A method, system, device and storage medium for allocating production of a gas well in a tight gas reservoir

Abstract

The application discloses a kind of compact gas reservoir gas well production allocation method, system, equipment and storage medium, belong to gas reservoir development technical field.The first month average daily gas production of sample well and new well and the parameters such as the end of the first month of production are obtained, to realize the reasonable production allocation of gas well can save field test cost.Short-term use data and long-term use data of gas well are obtained, short-term production characteristics are combined with long-term stable production capacity, to reduce production allocation error (can effectively reduce the evaluation error under the condition of compact gas reservoir production fluctuation).The allocation relationship model is established by experimental data, the relevant parameters of sample well and new well are combined to obtain the average daily gas production prediction value of new well in previous years, to realize the reasonable production allocation of gas well, also improve work efficiency, the requirement of technical personnel changes from professional researcher to field operator, greatly improves the field popularization, and has better application prospect in gas reservoir development technical field.

Description

Technical Field

[0001] This invention belongs to the field of gas reservoir development technology and relates to a method, system, equipment and storage medium for gas well production in tight gas reservoirs. Background Technology

[0002] Gas well allocation is a crucial aspect of gas field development planning and on-site management, permeating every stage of reservoir development and impacting every gas reservoir and every producing well. For tight gas reservoirs, rational gas well allocation is not only fundamental for maximizing well production capacity and formulating capacity building plans, but also plays a vital role in improving recovery rates and economic benefits.

[0003] Currently, there are two main types of gas well production allocation. One type is based on production capacity testing data, evaluating reasonable production allocation through experience summarization, coordinated production capacity analysis, and rational energy utilization. This mainly includes the unobstructed flow rate allocation method, node analysis method, and gas production indicator curve method. This type of method is applicable to all stages of gas well production but relies on on-site production capacity testing. The other type is based on seepage theory, predicting reasonable gas well production allocation by fitting the gas well's production history. This mainly includes numerical simulation methods and production instability analysis methods. This type of method requires the gas well to have a long production history, therefore the evaluation results are lagging and require a high level of professional expertise from researchers.

[0004] For tight gas reservoirs, the application of existing well production allocation methods is limited, mainly for three reasons. First, tight gas reservoirs have poor reservoir properties and a large number of wells in production. Using methods such as unobstructed flow rate allocation, node analysis, and gas production indicator curves requires extensive production capacity testing, which is costly and can easily lead to natural gas venting and environmental pollution. Therefore, production capacity testing data is limited and cannot meet the needs for comprehensive and accurate evaluation of tight gas reservoirs. Second, in the absence of production capacity testing data, methods such as numerical simulation and production instability analysis typically yield relatively accurate evaluation results several years after the wells are put into production. This results are relatively delayed and cannot prevent the impact of unreasonable well production allocation on the final cumulative gas production. Third, existing methods require highly skilled technicians, making field promotion and application difficult. Summary of the Invention

[0005] The purpose of this invention is to solve the problem of unreasonable production allocation in tight gas reservoir wells in the prior art, and to provide a method, system, equipment and storage medium for production allocation in tight gas reservoir wells.

[0006] To achieve the above objectives, the present invention employs the following technical solution: The present invention proposes a method for production allocation of gas wells in tight gas reservoirs, comprising the following steps: Obtain the casing pressure at the end of the first month of production of the sample well, the average daily gas production of the sample well in the first month, the average daily gas production of the sample well in previous years, the average daily gas production of the new well in the first month, and the casing pressure at the end of the first month of production of the new well. The production allocation coefficient of the sample well is obtained based on the average daily gas production of the first month and the average daily gas production of the sample well in previous years. A production allocation relationship model is established based on the casing pressure at the end of the first month after the sample wells are put into production and the production allocation coefficient of the sample wells. The production allocation coefficient of the new well is obtained based on the average daily gas production in the first month of the new well and the production allocation relationship model. Based on the casing pressure at the end of the first month of production of a new well and the production allocation coefficient of the new well, the predicted value of the average daily gas production of the new well in previous years is obtained, so as to achieve reasonable production allocation of gas wells.

[0007] Preferably, the sample well is a gas well that has been in production for more than three years.

[0008] Preferably, the production curve is obtained from the sample well, and the casing pressure at the end of the first month after the sample well is put into production, the average daily gas production in the first month, and the average daily gas production in previous years are obtained from the production curve.

[0009] Preferably, the sample well is a gas well with small fluctuations in casing pressure, and the casing pressure at the end of the first month of production is obtained based on the trend of small fluctuations in casing pressure in gas wells.

[0010] Preferably, the production allocation coefficient of the sample well is the ratio of the average daily gas production of the sample well in previous years to the average daily gas production of the sample well in the first month.

[0011] Preferably, a production allocation coefficient and casing pressure at the end of the first month of the sample well are established using linear regression; the expression of the production allocation model is as follows:

[0012] in, This is the production allocation coefficient; This refers to the casing pressure at the end of the first month after a gas well comes into production.

[0013] Preferably, the production coefficient of the new well is multiplied by the average daily gas production of the well in the first month to obtain the predicted value of the average daily gas production of the new well in previous years.

[0014] This invention proposes a tight gas reservoir gas well production system, comprising: The gas well parameter acquisition module is used to acquire the casing pressure at the end of the first month of production of the sample well, the average daily gas production of the sample well in the first month, the average daily gas production of the sample well in previous years, the average daily gas production of the new well in the first month, and the casing pressure at the end of the first month of production of the new well. The sample well production coefficient acquisition module is used to acquire the production coefficient of the sample well based on the average daily gas production of the sample well in the first month and the average daily gas production of the sample well in previous years. The production allocation relationship model establishment module is used to establish a production allocation relationship model based on the casing pressure at the end of the first month after the sample well is put into production and the production allocation coefficient of the sample well. New well production coefficient acquisition module, the new well production coefficient acquisition module is used to acquire the new well production coefficient based on the average daily gas production of the new well in the first month and the production relationship model; The gas production prediction value acquisition module is used to obtain the predicted value of the average daily gas production of the new well in previous years based on the casing pressure at the end of the first month after the new well is put into production and the production allocation coefficient of the new well, so as to realize the rational production allocation of the gas well.

[0015] A computer device includes a memory and a processor, the memory storing a computer program, the processor executing the computer program to implement the steps of a tight gas reservoir gas well production method.

[0016] A computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of a tight gas reservoir gas well production method.

[0017] Compared with the prior art, the present invention has the following beneficial effects: This invention proposes a method for allocating gas well production in tight gas reservoirs. It obtains the casing pressure at the end of the first month of production of sample wells, the average daily gas production of sample wells in the first month, the average daily gas production of sample wells over previous years, the average daily gas production of new wells in the first month, and the casing pressure at the end of the first month of production of new wells. By processing these parameters, a predicted gas production value is obtained, enabling rational well production allocation and saving on-site testing costs. It acquires short-term and long-term usage data of gas wells, combining short-term production characteristics with long-term stable production capabilities to reduce allocation errors (effectively reducing evaluation errors under tight gas reservoir production fluctuations). A production allocation relationship model is established through experimental data, and the predicted average daily gas production of new wells over previous years is obtained by combining relevant parameters of sample wells and new wells. This achieves rational well production allocation while improving work efficiency, shifting the technical personnel requirement from professional researchers to on-site operators, significantly improving field applicability, and demonstrating promising application prospects in the field of gas reservoir development technology.

[0018] Furthermore, the average daily gas production in previous years was calculated using actual production data from gas wells that have been in production for more than 3 years because tight gas reservoirs typically have unstable production and large fluctuations in daily gas production. Long-term production (3 years) can fully demonstrate the production capacity, making the results more reliable.

[0019] Furthermore, the casing pressure at the end of the first month of production is obtained based on the trend of small fluctuations in casing pressure in gas wells. This is because the casing pressure may have abrupt changes due to factors such as well opening and closing, water production, and metering errors. Taking the value based on the trend of casing pressure changes can effectively reduce the impact of abnormal changes in casing pressure on the evaluation results.

[0020] The present invention proposes a tight gas reservoir gas well production allocation system, which divides the system into a gas well parameter acquisition module, a sample well production allocation coefficient acquisition module, a production allocation relationship model establishment module, a new well production allocation coefficient acquisition module, and a gas production prediction value acquisition module. The predicted value is obtained through the above modules to achieve reasonable gas well production allocation. Attached Figure Description

[0021] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 This is a flowchart of the tight gas reservoir gas well production method of the present invention.

[0023] Figure 2 This is a production curve diagram of well A1 in the Q gas reservoir of this invention.

[0024] Figure 3 This is a cross-plot of the production allocation coefficient of the tight gas reservoir well and the casing pressure at the end of the first month of production, according to the present invention.

[0025] Figure 4 This is a production curve diagram of the newly commissioned B1 well in the Q gas reservoir of this invention.

[0026] Figure 5 This is a diagram of the tight gas reservoir gas well production system of the present invention. Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0028] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0029] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0030] In the description of the embodiments of the present invention, it should be noted that if terms such as "upper," "lower," "horizontal," or "inner" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship commonly used when the product of the invention is in use, they are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention. Furthermore, terms such as "first" and "second" are only used to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0031] Furthermore, the use of the term "horizontal" does not imply that the component must be absolutely horizontal, but rather that it can be slightly tilted. For example, "horizontal" simply means that its direction is more horizontal than "vertical," and does not mean that the structure must be completely horizontal, but can be slightly tilted.

[0032] In the description of the embodiments of the present invention, it should also be noted that, unless otherwise explicitly specified and limited, the terms "set," "install," "connect," and "link" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in the present invention according to the specific circumstances.

[0033] The present invention will now be described in further detail with reference to the accompanying drawings: This invention proposes a gas well production allocation method, such as... Figure 1 As shown, it includes the following steps: S1. Obtain the casing pressure at the end of the first month of production of the sample well, the average daily gas production of the sample well in the first month, the average daily gas production of the sample well in previous years, the average daily gas production of the new well in the first month, and the casing pressure at the end of the first month of production of the new well. The sample wells are gas wells that have been in production for more than three years.

[0034] Based on the production curves obtained from the sample wells, the casing pressure at the end of the first month after the sample wells were put into production, the average daily gas production in the first month, and the average daily gas production in previous years were obtained from the production curves.

[0035] The sample wells were gas wells with slight fluctuations in casing pressure. The casing pressure at the end of the first month of production was obtained based on the trend of changes in casing pressure of gas wells with slight fluctuations.

[0036] S2. Obtain the production allocation coefficient of the sample well based on the average daily gas production of the first month and the average daily gas production of the sample well in previous years. The production allocation coefficient of the sample well is the ratio of the average daily gas production of the sample well in previous years to the average daily gas production of the sample well in the first month.

[0037] S3. Based on the casing pressure at the end of the first month of production of the sample well and the production allocation coefficient of the sample well, establish a production allocation relationship model; A production allocation model was established using linear regression to correlate the production allocation coefficient of the sample wells with the casing pressure at the end of the first month. The expression for the production allocation model is as follows:

[0038] in, This is the production allocation coefficient; This refers to the casing pressure at the end of the first month after a gas well comes into production.

[0039] S4. Obtain the production allocation coefficient of the new well based on the average daily gas production and production allocation relationship model in the first month of the new well. S5. Based on the casing pressure at the end of the first month of production of the new well and the production allocation coefficient of the new well, obtain the predicted value of the average daily gas production of the new well in previous years, and realize the reasonable production allocation of the gas well.

[0040] The production coefficient of the new well is multiplied by the average daily gas production of the well in the first month to obtain the predicted value of the average daily gas production of the new well in previous years.

[0041] The specific implementation process is as follows: 1) Twenty-two gas wells in the Q tight gas reservoir that have been in production for more than three years were selected as sample wells, and production curves were plotted, such as... Figure 2 As shown; 2) Read the casing pressure at the end of the first month of production of the sample well (for gas wells with small fluctuations in casing pressure, read according to its trend) and the average daily gas production of the first month on the production curve, and obtain the average daily gas production of the sample well for the previous 3 years. For example, well A1 was put into production on October 27, 2018. In the first month of production (until November 26, 2018), the average daily gas production was 16,700 cubic meters / day, and the casing pressure at the end of the first month was 20.38 MPa. The average daily gas production for the first three years was 10,000 cubic meters / day.

[0042] 3) Define the production allocation coefficient as the ratio of the average daily gas production of the gas well in the first 3 years to the average daily gas production in the first month; Taking well A1 as an example, the average daily gas production for the first three years was 10,000 cubic meters per day, and the average daily gas production for the first month of production was 16,700 cubic meters per day. Therefore, the production allocation coefficient for this well is 0.5988. Similarly, the calculation parameters and results of the production allocation coefficients for 23 wells in the Q gas reservoir are shown in Table 1.

[0043] Table 1. Calculation parameters and results of production allocation coefficients for 23 production ports.

[0044] 4) such as Figure 3As shown, a cross plot was drawn with the casing pressure at the end of the first month after the sample well was put into production as the abscissa and the production allocation coefficient of the sample well as the ordinate. A model of the relationship between the production allocation coefficient and the casing pressure at the end of the first month was established by linear regression. Based on measured data from 22 sample wells in the Q gas reservoir, a model was established to establish the relationship between casing pressure and production coefficient at the end of the first month of production: Cqa = 0.0176 × Pc1 + 0.3647 Where Cqa is the production allocation coefficient, which has no dimension; Pc1 is the casing pressure at the end of the first month after the gas well is put into production.

[0045] 5) For a new well that has been put into production for 1 month, obtain the casing pressure at the end of the first month and the average daily gas production in the first month, and calculate the production coefficient of the new well based on the regression model to establish the relationship between the production coefficient and the casing pressure at the end of the first month. For example, well B1 has a relatively short production time. Figure 4 The figure shows the production curve of the newly commissioned B1 well in the Q gas reservoir. From the production curve, the casing pressure at the end of the first month of production was 26.67 MPa, and the average daily gas production in the first month was 28,900 cubic meters / day. Based on the regression model established to establish the relationship between the production allocation coefficient and the casing pressure at the end of the first month, the production allocation coefficient of the new well was calculated to be 0.0176×26.67+0.3647=0.8341.

[0046] 6) By multiplying the production allocation coefficient of the new well by the average daily gas production of the well in the first month, the reasonable production allocation of the gas well can be obtained.

[0047] For example, well B1 had an average daily gas production of 28,900 cubic meters per day in the first month, with a production coefficient of 0.8341. The predicted average daily gas production for the well over the first three years was 24,100 cubic meters per day.

[0048] This invention proposes a gas well production allocation system, such as... Figure 5 As shown, it includes a gas well parameter acquisition module, a sample well production coefficient acquisition module, a production relationship model establishment module, a new well production coefficient acquisition module, and a gas production prediction value acquisition module. The gas well parameter acquisition module is used to acquire the casing pressure at the end of the first month of production of the sample well, the average daily gas production of the sample well in the first month, the average daily gas production of the sample well in previous years, the average daily gas production of the new well in the first month, and the casing pressure at the end of the first month of production of the new well. The sample well production coefficient acquisition module is used to obtain the sample well production coefficient based on the sample well's average daily gas production in the first month and the sample well's average daily gas production in previous years. The production allocation relationship model establishment module is used to establish a production allocation relationship model based on the casing pressure at the end of the first month after the sample well is put into production and the production allocation coefficient of the sample well. The new well production coefficient acquisition module is used to obtain the new well production coefficient based on the average daily gas production of the new well in the first month and the production relationship model. The gas production prediction module is used to obtain the predicted average daily gas production of the new well based on the casing pressure at the end of the first month after the new well is put into production and the production allocation coefficient of the new well, so as to realize the reasonable production allocation of the gas well.

[0049] An embodiment of the present invention provides a terminal device comprising: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps in the various method embodiments described above. Alternatively, when the processor executes the computer program, it implements the functions of each module / unit in the various device embodiments described above.

[0050] The computer program can be divided into one or more modules / units, which are stored in the memory and executed by the processor to complete the present invention.

[0051] The terminal device may be a desktop computer, laptop, handheld computer, or cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0052] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0053] The memory can be used to store the computer program and / or module. The processor implements various functions of the terminal device by running or executing the computer program and / or module stored in the memory and calling the data stored in the memory.

[0054] If the modules / units integrated into the terminal device are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium can be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electrical carrier signals and telecommunication signals.

[0055] The gas well production allocation method proposed in this invention has the following advantages: 1) Saves on-site testing costs. This technology, through in-depth exploration of the value of conventional production data, can save on gas testing and production assessment costs for a single well; 2) Significantly advances the evaluation time. This technology combines short-term production characteristics with long-term stable production capacity, reducing the evaluation time from the conventional 1-3 years to one month after production commencement; 3) Reduces evaluation errors. This technology changes the evaluation parameters from "test points" to "test segments," effectively reducing evaluation errors under tight gas reservoir production fluctuations; 4) Reduces personnel skill requirements. This technology is simple, fast, and highly operable, changing the requirement for technical personnel from "professional researchers" to "on-site operators," significantly improving its field applicability.

[0056] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for production allocation in a tight gas reservoir well, characterized in that, Includes the following steps: Obtain the casing pressure at the end of the first month of production of the sample well, the average daily gas production of the sample well in the first month, the average daily gas production of the sample well in previous years, the average daily gas production of the new well in the first month, and the casing pressure at the end of the first month of production of the new well. The production allocation coefficient of the sample well is obtained based on the average daily gas production of the first month and the average daily gas production of the sample well in previous years. A production allocation relationship model is established based on the casing pressure at the end of the first month after the sample wells are put into production and the production allocation coefficient of the sample wells. Based on the model of casing pressure and production allocation relationship at the end of the first month of production of a new well, the production allocation coefficient of the new well is obtained; based on the average daily gas production of the new well in the first month and the production allocation coefficient of the new well, the predicted value of the average daily gas production of the new well in previous years is obtained, so as to achieve reasonable production allocation of gas wells. The production allocation coefficient of the sample well is the ratio of the average daily gas production of the sample well in previous years to the average daily gas production of the sample well in the first month. A production allocation relationship model between the production allocation coefficient of the sample well and the casing pressure at the end of the first month is established through linear regression. The expression of the production allocation relationship model is as follows: in, This is the production allocation coefficient; This refers to the casing pressure at the end of the first month after a gas well comes into production.

2. The tight gas reservoir gas well production method according to claim 1, characterized in that, The sample wells are gas wells that have been in production for more than three years.

3. The tight gas reservoir gas well production method according to claim 2, characterized in that, Based on the production curves obtained from the sample wells, the casing pressure at the end of the first month after the sample wells were put into production, the average daily gas production in the first month, and the average daily gas production in previous years were obtained from the production curves.

4. The tight gas reservoir gas well production method according to claim 1, characterized in that, The sample wells were gas wells with slight fluctuations in casing pressure. The casing pressure at the end of the first month of production was obtained based on the trend of changes in casing pressure of gas wells with slight fluctuations.

5. The tight gas reservoir gas well production method according to claim 1, characterized in that, The predicted average daily gas production of the new well over previous years is obtained by multiplying the production coefficient of the new well by the average daily gas production of the new well in the first month.

6. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes a computer program, it implements the steps of the tight gas reservoir gas well production method according to any one of claims 1 to 5.

7. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the tight gas reservoir gas well production method according to any one of claims 1 to 5.

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