Oil field production data return method and device, electronic equipment and storage medium

By calculating the daily output of each well and the relocation coefficient of the target platform, the relocation output of each well is determined, and the problems of complex algorithms and insufficient data accuracy of the oil field output relocation work in the existing technology are solved, and accurate and efficient relocation of oil field production data is achieved.

CN120163309APending Publication Date: 2025-06-17PETROCHINA CO LTD
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Patent Information

Application Number
CN202311725241.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-12-14
Publication Date
2025-06-17

AI Technical Summary

Technical Problem

The existing oilfield production relocation work has problems such as complex algorithms, difficulty in troubleshooting problems, limited data capacity, difficult to share and re-apply, resulting in insufficient accuracy of relocation data and affecting work efficiency.

Method used

By obtaining the test output, single well parameter data and daily tank oil volume data of each well, the daily production of each well is calculated, and the relocation coefficient is calculated based on the daily tank oil volume data and total daily production of the target platform to determine the relocation output of each well.

Benefits of technology

It realizes accurate and efficient redistribution of oil field production data, ensures the accuracy of calculations, reduces workload, saves development costs, improves work efficiency, and provides support for oil field development adjustment and production operation decisions.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to an oil field production data return method and device, electronic equipment and a storage medium, and relates to the technical field of oil field development. The oil field production data redistribution method comprises the steps that the test yield, single well parameter data and daily tank oil measuring data of a first substance of each well in a target platform are obtained; according to the test yield and the single well parameter data, the daily yield of the first substance of each well is obtained through calculation; adding the daily yields of all wells in the target platform to obtain the total daily yield of the first substance in the target platform; based on the daily tank oil measuring data and the total daily output of the target platform, calculating a target platform blending coefficient of the first substance; and according to the daily output of each well and the return distribution coefficient of the target platform, determining the return distribution output of the first substance of each well. According to the return distribution method, the accuracy of oil field production data return distribution can be guaranteed, the workload is reduced, the development cost is saved, the working efficiency is improved, and support is provided for oil field development adjustment and production operation decision making.
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Description

Technical Field

[0001] The present invention relates to the technical field of oilfield development, and in particular, to a method, device, electronic device, and storage medium for back-allocation of oilfield production data. Background Art

[0002] The pressure of production wells in offshore oilfields is mostly monitored in real time. For production test data such as the liquid production volume, oil production volume, and water cut of a single well, the recording frequency varies according to the single-well test cycle of the platform. For wells that have not been tested, only the previous test data can be borrowed. With the long-term development of the oilfield, the number of production wells is increasing, and the workload of production testing is increasing year by year, requiring a large amount of manpower, material resources, and financial resources to support this work. At the same time, due to the excessive number of oil wells in the oilfield, it is impossible to conduct daily production tests on each oil well, affecting the timeliness of production decisions and the accuracy of dynamic analysis.

[0003] Currently, most of the existing oilfield production back-allocation work is completed by using EXCEL macro calculations, which have problems such as complex algorithms, difficult problem troubleshooting, data exceeding the limit total, difficult sharing and reapplication, etc., thus unable to ensure the accuracy of the back-allocated data and affecting work efficiency.

[0004] Therefore, in order to improve the accuracy of oilfield production data back-allocation, improve work efficiency, and save development costs, it has become an urgent technical problem to propose a high-accuracy and high-efficiency back-allocation method. Summary of the Invention

[0005] In view of this, the present invention provides a method capable of accurately and efficiently back-allocating oilfield production data.

[0006] Specifically, the present invention is implemented through the following technical solutions:

[0007] According to a first aspect of the present invention, there is provided a method for back-allocation of oilfield production data, including obtaining the test production volume, single-well parameter data, and daily tank oil measurement data of each well in a target platform in a target area; calculating the daily production volume of the first substance of each well according to the test production volume and single-well parameter data; adding up the daily production volumes of all wells in the target platform to obtain the total daily production volume of the first substance in the target platform; calculating the target platform back-allocation coefficient of the first substance based on the daily tank oil measurement data and the total daily production volume of the target platform; and determining the back-allocation production volume of the first substance of each well according to the daily production volume of each well and the target platform back-allocation coefficient.

[0008] In some embodiments, the first substance includes oil, gas, or water, and the daily tank oil measurement data includes the total daily production volume of the first substance of each platform in different platforms.

[0009] In some embodiments, the step of calculating the daily production of the first substance for each well based on the test production and single-well parameter data specifically includes: calculating the productivity index of the first substance for each well according to the test production and single-well parameter data of each well, and calculating the daily production of the first substance for each well based on the productivity index of each well.

[0010] In some embodiments, the single-well parameter data includes interpolated reservoir pressure, bottom-hole flowing pressure, current reservoir pressure, and current bottom-hole flowing pressure. The test production, single-well parameter data, and productivity index satisfy the following relationship:

[0011] Productivity index = Test production / (Interpolated reservoir pressure - Bottom-hole flowing pressure);

[0012] The productivity index and the daily production satisfy the following relationship:

[0013] Daily production = Productivity index × (Current reservoir pressure - Current bottom-hole flowing pressure).

[0014] In some embodiments, the single-well parameter data includes test frequency and current frequency. The test production, single-well parameter data, and productivity index satisfy the following relationship:

[0015] Productivity index = Test production / Test frequency;

[0016] The productivity index and the daily production satisfy the following relationship:

[0017] Daily production = Productivity index × Current frequency.

[0018] In some embodiments, the daily tank gauging data, total daily production, and target platform back-allocation coefficient of the first substance of the target platform satisfy the following relationship:

[0019] Target platform back-allocation coefficient of the first substance = Daily total production of the first substance of the target platform / Total daily production.

[0020] In some embodiments, the daily production, target platform back-allocation coefficient, and back-allocation production satisfy the following relationship:

[0021] Back-allocation production = Daily production × Target platform back-allocation coefficient.

[0022] According to a second aspect of the present invention, a device for backfeeding oilfield production data is provided. The device includes: an acquisition unit configured to acquire the test production volume of a first substance, single-well parameter data, and daily tank oil measurement data for each well in a target platform in a target area; a calculation unit configured to calculate the daily production volume of the first substance for each well based on the test production volume and the single-well parameter data, add up the daily production volumes of all wells in the target platform to obtain the total daily production volume of the first substance in the target platform, calculate a backfeeding coefficient of the target platform for the first substance based on the daily tank oil measurement data and the total daily production volume of the target platform, and determine the backfeeding production volume of the first substance for each well according to the daily production volume of each well and the backfeeding coefficient of the target platform.

[0023] According to a third aspect of the present invention, an electronic device is provided, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, it implements the steps of the method for backfeeding oilfield production data in the first aspect or any possible implementation manner of the first aspect.

[0024] According to a fourth aspect of the present invention, a storage medium is provided, on which a computer program is stored. When the program is executed by a processor, it implements the steps of the method for backfeeding oilfield production data in the first aspect or any possible implementation manner of the first aspect.

[0025] The technical solution provided by the present invention at least brings the following beneficial effects: By calculating the ratio of the daily tank oil measurement data of the platform to the total daily production volume of oil, gas, and water calculated among different wells in the platform, the backfeeding coefficients of oil, gas, and water in different platforms are respectively calculated, so as to obtain the actual production volumes of oil, gas, and water in each well, that is, the backfeeding production volumes, thereby realizing the backfeeding of production data without frequent testing, obtaining the actual daily production volumes of single-well oil, gas, and water, ensuring the accuracy of the calculation, reducing the workload, saving the development cost, improving the work efficiency, and providing support for oilfield development adjustment and production operation decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The accompanying drawings herein are incorporated into the specification and constitute a part of the specification, showing embodiments consistent with the present invention, and are used together with the specification to explain the principles of the present invention.

[0027] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the related art, the following will briefly introduce the accompanying drawings required for use in the description of the embodiments or the related art. Obviously, for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0028] Figure 1 It is a schematic flowchart of the method for backfeeding oilfield production data provided in the first embodiment of the present invention;

[0029] Figure 2 Schematic flow diagram of the method for back-allocation of oilfield production data provided in the second embodiment of the present invention;

[0030] Figure 3 Comparison result of back-allocation output and test output data provided in an embodiment of the present invention;

[0031] Figure 4 Block diagram of the back-allocation device for oilfield production data provided in an embodiment of the present invention;

[0032] Figure 5 Block diagram of the electronic device provided in an embodiment of the present invention.

[0033] Among them, Figure 4 and Figure 5 The corresponding relationship between the reference numerals and component names in the drawings is as follows:

[0034] 1 Back-allocation device for oilfield production data, 10 Acquisition unit, 12 Calculation unit, 2 Electronic device, 20 Memory, 22 Processor. Detailed implementation manners

[0035] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some but not all of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0036] Refer to Figure 1 , the embodiments of the present invention provide a method for back-allocation of oilfield production data, and the method may include the following steps:

[0037] S102. Obtain the test output, single-well parameter data, and daily tank oil measurement data of the first substance for each well in the target platform of the target area;

[0038] S104. Calculate the daily output of the first substance for each well according to the test output and single-well parameter data;

[0039] S106. Add up the daily outputs of all wells in the target platform to obtain the total daily output of the first substance in the target platform;

[0040] S108. Calculate the back-allocation coefficient of the target platform for the first substance based on the daily tank oil measurement data and the total daily output of the target platform;

[0041] S110. Determine the back-allocation output of the first substance for each well according to the daily output of each well and the back-allocation coefficient of the target platform.

[0042] According to the method for back-allocation of oilfield production data provided by the present invention, the test production refers to the production measured by any single well actually entering the test separator. Since a single well is not tested every day and may be tested only once a week, it is necessary to back-allocate the actual daily production of oil, gas, and water based on the test production. That is to say, the test production and the back-allocated production are the production obtained by two different methods. The test production is for discontinuous days and may be tested at intervals. While the back-allocated production is for continuous days and can be used for production data analysis. The back-allocated production is calculated based on the test production.

[0043] Furthermore, there are multiple different platforms in the target oilfield area of this application, and there are multiple wells in each platform. The daily tank oil measurement data is the data actually measured from the storage tank and can be understood as the actual total production of all wells in a certain platform. By calculating the daily production of the first substance of each well in the platform, and then according to the ratio of the daily tank oil measurement data of the platform to the total daily production of the first substance calculated among different wells, the back-allocation coefficient of the first substance of the platform is calculated, so as to obtain the actual production of the first substance in each well, that is, the back-allocated production. Thus, the back-allocation of production data without frequent testing is realized, the actual daily production of a single well is obtained, the accuracy of calculation is guaranteed, the workload is reduced, the development cost is saved, the work efficiency is improved, and support is provided for oilfield development adjustment and production operation decision-making.

[0044] In the above embodiment, the first substance includes oil, gas, or water, and the daily tank oil measurement data includes the total daily production of the first substance of each platform in different platforms.

[0045] In this embodiment, through the back-allocation method of the present invention, the actual production of oil, gas, and water of different wells in any platform can be back-allocated. Specifically, the daily tank oil measurement data includes the total daily production of oil, gas, and water of each treatment process of different platforms every day. When calculating the back-allocated production of oil of a certain well in a certain platform, according to the test production of oil of each well in the platform and the single well parameter data, the daily production of oil of each well is obtained, and then the daily production of oil of all wells in the platform is accumulated to obtain the total daily production of oil. The total daily production of oil of the platform is obtained from the daily tank oil measurement data, and the total daily production of oil calculated, the back-allocation coefficient of oil of the platform is calculated, and then according to the back-allocation coefficient of oil of the platform and the daily production of oil of a certain well corresponding to the platform, the back-allocated production of oil of this well can be determined. Similarly, based on the same calculation method, the back-allocated production of water and gas of any well in the platform can also be calculated.

[0046] In some embodiments, the step of calculating the daily production of the first substance for each well based on the test production and single-well parameter data specifically includes: calculating the production index of the first substance for each well according to the test production and single-well parameter data of each well, and calculating the daily production of the first substance for each well based on the production index of each well.

[0047] In some embodiments, the single-well parameter data includes interpolated reservoir pressure, bottom-hole flowing pressure, current-day reservoir pressure, and current-day bottom-hole flowing pressure. The test production, single-well parameter data, and production index satisfy the following relationship:

[0048] Production index = test production / (interpolated reservoir pressure - bottom-hole flowing pressure);

[0049] The production index and the daily production satisfy the following relationship:

[0050] Daily production = production index × (current-day reservoir pressure - current-day bottom-hole flowing pressure).

[0051] In this embodiment, the interpolated reservoir pressure refers to the pressure interpolated from the static well pressure. The static well pressure refers to the pressure that recovers after the well is shut in. First, it rises and then returns to the pressure that balances with the formation pressure. Therefore, the static well pressure generally also refers to the pressure of the formation exploited by this well. To obtain this pressure, the well generally needs to be shut in for 3 - 5 days. So, there are only a few static pressure data for a well in a year because shutting in the well will affect production. However, when calculating the single-well production index, production pressure difference data is required. Production pressure difference = static pressure - flowing pressure. Since there is little static pressure data, interpolation is needed. In fact, when not measured, the static pressure uses the pressure recovered from the previous pressure recovery. The interpolated reservoir pressure actually refers to the interpolated static pressure data.

[0052] The bottom-hole flowing pressure refers to the bottom-hole flowing pressure on the day when the well is introduced into the test separator, which can be understood as the test bottom-hole flowing pressure.

[0053] The current-day reservoir pressure refers to the static pressure when not being tested, which also borrows the data during the pressure recovery of the shut-in well. In fact, it is the same value as the interpolated reservoir pressure.

[0054] The current-day bottom-hole flowing pressure refers to the bottom-hole flowing pressure on the day of back-allocation, that is, the flowing pressure during normal production. The bottom-hole flowing pressure is tested in real time and is available every day.

[0055] In some embodiments, the single-well parameter data includes test frequency and current-day frequency. The test production, single-well parameter data, and production index satisfy the following relationship:

[0056] Production index = test production / test frequency;

[0057] The production index and the daily production satisfy the following relationship:

[0058] Daily production = Production index × Daily frequency.

[0059] In this embodiment, the test frequency refers to the frequency when the oil well is introduced into the test separator during the test, which is the test frequency. The daily frequency is the frequency on the day of the back-allocation data, that is, the normal production frequency of the oil well, and the frequency data is available in real time for each well.

[0060] In some embodiments, the daily tank oil volume data, total daily production, and back-allocation coefficient of the target platform for the first substance satisfy the following relationship:

[0061] Back-allocation coefficient of the target platform for the first substance = Daily total production of the first substance on the target platform / Total daily production.

[0062] In this embodiment, when determining the back-allocation coefficient of oil, water, or gas on a certain platform, the actual daily production of oil, water, or gas on the platform is obtained through the daily tank oil volume data of the platform, and combined with the calculated total daily production of oil, water, or gas in different wells on the platform, thereby the back-allocation coefficient of oil, water, or gas on the platform can be obtained.

[0063] In some embodiments, the daily production, back-allocation coefficient of the target platform, and back-allocation production satisfy the following relationship:

[0064] Back-allocation production = Daily production × Back-allocation coefficient of the target platform.

[0065] In this embodiment, the back-allocation production of each well is calculated based on the calculated daily production of the well and the back-allocation coefficient of the platform where the well is located. For example, an oilfield in a target area includes multiple platforms, such as Platform A, Platform B, and Platform C, and there are multiple wells in each platform, such as Well A1, Well A2, Well A3, and Well A4, and each well has oil production, gas production, and water production. When calculating the back-allocation production of oil in Well A1 on a certain day, it is obtained by multiplying the back-allocation coefficient of oil on Platform A and the calculated daily production of Well A1, so that it is not necessary to frequently test each well, improving work efficiency and providing support for oilfield development adjustment and production operation decision-making.

[0066] Further, when determining the back-allocation coefficient of oil on Platform A, it is necessary to obtain the actual oil production on Platform A on the back-allocation day according to the daily tank oil volume data, and calculate the back-allocation coefficient of oil on Platform A based on the sum of the daily production calculated from Well A1, Well A2, Well A3, and Well A4.

[0067] As Figure 2 shown, the embodiment of the present invention provides a method for back-allocation of oilfield production data, and the method may include the following steps:

[0068] S202. Single-well pressure calculation (flow pressure, static pressure);

[0069] S204, Single well production index calculation (PI);

[0070] S206, Single well production calculation (oil, gas, water);

[0071] S208, Single well daily total (oil, gas, water);

[0072] S210, Calculate the oil reallocation coefficient, gas reallocation coefficient, and water reallocation coefficient of Platform A based on the total oil production, total oil production, total oil production of Platform A, and the single well daily total (oil, gas, water). Calculate the oil reallocation coefficient, gas reallocation coefficient, and water reallocation coefficient of Platform B based on the total oil production, total oil production, total oil production of Platform B, and the single well daily total (oil, gas, water);

[0073] S212, Single well production reallocation calculation for Platform A and single well production reallocation calculation for Platform B;

[0074] S214, End-of-month reallocated production correction.

[0075] According to the method for back-allocation of oilfield production data provided by the present invention, the single-well pressure is calculated based on the flowing pressure and static pressure data in the well, and the single-well production index is obtained according to the single-well pressure calculation. A single well can refer to any well in the target area. Then, the single-well production is calculated based on the single-well production index. The single-well production includes the single-well oil production, single-well gas production, and single-well water production. Then, the daily totals of all wells in the target area are calculated respectively, that is, the calculated production of all single wells is accumulated to obtain the daily oil total, daily gas total, and daily water total of all wells in the target area. The total oil production, total gas production, and total water production of each treatment process on each platform every day are obtained by using the daily tank oil measurement data. For example, the total oil production, total gas production, and total water production of Platform A, and the total oil production, total gas production, and total water production of Platform B. According to the daily oil total, daily gas total, and daily water total of all wells in Platform A, the oil back-allocation coefficient, gas back-allocation coefficient, and water back-allocation coefficient of Platform A are calculated. According to the daily oil total, daily gas total, and daily water total of all wells in Platform B, the oil back-allocation coefficient, gas back-allocation coefficient, and water back-allocation coefficient of Platform B are calculated. And according to the single-well oil production, single-well gas production, and single-well water production of each well in Platform A, combined with the oil back-allocation coefficient, gas back-allocation coefficient, and water back-allocation coefficient of Platform A, the single-well oil back-allocation production, single-well gas back-allocation production, and single-well water back-allocation production of each well in Platform A are calculated respectively. And according to the single-well oil production, single-well gas production, and single-well water production of each corresponding well in Platform B, combined with the oil back-allocation coefficient, gas back-allocation coefficient, and water back-allocation coefficient of Platform B, the single-well oil back-allocation production, single-well gas back-allocation production, and single-well water back-allocation production of each well in Platform B are calculated respectively. At the end of the month, the production back-allocation is corrected according to the sold volume. By calculating the ratios of the daily tank oil measurement data to the daily production totals of oil, gas, and water among different wells in the platform, the back-allocation coefficients of oil, gas, and water for different platforms are calculated respectively, so as to obtain the actual production of oil, gas, and water in each well of any platform, realize the back-allocation of production data without frequent testing, obtain the actual daily production of each well, ensure the accuracy of calculation, reduce the workload, save the development cost, improve the work efficiency, and provide support for the oilfield development adjustment and production operation decision-making.

[0076] According to the method for back-allocation of oilfield production data provided by the present invention, through the daily tank oil measurement data, the total oil production, total gas production, and total water production of each treatment process on each platform every day are obtained, and then by calculating the pressure and single-well production index and using the single-well test data, the daily oil, gas, and water production of a single well is calculated.

[0077] By calculating the ratios of the tank oil measurement and the total single-well production, the back-allocation coefficients of different platforms are calculated respectively. The back-allocation coefficients are multiplied by the daily production of each well to obtain the back-allocation volume. At the end of the month, the production back-allocation is corrected according to the sold oil volume.

[0078] The specific index calculation is as follows:

[0079] 1) Single-well production index calculation

[0080] If there is downhole sensor data (including real-time data such as pressure and frequency), the single-well production index = test production / (interpolated reservoir pressure - bottom-hole flowing pressure).

[0081] If there is no downhole sensor data, the single-well production index = test production data / test frequency.

[0082] 2) Calculation of single-well daily production

[0083] If there is downhole sensor data, the single-well daily production = single-well production index × (reservoir pressure on the day - bottom-hole flowing pressure on the day).

[0084] If there is no downhole sensor data, the single-well daily production = single-well production index × frequency on the day.

[0085] 3) Calculation of total daily production

[0086] The total daily production of different platforms = the sum of the single-well daily production of different platforms.

[0087] 4) Platform production back-allocation coefficient

[0088] The platform production back-allocation coefficient = platform daily tank gauging data / total daily oil production calculated for the platform.

[0089] 5) Single-well back-allocated oil production

[0090] The single-well back-allocated oil production = calculated single-well oil production × back-allocation coefficient.

[0091] The present invention builds a file reading environment in the backend server, automatically extracts relevant data from the file, and cleans the data to remove incorrect data. The processed data is stored in different data tables in the database according to different file sources, preparing for the final back-allocation result.

[0092] On the front-end back-allocation interface, production data for a single day or a single month can be back-allocated as needed. Relevant data is queried and calculated in the database, and the results are presented on the front-end interface. Relevant personnel can view the data accuracy and, after confirmation, store the back-allocated production data in the database for use.

[0093] In a specific embodiment, according to the production data to be back-allocated on the desired day, such as July 15, 2023:

[0094] First step, copy the files required for daily back-allocation (the files include the production summary file, test data file, single-well hourly frequency and pressure file for each day) to the server;

[0095] Second step, execute the logic to extract the file data, and clean the data after extraction to ensure data stability and accuracy;

[0096] In the third step, the cleaned data is stored in the database. The data is saved in different data tables according to different categories. After storage, preliminary integration processing is performed on the data. The hourly frequency and pressure of each single well per day are aggregated into the average frequency and pressure of one day, and are connected with the online duration of the single well in the summary table to form a new data table for storage.

[0097] In the fourth step, when a date such as 2023-7-15 is selected at the front end, the background automatically starts the back-allocation calculation. Through the data tables stored in the previous three steps, the production back-allocation data for this day is calculated.

[0098] In the fifth step, after confirming that the back-allocation data is correct, the confirm data can be clicked, and the data will be stored in the production data table in the database.

[0099] As Figure 3 shown, Figure 3 shows the comparison result of the back-allocation production and the test production data. Through the comparison of the back-allocation production and the test production data, it is found that by using the production data back-allocation method provided by the present invention, the back-allocation production data and the test production data are basically the same. Thus, the production data back-allocation without frequent testing is realized, the actual daily production of a single well is obtained, error analysis is introduced, the accuracy of calculation is guaranteed, the workload is reduced, the development cost is saved, the work efficiency is improved, and support is provided for the adjustment of oilfield development and the decision-making of production operation.

[0100] Based on the same inventive concept, as Figure 4 shown, an embodiment of the present invention further provides a back-allocation device 1 for oilfield production data. The device includes: an acquisition unit 10, configured to acquire the test production, single well parameter data, and daily tank oil measurement data of each well in the target platform of the target area; a calculation unit 12, configured to calculate the daily production of the first substance of each well according to the test production and the single well parameter data; add up the daily production of all wells in the target platform to obtain the total daily production of the first substance in the target platform; calculate the back-allocation coefficient of the target platform of the first substance based on the daily tank oil measurement data and the total daily production of the target platform; and determine the back-allocation production of the first substance of each well according to the daily production of each well and the back-allocation coefficient of the target platform.

[0101] The specific implementation processes of the functions and roles of each module in the above device are specifically described in the implementation processes of the corresponding steps in the above method, and will not be elaborated here.

[0102] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to the partial descriptions of the method embodiments. The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of the present invention. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0103] Based on the same inventive concept, refer to Figure 5 , an embodiment of the present invention further provides an electronic device 2, including a memory 20 (such as a non-volatile memory), a processor 22, and a computer program stored on the memory 20 and executable on the processor 22. When the processor 22 executes the program, it implements the steps of the method for back-allocation of oilfield production data in any possible implementation manner, which is equivalent to the device for back-allocation of oilfield production data as described above. Of course, this processor can also be used to process other data or perform operations. The electronic device 2 can be a device such as a PC, a server, or a terminal.

[0104] The electronic device 2 generally may further include: a memory, a network interface, and an internal bus. In addition to these components, other hardware may also be included, which will not be elaborated here.

[0105] It should be noted that the above electronic device 2 can be implemented by software. As a logically meaningful device, it is formed by the processor 22 of the electronic device 2 where it is located reading the computer program instructions stored in the non-volatile memory 20 into the memory for operation.

[0106] Based on the same inventive concept, an embodiment of the present invention further provides a storage medium, on which a computer program is stored. When the program is executed by a processor, it implements the steps of the method for back-allocation of oilfield production data in any possible implementation manner.

[0107] Optionally, the storage medium can be a non-transitory computer-readable storage medium. For example, the non-transitory computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device, etc.

[0108] Based on the same inventive concept, an embodiment of the present invention further provides a computer program product, including a computer program. When the program is executed by a processor, it implements the steps of the method for back-allocation of oilfield production data in any possible implementation manner.

[0109] In an embodiment according to the present invention, the terms "first", "second", "third" are only used for descriptive purposes and should not be construed as indicating or implying relative importance; the term "plural" means two or more, unless otherwise clearly defined. Terms such as "installed", "connected", "joined", "fixed", etc. should be understood in a broad sense. For example, "connected" can be a fixed connection, a detachable connection, or an integral connection; "joined" can be a direct connection or an indirect connection through an intermediate medium. For those of ordinary skill in the art, the specific meanings of the above terms in the embodiments according to the present invention can be understood according to specific circumstances.

[0110] In addition, although the operations are depicted in a particular order, this should be understood to require that the operations be performed in the particular order shown or in a sequential order, or that all of the illustrated operations be performed to achieve the desired result. In certain circumstances, multitasking and parallel processing may be advantageous. Similarly, although a number of specific implementation details are included in the above discussion, these should not be construed as limiting the scope of the present invention. Certain features described in the context of separate embodiments may also be implemented in combination in a single implementation. Conversely, the various features described in the context of a single implementation may also be implemented separately or in any suitable subcombination in multiple implementations.

[0111] Although the subject matter has been described in language specific to structural features and / or methodological logical acts, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are merely example forms of implementing the claims.

[0112] The above are only preferred embodiments according to the embodiments of the present invention and are not used to limit the embodiments according to the present invention. For those skilled in the art, there can be various changes and modifications according to the embodiments of the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments according to the present invention shall be included within the protection scope of the embodiments according to the present invention.

Claims

1. A method for reallocation of oilfield production data, characterized in that, Including: Obtaining the test production, single - well parameter data, and daily tank oil - measurement data of the first substance for each well in the target platform of the target area; Calculating the daily production of the first substance for each well based on the test production and the single - well parameter data; Adding up the daily productions of all wells in the target platform to obtain the total daily production of the first substance in the target platform; Calculating the target - platform back - allocation coefficient of the first substance based on the daily tank oil - measurement data of the target platform and the total daily production; Determining the back - allocation production of the first substance for each well according to the daily production of each well and the target - platform back - allocation coefficient.

2. The method for reallocation of oilfield production data according to claim 1, characterized in that, The first substance includes oil, gas, or water, and the daily tank oil - measurement data includes the total daily production of the first substance for each platform among different platforms.

3. The method for reallocation of oilfield production data according to claim 2, characterized in that, The step of calculating the daily production of the first substance for each well according to the test production and the single - well parameter data specifically includes: Calculating the production index of the first substance for each well according to the test production and the single - well parameter data of each well, and calculating the daily production of the first substance for each well according to the production index of each well.

4. The method for reallocation of oilfield production data according to claim 3, characterized in that, The single - well parameter data includes interpolated reservoir pressure, bottom - hole flowing pressure, current reservoir pressure, and current bottom - hole flowing pressure. The test production, the single - well parameter data, and the production index satisfy the following relationship: Production index = test production / (interpolated reservoir pressure - bottom - hole flowing pressure); The production index and the daily production satisfy the following relationship: Daily production = production index × (current reservoir pressure - current bottom - hole flowing pressure).

5. The method for reallocation of oilfield production data according to claim 3, characterized in that, The single - well parameter data includes test frequency and current frequency. The test production, the single - well parameter data, and the production index satisfy the following relationship: Production index = test production / test frequency; The production index and the daily production satisfy the following relationship: Daily production = production index × current frequency.

6. The method for reallocation of oilfield production data according to claim 2, characterized in that, The daily tank oil - measurement data of the target platform, the total daily production, and the target - platform back - allocation coefficient of the first substance satisfy the following relationship: Target - platform back - allocation coefficient of the first substance = total daily production of the first substance of the target platform / total daily production.

7. The method for reallocation of oilfield production data according to any one of claims 1 to 6, characterized in that, The daily production, the target - platform back - allocation coefficient, and the back - allocation production satisfy the following relationship: Back - allocation production = daily production × target - platform back - allocation coefficient.

8. An apparatus for reallocation of oilfield production data, characterized in that, Including: An obtaining unit for obtaining the test production, single - well parameter data, and daily tank oil - measurement data of the first substance for each well in the target platform of the target area; A calculating unit for calculating the daily production of the first substance for each well according to the test production and the single - well parameter data; Adding up the daily productions of all wells in the target platform to obtain the total daily production of the first substance in the target platform; calculating the target - platform back - allocation coefficient of the first substance based on the daily tank oil - measurement data of the target platform and the total daily production; determining the back - allocation production of the first substance for each well according to the daily production of each well and the target - platform back - allocation coefficient.

9. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the back - allocation method for oil - field production data described in any one of claims 1 to 7.

10. A storage medium, on which a computer program is stored, characterized in that, When the computer program is executed by a processor, it implements the steps of the method for backfeeding oilfield production data described in any one of claims 1-7.