A method and system for analyzing oil well production fluctuations

Abstract

The application discloses an oil well production fluctuation analysis method and system, and belongs to the technical field of pumping unit oil production. The method is used for analyzing various influence factors of production fluctuation under the state of oil well production fluctuation, and determining the influence amount of each influence factor. The analysis method of the influence factors is as follows: according to historical data under the state of stable oil well production, the yield A corresponding to the index value A1 of the influence factor is determined; according to the index value A1 of the influence factor and the corresponding yield A, and in combination with the index B1 of the current influence factor, the yield B corresponding to the index B1 of the influence factor is determined; and the influence amount of the influence factor is determined according to the yield A and the yield B. According to the influence amount, the main influence factor leading to production fluctuation is determined, the main influence factor leading to production fluctuation is rapidly identified according to the influence amount, and strong support is provided for formulating targeted production stabilization measures.

Description

Technical Field

[0001] This invention relates to the field of oil pumping unit technology, specifically to a method and system for analyzing oil well production fluctuations. Background Technology

[0002] Dynamogram-based well metering technology, as a landmark technological innovation in the current digitalization process of oilfields, is becoming increasingly important. Especially in large oilfields such as Changqing, Daqing, North China, Dagang, and Shengli, it has been deployed on a large scale, benefiting approximately 80,000 wells. The widespread application of this technology signifies a major advancement in the transformation of traditional oilfield management models towards intelligence and efficiency.

[0003] Traditional oil well metering methods often rely on surface-based metering stations, using periodic or irregular manual sampling and analysis to obtain well production data. This method is not only time-consuming and labor-intensive, but also struggles to guarantee the real-time nature and accuracy of the data. Dynamogram-based oil well metering technology, on the other hand, uses sensors directly installed on the well to collect real-time operating parameters (such as sucker rod dynamometer charts and motor current). Utilizing this data in conjunction with advanced algorithm models, it can remotely, continuously, and accurately calculate the well's production. This revolution not only completely eliminates the intermediate metering station but also significantly simplifies surface processes and reduces operation and maintenance costs. By eliminating the construction and maintenance costs of metering stations, as well as the associated labor costs, the application of dynamogram-based technology significantly reduces the initial investment in oilfield development. This is of great significance for improving the overall economic efficiency of oilfields and accelerating their digital and intelligent transformation.

[0004] Although dynamometer-based well metering technology provides real-time and continuous production monitoring capabilities, well production is not a fixed value. It is affected by various factors such as formation pressure, fluid properties, equipment efficiency, and production strategies. Well production exhibits high dynamism and uncertainty. Therefore, well production is a dynamically changing value that depends on the influence of multiple factors, making it difficult to analyze system production fluctuations. Summary of the Invention

[0005] To address the problems existing in the prior art, this invention provides a method and system for analyzing oil well production fluctuations, enabling rapid investigation and remediation of the causes of abnormal fluctuations in oil well production.

[0006] This invention is achieved through the following technical solution: In a first aspect, this application provides a method for analyzing oil well production fluctuations, comprising the following steps: Under conditions of fluctuating oil well production, the various influencing factors of production fluctuation are analyzed to determine the influence of each factor. The analysis method for these influencing factors is as follows: Based on historical data under stable oil well production conditions, determine the production A corresponding to the index value A1 of the influencing factor. Based on the index value A1 of the influencing factor and the corresponding production A, and combined with the current index B1 of the influencing factor, determine the production B corresponding to the index B1 of the influencing factor. Based on production A and production B, determine the impact of the influencing factor. Identify the main factors causing output fluctuations based on the magnitude of the impact, and formulate output stabilization measures based on these main factors.

[0007] Furthermore, the determination of the output A corresponding to the index value A1 of the influencing factor includes: Obtain the values ​​of influencing factors and production rates during historical periods under stable oil well production conditions. Calculate the average value of all influencing factors during the historical period as the index value A1 of the influencing factors. Calculate the average output of all outputs over the historical period, and use it as the output A corresponding to the index value A1.

[0008] Furthermore, determining the magnitude of the influence of the influencing factor includes: The output corresponding to each influencing factor is determined by combining the average value of the indicator, the average output, the indicator value of the current influencing factor, and the proportional method. The impact of each influencing factor is determined by the output corresponding to the influencing factor and the average output.

[0009] Furthermore, the magnitude of the influence is described as follows:

[0010] in, T I For the first i The influence of each influencing factor Q Average yield, Q i The output corresponding to the influencing factors.

[0011] Furthermore, the factors affecting the output fluctuation include stroke, number of strokes, pump diameter, production rate, metering coefficient, changes in operating conditions, and effective stroke.

[0012] Furthermore, the determination of the oil well production fluctuation state includes: The current production rate of the oil well is determined by the well map, and whether the current production rate fluctuates is determined by combining the steady-state production rate of the oil well over a historical period.

[0013] Furthermore, the well mapping process for determining the current production of the oil well includes: Using well dynamometer charts, and based on the start-up and shutdown times of the pumping unit, false and duplicate dynamometer charts are eliminated to obtain valid dynamometer charts. The production rate of the oil well is then determined based on the valid dynamometer charts.

[0014] Furthermore, when the current production of the oil well fluctuates, an alarm signal is output.

[0015] Secondly, this application provides a method for analyzing oil well production fluctuations, characterized by comprising: The first module is used to analyze the various influencing factors of oil well production fluctuations and determine the influence of each factor. The analysis method for these influencing factors is as follows: Based on historical data under stable oil well production conditions, determine the production A corresponding to the index value A1 of the influencing factor. Based on the index value A1 of the influencing factor and the corresponding production A, and combined with the current index B1 of the influencing factor, determine the production B corresponding to the index B1 of the influencing factor. Based on production A and production B, determine the impact of the influencing factor. The second module identifies the main factors causing output fluctuations based on the magnitude of the impact, and formulates output stabilization measures based on these main factors.

[0016] Thirdly, this application provides an electronic device, characterized in that it includes: Memory, used to store computer programs; A processor, configured to execute the computer program to implement the steps of the oil well production fluctuation analysis method according to any one of claims 1-8.

[0017] Compared with the prior art, the present invention has the following beneficial technical effects: The oil well production fluctuation analysis method provided in this application fully utilizes historical data under stable oil well production conditions. Through comparison and analysis, it can more accurately identify the key factors affecting oil well production. By quantifying the impact of each factor, the specific degree of influence on production can be clearly demonstrated, thereby improving the accuracy and scientific rigor of the analysis. Based on the impact magnitude, the main influencing factors causing production fluctuations can be quickly identified, providing strong support for developing targeted production stabilization measures. This method can promptly detect production fluctuations and quickly analyze their causes, enabling timely adjustments to reduce losses caused by production fluctuations. This oil well production fluctuation analysis method has advantages such as accuracy and scientific rigor, targeted effectiveness, operability and practicality, and continuous improvement and optimization, providing strong support for production management in oilfield enterprises.

[0018] This application also proposes an oil well production fluctuation analysis system, an electronic device, and a computer storage medium, which possess all the advantages of the aforementioned oil well production fluctuation analysis methods. Attached Figure Description

[0019] To more clearly illustrate the technical solutions of the embodiments of this application, 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 this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a flowchart illustrating the calculation of the influence of factors influencing the present invention. Figure 2 This is a table showing the production capacity fluctuation data of well 53-38 in Embodiment 2 of the present invention; Figure 3 This is a graph showing the production rate variation of well 53-38 in Example 2 of the present invention. Figure 4 This is a radar chart showing the influence of various influencing factors in Embodiment 2 of the present invention. Figure 5 This is a table showing the production capacity fluctuation data of wells 98-104 in Embodiment 3 of the present invention; Figure 6 This is a graph showing the production rate variation of wells 98-104 in Example 3 of the present invention. Figure 7 This is a radar chart showing the influence of each influencing factor in Embodiment 3 of the present invention. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0022] Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0023] Unstable oil well production is caused by the coupled effects of multiple influencing factors, directly leading to fluctuations in oil production. When production falls below expectations, oilfield companies' revenue will decrease significantly. Furthermore, unstable oil well production may cause uneven loads on extraction equipment, accelerating wear and aging, and even triggering equipment failures. Therefore, it is necessary to analyze oil well production fluctuations to identify the main influencing factors causing these fluctuations. Based on this problem, this application provides the following oil well production fluctuation analysis method to accurately determine the main influencing factors causing fluctuations and to implement measures to stabilize production.

[0024] A method for analyzing oil well production fluctuations includes the following steps: Step 1: Determine whether the current production rate of the oil well is fluctuating based on the well progress chart; It should be noted that the oil well dynamometer diagram, more commonly known as the "oil well indicator diagram," is a closed curve diagram composed of the load-displacement relationship curve, which represents the relationship between the load at the suspension point and the displacement.

[0025] A dynamometer chart is a graphical representation of the operating status of a pumping unit well. It is created by monitoring the displacement of the polished rod (the uppermost part of the sucker rod string) and the changes in the load it bears, thus plotting a load-displacement curve. During pumping, the polished rod is subjected to various forces, including the gravity of the sucker rod string, the gravity of the fluid column, friction, and inertial forces. These forces change with the displacement of the polished rod. By measuring these force changes, the dynamometer chart can be plotted.

[0026] Technicians can determine the production of an oil well by analyzing the dynamometer card, or they can establish a prediction model based on the relationship between the dynamometer card and the production to predict the production of the oil well. In this application, the oil well dynamometer card is used to determine the current production of the oil well.

[0027] Step 2: Under the condition of oil well production fluctuation, analyze the various influencing factors of production fluctuation, determine the influence of each influencing factor, determine the main influencing factors causing production fluctuation based on the influence, formulate and implement measures based on the main influencing factors to reduce production fluctuation; The analysis methods for influencing factors are as follows: Based on historical data under stable oil well production conditions, determine the production A corresponding to the index value A1 of the influencing factor. Based on the index value A1 of the influencing factor and the corresponding production A, and in conjunction with the current index B1 of the influencing factor, determine the production B corresponding to the index B1 of the influencing factor. Based on production A and production B, determine the impact of the influencing factor.

[0028] This method first monitors the production of oil wells in real time using dynamometer cards to ensure the real-time nature of the analysis. This helps to promptly detect and respond to production fluctuations, reducing losses caused by delayed responses. By comparing historical and current data, the degree of production fluctuations can be accurately determined, as well as the specific impact of each influencing factor on production, thus improving the accuracy of the analysis. This oil well production fluctuation analysis method possesses advantages such as real-time performance and accuracy, systematicity and comprehensiveness, scientific rigor and effectiveness, as well as operability and sustainability, providing strong support for the refined management of oilfields.

[0029] Example 1 A method for analyzing oil well production fluctuations includes the following steps: Step 10: Collect the well dynamometer card and remove interfering factors from the dynamometer card to determine the well's production rate; To improve the quality of dynamometer card acquisition, based on the determined pumping unit start-up and shutdown times, false and duplicate dynamometer cards are eliminated, and reliable dynamometer cards are selected for production calculation. If data gaps exist, the equivalent production for the corresponding time period can be calculated, thereby reducing production fluctuations caused by dynamometer card acquisition quality.

[0030] A well dynamometer diagram, also known as a well indicator diagram, is a graphical representation of the operating status of a pumping unit well. It is created by monitoring the displacement of the polished rod (the uppermost part of the sucker rod string) and the changes in the load it bears, plotting a load-displacement curve. Sensors are typically used to monitor the displacement and load changes of the polished rod, transmitting this data to a data acquisition system. The data acquisition system then processes this data to generate the well dynamometer diagram.

[0031] Removing interference factors from dynamometer cards is crucial. During the acquisition of oil well dynamometer cards, various interference factors may occur, such as equipment malfunctions, data transmission errors, and environmental factors. These interference factors can lead to distortion or anomalies in the dynamometer cards.

[0032] A false dynamometer diagram (DDT) is an abnormal dynamometer diagram caused by equipment failure or data transmission errors. It can be identified and removed by analyzing the shape and characteristic points of the diagram.

[0033] During data acquisition, duplicate dynamometer cards may be generated due to system errors or operational mistakes. These duplicate dynamometer cards are not of practical significance for analyzing oil well production and therefore need to be removed.

[0034] After eliminating false and duplicate worksheets, reliable worksheets need to be selected to calculate output. Reliable worksheets should meet certain quality standards, such as complete shape and clear feature points.

[0035] During the acquisition of dynamometer cards, data gaps may occur. This could be due to sensor malfunctions, data transmission interruptions, or other reasons. To mitigate production fluctuations caused by data gaps, the equivalent production rate for the corresponding time period can be calculated. The equivalent production rate is estimated based on existing data and the operating patterns of the oil well, and can reflect the actual production of the oil well to a certain extent.

[0036] After the well dynamometer card is preprocessed, the current production rate of the well is determined based on the obtained reliable dynamometer card.

[0037] Step 20: Based on the historical steady-state production of the oil well and the current production of the oil well, determine whether the current production has fluctuated.

[0038] Calculate the average steady-state output over a historical period, compare the average with the current output, and determine whether the current output is fluctuating.

[0039] In some embodiments, the method for determining production fluctuations in a single well is as follows: First, calculate the standard deviation based on the production of a single well over the previous n days (the number of days can be customized, such as 15 days):

[0040] In the formula: It's a data point. It is the average value. It refers to the quantity of data.

[0041] Then, calculate the average output over n days. Based on the standard deviation and the average, remove outlier values ​​from the n-day output. Re-determine the average value Q based on the remaining output. The method for removing outlier values ​​is as follows: Mean + Standard Deviation < Daily Liquid Production that Meets the Calculated Mean < Mean - Standard Deviation Compare the current production rate with the average value Q to calculate the fluctuation of the daily oil well production. If the fluctuation of the production rate is greater than m% (m can be customized, such as 15%), then the production rate of the oil well is fluctuating.

[0042] In some embodiments, the method for determining production fluctuations at a site is as follows: The average value is calculated based on the liquid production of the site over the previous 5 days (the number of days can be customized) after removing abnormal fluctuations. The current production is compared with the average value to calculate the fluctuation of the site's production on that day. If the fluctuation of the liquid production is greater than 15%, the production of that site is considered to be fluctuating.

[0043] In this step, firstly, a historical time period needs to be selected, and the average steady-state production of the oil well or site during that period needs to be calculated. This average value represents the production level of the oil well or site under normal conditions. Then, the current production is compared with the calculated average value, and the degree of fluctuation is calculated to determine whether the current production has changed significantly. Finally, the degree of fluctuation is compared with a set threshold to accurately determine the stable state of the current oil well production.

[0044] Step 30: Under the condition of oil well production fluctuation, analyze the various influencing factors of production fluctuation and determine the influence of each factor.

[0045] Factors affecting output fluctuations include stroke, stroke frequency, pump diameter, production hourly rate, metering coefficient, changes in operating conditions, and effective stroke.

[0046] The calculation methods for the influence of each influencing factor are as follows: Based on historical data of oil well production under stable conditions, the average value of each influencing factor is calculated, and the average production over the historical period is also calculated. The index values ​​of each influencing factor under fluctuating production capacity are obtained. Based on the average value of the index, the average production, the index values ​​of the current influencing factors, and the proportional method, the production corresponding to each influencing factor at present is determined. Based on the production corresponding to the influencing factor and the average production, the impact of each influencing factor is determined. The following provides an example illustrating the magnitude of the influence of each factor: 1. The calculation method for the influence of the stroke is as follows: Obtain the well strokes for the previous 15 days and calculate the average stroke. Simultaneously, determine the average production Q based on the production output of the 15 days. Determine the ratio between the average stroke and the current well stroke, and combine this with the average production Q to determine the production output Q1 corresponding to the current stroke. Based on the average production Q and the production output Q1, determine the impact of the current stroke on production fluctuations.

[0047]

[0048] 2. The calculation method for the influence of each stroke is as follows: Obtain the number of well strokes in the previous 15 days and calculate the average stroke. At the same time, determine the average production Q based on the production of the 15 days. Determine the ratio of the average number of strokes to the current stroke of the well, and combine it with the average production Q to determine the production Q2 corresponding to the current stroke. Determine the impact of the current stroke on the production fluctuation based on the average production Q and the production Q2.

[0049]

[0050] 3. The calculation method for the influence of pump diameter is as follows: Obtain the pump diameter of the oil wells for the previous 15 days and calculate the average pump diameter. At the same time, determine the average production Q based on the production of the 15 days. Determine the ratio of the average pump diameter to the current pump diameter of the oil well, and combine it with the average production Q to determine the production Q3 corresponding to the current pump diameter. Determine the impact of the current pump diameter on production fluctuation based on the average production Q and the production Q3.

[0051]

[0052] 4. The calculation method for the impact of production time rate is as follows: 4.1 Accurately determine the start-up and shutdown status of the oil well based on the changes in pumping unit current and walking beam angular displacement, thereby determining the production rate.

[0053] During normal production at a pumping unit well, the current typically remains relatively stable. The pumping unit converts electrical energy into mechanical energy to drive the pump for oil extraction. During this process, the current values ​​during the upstroke and downstroke will fluctuate within a certain range, but overall remain stable.

[0054] The angular displacement of the walking beam in a beam pumping unit reflects the unit's motion characteristics. During one working cycle, the angular displacement, angular velocity, and angular acceleration of the walking beam all change. These changes can be derived through simulation analysis and used to optimize the pumping unit's motion and extend its service life. By monitoring the pumping unit's current and walking beam angular displacement in real time (or indirectly reflecting changes in walking beam angular displacement by analyzing other relevant parameters such as dynamometer diagrams), the start-up and shutdown status of the oil well can be detected promptly. Accurately determining the start-up and shutdown status of an oil well based on changes in pumping unit current and walking beam angular displacement is an effective method that helps oilfield workers promptly identify and address well faults, ensuring normal operation and maximizing production efficiency.

[0055] 4.2 Obtain the well production rate for the previous 15 days and calculate the average production rate. At the same time, determine the average production rate Q based on the production of the 15 days. Determine the ratio of the average production rate to the current production rate of the well, and combine it with the average production rate Q to determine the production rate Q4 corresponding to the current production rate. Determine the impact of the current production rate on production fluctuation based on the average production rate Q and the production rate Q4.

[0056]

[0057] 5. The calculation method for the influence of the measurement coefficient is as follows: Obtain the well metering coefficients for the previous 15 days and calculate the average metering coefficient. Simultaneously, determine the average production Q based on the production output of the previous 15 days. Determine the ratio between the average metering coefficient and the current well metering coefficient, and combine this with the average production Q to determine the production output Q5 corresponding to the current metering coefficient. Based on the average production Q and the production output Q5, determine the impact of the current metering coefficient on production fluctuations.

[0058]

[0059] 6. The calculation method for the impact of changes in operating conditions is as follows: The impact of changes in operating conditions on production, i.e. production fluctuations caused by well failures, is determined by the changes in well load. The current production is then corrected based on the changes in operating conditions, and the impact of the changes in operating conditions is determined based on the revised production Q6 and the average production.

[0060] For wells with intermittent fluid production and wells with fixed valve failure, the operating conditions of intermittent fluid production and fixed valve failure are first accurately distinguished by load changes. During intermittent fluid production, the dynamometer card showing an increase in minimum load despite being diagnosed as having insufficient fluid supply is not included in the production data. When the well experiences fixed valve failure, double valve leakage, floating valve failure, tubing leakage, rod breakage, or other operating conditions, the well dynamometer card is not included in the production data.

[0061] Calculate the average production of oil wells over the previous 15 days and compare it with the current production rate Q6 to determine the impact of changes in operating conditions.

[0062]

[0063] 7. The calculation method for the influence of the effective stroke is as follows: Effective stroke is a crucial parameter in the production process of oil pumping units, referring to the actual effective displacement of the pump piston during pumping. During pumping, due to various factors (such as the elastic deformation of the sucker rod, pump wear, and reservoir fluid supply capacity), the actual piston displacement may be less than the theoretical stroke of the pumping unit. Therefore, effective stroke is an important indicator for measuring the efficiency of the pumping unit and the production capacity of the oil well.

[0064] Obtain the effective stroke of the oil well for the previous 15 days and calculate the average effective stroke. At the same time, determine the average production Q based on the production of the 15 days. Determine the ratio of the average effective stroke to the current effective stroke of the oil well, and combine it with the average production Q to determine the production Q7 corresponding to the current effective stroke. Determine the impact of the current effective stroke on production fluctuation based on the average production Q and the production Q7.

[0065]

[0066] Step 40: Sort the influence of each influencing factor from largest to smallest, take the top few influencing factors in the sequence as the main influencing factors, and formulate and implement corresponding output stabilization measures to reduce output fluctuations.

[0067] This method for analyzing production volatility has the following advantages: 1. By acquiring, removing interference from, screening, and preprocessing oil well dynamometer cards, the accuracy and reliability of the data used for production calculation were ensured. False and duplicate dynamometer cards were eliminated, reducing data errors and improving the accuracy of production calculations. For cases with missing data, a production conversion method was used to reduce production fluctuations caused by incomplete data.

[0068] 2. By comparing the difference between historical steady-state production and current production, and combining this with calculations of the degree of fluctuation, it is possible to objectively determine whether oil well production has fluctuated. A customizable fluctuation threshold has been set, making the assessment of production fluctuations more flexible and accurate.

[0069] 3. Comprehensiveness of Influencing Factor Analysis: The analysis covers multiple influencing factors, including stroke, stroke frequency, pump diameter, production rate, metering coefficient, operating condition variations, and effective stroke, ensuring comprehensiveness. For each influencing factor, specific calculation methods and exemplary explanations are provided, making the analysis process more concrete and operable.

[0070] 4. By calculating the average and current values ​​of each influencing factor and combining this with the proportional method, the corresponding output for each influencing factor was determined, thus enabling precise quantification of the impact of each factor on output fluctuations. This method not only helps identify the main influencing factors but also provides data support for developing targeted output stabilization measures.

[0071] 5. By ranking the influencing factors from largest to smallest, the main influencing factors can be quickly identified. Developing and implementing corresponding production stabilization measures targeting these main influencing factors helps reduce production fluctuations and improve the production efficiency and economic benefits of oil wells.

[0072] Example 2 The oil well production fluctuation analysis method proposed above was used to analyze well Hua53-38.

[0073] See Figure 2-4 On May 24, the production of well Hua 53-38 fluctuated by 145.6% compared with the average of the previous 15 days. The analysis of the factors affecting the production fluctuation mainly showed that the changes in operating conditions (insufficient fluid supply → failure of fixed valve) and changes in effective stroke (0.32 → 0.76) had an impact.

[0074] Example 3 The oil well production fluctuation analysis method proposed above was used to analyze well 98-104.

[0075] See Figure 5-7 The production of well 98-104 fluctuated by 25.4%, 17.3%, and 41.6% on June 17, June 24, and July 1, respectively, compared to the average of the previous 15 days. The main factor affecting the production fluctuation was the adjustment of the number of strokes (2.6 → 3.31 → 3.92 → 5.15).

[0076] The oil well production fluctuation analysis method proposed in this application establishes a production fluctuation evaluation system for site and single well production changes. It combines factors such as stroke, stroke frequency, pump diameter, acquisition dynamometer card quality, metering coefficient, effective stroke, and daily operating condition changes to automatically analyze the causes of production fluctuations, achieving efficient and convenient production investigation and dynamic analysis. It also enables automatic alarm for abnormal fluctuations in oil well and site production volume and rapid investigation of the causes of production volume fluctuations.

[0077] Example 4 A method for alarming and analyzing oil well production fluctuations includes the following steps: Step 10: Collect the well dynamometer card and remove interfering factors from the dynamometer card to determine the well's production rate; Step 20: Based on the historical steady-state production of the oil well and the current production of the oil well, determine whether the current production has fluctuated, and output an alarm signal when the production fluctuates.

[0078] Step 30: Under the condition of oil well production fluctuation, analyze the various influencing factors of production fluctuation and determine the influence of each factor.

[0079] Step 40: Sort the influence of each influencing factor from largest to smallest, take the top few influencing factors in the sequence as the main influencing factors, and formulate and implement corresponding output stabilization measures to reduce output fluctuations.

[0080] Based on the above-mentioned oil well production fluctuation analysis method, this application also proposes an oil well production fluctuation analysis system, which may include: The fluctuation module is used to determine whether the current production of the oil well is fluctuating based on the well progress chart. The analysis module is used to analyze the various factors affecting oil well production fluctuations, determine the impact of each factor, identify the main factors causing production fluctuations based on the impact, and formulate and implement measures based on the main factors to reduce production fluctuations. The analysis methods for influencing factors are as follows: Based on historical data under stable oil well production conditions, determine the production A corresponding to the index value A1 of the influencing factor. Based on the index value A1 of the influencing factor and the corresponding production A, and in conjunction with the current index B1 of the influencing factor, determine the production B corresponding to the index B1 of the influencing factor. Based on production A and production B, determine the impact of the influencing factor.

[0081] Preferably, the influence of each influencing factor can be determined using the following methods: Based on historical data of oil well production under stable conditions, the average value of each influencing factor is calculated, and the average production over the historical period is also calculated. The index values ​​of each influencing factor under fluctuating production capacity are obtained. Based on the average value of the index, the average production, the index values ​​of the current influencing factors, and the proportional method, the production corresponding to each influencing factor at present is determined. Based on the production corresponding to the influencing factor and the average production, the impact of each influencing factor is determined. It should be noted that, in the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules may be combined or integrated into another device, or some features may be ignored or not executed. The modules described as separate components may or may not be physically separated. The components shown as modules may be one or more physical units, that is, they may be located in one place or distributed in multiple different places. Some or all of the modules can be selected to achieve the purpose of the solution in this embodiment according to actual needs.

[0082] Furthermore, in the various embodiments of the present invention, the modules can be integrated into one processing unit, or each module can exist physically separately, or two or more modules can be integrated into one unit. The integrated unit described above can be implemented in hardware or as a software functional unit.

[0083] An electronic device provided in this application includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, it implements the steps of the oil well production fluctuation analysis method described in any of the above embodiments.

[0084] Another electronic device provided in this application embodiment may further include: an input port connected to a processor for transmitting multimodal data collected by an external acquisition device to the processor; a display unit connected to the processor for displaying the processor's processing results to the outside world; and a communication module connected to the processor for enabling communication between the electronic device and the outside world. The display unit may be a display panel, a laser scanning display, etc.; the communication method adopted by the communication module includes, but is not limited to, Mobile High Definition Link (HML), Universal Serial Bus (USB), High Definition Multimedia Interface (HDMI), and wireless connection (including Wi-Fi, Bluetooth, Bluetooth Low Energy, and IEEE 802.11s-based communication technology).

[0085] This application provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it implements the steps of the oil well production fluctuation analysis method described in any of the above embodiments.

[0086] The computer-readable storage media involved in this application include random access memory (RAM), memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disks, removable disks, CD-ROMs, or any other form of storage media known in the art.

[0087] For descriptions of relevant parts of the oil well production fluctuation analysis system, electronic equipment, and computer-readable storage medium provided in this application's embodiments, please refer to the detailed descriptions of the corresponding parts in the electro-oil well production fluctuation analysis method provided in this application's embodiments; they will not be repeated here. Furthermore, parts of the technical solutions provided in this application that are consistent with the implementation principles of corresponding technical solutions in the prior art have not been described in detail to avoid excessive elaboration.

[0088] The above are merely preferred embodiments of this application and are not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for analyzing oil well production fluctuations, characterized in that, Includes the following steps: Under conditions of fluctuating oil well production, the various influencing factors of production fluctuation are analyzed to determine the influence of each factor. The analysis method for these influencing factors is as follows: Based on historical data under stable oil well production conditions, determine the production A corresponding to the index value A1 of the influencing factor. Based on the index value A1 of the influencing factor and the corresponding production A, and combined with the current index B1 of the influencing factor, determine the production B corresponding to the index B1 of the influencing factor. Based on production A and production B, determine the impact of the influencing factor. Identify the main factors causing output fluctuations based on the magnitude of the impact, and formulate output stabilization measures based on these main factors.

2. The method for analyzing oil well production fluctuations according to claim 1, characterized in that, The determination of the output A corresponding to the index value A1 of the influencing factor includes: Obtain the values ​​of influencing factors and production rates during historical periods under stable oil well production conditions. Calculate the average value of all influencing factors during the historical period as the index value A1 of the influencing factors. Calculate the average output of all outputs over the historical period, and use it as the output A corresponding to the index value A1.

3. The method for analyzing oil well production fluctuations according to claim 2, characterized in that, Determining the influence of the influencing factors includes: The output corresponding to each influencing factor is determined by combining the average value of the indicator, the average output, the indicator value of the current influencing factor, and the proportional method. The impact of each influencing factor is determined by the output corresponding to the influencing factor and the average output.

4. The method for analyzing oil well production fluctuations according to claim 1 or 3, characterized in that, The magnitude of the influence is described as follows: in, T I For the first i The influence of each influencing factor Q Average yield, Q i The output corresponding to the influencing factors.

5. The method for analyzing oil well production fluctuations according to claim 4, characterized in that, The factors affecting the output fluctuations include stroke, stroke frequency, pump diameter, production hourly rate, metering coefficient, operating condition changes, and effective stroke.

6. A method for analyzing oil well production fluctuations according to claim 1 or 5, characterized in that, The determination of the oil well production fluctuation status includes: The current production rate of the oil well is determined by the well map, and whether the current production rate fluctuates is determined by combining the steady-state production rate of the oil well over a historical period.

7. The method for analyzing oil well production fluctuations according to claim 6, characterized in that, The well mapping process determines the current production of the oil well, including: Using well dynamometer charts, and based on the start-up and shutdown times of the pumping unit, false and duplicate dynamometer charts are eliminated to obtain valid dynamometer charts. The production rate of the oil well is then determined based on the valid dynamometer charts.

8. The method for analyzing oil well production fluctuations according to claim 6, characterized in that, An alarm signal is output when the current production of the oil well fluctuates.

9. A method for analyzing oil well production fluctuations, characterized in that, include: The first module is used to analyze the various influencing factors of oil well production fluctuations and determine the influence of each factor. The analysis method for these influencing factors is as follows: Based on historical data under stable oil well production conditions, determine the production A corresponding to the index value A1 of the influencing factor. Based on the index value A1 of the influencing factor and the corresponding production A, and combined with the current index B1 of the influencing factor, determine the production B corresponding to the index B1 of the influencing factor. Based on production A and production B, determine the impact of the influencing factor. The second module identifies the main factors causing output fluctuations based on the magnitude of the impact, and formulates output stabilization measures based on these main factors.

10. An electronic device, characterized in that, include: Memory, used to store computer programs; A processor, configured to execute the computer program to implement the steps of the oil well production fluctuation analysis method according to any one of claims 1-8.

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