CN112127877B - Method, device, equipment and storage medium for predicting dynamic reserve of oil well - Google Patents

Method, device, equipment and storage medium for predicting dynamic reserve of oil well Download PDF

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CN112127877B
CN112127877B CN201910489994.0A CN201910489994A CN112127877B CN 112127877 B CN112127877 B CN 112127877B CN 201910489994 A CN201910489994 A CN 201910489994A CN 112127877 B CN112127877 B CN 112127877B
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晏楠
杨文明
陈利新
尹怀润
李洪
罗慎超
牛阁
苏东坡
王霞
段云江
李红波
钟楚红
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Abstract

The embodiment of the application provides a method, a device, equipment and a storage medium for predicting dynamic reserves of an oil well, wherein the method comprises the following steps: determining the gas-oil ratio corresponding to the oil well data in the predicted time period according to the historical oil well data; determining a second cumulative mixed oil yield of the oil well after gas injection in a predicted time period based on a first functional relationship and a gas-oil ratio corresponding to oil well data in the predicted time period; and determining the dynamic reserve of the oil well in the predicted time period according to the second accumulated mixed oil production. The method provided by the embodiment of the application can solve the problems that the prediction analysis of the dynamic reserves of the oil well cannot be accurately and effectively performed in real time in the prior art, and time and resources are wasted.

Description

Method, device, equipment and storage medium for predicting dynamic reserve of oil well
Technical Field
The embodiment of the application relates to the technical field of oilfield oil extraction engineering, in particular to a method, a device, equipment and a storage medium for predicting dynamic reserves of an oil well.
Background
Along with the gradual acceleration of the development process of the carbonate oil well, a large amount of residual oil is buried at the bottom of the well due to the rapid pushing of bottom water, and an effective technical means must be found to excavate the residual oil, so that the recovery ratio is improved. In the dynamic analysis of oil reservoirs and the potential work of residual oil, the estimation of the dynamic reserves of the oil wells is a research key point, is a critical problem in the middle and later stages of oil field development, is an important premise for the formulation and adjustment of an oil field development scheme, and directly relates to the economic benefit of oil fields.
The prediction or determination of the dynamic reserve of the oil well is mainly obtained by a static volume method, a well test data analysis method or a numerical simulation analysis method, wherein the static volume method is directly calculated according to geological static data such as oil-bearing area, average porosity, average effective thickness, average oil-bearing saturation and the like, but the stratum attribute parameters are relatively large in spatial change, even in some places, no-flow areas exist, the accurate calculation is difficult, and the calculated amount is large; for the well test data analysis method, available well test data are generally less, not all wells have well test data, especially well test data are often interfered by adjacent wells in the middle and later periods of oil field development, and the well control reserves are difficult to accurately judge; the numerical simulation analysis method has the advantages of large input data volume, large workload, long working period and difficulty in analyzing the dynamic reserves of the oil well at any time, and the whole oil reservoir needs to be described finely.
Therefore, the existing oil well dynamic reserve prediction methods have limitations, and cannot accurately and effectively predict and analyze the oil well dynamic reserve in real time, and waste time and resources.
Disclosure of Invention
The embodiment of the application provides a method, a device, equipment and a storage medium for predicting oil well dynamic reserves, which are used for solving the problems that the existing method for predicting the oil well dynamic reserves cannot accurately and effectively predict and analyze the oil well dynamic reserves in real time and wastes time and resources.
In a first aspect, an embodiment of the present application provides a method for predicting dynamic reserves of an oil well, including:
determining a gas-oil ratio corresponding to oil well data in a predicted time period according to historical oil well data, wherein the historical oil well data comprises a plurality of first accumulated gas injection amounts injected into an oil well in a historical preset time period and a plurality of first accumulated mixed oil production amounts produced by the oil well after gas injection in the historical preset time period, and the gas-oil ratio is used for evaluating gas injection huff-puff well efficiency;
determining a second cumulative mixed oil yield of the oil well after gas injection in a predicted time period based on a first functional relationship and a gas-oil ratio corresponding to oil well data in the predicted time period, wherein the first functional relationship is determined according to the plurality of first cumulative gas injection amounts and the plurality of first cumulative mixed oil yields;
and determining the dynamic reserve of the oil well in the predicted time period according to the second accumulated mixed oil production.
In one possible design, before the determining, according to the historical oil well data, a gas-oil ratio corresponding to the oil well data in the predicted period of time, the method further includes:
collecting historical oil well data;
data fitting is performed on the historical well data to determine a first functional relationship between the cumulative gas injection and the cumulative mixed oil production.
In one possible design, the determining, according to the historical oil well data, the gas-oil ratio corresponding to the oil well data in the predicted time period includes:
determining an average gas injection rate of the injected oil well in the historical time period according to the largest first accumulated gas injection rate in the plurality of first accumulated gas injection rates;
determining average mixed oil yield of the oil well after gas injection in the historical preset time period according to the largest first accumulated mixed oil yield in the plurality of first accumulated mixed oil yields;
and determining the gas-oil ratio corresponding to the oil well data in the prediction time period according to the average mixed oil yield and the average gas injection amount, wherein the gas-oil ratio corresponding to the oil well data in the prediction time period is the ratio of the average gas injection amount to the average mixed oil yield.
In one possible design, the first functional relationship is: lnG P ＝A+BN P The method comprises the steps of carrying out a first treatment on the surface of the Wherein N is P For the mixed oil production, G P For the accumulated gas injection, A is the intercept, and B is the slope;
and determining a second cumulative mixed oil yield of the oil well after gas injection in the prediction time period based on a first functional relation and a gas-oil ratio corresponding to oil well data in the prediction time period, wherein the second cumulative mixed oil yield comprises the following steps:
Conducting time derivation on the first functional relation to obtain a first formula, wherein the first formula is as follows:
taking the derivative of the accumulated gas injection amount in time in the first formula as the average gas injection amount, and recording as
Taking the derivative of the accumulated mixed oil yield in time in the first formula as the average mixed oil yield, and recording as
Performing equality transformation on the first formula to obtain a second formula containing the gas-oil ratio corresponding to the oil well data in the prediction time period, wherein the gas-oil ratio corresponding to the oil well data in the prediction time period is as follows:the second formula is:the second formula is a formula of the accumulated gas injection amount;
obtaining a second accumulated gas injection amount of the injected oil well in the prediction time period according to a formula of the gas-oil ratio, the slope and the accumulated gas injection amount corresponding to the oil well data in the prediction time period, wherein the second accumulated gas injection amount is as follows:
obtaining a formula of the accumulated mixed oil yield according to the second formula and the first functional relation, wherein the formula of the accumulated mixed oil yield is as follows:
obtaining a second accumulated mixed oil yield of the oil well after gas injection in the prediction time period according to a formula of the oil well data corresponding to the gas-oil ratio, the intercept, the slope and the accumulated mixed oil yield in the prediction time period, wherein the second accumulated mixed oil yield is:
In one possible design, the determining the dynamic reserve of the well for the predicted period of time based on the second cumulative mixed oil production includes:
acquiring accumulated oil production of the oil well before gas injection in the predicted time period;
and determining the dynamic reserve of the oil well in the prediction time period according to the accumulated oil yield of the oil well before gas injection in the prediction time period, the second accumulated mixed oil yield of the oil well after gas injection in the prediction time period and the preset recovery ratio.
In one possible design, after said determining the dynamic reserve of the well for the predicted period of time, further comprising:
according to the second accumulated gas injection amount injected into the oil well in the prediction time period, the second accumulated mixed oil production amount produced by the oil well after gas injection in the prediction time period and the first functional relation, determining a gas-oil ratio limit value corresponding to oil well data in the prediction time period through iterative calculation;
and determining an oil well limit dynamic reserve according to the gas-oil ratio limit value and the first functional relation, wherein the oil well limit dynamic reserve is used for representing the maximum effective value of the oil well dynamic reserve or produced oil quantity.
In a second aspect, an embodiment of the present application provides a device for predicting dynamic reserves of an oil well, including:
the gas-oil ratio determining module is used for determining a gas-oil ratio corresponding to oil well data in a predicted time period according to historical oil well data, wherein the historical oil well data comprises a plurality of first accumulated gas injection amounts injected into an oil well in a historical preset time period and a plurality of first accumulated mixed oil production amounts produced by the oil well after gas injection in the historical preset time period, and the gas-oil ratio is used for evaluating gas injection huff-puff well efficiency;
the oil production determining module is used for determining a second accumulated mixed oil production of the oil well after gas injection in the prediction time period based on a first functional relation and an air-oil ratio corresponding to oil well data in the prediction time period, wherein the first functional relation is determined according to the plurality of first accumulated gas injection amounts and the plurality of first accumulated mixed oil production;
and the oil well dynamic reserve determining module is used for determining the oil well dynamic reserve in the prediction time period according to the second accumulated mixed oil production.
In one possible design, the apparatus further comprises: the system comprises a historical data acquisition module and a first functional relation determination module;
the historical data acquisition module is used for acquiring historical oil well data before determining the gas-oil ratio corresponding to the oil well data in the prediction time period according to the historical oil well data;
And the first functional relation determining module is used for carrying out data fitting on the historical oil well data to determine a first functional relation between the accumulated gas injection quantity and the accumulated mixed oil production.
In one possible design, the gas-oil ratio determining module is specifically configured to:
determining an average gas injection rate of the injected oil well in the historical time period according to the largest first accumulated gas injection rate in the plurality of first accumulated gas injection rates;
determining average mixed oil yield of the oil well after gas injection in the historical preset time period according to the largest first accumulated mixed oil yield in the plurality of first accumulated mixed oil yields;
and determining the gas-oil ratio corresponding to the oil well data in the prediction time period according to the average mixed oil yield and the average gas injection amount, wherein the gas-oil ratio corresponding to the oil well data in the prediction time period is the ratio of the average gas injection amount to the average mixed oil yield.
In one possible design, the first functional relationship is: lnG P ＝A+BN P The method comprises the steps of carrying out a first treatment on the surface of the Wherein N is P For the mixed oil production, G P For the accumulated gas injection, A is the intercept, and B is the slope;
the oil production determining module is specifically configured to:
conducting time derivation on the first functional relation to obtain a first formula, wherein the first formula is as follows:
Taking the derivative of the accumulated gas injection amount in time in the first formula as the average gas injection amount, and recording as
Taking the derivative of the accumulated mixed oil yield in time in the first formula as the average mixed oil yield, and recording as
Performing equality transformation on the first formula to obtain the number of oil wells in the predicted time periodAccording to a second formula of the corresponding gas-oil ratio, the gas-oil ratio corresponding to the oil well data in the prediction time period is as follows:the second formula is:the second formula is a formula of the accumulated gas injection amount;
obtaining a second accumulated gas injection amount of the injected oil well in the prediction time period according to a formula of the gas-oil ratio, the slope and the accumulated gas injection amount corresponding to the oil well data in the prediction time period, wherein the second accumulated gas injection amount is as follows:
obtaining a formula of the accumulated mixed oil yield according to the second formula and the first functional relation, wherein the formula of the accumulated mixed oil yield is as follows:
obtaining a second accumulated mixed oil yield of the oil well after gas injection in the prediction time period according to a formula of the oil well data corresponding to the gas-oil ratio, the intercept, the slope and the accumulated mixed oil yield in the prediction time period, wherein the second accumulated mixed oil yield is:
In one possible design, the oil well dynamic reserve determination module is specifically configured to:
acquiring accumulated oil production of the oil well before gas injection in the predicted time period;
and determining the dynamic reserve of the oil well in the prediction time period according to the accumulated oil yield of the oil well before gas injection in the prediction time period, the second accumulated mixed oil yield of the oil well after gas injection in the prediction time period and the preset recovery ratio.
In one possible design, the apparatus further comprises: a gas-oil ratio limit value determining module and an oil well limit dynamic reserve determining module;
the gas-oil ratio limit value determining module is configured to determine, after the determining of the dynamic reserve of the oil well in the predicted time period, a gas-oil ratio limit value corresponding to oil well data in the predicted time period according to a second accumulated gas injection amount of the oil well injected in the predicted time period, a second accumulated mixed oil production amount of the oil well produced after gas injection in the predicted time period, and the first functional relationship through iterative calculation;
the oil well limit dynamic reserve determining module is used for determining oil well limit dynamic reserve according to the gas-oil ratio limit value and the first functional relation, and the oil well limit dynamic reserve is used for representing the maximum effective value of the oil well dynamic reserve or oil yield.
In a third aspect, an embodiment of the present application provides an apparatus for predicting dynamic reserves of an oil well, including: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executes computer-executable instructions stored in the memory, causing the at least one processor to perform the method of predicting dynamic reserves of an oil well as described above in the first aspect and the various possible designs of the first aspect.
In a fourth aspect, an embodiment of the present application provides a computer readable storage medium, where computer executable instructions are stored in the computer readable storage medium, and when the processor executes the computer executable instructions, the method for predicting dynamic reserves of an oil well according to the first aspect and the various possible designs of the first aspect is implemented.
According to the method, the device, the equipment and the storage medium for predicting the dynamic reserve of the oil well, firstly, the gas-oil ratio corresponding to the oil well data in a prediction time period is determined according to the historical oil well data, the gas injection huff-puff well efficiency is evaluated through the gas-oil ratio, the gas injection amount of the gas required to be injected in the prediction time period is judged to be reasonable and effective, then, based on a first functional relation and the gas-oil ratio corresponding to the oil well data in the prediction time period, the second accumulated mixed oil yield of the oil well after gas injection in the prediction time period is determined, and then, the dynamic reserve of the oil well in the prediction time period is determined according to the second accumulated mixed oil yield, so that the prediction of the dynamic reserve of the oil well in the prediction time period is completed. According to the method, the gas-oil ratio corresponding to the gas injection quantity required to be injected into the oil well in a prediction time period is determined through historical oil well data, so that the gas injection huff-puff well efficiency is evaluated, the gas injection huff-puff technology is simple to operate, safe and reliable, the second accumulated mixed oil yield of the oil well after gas injection in the prediction time period is determined based on the first functional relation and the gas injection rate corresponding to the oil well data in the prediction time period, the oil well dynamic reserve in the prediction time period is determined according to the second accumulated mixed oil yield, and further the reasonable effectiveness of oil extraction is determined.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions of the prior art, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it will be obvious that the drawings in the following description are some embodiments of the present application, and that other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.
FIG. 1 is a schematic flow chart of a method for predicting dynamic reserves of an oil well according to an embodiment of the present application;
FIG. 2 is a flow chart of a method for predicting dynamic reserves of an oil well according to another embodiment of the present application;
FIG. 3 is a flow chart of a method for predicting dynamic reserves of an oil well according to another embodiment of the present application;
FIG. 4 is a flow chart of a method for predicting dynamic reserves of an oil well according to still another embodiment of the present application;
FIG. 5 is a flow chart of a method for predicting dynamic reserves of an oil well according to another embodiment of the present application;
FIG. 6 is a flow chart of a method for predicting dynamic reserves of an oil well according to still another embodiment of the present application;
FIG. 7 is a schematic structural diagram of a device for predicting dynamic reserves of an oil well according to an embodiment of the present application;
Fig. 8 is a schematic structural diagram of an apparatus for predicting dynamic reserves of an oil well according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The terms "first," "second," "third," "fourth" and the like in the description and in the claims and in the above drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented, for example, in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In the prior art, as the development process of a carbonate oil well is gradually accelerated, a large amount of residual oil is buried at the bottom of the well due to rapid bottom water pushing, and an effective technical means must be found to excavate the residual oil, so that the recovery ratio is improved. However, the exploitation mode in the prior art is too complex, so that the workload is large, and the dynamic reserve of the oil well is difficult to accurately judge or analyze, thereby wasting time and resources.
In actual work, oil reservoir management staff (staff) calculates the effective gas injection volume under different stratum pressures through fine oil reservoir exploitation, explores a preliminary method for high-pressure gas injection and water cone pressing, and smoothly deploys a first gas injection huff-puff well. In order to solve the above technical problems, an embodiment of the present application provides a method for predicting dynamic reserves of an oil well to solve the above problems.
Fig. 1 is a flow chart of a method for predicting dynamic reserves of an oil well according to an embodiment of the present application, where an execution body of the embodiment may be a terminal or a server, and the embodiment is not limited herein.
Referring to fig. 1, the method for predicting the dynamic reserve of the oil well comprises the following steps:
s101, determining a gas-oil ratio corresponding to oil well data in a predicted time period according to historical oil well data, wherein the historical oil well data comprises a plurality of first accumulated gas injection amounts of an injected oil well in a historical preset time period and a plurality of first accumulated mixed oil production amounts of the produced oil well after gas injection in the historical preset time period, and the gas-oil ratio is used for evaluating gas injection huff-puff well efficiency.
In this embodiment, the predicted period may be any period from the current time to the future time. And determining the gas-oil ratio of the gas injection huff-puff well in the predicted time period through multiple groups of historical data, namely, obtaining the gas-oil ratio corresponding to the oil well data in the predicted time period through multiple first accumulated gas injection amounts of the gas injection huff-puff well in the historical preset time period and multiple first accumulated mixed oil production amounts of the oil well produced after gas injection in the historical preset time period. For example, the gas-oil ratio is obtained by comparing the average value of the sum of the plurality of first accumulated mixed oil production and the average value of the sum of the plurality of first accumulated gas injection; or, the gas-oil ratio is obtained by comparing the average mixed oil yield corresponding to the maximum value in the plurality of first accumulated mixed oil yields with the average gas injection quantity corresponding to the maximum value in the plurality of first accumulated gas injection quantities. Through the prediction of the gas-oil ratio, the effective production amount corresponding to the oil well in the prediction time period can be effectively determined. For example, when a worker injects 10 cubic meters of gas into an oil well to extract 1 ton of mixed oil, the gas-oil ratio is 0.1, the extraction value corresponding to the gas-oil ratio is determined by combining the comprehensive indexes of the extraction sites, if the gas-oil ratio is smaller than a preset value, the gas-oil ratio is not suitable for continuous extraction of the oil well, the range of the gas-oil ratio (namely, the gas-oil ratio corresponding to oil well data in a prediction time period) is 0-1, the preset value can be 0.1, and the setting of the preset value needs to be determined according to the comprehensive indexes of the extraction sites.
In practical application, the principle of the gas injection huff-puff well is as follows: first, a technical researcher (staff) detects that the well location must be preferred for gas injection throughput operations. Fully combining the attic oil enrichment based and dynamic and static data in the well selection process to determine that the operation object is necessary to be implemented by high-position residual oil and the recoverable reserve is large; meanwhile, according to the consideration of the whole well group, single well gas injection is performed firstly, then unit gas injection is performed, and gas injection throughput is preferably implemented by single wells at the high parts of the suspected communicated well group. In the process of applying the gas injection throughput technology, workers comprehensively consider the characteristics of a block oil well residual oil model, residual oil scale and reservoir body type, and comprehensively plan by combining the communication relation between a shaft and a stratum and the analysis result of an advantageous channel and referring to various factors such as water energy, fluid properties and the like. Under the above operating conditions, the gas injection throughput "roadmap" is formed: for wells with sufficient natural energy, gas injection is carried out by adopting a self-injection pipe column, and the natural energy is fully utilized for production; for wells with insufficient natural energy, gas injection is performed by adopting a mechanical production pipe column, gas injection and mechanical production are integrated, and gas injection efficiency is improved. The method is beneficial to establishing a system gas injection effect evaluation system and corresponding gas injection parameter control standards, and promotes the scale and benefit of gas injection throughput of the carbonate rock block of the oil field. However, conventional predictive carbonate wells have large dynamic reserve errors. The application selects the relevant parameters after gas injection, calculates the recoverable reserves and the dynamic reserves of the carbonate oil well under different gas-oil ratio conditions, is favorable for reasonable development of the oil well, namely increases the pressure in the oil well by injecting gas into the oil well, and further extracts the reservoir oil at the bottom of the oil well.
The execution main body of the embodiment can be a prediction system of the dynamic reserves of the oil well, and is used for predicting the dynamic reserves of the oil well in a future time period in the actual petroleum exploitation process, and the data acquisition device in the prediction system of the dynamic reserves of the oil well is used for acquiring historical oil well data to predict the efficiency of gas injection huff and puff well of the oil well exploitation in the future time period, so that the processing speed is high. The server can acquire historical oil well data through the acquisition device, and then the gas-oil ratio corresponding to the oil well data in the prediction time period can be obtained through data processing, so that the processing precision is high. The method for predicting the dynamic reserve of the oil well can solve the problems that the existing method for predicting the dynamic reserve of the oil well cannot accurately and effectively predict and analyze the dynamic reserve of the oil well in real time and wastes time and resources.
S102, determining a second accumulated mixed oil yield of the oil well after gas injection in a predicted time period based on a first functional relation and a gas-oil ratio corresponding to oil well data in the predicted time period, wherein the first functional relation is determined according to the plurality of first accumulated gas injection amounts and the plurality of first accumulated mixed oil yields.
In this embodiment, a first functional relationship is provided for representing a functional relationship between a cumulative gas injection amount and a cumulative mixed oil yield, where the cumulative gas injection amount and the cumulative mixed oil yield are both unknown amounts. Specifically, the first functional relationship may be obtained by performing data processing according to historical data, for example, the first functional relationship may be a linear relationship or a double-log linear relationship, i.e. N P ＝A1+B1G P Or lnG P ＝A+BN P Wherein A1 and A are intercept, and B1 and B are average slope.
And the first functional relation and the second functional relation are used for obtaining unknown quantities, namely the second accumulated mixed oil yield of the oil well after gas injection in the prediction time period and the second accumulated gas injection of the oil well after gas injection in the prediction time period, so that the second accumulated mixed oil yield of the oil well after gas injection in the prediction time period and the second accumulated gas injection of the oil well after gas injection in the prediction time period are determined by a gas injection throughput technology.
In practical application, after the working personnel extracts the produced mixed oil production, the gas and the oil are required to be separated, so that the practical oil production is obtained.
And step S103, determining the dynamic reserve of the oil well in the predicted time period according to the second accumulated mixed oil production.
In this embodiment, in order to determine the dynamic reserves of the well during the predicted period of time, it is also necessary to combine the actual reserves or actual production in the well prior to gas injection with the resulting second cumulative mixed oil production of the well during the predicted period of time. The dynamic reserve of the oil well in the prediction period can be a multiple of the sum of the actual reserve or actual production in the oil well before gas injection and the obtained second accumulated mixed oil production of the oil well in the prediction period, or can be a multiple of the sum of the actual oil production corresponding to the second accumulated mixed oil production of the oil well in the prediction period and the actual reserve or actual production in the oil well before gas injection, and the multiple can be the actual recovery. The method is simple and quick, saves time and resources when calculating the dynamic reserve of the oil well in the predicted time period, and has high accuracy because the dynamic reserve of the oil well is determined by combining the actual exploitation condition, namely the recovery ratio.
In this embodiment, firstly, according to historical oil well data, determining the gas-oil ratio corresponding to the oil well data in a prediction period, evaluating the gas injection huff-puff well efficiency through the gas-oil ratio, judging how much gas needs to be injected in the prediction period to perform oil extraction reasonably and effectively, then, based on a first functional relation and the gas-oil ratio corresponding to the oil well data in the prediction period, determining the second accumulated mixed oil yield of the oil well after gas injection in the prediction period, and then, according to the second accumulated mixed oil yield, determining the dynamic oil well reserve in the prediction period, and completing the prediction of the dynamic oil well reserve in the prediction period. According to the method, the gas-oil ratio corresponding to the gas injection quantity required to be injected into the oil well in a prediction time period is determined through historical oil well data, so that the gas injection huff-puff well efficiency is evaluated, the gas injection huff-puff technology is simple to operate, safe and reliable, the second accumulated mixed oil yield of the oil well after gas injection in the prediction time period is determined based on the first functional relation and the gas injection rate corresponding to the oil well data in the prediction time period, the oil well dynamic reserve in the prediction time period is determined according to the second accumulated mixed oil yield, and further the reasonable effectiveness of oil extraction is determined.
Before determining the gas-oil ratio corresponding to the oil well data in the prediction time period according to the historical oil well data, a first functional relation needs to be determined, so that the prediction or determination of the dynamic reserve of the oil well in the prediction time period is fast and accurately performed. Thus, for determining the first functional relationship, see fig. 2.
Fig. 2 is a flow chart of a method for predicting dynamic reserves of an oil well according to another embodiment of the present application, which is based on the embodiment shown in fig. 1, and details how to determine a first functional relationship. I.e. before step S101, the method further comprises:
s201, collecting historical oil well data.
In practical application, the staff performs gas injection on the oil well in stages, for example, three rounds of gas injection are performed in a period from 2017 month 1 to 2018 month 1, the first round of gas injection time is 2017 month 1, the second round of gas injection time is 2017 month 5, and the third round of gas injection time is 2017 month 9, so that the historical oil well data can be multiple sets of historical data, namely, a plurality of first accumulated gas injection amounts of the injected oil well in a historical preset time period and a plurality of first accumulated mixed gas production amounts of the produced oil well after gas injection in the historical preset time period, wherein the first accumulated gas injection amounts are accumulated gas injection amounts of the injected gas of each round of oil well, and each first accumulated mixed gas production amount is accumulated produced by the oil well after gas injection of each round of the oil well.
Specifically, the obtaining or collecting mode of the historical oil well data may be that the user side uploads the historical oil well data to a preset log file, and then obtains the historical oil well data from the preset log file; or the data can be acquired in real time by the data acquisition device. Wherein the collection of historical well data is a functional relationship that facilitates the determination of cumulative gas injection and cumulative mixed oil production.
And S202, performing data fitting on the historical oil well data, and determining a first functional relation between the accumulated gas injection quantity and the accumulated mixed oil production.
In this embodiment, the historical oil well data is uploaded to a fitting tool box of the MATLAB through a fitting tool, such as the MATLAB, and the data fitting is performed on the historical oil well data, so as to obtain a functional curve and a first functional relationship between the cumulative gas injection and the cumulative mixed oil production.
In practical application, by fitting a large amount of data (historical oil well data) of a carbonate oil well, the method finds that the accumulated oil yield and the accumulated gas injection amount show a double-log linear relation in the middle and later stages of the gas injection huff-puff well:
lnG P ＝A+BN P the method can conveniently and rapidly obtain the dynamic reserve of the oil well in a preset time period based on the logarithmic linear relation between the accumulated oil production and the accumulated gas injection, so that the exploitation task of the oil well can be conveniently and effectively completed.
To evaluate the gas injection huff-puff well efficiency, fig. 3 shows a specific process of how to determine the gas-oil ratio corresponding to the oil well data in the predicted period. Fig. 3 is a schematic flow chart of a method for predicting dynamic reserves of an oil well according to another embodiment of the present application, and the embodiment describes step S101 in detail based on the above embodiment, for example, based on the embodiment shown in fig. 2. And determining the gas-oil ratio corresponding to the oil well data in the predicted time period according to the historical oil well data, wherein the determining comprises the following steps:
s301, determining average gas injection amount of the injected oil well in the historical time period according to the largest first accumulated gas injection amount in the plurality of first accumulated gas injection amounts.
In this embodiment, the historical oil well data includes a plurality of first accumulated gas injection amounts injected into the oil well in a plurality of historical preset time periods and a plurality of first accumulated mixed oil production amounts produced by the oil well after gas injection in a plurality of historical preset time periods, where one historical preset time period corresponds to one first accumulated gas injection amount and one first accumulated mixed oil production amount respectively.
The average gas injection amount calculation method for injecting the oil well in the history preset time can be as follows: taking the largest first accumulated air injection amount in the plurality of first accumulated air injection amounts as the total air injection amount of the injected oil well in the history preset time, taking the accumulated time corresponding to the total air injection amount of the injected oil well in the history preset time as the total air injection amount of the injected oil well in the history preset time, and obtaining the average air injection amount of the injected oil well in the history preset time according to the total air injection amount of the injected oil well in the history preset time and the total air injection amount of the injected oil well in the history preset time. For example, the total gas injection amount injected into the oil well in the history preset time is M1, the total gas injection time into the oil well in the history preset time is T1, and the average gas injection amount injected into the oil well in the history preset time is: M1/T1.
S302, determining average mixed oil yield of the oil well after gas injection in the historical preset time period according to the largest first accumulated mixed oil yield in the plurality of first accumulated mixed oil yields.
In this embodiment, the method for calculating average mixed oil yield of the oil well injected in the history preset time may be: taking the largest first accumulated mixed oil yield in the first accumulated mixed oil yields as the total mixed oil yield produced by the oil well after gas injection in the historical preset time, and taking the accumulated time corresponding to the total mixed oil yield produced by the oil well after gas injection in the historical preset time as the total time of the total mixed oil yield produced by the oil well after gas injection in the historical preset time, namely the total time of gas injection to the oil well in the historical preset time. And obtaining the average mixed oil yield of the oil well after gas injection in the history preset time according to the total mixed oil yield of the oil well after gas injection in the history preset time and the total gas injection time of the oil well in the history preset time. For example, after gas injection in the history preset time, the total mixed oil yield of the oil well is M2, and the total time of gas injection to the oil well in the history preset time is T1, then the average mixed oil yield of the oil well after gas injection in the history preset time is: M2/T1.
S303, determining the gas-oil ratio corresponding to the oil well data in the prediction time period according to the average mixed oil yield and the average gas injection amount, wherein the gas-oil ratio corresponding to the oil well data in the prediction time period is the ratio of the average gas injection amount to the average mixed oil yield.
In this embodiment, according to the average mixed oil production and the average gas injection amount, a ratio of the average mixed oil production to the average gas injection amount is calculated to obtain a gas-oil ratio corresponding to oil well data in the prediction time period, so that the calculation is simple, the time is saved, and meanwhile, a reasonable and effective evaluation can be quickly made on the gas injection huff-puff well.
In order to be able to produce or produce the second cumulative mixed oil production during the actual production process, it is necessary to determine how much gas is injected into the well, and by determining the second cumulative mixed oil production produced by the well after the gas injection during the predicted period, the second cumulative gas injection amount injected into the well during the predicted period can also be determined. In order to accurately calculate the second cumulative mixed oil production of the well after the gas injection during the predicted period, fig. 4 shows a specific process how the second cumulative mixed oil production of the well after the gas injection during the predicted period is determined.
Fig. 4 is a flow chart of a method for predicting dynamic reserves of an oil well according to still another embodiment of the present application, and the embodiment is described in detail in step S102 based on the above embodiment, for example, the embodiment shown in fig. 3. Specifically, the first functional relationship is: lnG P ＝A+BN P The method comprises the steps of carrying out a first treatment on the surface of the Wherein N is P For the mixed oil production, G P For the accumulated gas injection, A is the intercept, and B is the slope; and determining a second cumulative mixed oil yield of the oil well after gas injection in the prediction time period based on a first functional relation and a gas-oil ratio corresponding to oil well data in the prediction time period, wherein the second cumulative mixed oil yield comprises the following steps:
s401, conducting time derivation on the first functional relation to obtain a first formula, wherein the first formula is as follows:
s402, taking the derivative of the accumulated gas injection quantity in time in the first formula as the average gas injection quantity, and recording as
S403, taking the derivative of the accumulated mixed oil yield in time in the first formula as the average mixed oil yield, and recording as
S404, carrying out equality transformation on the first formula to obtain a second formula containing the gas-oil ratio corresponding to the oil well data in the prediction time period, wherein the gas-oil ratio corresponding to the oil well data in the prediction time period is as follows: The second formula is: />The second formula is a formula of the accumulated gas injection amount;
s405, obtaining a second accumulated gas injection amount of the injected oil well in the prediction time period according to a gas-oil ratio, the slope and the accumulated gas injection amount formula corresponding to the oil well data in the prediction time period, wherein the second accumulated gas injection amount is as follows:
s406, obtaining a formula of the accumulated mixed oil yield according to the second formula and the first functional relation, wherein the formula of the accumulated mixed oil yield is as follows:
s407, obtaining a second accumulated mixed oil yield of the oil well after gas injection in the prediction time period according to a formula of the oil well data corresponding to the gas-oil ratio, the intercept, the slope and the accumulated mixed oil yield in the prediction time period, wherein the second accumulated mixed oil yield is:
in this embodiment, since the first functional relationship is a functional relationship related to the unknown accumulated gas injection amount and the accumulated mixed oil production amount, the second accumulated gas injection amount injected into the oil well in the predicted period of time can be determined by the first functional relationship and the gas-oil ratio, so that the second accumulated mixed oil production amount produced by the oil well after gas injection in the predicted period of time can be determined or produced by accurately injecting gas.
The equation conversion is performed on the first functional relation to obtain a formula containing the gas-oil ratio corresponding to the oil well data in the prediction time period, namely a second formula, wherein the second formula is a formula for obtaining the accumulated gas injection amount, the second accumulated gas injection amount of the injected oil well in the prediction time period can be obtained according to the second formula and the gas-oil ratio corresponding to the oil well data in the known prediction time period, the formula of the accumulated mixed oil production amount can be obtained according to the second formula and the first functional relation, and the second accumulated mixed oil production amount of the oil well produced after gas injection in the prediction time period can be accurately determined according to the gas-oil ratio corresponding to the oil well data in the known prediction time period.
Specifically, the first functional relationship is subjected to equality transformation, namely, the first functional relationship lnG P ＝A+BN P Conducting time derivation to obtain a first formula:namely +.>Due to->The formula of the gas-oil ratio is: />Therefore, the first formula is subjected to equality transformation to obtain a second formula containing the gas-oil ratio corresponding to the oil well data in the prediction time period: />Substituting the gas-oil ratio and the slope corresponding to the oil well data in the predicted time period into the second formula to obtain the second accumulated gas injection amount as follows: / >G of the second formula P Substituting the first functional relation to obtain the formula of the accumulated mixed oil yield:thus, as the gas-to-oil ratio changes, the cumulative gas injection and cumulative mixed oil production also change continuously. Substituting the gas-oil ratio, the intercept and the slope corresponding to the oil well data in the prediction time period into a formula of the accumulated mixed oil production to obtain a second accumulated mixed oil production of the oil well after gas injection in the prediction time period:the calculation method for determining the second accumulated gas injection amount injected into the oil well in the prediction time period and the second accumulated mixed oil production amount produced by the oil well after gas injection in the prediction time period is simple, and the second injected into the oil well in the prediction time period can be rapidly predictedAnd accumulating the gas injection quantity and predicting a second accumulated mixed oil yield produced by the oil well after gas injection in a time period.
After determining the second accumulated mixed oil production of the oil well after gas injection in the prediction time period, the dynamic reserve of the oil well in the prediction time period is obtained through function calculation according to the actual recovery ratio, so that the exploitation basis is conveniently provided for oil exploitation engineering. To accurately predict the dynamic reserves of the well during the predicted time period, fig. 5 shows a specific process of how to determine the dynamic reserves of the well during the predicted time period.
Referring to fig. 5, fig. 5 is a schematic flow chart of a method for predicting dynamic reserves of an oil well according to still another embodiment of the present application. This embodiment is based on the above embodiments, for example, the embodiments of fig. 1-4, and the embodiment describes the determination of the dynamic reserves of the well during the predicted time period. Specifically, the determining the dynamic reserve of the oil well in the predicted time period according to the second accumulated mixed oil production includes:
s501, acquiring accumulated oil production of the oil well before gas injection in the prediction time period.
In this embodiment, the acquiring or collecting manner of the accumulated oil production of the oil well before gas injection in the predicted period of time may be that the user side uploads the accumulated oil production of the oil well before gas injection to a preset log file when predicting the accumulated oil production, and then acquires the data from the preset log file; or the data can be acquired in real time by the data acquisition device. Wherein the collection or acquisition of accumulated oil production from the well prior to gas injection during the predicted time period is convenient for determining the dynamic reserves of the well during the predicted time period.
S502, determining the dynamic reserve of the oil well in the prediction time period according to the accumulated oil yield of the oil well before gas injection in the prediction time period, the second accumulated mixed oil yield of the oil well after gas injection in the prediction time period and the preset recovery ratio.
In this embodiment, the accumulated oil production of the oil well before gas injection in the predicted period is denoted as N0, and the oil well is dynamically stored in the predicted periodThe sum of the accumulated oil yield of the oil well before gas injection and the second accumulated mixed oil yield of the oil well after gas injection in the prediction time period is calculated, and the sum of the accumulated oil yield of the oil well before gas injection in the prediction time period and the second accumulated mixed oil yield of the oil well after gas injection in the prediction time period is taken as the actual oil yield in the prediction time period, namely N Can be adopted ＝N 0 +N P And determining the dynamic reserve of the oil well in the predicted time period to be N according to the actual oil quantity which can be produced in the predicted time period and the preset recovery ratio.
In practical application, according to the characteristics of the gas injection huff-puff well, the preset recovery ratio may be set to n, where n is a fraction, for example, 0.2, and the dynamic reserves of the oil well in the predicted time period are: n=n Can be adopted /n＝(N 0 +N P ) N, and thenSubstitution of n=n Can be adopted /n＝(N 0 +N P ) In/n, get->
In practical application, because the gas-oil ratio exists, the gas injection in the oil well can not be carried out for oil exploitation according to the actual situation, the comprehensive situation of the oil exploitation local is needed to be combined, whether the gas injection in the oil well is suitable for being continued is judged according to the gas-oil ratio, and the recoverable reserves of the carbonate oil well and the dynamic reserves of the oil well under the condition of different gas-oil ratios can be calculated according to the different gas-oil ratios, so that the reasonable development of the oil well is facilitated. Thus, for more accurate and sensible production or determination of dynamic oil well reserves over a predicted period of time, FIG. 6 shows a specific process of how to determine production or determine the effective value of dynamic oil well reserves over a predicted period of time.
FIG. 6 is a flow chart of a method for predicting dynamic reserves in an oil well according to still another embodiment of the present application. The present embodiment describes in detail the determination of the oil production or the determination of the effective value of the dynamic oil well reserve in the predicted time period based on the above embodiments, for example, the embodiment described in fig. 5. Specifically, after said determining the dynamic reserve of the well for the predicted period of time, further comprising:
s601, determining a gas-oil ratio limit value corresponding to oil well data in a prediction time period through iterative calculation according to a second accumulated gas injection amount injected into the oil well in the prediction time period, a second accumulated mixed oil production amount produced by the oil well after gas injection in the prediction time period and the first functional relation.
In this embodiment, the predicted time period may be divided into a plurality of predicted time periods according to a time sequence, wherein the second cumulative gas injection amount injected into the oil well in the predicted time period is used as the cumulative gas injection amount injected into the oil well in the first predicted time period, the second cumulative mixed oil production amount produced by the oil well after gas injection in the predicted time period is used as the second cumulative mixed oil production amount produced by the oil well after gas injection in the first predicted time period, and the formula of the gas-oil ratio corresponding to the oil well data in the predicted time period is used And determining a gas-oil ratio C2 corresponding to oil well data in a second prediction time period, calculating the cumulative gas injection amount of the injected oil well in the second prediction time period and the cumulative mixed oil production of the oil well after gas injection in the second prediction time period according to the formula of the cumulative gas injection amount and the formula of the cumulative mixed oil production, and determining the gas-oil ratio corresponding to the oil well data in a third prediction time period as a gas-oil ratio limit value corresponding to the oil well data in the prediction time period according to the cumulative gas injection amount of the injected oil well in the second prediction time period and the cumulative mixed oil production of the oil well after gas injection in the second prediction time period according to the formula of the gas-oil ratio corresponding to the oil well data in the prediction time period, and so on until the gas-oil ratio is not changed or is close to a preset value.
S602, determining an oil well limit dynamic reserve according to the gas-oil ratio limit value and the first functional relation, wherein the oil well limit dynamic reserve is used for representing the maximum effective value of the oil well dynamic reserve or produced oil quantity.
In the present embodiment, according to the determined limit value C of the gas-oil ratio Limit min Combining the formula of the accumulated gas injection amount and the formula of the accumulated mixed oil production amount, the maximum effective value of the oil well dynamic accumulation or oil production amount can be obtained,the ultimate dynamic reserve of the oil well. The method is used for evaluating the gas injection huff-puff well efficiency by researching the gas-oil ratio of the gas injection well in different time periods or different stages, and provides a carbonate oil well recoverable reserve and dynamic reserve calculation method which is used for gas injection huff-puff well process evaluation.
In order to realize the method for predicting the dynamic reserve of the oil well, the embodiment provides a device for predicting the dynamic reserve of the oil well. Referring to fig. 7, fig. 7 is a schematic structural diagram of an apparatus for predicting dynamic reserves of an oil well according to an embodiment of the present application; the device for predicting the dynamic reserve of the oil well comprises: a gas-to-oil ratio determination module 701, a production determination module 702, and a well dynamic reserves determination module 703; the gas-oil ratio determining module 701 is configured to determine, according to historical oil well data, a gas-oil ratio corresponding to oil well data in a predicted time period, where the historical oil well data includes a plurality of first accumulated gas injection amounts injected into an oil well in a historical preset time period and a plurality of first accumulated mixed oil production amounts produced by the oil well after gas injection in the historical preset time period, and the gas-oil ratio is used for evaluating gas injection huff-puff well efficiency; the oil production determining module 702 is configured to determine a second cumulative mixed oil production of the oil well after gas injection in the predicted time period based on a first functional relationship and a gas-oil ratio corresponding to oil well data in the predicted time period, where the first functional relationship is determined according to the plurality of first cumulative gas injection amounts and the plurality of first cumulative mixed oil production; the oil well dynamic reserve determining module 703 is configured to determine an oil well dynamic reserve in the predicted time period according to the second cumulative mixed oil production.
The device provided in this embodiment may be used to implement the technical solution of the foregoing method embodiment, and its implementation principle and technical effects are similar, and this embodiment will not be described herein again.
In one possible design, the apparatus further comprises: the apparatus further comprises: the system comprises a historical data acquisition module and a first functional relation determination module; the historical data acquisition module is used for acquiring historical oil well data before determining the gas-oil ratio corresponding to the oil well data in the prediction time period according to the historical oil well data; and the first functional relation determining module is used for carrying out data fitting on the historical oil well data to determine a first functional relation between the accumulated gas injection quantity and the accumulated mixed oil production.
In one possible design, the gas-oil ratio determining module 701 is specifically configured to: determining an average gas injection rate of the injected oil well in the historical time period according to the largest first accumulated gas injection rate in the plurality of first accumulated gas injection rates; determining average mixed oil yield of the oil well after gas injection in the historical preset time period according to the largest first accumulated mixed oil yield in the plurality of first accumulated mixed oil yields; and determining the gas-oil ratio corresponding to the oil well data in the prediction time period according to the average mixed oil yield and the average gas injection amount, wherein the gas-oil ratio corresponding to the oil well data in the prediction time period is the ratio of the average gas injection amount to the average mixed oil yield.
In one possible design, the first functional relationship is: lnG P ＝A+BN P The method comprises the steps of carrying out a first treatment on the surface of the Wherein N is P For the mixed oil production, G P For the accumulated gas injection, A is the intercept, and B is the slope; the oil production determining module 702 is specifically configured to: to the instituteThe first functional relation performs time derivation to obtain a first formula, wherein the first formula is as follows:taking the derivative of the accumulated gas injection amount over time in the first formula as the average gas injection amount, and recording as +.>Taking the derivative of the cumulative mixed oil yield over time in the first formula as the average mixed oil yield, denoted +.>Performing equality transformation on the first formula to obtain a second formula containing the gas-oil ratio corresponding to the oil well data in the prediction time period, wherein the gas-oil ratio corresponding to the oil well data in the prediction time period is as follows: />The second formula is: />The second formula is a formula of the accumulated gas injection amount; obtaining a second accumulated gas injection amount of the injected oil well in the prediction time period according to a formula of the gas-oil ratio, the slope and the accumulated gas injection amount corresponding to the oil well data in the prediction time period, wherein the second accumulated gas injection amount is as follows: />Obtaining a formula of the accumulated mixed oil yield according to the second formula and the first functional relation, wherein the formula of the accumulated mixed oil yield is as follows: / >Obtaining the injection in the predicted time period according to the formulas of the gas-oil ratio, the intercept, the slope and the accumulated mixed oil yield corresponding to the oil well data in the predicted time periodAnd after the gas, the second accumulated mixed oil yield of the oil well is:
in one possible design, the well dynamic reserves determination module 703 is specifically configured to: acquiring accumulated oil production of the oil well before gas injection in the predicted time period; and determining the dynamic reserve of the oil well in the prediction time period according to the accumulated oil yield of the oil well before gas injection in the prediction time period, the second accumulated mixed oil yield of the oil well after gas injection in the prediction time period and the preset recovery ratio.
In one possible design, the apparatus further comprises: a gas-oil ratio limit value determining module and an oil well limit dynamic reserve determining module; the gas-oil ratio limit value determining module is configured to determine, after the determining of the dynamic reserve of the oil well in the predicted time period, a gas-oil ratio limit value corresponding to oil well data in the predicted time period according to a second accumulated gas injection amount of the oil well injected in the predicted time period, a second accumulated mixed oil production amount of the oil well produced after gas injection in the predicted time period, and the first functional relationship through iterative calculation; the oil well limit dynamic reserve determining module is used for determining oil well limit dynamic reserve according to the gas-oil ratio limit value and the first functional relation, and the oil well limit dynamic reserve is used for representing the maximum effective value of the oil well dynamic reserve or oil yield.
In order to realize the method for predicting the dynamic reserve of the oil well, the embodiment provides equipment for predicting the dynamic reserve of the oil well. Fig. 8 is a schematic structural diagram of an apparatus for predicting dynamic reserves of an oil well according to an embodiment of the present application. As shown in fig. 8, the oil well dynamic reserve prediction apparatus 80 of the present embodiment includes: a processor 801 and a memory 802; wherein, the memory 802 is used for storing computer execution instructions; a processor 801 for executing computer-executable instructions stored in a memory to perform the steps performed in the above embodiments. Reference may be made in particular to the relevant description of the embodiments of the method described above.
The embodiment of the application also provides a computer readable storage medium, wherein computer execution instructions are stored in the computer readable storage medium, and when a processor executes the computer execution instructions, the method for predicting the dynamic reserve of the oil well is realized.
In practical application, the computer used in the embodiment of the application is provided with two computersE5-2620v4CPU processor, the CPU main frequency is 2.10GHZ,20M cache, 8 core 16 thread, and 128G DDR4 memory is configured, the main frequency is 2133MHz. In this embodiment, two NVIDIA TITAN X GPUs are used to accelerate model training, TITAN X is composed of 3584 NVIDIA- >The core drive, the operating frequency reaches 1.5GHz; it also adopts storm algorithm, and its floating point operation capability is up to 11 trillion times per second. In addition, it is equipped with 12GB GDDR5X video memory.
The operating system adopted by the embodiment of the application is Ubuntu 16.04LTS (Xenial Xerus), and the system is based on a Linux 4.4 kernel version supported for a long time. The programming language adopted is python, which is a simple, efficient and easy-to-use language, and is commonly used for deep learning development. The deep learning framework used is Pytorch, which is used to build convolutional neural networks. Other auxiliary libraries include numpy, matplotlib, openCV, etc. The front end of the road surface repair detection system is realized by using HTML5, CSS3 and JavaScript technology, a frame adopts Bootstrap, and a rear end development frame adopts Django.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple modules may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or modules, which may be in electrical, mechanical, or other forms. In addition, each functional module in the embodiments of the present application may be integrated in one processing unit, or each module may exist alone physically, or two or more modules may be integrated in one unit. The units formed by the modules can be realized in a form of hardware or a form of hardware and software functional units.
The integrated modules, which are implemented in the form of software functional modules, may be stored in a computer readable storage medium. The software functional module is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (english: processor) to perform some of the steps of the methods according to the embodiments of the application. It should be understood that the above processor may be a central processing unit (english: central Processing Unit, abbreviated as CPU), or may be other general purpose processors, digital signal processors (english: digital Signal Processor, abbreviated as DSP), application specific integrated circuits (english: application Specific Integrated Circuit, abbreviated as ASIC), or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present application may be embodied directly in a hardware processor for execution, or in a combination of hardware and software modules in a processor for execution.
The memory may comprise a high-speed RAM memory, and may further comprise a non-volatile memory NVM, such as at least one magnetic disk memory, and may also be a U-disk, a removable hard disk, a read-only memory, a magnetic disk or optical disk, etc. The bus may be an industry standard architecture (Industry Standard Architecture, ISA) bus, an external device interconnect (Peripheral Component, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, the buses in the drawings of the present application are not limited to only one bus or to one type of bus. The storage medium may be implemented by any type or combination of volatile or nonvolatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an application specific integrated circuit (Application Specific Integrated Circuits, ASIC for short). It is also possible that the processor and the storage medium reside as discrete components in an electronic device or a master device.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the method embodiments described above may be performed by hardware associated with program instructions. The foregoing program may be stored in a computer readable storage medium. The program, when executed, performs steps including the method embodiments described above; and the aforementioned storage medium includes: various media that can store program code, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the application.

Claims (12)

1. A method for predicting dynamic reserves of an oil well, comprising:
determining a gas-oil ratio corresponding to oil well data in a predicted time period according to historical oil well data, wherein the historical oil well data comprises a plurality of first accumulated gas injection amounts injected into an oil well in a historical preset time period and a plurality of first accumulated mixed oil production amounts produced by the oil well after gas injection in the historical preset time period, and the gas-oil ratio is used for evaluating gas injection huff-puff well efficiency;
determining a second cumulative mixed oil yield of the oil well after gas injection in a predicted time period based on a first functional relationship and a gas-oil ratio corresponding to oil well data in the predicted time period, wherein the first functional relationship is determined according to the plurality of first cumulative gas injection amounts and the plurality of first cumulative mixed oil yields;
determining the dynamic reserve of the oil well in the predicted time period according to the second accumulated mixed oil yield;
wherein the first functional relationship is: lnG P ＝A+BN P The method comprises the steps of carrying out a first treatment on the surface of the Wherein N is P For the mixed oil production, G P For the accumulated gas injection, A is the intercept, and B is the slope;
the determining, based on the first functional relation and the gas-oil ratio corresponding to the oil well data in the predicted time period, the second cumulative mixed oil production of the oil well after gas injection in the predicted time period includes:
Conducting time derivation on the first functional relation to obtain a first formula, wherein the first formula is as follows:
taking the derivative of the accumulated gas injection amount in time in the first formula as the average gas injection amount, and recording as
Taking the derivative of the accumulated mixed oil yield in time in the first formula as the average mixed oil yield, and recording as
Performing equality transformation on the first formula to obtain a second formula containing the gas-oil ratio corresponding to the oil well data in the prediction time period, wherein the gas-oil ratio corresponding to the oil well data in the prediction time period is as follows:the second formula is: />The second formula is a formula of the accumulated gas injection amount;
obtaining a second accumulated gas injection amount of the injected oil well in the prediction time period according to a formula of the gas-oil ratio, the slope and the accumulated gas injection amount corresponding to the oil well data in the prediction time period, wherein the second accumulated gas injection amount is as follows:
obtaining a formula of the accumulated mixed oil yield according to the second formula and the first functional relation, wherein the formula of the accumulated mixed oil yield is as follows:
obtaining a second accumulated mixed oil yield of the oil well after gas injection in the prediction time period according to a formula of the oil well data corresponding to the gas-oil ratio, the intercept, the slope and the accumulated mixed oil yield in the prediction time period, wherein the second accumulated mixed oil yield is:
2. The method of claim 1, wherein prior to said determining a gas-oil ratio corresponding to well data over a predicted period of time based on historical well data, the method further comprises:
collecting historical oil well data;
data fitting is performed on the historical well data to determine a first functional relationship between the cumulative gas injection and the cumulative mixed oil production.
3. The method of claim 2, wherein determining a gas-oil ratio corresponding to the well data for the predicted time period based on the historical well data comprises:
determining an average gas injection rate of the injected oil well in the historical time period according to the largest first accumulated gas injection rate in the plurality of first accumulated gas injection rates;
determining average mixed oil yield of the oil well after gas injection in the historical preset time period according to the largest first accumulated mixed oil yield in the plurality of first accumulated mixed oil yields;
and determining the gas-oil ratio corresponding to the oil well data in the prediction time period according to the average mixed oil yield and the average gas injection amount, wherein the gas-oil ratio corresponding to the oil well data in the prediction time period is the ratio of the average gas injection amount to the average mixed oil yield.
4. A method according to any one of claims 1-3, wherein said determining the dynamic reserve of the well for said predicted period of time based on said second cumulative mixed oil production comprises:
acquiring accumulated oil production of the oil well before gas injection in the predicted time period;
and determining the dynamic reserve of the oil well in the prediction time period according to the accumulated oil yield of the oil well before gas injection in the prediction time period, the second accumulated mixed oil yield of the oil well after gas injection in the prediction time period and the preset recovery ratio.
5. The method of claim 4, further comprising, after said determining the dynamic reserve of the well for the predicted period of time:
according to the second accumulated gas injection amount injected into the oil well in the prediction time period, the second accumulated mixed oil production amount produced by the oil well after gas injection in the prediction time period and the first functional relation, determining a gas-oil ratio limit value corresponding to oil well data in the prediction time period through iterative calculation;
and determining an oil well limit dynamic reserve according to the gas-oil ratio limit value and the first functional relation, wherein the oil well limit dynamic reserve is used for representing the maximum effective value of the oil well dynamic reserve or produced oil quantity.
6. A device for predicting dynamic reserves of an oil well, comprising:
the gas-oil ratio determining module is used for determining a gas-oil ratio corresponding to oil well data in a predicted time period according to historical oil well data, wherein the historical oil well data comprises a plurality of first accumulated gas injection amounts injected into an oil well in a historical preset time period and a plurality of first accumulated mixed oil production amounts produced by the oil well after gas injection in the historical preset time period, and the gas-oil ratio is used for evaluating gas injection huff-puff well efficiency;
the oil production determining module is used for determining a second accumulated mixed oil production of the oil well after gas injection in the prediction time period based on a first functional relation and an air-oil ratio corresponding to oil well data in the prediction time period, wherein the first functional relation is determined according to the plurality of first accumulated gas injection amounts and the plurality of first accumulated mixed oil production;
the oil well dynamic reserve determining module is used for determining the oil well dynamic reserve in the prediction time period according to the second accumulated mixed oil production;
wherein the first functional relationship is: lnG P ＝A+BN P The method comprises the steps of carrying out a first treatment on the surface of the Wherein N is P For the mixed oil production, G P For the accumulated gas injection, A is the intercept, and B is the slope;
The oil production determining module is specifically configured to:
conducting time derivation on the first functional relation to obtain a first function relationA formula, the first formula is:
taking the derivative of the accumulated gas injection amount in time in the first formula as the average gas injection amount, and recording as
Taking the derivative of the accumulated mixed oil yield in time in the first formula as the average mixed oil yield, and recording as
Performing equality transformation on the first formula to obtain a second formula containing the gas-oil ratio corresponding to the oil well data in the prediction time period, wherein the gas-oil ratio corresponding to the oil well data in the prediction time period is as follows:the second formula is: />The second formula is a formula of the accumulated gas injection amount;
obtaining a second accumulated gas injection amount of the injected oil well in the prediction time period according to a formula of the gas-oil ratio, the intercept and the accumulated gas injection amount corresponding to the oil well data in the prediction time period, wherein the second accumulated gas injection amount is as follows:
obtaining a formula of the accumulated mixed oil yield according to the second formula and the first functional relation, wherein the formula of the accumulated mixed oil yield is as follows:
obtaining a second accumulated mixed oil yield of the oil well after gas injection in the prediction time period according to a formula of the oil well data corresponding to the gas-oil ratio, the intercept, the slope and the accumulated mixed oil yield in the prediction time period, wherein the second accumulated mixed oil yield is:
7. The apparatus of claim 6, wherein the apparatus further comprises: the system comprises a historical data acquisition module and a first functional relation determination module;
the historical data acquisition module is used for acquiring historical oil well data before determining the gas-oil ratio corresponding to the oil well data in the prediction time period according to the historical oil well data;
and the first functional relation determining module is used for carrying out data fitting on the historical oil well data to determine a first functional relation between the accumulated gas injection quantity and the accumulated mixed oil production.
8. The device according to claim 7, wherein the gas-oil ratio determining module is specifically configured to:
determining an average gas injection rate of the injected oil well in the historical time period according to the largest first accumulated gas injection rate in the plurality of first accumulated gas injection rates;
determining average mixed oil yield of the oil well after gas injection in the historical preset time period according to the largest first accumulated mixed oil yield in the plurality of first accumulated mixed oil yields;
and determining the gas-oil ratio corresponding to the oil well data in the prediction time period according to the average mixed oil yield and the average gas injection amount, wherein the gas-oil ratio corresponding to the oil well data in the prediction time period is the ratio of the average gas injection amount to the average mixed oil yield.
9. The apparatus according to any one of claims 6-8, wherein the well dynamic reserve determination module is specifically configured to:
acquiring accumulated oil production of the oil well before gas injection in the predicted time period;
and determining the dynamic reserve of the oil well in the prediction time period according to the accumulated oil yield of the oil well before gas injection in the prediction time period, the second accumulated mixed oil yield of the oil well after gas injection in the prediction time period and the preset recovery ratio.
10. The apparatus of claim 9, wherein the apparatus further comprises: a gas-oil ratio limit value determining module and an oil well limit dynamic reserve determining module;
the gas-oil ratio limit value determining module is configured to determine, after the determining of the dynamic reserve of the oil well in the predicted time period, a gas-oil ratio limit value corresponding to oil well data in the predicted time period according to a second accumulated gas injection amount of the oil well injected in the predicted time period, a second accumulated mixed oil production amount of the oil well produced after gas injection in the predicted time period, and the first functional relationship through iterative calculation;
the oil well limit dynamic reserve determining module is used for determining oil well limit dynamic reserve according to the gas-oil ratio limit value and the first functional relation, and the oil well limit dynamic reserve is used for representing the maximum effective value of the oil well dynamic reserve or oil yield.
11. An apparatus for predicting dynamic reserves of an oil well, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing computer-executable instructions stored in the memory causes the at least one processor to perform the method of predicting dynamic reserves of an oil well as claimed in any one of claims 1 to 5.
12. A computer readable storage medium having stored therein computer executable instructions which when executed by a processor implement the method of predicting dynamic reserves of an oil well as claimed in any one of claims 1 to 5.
CN201910489994.0A 2019-06-06 2019-06-06 Method, device, equipment and storage medium for predicting dynamic reserve of oil well Active CN112127877B (en)

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