high temperature, and the economical efficiency is low; if the ignition time is short, the ignition success rate is low, so that the oil saturation of a near wellbore zone is further reduced, and the subsequent ignition difficulty is increased. The existing ignition time is mainly calculated by adopting a chemical reaction rate model based on an Arrhenius equation, and the obtained theoretical ignition time has a larger difference with the ignition time required by actual oil reservoir parameters.
Disclosure of Invention
In view of this, the present application provides a method, an apparatus, a storage medium, and a computer device for determining an ignition time of an oil reservoir, which can determine the ignition time by fully considering oil reservoir parameters, and reduce an ignition time prediction error.
According to one aspect of the present application, there is provided a method of determining a reservoir ignition time, comprising:
acquiring simulation parameter data of at least one oil reservoir parameter index and ignition time corresponding to the simulation parameter data;
fitting the simulation parameter data of each oil deposit parameter index and the ignition time corresponding to the simulation parameter data of each oil deposit parameter index to determine a variable function between each oil deposit parameter index and the ignition time;
processing a variable function between each oil deposit parameter index and the ignition time through a multiple linear regression algorithm, and determining a target function between at least one oil deposit parameter index and the ignition time;
and inputting the target oil deposit parameter data into the target function, and determining the ignition time corresponding to the target oil deposit parameter data.
Optionally, after determining the objective function between the at least one reservoir parameter indicator and the ignition time, the method for determining the reservoir ignition time further comprises:
acquiring historical parameter data of each oil reservoir parameter index and ignition time corresponding to the historical parameter data; and correcting the objective function according to the historical parameter data and the ignition time corresponding to the historical parameter data.
Optionally, acquiring simulation parameter data of at least one oil reservoir parameter index and ignition time corresponding to the simulation parameter data specifically includes:
determining at least one reservoir parameter indicator; randomly configuring different simulation parameter data according to at least one oil reservoir parameter index; and carrying out simulated core ignition processing according to the simulated parameter data, and recording the ignition time corresponding to the simulated parameter data.
Optionally, after determining the ignition time corresponding to the simulation parameter data, the method for determining the reservoir ignition time further includes:
and carrying out exception removal processing on the ignition time corresponding to the simulation parameter data.
Optionally, the processing a variable function between each reservoir parameter index and the ignition time by using a multiple linear regression algorithm to determine an objective function between at least one reservoir parameter index and the ignition time specifically includes:
determining an influence parameter of each oil reservoir parameter index according to the simulation parameter data of each oil reservoir parameter index and a variable function between each oil reservoir parameter index and ignition time; and processing the influence parameters of at least one oil reservoir parameter index through a multiple linear regression algorithm to obtain a target function.
Optionally, fitting the simulation parameter data of each reservoir parameter index and the ignition time corresponding to the simulation parameter data of each reservoir parameter index specifically includes:
and fitting the simulation parameter data of each oil reservoir parameter index and the ignition time corresponding to the simulation parameter data of each oil reservoir parameter index under the constraint of a preset fitting degree, wherein the preset fitting degree is more than 0.95.
Alternatively, the reservoir parameter indices include permeability, porosity, gas injection pressure, ignition temperature, and oil saturation.
Optionally, the simulation parameter data range of the permeability is 50-500 mD; the simulation parameter data range of the porosity is 10-25%; the simulation parameter data range of the gas injection pressure is 2 MPa-20 MPa; the range of the simulation parameter data of the ignition temperature is 250-500 ℃; the range of the simulation parameter data of the oil saturation is 30-60%.
According to another aspect of the present application, there is provided a device for determining an ignition timing of a reservoir, comprising:
the acquisition module is used for acquiring simulation parameter data of at least one oil reservoir parameter index and ignition time corresponding to the simulation parameter data;
the fitting module is used for fitting the simulation parameter data of each oil reservoir parameter index and the ignition time corresponding to the simulation parameter data of each oil reservoir parameter index to determine a variable function between each oil reservoir parameter index and the ignition time;
the analysis module is used for processing a variable function between each oil deposit parameter index and the ignition time through a multiple linear regression algorithm and determining a target function between at least one oil deposit parameter index and the ignition time;
and the first determining module is used for substituting the target oil deposit parameter data into the target function and determining the ignition time corresponding to the target oil deposit parameter data.
Optionally, the obtaining module is further configured to obtain historical parameter data of each oil reservoir parameter index and ignition time corresponding to the historical parameter data;
the device for determining the ignition time of the oil reservoir further comprises:
and the correction module is used for correcting the target function according to the historical parameter data and the ignition time corresponding to the historical parameter data.
Optionally, the obtaining module specifically includes:
a second determination module for determining at least one reservoir parameter indicator;
the configuration module is used for randomly configuring different simulation parameter data according to at least one oil reservoir parameter index;
and the simulation experiment module is used for performing simulation core ignition processing according to the simulation parameter data and recording the ignition time corresponding to the simulation parameter data.
Optionally, the obtaining module specifically further includes:
and the exception handling module is used for carrying out exception removal processing on the ignition time corresponding to the analog parameter data.
Optionally, the fitting module is specifically configured to perform fitting processing on the simulation parameter data of each reservoir parameter index and the ignition time corresponding to the simulation parameter data of each reservoir parameter index under a preset fitting degree constraint, where the preset fitting degree is greater than 0.95.
Optionally, the analysis module is specifically configured to determine an influence parameter of each reservoir parameter index according to the simulation parameter data of each reservoir parameter index and a variable function between each reservoir parameter index and the ignition time; and processing the influence parameters of at least one oil reservoir parameter index through a multiple linear regression algorithm to obtain a target function.
Alternatively, the reservoir parameter indices include permeability, porosity, gas injection pressure, ignition temperature, and oil saturation.
Optionally, the simulation parameter data range of the permeability is 50-500 mD; the simulation parameter data range of the porosity is 10-25%; the simulation parameter data range of the gas injection pressure is 2 MPa-20 MPa; the range of the simulation parameter data of the ignition temperature is 250-500 ℃; the range of the simulation parameter data of the oil saturation is 30-60%.
According to yet another aspect of the present application, a readable storage medium is provided, on which a program or instructions are stored, which when executed by a processor, implement the steps of the above method for determining a reservoir ignition time.
According to yet another aspect of the present application, a computer device is provided, which comprises a storage medium, a processor and a computer program stored on the storage medium and executable on the processor, wherein the processor executes the computer program to implement the steps of the method for determining the ignition time of a reservoir.
By means of the technical scheme, multiple groups of simulation parameter data of at least one oil reservoir parameter index and ignition time corresponding to the multiple groups of simulation parameter data are obtained through simulation experiments, and a variable function between each oil reservoir parameter index and the ignition time is fitted according to the multiple groups of simulation parameter data. And reflecting the influence degree of each oil reservoir parameter index on the ignition time through a variable function. And integrating the variable function between each oil deposit parameter index and the ignition time by using a wire linear regression algorithm to generate a relation function (target function) between all the oil deposit parameter indexes and the ignition time. And finally, substituting required target oil deposit parameter data into the target function to predict the required ignition time under the actual working condition. Thereby fully consider the influence of oil reservoir parameter to ignition time, found the objective function between different oil reservoir parameter index and the ignition time, make the ignition time who predicts through the objective function can laminate the required ignition time of actual oil reservoir more, and then at the in-process that needs ignite to the oil reservoir, ignite to the oil reservoir according to the ignition time who determines, can make the oil reservoir reach the ignition heat that can make the oil reservoir of treating the ignition stable combustion, the technological effect of improving the success rate of igniting has been realized, and the technical problem that there is low oily saturation oil reservoir to ignite to be difficult to succeed in having solved in-situ combustion technique, the recovery of viscous crude or thin oil has been guaranteed.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 shows one of the flow diagrams of a method for determining a reservoir ignition time according to an embodiment of the present application;
FIG. 2 is a second schematic flow chart illustrating a method for determining the ignition timing of a reservoir according to an embodiment of the present disclosure;
fig. 3 is a schematic diagram showing the structure of a device for determining the ignition timing of a reservoir according to an embodiment of the present application.
Detailed Description
The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
Reference will now be made in detail to the embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary only for explaining the present application and are not construed as limiting the present application.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "connected" as used herein may include wirelessly connected or wirelessly attached. As used herein, the term "and/or" includes all or any element and all combinations of one or more of the associated listed items.
Exemplary embodiments according to the present application will now be described in more detail with reference to the accompanying drawings. These exemplary embodiments may, however, be embodied in many different forms and should not be construed as limited to only the embodiments set forth herein. It should be understood that these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of these exemplary embodiments to those of ordinary skill in the art.
In this embodiment, a method for determining the ignition time of a reservoir is provided, as shown in fig. 1, the method comprising:
step 101, acquiring simulation parameter data of at least one oil reservoir parameter index and ignition time corresponding to the simulation parameter data;
specifically, the oil reservoir parameter index may be an influence factor that may influence the ignition time of the oil reservoir, and the oil reservoir parameter index includes permeability, porosity, gas injection pressure, ignition temperature, and oil saturation.
In this embodiment, multiple sets of simulation parameter data of at least one reservoir parameter index and ignition time corresponding to the multiple sets of simulation parameter data are obtained through simulation or physical experiment, so that the simulation parameter data and the corresponding ignition time can count the influence of each reservoir parameter index on the ignition time.
Specifically, step 101, acquiring simulation parameter data of at least one oil reservoir parameter index and ignition time corresponding to the simulation parameter data, specifically includes:
step 101-1, determining at least one oil reservoir parameter index;
in this embodiment, the reservoir parameter indicators to be analyzed are determined first, and at least one reservoir parameter indicator may be set by a user, or at least one reservoir parameter indicator may be obtained by dynamically matching the working condition of the reservoir selected by the user with the corresponding relationship between the preset working condition of the reservoir and the reservoir parameter indicators.
Step 101-2, randomly configuring different simulation parameter data according to at least one oil reservoir parameter index;
in this embodiment, after the oil reservoir parameter index is determined, the numerical value of the oil reservoir parameter index is randomly selected according to the specified simulation parameter data range, and the numerical value of at least one oil reservoir parameter index is used as a set of simulation parameter data. Therefore, different working conditions are simulated by using different simulation parameter data, and reliable data support is provided for analyzing the influence of oil reservoir parameter indexes on ignition time.
And 101-3, performing simulated core ignition processing according to the simulated parameter data, and recording ignition time corresponding to the simulated parameter data.
In this embodiment, a one-dimensional simulation experiment for core ignition is performed according to a plurality of sets of configured different simulation parameter data under the condition of the determined simulation parameter data, and the ignition time required by any set of simulation parameter data is recorded under the condition that the core ignition is successful and the combustion can be continued under any set of simulation parameter data. Therefore, multiple groups of simulation parameter data of at least one oil reservoir parameter index and ignition time corresponding to the multiple groups of simulation parameter data are obtained through simulation or entity experiments, and the influence of each oil reservoir parameter index on the ignition time is conveniently counted by the simulation parameter data and the corresponding ignition time.
In an actual application scene, the simulation parameter data range of the permeability is 50-500 mD in consideration of actual working conditions. The porosity simulation parameter data range is 10% -25%. The simulation parameter data range of the gas injection pressure is 2 MPa-20 MPa. The range of the simulation parameter data of the ignition temperature is 250-500 ℃. The range of the simulation parameter data of the oil saturation is 30-60%. For example, as shown in table 1, the reservoir parameter index includes permeability, porosity, pressure, ignition temperature and oil saturation, and 21 sets of simulation parameter data are randomly generated, wherein the permeability, gas injection pressure, ignition temperature and oil saturation in the 1 st to 3 rd sets of simulation parameter data are unchanged, the porosity is configured to be 15%, 20% and 25%, respectively, and the influence of the porosity on the ignition time can be analyzed through the simulation parameter data of the 1 st to 3 rd sets; similarly, the porosity, the gas injection pressure, the ignition temperature and the oil saturation in the simulation parameter data of the 4 th to 7 th groups are unchanged, and the permeability is respectively configured to be 500mD, 400mD, 300mD and 200mD, so as to analyze the influence of the permeability on the ignition time.
TABLE 1
It should be noted that after the step of determining the ignition time corresponding to the simulation parameter data, the method for determining the ignition time of the reservoir further includes: and carrying out exception removal processing on the ignition time corresponding to the simulation parameter data. Therefore, part of data which do not conform to the data change rule is screened out through exception removal processing, the accuracy of a subsequent analysis variable function is further guaranteed, and accurate prediction of required ignition time is facilitated. For example, as the porosity increases, the ignition time should show an increasing trend, and if as the porosity increases, a simulated ignition time is reduced compared with the ignition time obtained by the previous group of simulation parameter data, it can be determined that the ignition time is abnormal, at this time, the ignition time is deleted, or the simulation experiment is performed again by using the corresponding simulation parameter data until the simulated ignition time meets the change rule.
102, fitting the simulation parameter data of each oil reservoir parameter index and the ignition time corresponding to the simulation parameter data of each oil reservoir parameter index, and determining a variable function between each oil reservoir parameter index and the ignition time;
in this embodiment, the relationship between the simulated parameter data for each reservoir parameter indicator and the ignition time corresponding to the simulated parameter data for each reservoir parameter indicator is determined by a fitting process and at least one variable function of the ignition time as a function of the reservoir parameter indicator is established. The variable function reflects the influence of each oil reservoir parameter index on the ignition time, so that the influence of the oil reservoir parameters on the ignition time is fully considered, and the ignition time predicted by the objective function can be more suitable for the ignition time required by an actual oil layer.
It should be noted that, fitting processing may be performed by using a CMG numerical simulation (Computer modeling Group ltd.) software, where the CMG numerical simulation software may be used to simulate the migration and physicochemical processes of oil, gas, and water in the ground under various complex geological conditions, and the error of the fitting result between the CMG ignition time and the experimental ignition time is within 5%.
Specifically, step 102, performing fitting processing on the simulation parameter data of each reservoir parameter index and the ignition time corresponding to the simulation parameter data of each reservoir parameter index specifically includes:
and 102-1, fitting the simulation parameter data of each oil reservoir parameter index and the ignition time corresponding to the simulation parameter data of each oil reservoir parameter index under the constraint of preset fitting degree.
Wherein the predetermined degree of fit is greater than 0.95.
In the embodiment, in the fitting process, the preset fitting degree is used as a constraint condition to perform data fitting on the ignition time and the simulation parameter data, so that the determined variable function can be checked by using the preset fitting degree, and the coincidence degree of the prediction result of the variable function and the actual occurrence condition is compared. On the one hand, the automatic control of fitting processing is realized, the fitting efficiency is improved, on the other hand, the variable function obtained after fitting can be ensured to better accord with the change relation between the oil deposit parameter index and the ignition time, and the prediction accuracy of the ignition time is favorably improved.
Specifically, the fitting degree test method may be a residual sum of squares test, a chi-square (c 2) test, a linear regression test, or the like, and the embodiment of the present application is not particularly limited.
For example, the simulation parameter data and the ignition time indicated in table 1 are input into CMG numerical simulation software based on reservoir simulation, and the variable function between each reservoir parameter index and the ignition time is obtained by referring to the fitting experiment result through phase state fitting of the CMG numerical simulation softwareAnd (4) counting. The expression of the variable function is: y = a × X b + c, wherein Y represents ignition time, X represents oil reservoir parameter index, a, b and c represent influence factor weight of the oil reservoir parameter index, and values of a, b and c obtained after fitting may be different for different oil reservoir parameter indexes.
Specifically, based on the CMG fitting results of table 1, we find:
(1) The variable function of permeability k is Y =11631X -0.909 A predetermined degree of fitting R 2 ＝0.9995；
(2) Porosity of
The variable function of (1) is Y =1.6X +0.5, and the preset fitting degree R 2 ＝1；
(3) The variable function of injection pressure P is Y =95.505X -0.741 A predetermined degree of fitting R 2 ＝0.9789；
(4) Ignition temperature T ig Is Y =1319.6X -0.627 Predetermined degree of fitting R 2 ＝0.9986；
(5) Oil saturation S o Has a variable function of Y = -0.0675X 2 +5.575X-69.5, predetermined degree of fit R 2 ＝1。
103, processing a variable function between each oil deposit parameter index and the ignition time through a multiple linear regression algorithm, and determining a target function between at least one oil deposit parameter index and the ignition time;
in this embodiment, in the case where a plurality of reservoir parameter indices are provided, it is considered that the difference in ignition time is often a result of the cooperation of the plurality of reservoir parameter indices. And fitting variable functions between all oil reservoir parameter indexes and the ignition time through a multiple linear regression algorithm to construct a final objective function. Therefore, the relation between a plurality of oil deposit parameter indexes and the ignition time can be obtained by utilizing the target function, so that the ignition time required by target oil deposit parameter data can be accurately and quickly determined, and the ignition success rate of an in-situ combustion layer is further improved.
It will be appreciated that the multiple linear regression process may be omitted if only one reservoir parameter index needs to be analyzed.
Specifically, step 103, processing the variable function between each reservoir parameter index and the ignition time through a multiple linear regression algorithm, and determining an objective function between at least one reservoir parameter index and the ignition time specifically includes:
103-1, determining an influence parameter of each oil deposit parameter index according to the simulation parameter data of each oil deposit parameter index and a variable function between each oil deposit parameter index and ignition time;
and 103-2, processing the influence parameters of at least one oil reservoir parameter index through a multiple linear regression algorithm to obtain a target function.
In this embodiment, the simulation parameter data configured when the variable function is constructed is substituted into the corresponding variable function again except for the influence factor weight to calculate the influence parameter of each reservoir parameter index. And fitting the influence parameters of all the oil reservoir parameter indexes through a multiple linear regression algorithm to generate a final multiple objective function.
The expression of the objective function is: y = d + a 1 ×X 1 b1 +a 2 ×X 2 b2 +……+a n ×X n bn Wherein Y represents ignition time, X 1 ～X n Representing n different reservoir parameter indices, a 1 ～a n 、b 1 ～b n And d represents an influence factor weight.
Taking permeability as an example, the influence parameters are recalculated according to the simulation parameter data of the 4 th to 7 th groups reflecting permeability change and the variable function of permeability k except the influence factor weight in the table 1, namely the influence parameter Z = X -0.909 The resulting influencing parameters are shown in table 2.
TABLE 2
After calculating the influence parameters of all oil reservoir parameter indexes, performing multivariate linear regression to obtain a target function as follows:
Y＝-192.26+1.58X 1 +11738.01X 2 -0909 +108.79X 3 -0804 +81.66X 4 -0.627 -0.067X 5 2 +5.53X 5 wherein Y represents ignition time, X 1 Denotes porosity, X 2 Denotes permeability, X 3 Denotes the injection pressure, X 4 Indicating the ignition temperature, X 5 Representing degree of saturation of oil, predetermined degree of fit R of objective function 2 ＝0.9972。
And 104, inputting the target oil deposit parameter data into the target function, and determining the ignition time corresponding to the target oil deposit parameter data.
The target reservoir parameter data is reservoir parameter data of an oil layer requiring ignition time prediction.
In the above embodiment, multiple sets of simulation parameter data of at least one reservoir parameter index and ignition time corresponding to the multiple sets of simulation parameter data are obtained through simulation experiments, and a variable function between each reservoir parameter index and the ignition time is fitted based on the multiple sets of simulation parameter data. And reflecting the influence degree of each oil reservoir parameter index on the ignition time through a variable function. And integrating the variable function between each oil deposit parameter index and the ignition time by using a wire linear regression algorithm to generate a relation function (target function) between all the oil deposit parameter indexes and the ignition time. And finally, substituting required target oil deposit parameter data into the target function to predict the required ignition time under the actual working condition. Thereby fully consider the influence of oil reservoir parameter to ignition time, the objective function between different oil reservoir parameter index and the ignition time is found, make the ignition time of predicting through the objective function can laminate the required ignition time of actual oil reservoir more, and then in-process of igniteing to the oil reservoir at needs, ignite to the oil reservoir according to the ignition time who determines, can make the oil reservoir reach the ignition heat that can make the oil reservoir of treating ignition stable combustion, the technological effect of improving the success rate of igniting has been realized, and the technical problem that there is low oily saturation oil reservoir ignition to be difficult to succeed in having solved in-situ combustion technique, the recovery rate of viscous crude or thin oil has been guaranteed.
Further, as shown in FIG. 2, after determining 104 an objective function between at least one reservoir parameter indicator and the ignition time, the method for determining the reservoir ignition time further comprises:
105, acquiring historical parameter data of each oil reservoir parameter index and ignition time corresponding to the historical parameter data;
and 106, correcting the objective function according to the historical parameter data and the ignition time corresponding to the historical parameter data.
In the embodiment, in order to further improve the prediction accuracy of the objective function, the objective function is corrected through the historical parameter data generated on site and the ignition time corresponding to the historical parameter data, that is, the influence factor weight of each oil reservoir parameter index in the objective function is updated, so that the prediction error of the ignition time is further reduced, the ignition time calculated through the objective function is more suitable for the actual working condition, and the success rate and the safety of ignition of an oil reservoir are improved.
For example, the target function (Y = -192.26+ 1.58X) 1 +11738.01X 2 -0909 +
108.79X 3 -0804 +81.66X 4 -0.627 -0.067X 5 2 +5.53X 5 ) For example, the objective function is modified using the on-site ignition timing. The modified objective function is then:
Y＝-14.8349+0.1219X 1 +905.7106X 2 -0909 +8.3943X 3 -0804 +6.3009X 4 -0.627 -0.0052
X 5 2 +0.4267X 5 。
further, as shown in fig. 3, as a specific implementation of the method for determining the ignition time of the oil reservoir, an embodiment of the present application provides an apparatus 200 for determining the ignition time of the oil reservoir, where the apparatus 200 for determining the ignition time of the oil reservoir includes: an acquisition module 201, a fitting module 202, an analysis module 203, and a first determination module 204.
The acquisition module 201 is configured to acquire simulation parameter data of at least one oil reservoir parameter index and ignition time corresponding to the simulation parameter data; the fitting module 202 is configured to perform fitting processing on the simulation parameter data of each reservoir parameter index and the ignition time corresponding to the simulation parameter data of each reservoir parameter index, and determine a variable function between each reservoir parameter index and the ignition time; the analysis module 203 is used for processing a variable function between each oil reservoir parameter index and the ignition time through a multiple linear regression algorithm, and determining a target function between at least one oil reservoir parameter index and the ignition time; the first determining module 204 is configured to substitute the target reservoir parameter data into the objective function to determine an ignition time corresponding to the target reservoir parameter data.
In this embodiment, a plurality of sets of simulation parameter data of at least one reservoir parameter index and ignition time corresponding to the plurality of sets of simulation parameter data are obtained through simulation experiments, and a variable function between each reservoir parameter index and the ignition time is fitted based on the sets of simulation parameter data. And reflecting the influence degree of each oil reservoir parameter index on the ignition time through a variable function. And integrating the variable function between each oil deposit parameter index and the ignition time by using a wire linear regression algorithm to generate a relation function (target function) between all the oil deposit parameter indexes and the ignition time. And finally, substituting required target oil deposit parameter data into the target function to predict the required ignition time under the actual working condition. Thereby fully consider the influence of oil reservoir parameter to ignition time, the objective function between different oil reservoir parameter index and the ignition time is found, make the ignition time of predicting through the objective function can laminate the required ignition time of actual oil reservoir more, and then in-process of igniteing to the oil reservoir at needs, ignite to the oil reservoir according to the ignition time who determines, can make the oil reservoir reach the ignition heat that can make the oil reservoir of treating ignition stable combustion, the technological effect of improving the success rate of igniting has been realized, and the technical problem that there is low oily saturation oil reservoir ignition to be difficult to succeed in having solved in-situ combustion technique, the recovery rate of viscous crude or thin oil has been guaranteed.
Further, the obtaining module 201 is further configured to obtain historical parameter data of each oil reservoir parameter index and an ignition time corresponding to the historical parameter data; the device 200 for determining the ignition time of the oil reservoir further comprises: and a correction module (not shown in the figure) for correcting the objective function according to the historical parameter data and the ignition time corresponding to the historical parameter data.
Further, the obtaining module 201 specifically includes: a second determination module (not shown) for determining at least one reservoir parameter indicator; a configuration module (not shown in the figure) for randomly configuring different simulation parameter data according to at least one oil reservoir parameter index; and the simulation experiment module (not shown in the figure) is used for carrying out simulation core ignition processing according to the simulation parameter data and recording the ignition time corresponding to the simulation parameter data.
Further, the obtaining module 201 specifically further includes: and an exception handling module (not shown in the figure) for performing exception removal processing on the ignition time corresponding to the simulation parameter data.
Further, the fitting module 202 is specifically configured to perform fitting processing on the simulation parameter data of each reservoir parameter index and the ignition time corresponding to the simulation parameter data of each reservoir parameter index under a preset fitting degree constraint, where the preset fitting degree is greater than 0.95.
Further, the analysis module 203 is specifically configured to determine an influence parameter of each oil reservoir parameter index according to the simulation parameter data of each oil reservoir parameter index and a variable function between each oil reservoir parameter index and the ignition time; and processing the influence parameters of at least one oil reservoir parameter index through a multiple linear regression algorithm to obtain a target function.
Further, the reservoir parameter indices include permeability, porosity, pressure, firing temperature, and oil saturation.
Furthermore, the simulation parameter data range of the permeability is 50 mD-500 mD; the porosity simulation parameter data range is 10-25%; the simulation parameter data range of the gas injection pressure is 2 MPa-20 MPa; the range of the simulation parameter data of the ignition temperature is 250-500 ℃; the range of the simulation parameter data of the oil saturation is 30-60%.
The specific definition of the device for determining the ignition time of the oil reservoir can be referred to the definition of the method for determining the ignition time of the oil reservoir in the foregoing, and the detailed description is omitted here. The modules in the device for determining the ignition time of the oil reservoir can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
Based on the above-mentioned methods shown in fig. 1 and fig. 2, correspondingly, the present application further provides a readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the above-mentioned method for determining the ignition time of the reservoir shown in fig. 1 and fig. 2.
Based on such understanding, the technical solution of the present application may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.), and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the implementation scenarios of the present application.
Based on the foregoing methods shown in fig. 1 and fig. 2 and the virtual device embodiment shown in fig. 3, in order to achieve the foregoing object, an embodiment of the present application further provides a computer device, which may specifically be a personal computer, a server, a network device, and the like, where the computer device includes a storage medium and a processor; a storage medium for storing a computer program; a processor for executing a computer program to implement the method for determining the ignition timing of a reservoir as described above with reference to fig. 1 and 2.
Optionally, the computer device may also include a user interface, a network interface, a camera, radio Frequency (RF) circuitry, sensors, audio circuitry, a WI-FI module, and so forth. The user interface may include a Display screen (Display), an input unit such as a keypad (Keyboard), etc., and the optional user interface may also include a USB interface, a card reader interface, etc. The network interface may optionally include a standard wired interface, a wireless interface (e.g., a bluetooth interface, WI-FI interface), etc.
It will be appreciated by those skilled in the art that the present embodiment provides a computer device structure that is not limited to the computer device, and may include more or less components, or some components in combination, or a different arrangement of components.
The storage medium may further include an operating system and a network communication module. An operating system is a program that manages and maintains the hardware and software resources of a computer device, supporting the operation of information handling programs, as well as other software and/or programs. The network communication module is used for realizing communication among components in the storage medium and other hardware and software in the entity device.
Through the description of the above embodiments, those skilled in the art can clearly understand that the present application can be implemented by software plus a necessary general hardware platform, and can also obtain simulation parameter data of at least one oil reservoir parameter index and ignition time corresponding to the simulation parameter data through hardware; fitting the simulation parameter data of each oil deposit parameter index and the ignition time corresponding to the simulation parameter data of each oil deposit parameter index to determine a variable function between each oil deposit parameter index and the ignition time; processing a variable function between each oil deposit parameter index and the ignition time through a multiple linear regression algorithm, and determining a target function between at least one oil deposit parameter index and the ignition time; and inputting the target oil deposit parameter data into the target function, and determining the ignition time corresponding to the target oil deposit parameter data. The embodiment of the application fully considers the influence of oil reservoir parameters on ignition time, construct the objective function between different oil reservoir parameter index and the ignition time, make the ignition time predicted through the objective function can laminate the required ignition time of actual oil reservoir more, and then in-process of igniteing to the oil reservoir in needs, ignite the oil reservoir according to the ignition time who determines, can make the oil reservoir reach the ignition heat that can make the oil reservoir of treating to ignite the stable burning, the technical effect of improving the success rate of igniting has been realized, and the technical problem that the ignition of the oil reservoir of low oil saturation degree is difficult to succeed in the oil burning in situ technique has been solved, the recovery rate of viscous crude or thin oil has been guaranteed.
Those skilled in the art will appreciate that the figures are merely schematic representations of one preferred implementation scenario and that the blocks or flow diagrams in the figures are not necessarily required to practice the present application. Those skilled in the art will appreciate that the modules in the devices in the implementation scenario may be distributed in the devices in the implementation scenario according to the description of the implementation scenario, or may be located in one or more devices different from the present implementation scenario with corresponding changes. The modules of the implementation scenario may be combined into one module, or may be further split into multiple sub-modules.
The above application serial number is merely for description and does not represent the superiority and inferiority of the implementation scenario. The above disclosure is only a few specific implementation scenarios of the present application, but the present application is not limited thereto, and any variations that can be made by those skilled in the art are intended to fall within the scope of the present application.
Claims (10)
1. A method for determining an ignition time of a reservoir, the method comprising:
acquiring simulation parameter data of at least one oil reservoir parameter index and ignition time corresponding to the simulation parameter data;
fitting the simulation parameter data of each oil reservoir parameter index and the ignition time corresponding to the simulation parameter data of each oil reservoir parameter index to determine a variable function between each oil reservoir parameter index and the ignition time;
processing the variable function between each oil deposit parameter index and the ignition time through a multiple linear regression algorithm, and determining a target function between at least one oil deposit parameter index and the ignition time;
and inputting target oil deposit parameter data into the target function, and determining the ignition time corresponding to the target oil deposit parameter data.
2. The method of determining a reservoir ignition time of claim 1, wherein after determining the objective function between at least one reservoir parameter indicator and the ignition time, the method further comprises:
acquiring historical parameter data of each oil reservoir parameter index and ignition time corresponding to the historical parameter data;
and correcting the objective function according to the historical parameter data and the ignition time corresponding to the historical parameter data.
3. The method for determining the ignition time of the oil reservoir according to claim 1, wherein the obtaining of the simulation parameter data of at least one oil reservoir parameter index and the ignition time corresponding to the simulation parameter data specifically comprises:
determining the at least one reservoir parameter indicator;
randomly configuring different simulation parameter data according to the at least one oil reservoir parameter index;
and performing simulated core ignition processing according to the simulated parameter data, and recording ignition time corresponding to the simulated parameter data.
4. The method of determining an ignition time of a reservoir according to claim 3, wherein after determining the ignition time corresponding to the simulation parameter data, the method further comprises:
and carrying out exception removal processing on the ignition time corresponding to the simulation parameter data.
5. The method for determining the ignition time of the oil reservoir according to claim 1, wherein the fitting process is performed on the simulation parameter data of each oil reservoir parameter index and the ignition time corresponding to the simulation parameter data of each oil reservoir parameter index, and specifically comprises:
fitting the simulation parameter data of each oil reservoir parameter index and the ignition time corresponding to the simulation parameter data of each oil reservoir parameter index under the constraint of preset fitting degree,
wherein the preset fitness is greater than 0.95.
6. The method for determining ignition time of a reservoir according to claim 1, wherein the step of processing the variable function between each reservoir parameter indicator and ignition time by a multiple linear regression algorithm to determine an objective function between at least one reservoir parameter indicator and ignition time comprises:
determining an influence parameter of each oil deposit parameter index according to the simulation parameter data of each oil deposit parameter index and a variable function between each oil deposit parameter index and ignition time;
and processing the influence parameters of the at least one oil reservoir parameter index through the element linear regression algorithm to obtain the objective function.
7. The method of determining an ignition time of a reservoir according to any one of claims 1 to 6,
the oil reservoir parameter indexes comprise permeability, porosity, gas injection pressure, ignition temperature and oil saturation;
the simulation parameter data range of the permeability is 50 mD-500 mD;
the porosity simulation parameter data range is 10% -25%;
the simulation parameter data range of the gas injection pressure is 2 MPa-20 MPa;
the simulation parameter data range of the ignition temperature is 250-500 ℃;
the simulation parameter data range of the oil saturation is 30-60%.
8. An apparatus for reservoir ignition timing, the apparatus comprising:
the acquisition module is used for acquiring simulation parameter data of at least one oil reservoir parameter index and ignition time corresponding to the simulation parameter data;
the fitting module is used for fitting the simulation parameter data of each oil reservoir parameter index and the ignition time corresponding to the simulation parameter data of each oil reservoir parameter index to determine a variable function between each oil reservoir parameter index and the ignition time;
the analysis module is used for processing a variable function between each oil deposit parameter index and the ignition time through a multiple linear regression algorithm, and at least one target function between the oil deposit parameter index and the ignition time;
and the first determining module is used for inputting target reservoir parameter data into the target function and determining the ignition time corresponding to the target reservoir parameter data.
9. A readable storage medium having stored thereon a program or instructions, which when executed by a processor, carries out the steps of the method of determining a reservoir ignition time according to any one of claims 1 to 7.
10. A computer device comprising a storage medium, a processor and a computer program stored on the storage medium and executable on the processor, wherein the processor when executing the program implements the method of determining a reservoir ignition time according to any one of claims 1 to 7.
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