Method and system for evaluating production condition of single well
The moving average algorithm is used to analyze the trend of production data of single wells in the oil field, draw deviation curves, identify stable production periods and issue early warnings, which solves the problem of difficulty in obtaining geological and reservoir parameters in existing technologies and realizes effective management and early warning of single well production conditions.
Patent Information
- Application Number
- CN202410260616.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-03-07
- Publication Date
- 2025-09-09
AI Technical Summary
Existing technologies lack correlation analysis of trends and moving average characteristics of single-well production dynamic data in oil fields, resulting in high costs and long cycles for obtaining geological and reservoir parameters, making it difficult to form effective production guidance.
A moving average algorithm is used to analyze the trends of multiple production data, draw deviation curves, identify stable production periods and production warnings, including warnings of unstable formation supply, water intrusion and energy mismatch, and analyze them in combination with reservoir geological characteristics information.
It realizes the dynamic management and evaluation of single well production conditions, supplements the deficiencies in geological and reservoir knowledge, provides a statistical starting point for the stable production period and production early warning, and improves the guidance of production characteristics.
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Figure CN120611999A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of oil and gas field development, and in particular to a method and system for evaluating the production situation of a single well. Background Art
[0002] Currently, the production dynamic data of single wells in oil fields are mostly simply recorded and counted, lacking the reflection and analysis of the production situation of single wells based on the data change trend.
[0003] The acquisition, understanding, and analysis of geological and reservoir parameters are fundamental to subsequent engineering implementation. However, during the development of some oilfields (such as some overseas), geological and reservoir data suffer from high costs and long acquisition cycles, making it difficult to timely develop a systematic and effective understanding of the geology and reservoirs needed to guide actual production. To overcome these practical difficulties, it is necessary to conduct in-depth mining of production dynamics data to obtain a relative understanding, reflect current geological and reservoir parameters, and, to a certain extent, supplement the lack of geological and reservoir knowledge.
[0004] In the existing technology "A method for real-time dynamic prediction based on energy industry production data" (CN202210547142.4), the historical production data after analysis and feature standardization is statistically processed according to the business logic, and the time when abnormal alarms need to be issued is determined according to the statistics of the historical production data, and the annotation results of the training set are formed. The dependent variable of the regression analysis of the business logic is trained based on the said annotation results.
[0005] In the existing technology "A method, system, equipment and storage medium for analyzing the main controlling factors of oil well productivity" (CN202111253964.3), the control variable method is adopted to independently analyze the cleaned production dynamic and static geological data, design their application methods respectively, and use machine learning algorithms to rank the main controlling factors of oil well productivity, and obtain the importance ranking of each production dynamic factor and static geological factor.
[0006] In the existing technology "A method and system for dynamic analysis of oilfield production based on big data" (CN202011615557.8), a distributed storage data warehouse is established, and the indicator data is sent to the data warehouse for storage through a data interface; the indicator data in the data warehouse is used as a modeling parameter to construct an oilfield production diagnosis and early warning model.
[0007] In the existing technology "A method for establishing a rapid screening chart for measure wells / layers based on cluster analysis of the main controlling factors of production and water content changes" (CN202010618390.4), key parameters for production dynamic analysis such as normal production wells, abnormal production wells requiring measures, wells requiring protection, wells with effective measures, and wells with ineffective measures can be analyzed, providing production dynamic analysts with an intuitive and clear basis for well selection.
[0008] However, the above-mentioned prior art does not propose an application for associating trend and moving average characteristics with production characteristics based on the production dynamic data used on site. Summary of the Invention
[0009] The purpose of the present invention is to provide a solution that can analyze the production data trend and the moving average characteristics of the production data in the target well production area based on the production dynamic data to guide the production characteristics.
[0010] In order to solve the above technical problems, an embodiment of the present invention provides a method for evaluating the production situation of a single well, including: collecting multiple dynamic production data about the target well; for each production data, drawing a corresponding production change curve that changes with different unit time lengths, and based on this, obtaining single well trend analysis information including a deviation curve of each production data, wherein the deviation is the ratio of the difference between the production change curves with different time lengths to the production change curve of the long-term unit time length; according to the single well trend analysis information, identifying the stable production period and production warning of the current target well.
[0011] Preferably, the multiple dynamic production data include but are not limited to: daily liquid production, daily oil production, water content and pressure; the deviation curve is the ratio of the difference curve to the production change curve that changes with the first unit time length, and the difference curve is the difference between the production change curve that changes with the second unit time length and the production change curve that changes with the first unit time length, wherein the first unit time length is greater than the second unit time length.
[0012] Preferably, the production warning includes: an early warning of unstable formation supply, wherein, in the step of identifying the stable production period and production early warning of the current target well based on the single well trend analysis information, it includes: when the degree of fluctuation of some areas in the pressure deviation curve is higher than the degree of fluctuation of the corresponding area in the production liquid deviation and reaches a first threshold, it is determined that the formation begins to have discontinuous liquid supply in the current period, wherein, combined with the reservoir geological characteristic information of the current abnormal period, the cause category of the current formation supply instability is analyzed, and the causes of the unstable formation supply include formation blockage or insufficient formation energy.
[0013] Preferably, the production warning includes: water intrusion warning, wherein, in the step of identifying the stable production period and production warning of the current target well based on the single well trend analysis information, it includes: when the liquid production deviation curve and the pressure deviation curve are both in a stable state, and a rapid decline or violent fluctuation occurs in some areas of the oil production deviation curve, it is determined that water intrusion has occurred in the current period, wherein, based on the reservoir geological characteristic information of the current abnormal period, it is analyzed whether the current cause of water intrusion is due to reservoir geological reasons. If not, it is necessary to immediately carry out water plugging or profile adjustment technology.
[0014] Preferably, the production warning includes: a warning of mismatch between formation energy and production system, wherein, in the step of identifying the stable production period and production warning of the current target well based on the single well trend analysis information, it includes: when part of the area in the liquid production deviation curve or the pressure deviation curve appears to be continuously negative and the current negative area fluctuates less, it is determined that the formation energy in the current period does not match the production system, wherein, if the phenomenon is not improved after adjusting the production system for the current abnormal period, it is determined that the previous reservoir transformation has entered the failure period.
[0015] Preferably, the time when the liquid production deviation is first zero is taken as the starting point of the stable production period of the current target well, and the time before the stable production period is taken as the production ramp-up period.
[0016] Preferably, the different unit durations include but are not limited to: 7 days, 10 days, 15 days, 20 days, 25 days and 30 days.
[0017] Preferably, the pressure is the wellhead pressure or the pump suction pressure.
[0018] Preferably, the method further comprises: according to the deviation curve of each production data, taking the regional curve of each deviation curve within the first threshold range as a stable area.
[0019] On the other hand, an embodiment of the present invention provides a computer-readable storage medium comprising a series of instructions for executing the method steps described above.
[0020] In addition, an embodiment of the present invention also provides a system for evaluating the production status of a single well, including: a data collection module, which is configured to collect multiple dynamic production data about the target well; a data processing module, which is configured to draw a corresponding production change curve that changes with different unit time lengths for each production data, and based on this, obtain single well trend analysis information containing a deviation curve of each production data, wherein the deviation is the ratio of the difference between the production change curves with different time lengths to the production change curve of the long-term unit time length; a data analysis module, which is configured to identify the stable production period and production warning of the current target well based on the single well trend analysis information.
[0021] Compared with the prior art, one or more embodiments of the above solutions may have the following advantages or beneficial effects:
[0022] The present invention proposes a method and system for evaluating the production situation of a single well. Since the acquisition, understanding and analysis of geological and reservoir parameters are the basis for carrying out subsequent engineering practices, in the development process of some oil fields (such as some overseas oil fields), geological and reservoir data have the disadvantages of high acquisition costs and long cycles, making it difficult to form a systematic and effective geological and reservoir understanding in a timely manner to guide the actual production situation. In order to overcome the actual difficulties existing in the well site, it is necessary to use production dynamic data for in-depth mining to obtain relative understanding, realize the current reflection of geological and reservoir parameters, and to a certain extent supplement the lack of geological and reservoir understanding. Based on the moving average algorithm, the present invention performs trend analysis on designated indicators of different periods, combines single well historical events (such as construction, anomalies, accidents, etc.), establishes a mapping relationship between production status and trend line characteristics, and forms a single well dynamic management and evaluation technology. In addition, the present invention also effectively determines the statistical starting point of the stable production period based on dynamic production data.
[0023] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purposes and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the description, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS
[0024] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:
[0025] Figure 1 Schematic diagram of the steps of a method for evaluating the production status of a single well according to an embodiment of the present application.
[0026] Figure 2 This is an example diagram of raw production data and single-well trend analysis information in the method for evaluating single-well production conditions according to an embodiment of the present application.
[0027] Figure 3 This is an example diagram of the original production data of the first example well and the single well trend analysis information in the method for evaluating the production situation of a single well in an embodiment of the present application.
[0028] Figure 4 This is an example diagram of the original production data and single-well trend analysis information of the second example well in the method for evaluating the production situation of a single well according to an embodiment of the present application.
[0029] Figure 5This is an example diagram of the original production data of the third example well and the single well trend analysis information in the method for evaluating the production situation of a single well according to an embodiment of the present application.
[0030] Figure 6 This is a module block diagram of a system for evaluating the production status of a single well according to an embodiment of the present application. DETAILED DESCRIPTION
[0031] The following describes the embodiments of the present invention in detail with reference to the accompanying drawings and examples, so that the present invention can fully understand how to apply technical means to solve technical problems and achieve technical effects, and thus implement the invention accordingly. It should be noted that, as long as no conflict exists, the various embodiments of the present invention and the various features of the embodiments can be combined with each other, and the resulting technical solutions are all within the scope of protection of the present invention.
[0032] In addition, the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions. Also, although a logical order is shown in the flowchart, in some cases, the steps shown or described can be performed in a different order than here.
[0033] The terms used herein are intended only to describe specific embodiments and are not intended to limit exemplary embodiments. Unless the context clearly indicates otherwise, the singular forms "a", "an", "an item" used herein are also intended to include the plural. It should also be understood that the terms "comprise" and / or "include" used herein specify the presence of stated features, integers, steps, operations, units and / or components, and do not preclude the presence or addition of one or more other features, integers, steps, operations, units, components and / or combinations thereof.
[0034] Currently, the production dynamic data of single wells in oil fields are mostly simply recorded and counted, lacking the reflection and analysis of the production situation of single wells based on the data change trend.
[0035] The acquisition, understanding, and analysis of geological and reservoir parameters are fundamental to subsequent engineering implementation. However, during the development of some oilfields (such as some overseas), geological and reservoir data suffer from high costs and long acquisition cycles, making it difficult to timely develop a systematic and effective understanding of the geology and reservoirs needed to guide actual production. To overcome these practical difficulties, it is necessary to conduct in-depth mining of production dynamics data to obtain a relative understanding, reflect current geological and reservoir parameters, and, to a certain extent, supplement the lack of geological and reservoir knowledge.
[0036] In the existing technology "A method for real-time dynamic prediction based on energy industry production data" (CN202210547142.4), the historical production data after analysis and feature standardization is statistically processed according to the business logic, and the time when abnormal alarms need to be issued is determined according to the statistics of the historical production data, and the annotation results of the training set are formed. The dependent variable of the regression analysis of the business logic is trained based on the said annotation results.
[0037] In the existing technology "A method, system, equipment and storage medium for analyzing the main controlling factors of oil well productivity" (CN202111253964.3), the control variable method is adopted to independently analyze the cleaned production dynamic and static geological data, design their application methods respectively, and use machine learning algorithms to rank the main controlling factors of oil well productivity, and obtain the importance ranking of each production dynamic factor and static geological factor.
[0038] In the existing technology "A method and system for dynamic analysis of oilfield production based on big data" (CN202011615557.8), a distributed storage data warehouse is established, and the indicator data is sent to the data warehouse for storage through a data interface; the indicator data in the data warehouse is used as a modeling parameter to construct an oilfield production diagnosis and early warning model.
[0039] In the existing technology "A method for establishing a rapid screening chart for measure wells / layers based on cluster analysis of the main controlling factors of production and water content changes" (CN202010618390.4), key parameters for production dynamic analysis such as normal production wells, abnormal production wells requiring measures, wells requiring protection, wells with effective measures, and wells with ineffective measures can be analyzed, providing production dynamic analysts with an intuitive and clear basis for well selection.
[0040] However, the above-mentioned prior art does not propose an application for associating trend and moving average characteristics with production characteristics based on the production dynamic data used on site.
[0041] To address the technical issues in the above background technology, the present application provides a method and system for evaluating the production status of a single well. The method and system can perform trend analysis on designated indicators of different periods based on a moving average algorithm, thereby guiding the dynamic management and evaluation of single wells.
[0042] Figure 1 This is a schematic diagram of the steps of the method for evaluating the production of a single well according to an embodiment of the present application. Figure 1 The following describes the specific steps of the method for evaluating the production status of a single well (also referred to as "production status evaluation method") according to an embodiment of the present invention:
[0043] Step S110 collects multiple dynamic production data items related to the target well. In this embodiment of the present invention, the target well is the single well to be evaluated. These multiple dynamic production data items include, but are not limited to, daily liquid production, daily oil production, water cut, and pressure. The pressure is preferably wellhead pressure or pump intake pressure.
[0044] In step S110, the production dynamic data of the target single well in the target oil field within the target time range is read, which should include at least multiple production data such as daily liquid production, daily oil production, water cut and pressure (wellhead pressure or pump suction pressure, etc.), and each production data is sorted in descending order of date, so as to draw the corresponding original production data curve for each production data. Figure 2 .
[0045] Step S120 plots a production variation curve for each production data item at different unit time intervals. Based on this, single-well trend analysis information, including a deviation curve for each production data item, is obtained. The deviation is the ratio of the difference between the production variation curves at different time intervals to the long-term production variation curve for a unit time interval.
[0046] In step S120, first, for each production data, a production change curve with different unit time lengths is drawn, see Figure 2 The different unit durations include but are not limited to: 7 days, 10 days, 15 days, 20 days, 25 days and 30 days.
[0047] Therefore, in the embodiment of the present invention, for each production data, it is necessary to first calculate the average data within each unit time according to different unit time (that is, calculate the moving average calculation results corresponding to different time lengths), and based on this, draw the average production data change curve for each different unit time. Taking daily liquid production as an example, according to the daily liquid production data within the target time range, first calculate the average daily liquid production every 7 days, every 15 days and every 30 days, and then draw the daily liquid production change curve that changes with 7 days based on the average daily liquid production every 7 days, draw the daily liquid production change curve that changes with 15 days based on the average daily liquid production every 15 days, and draw the daily liquid production change curve that changes with 30 days based on the average daily liquid production every 30 days, see Figure 2 .
[0048] Then, step S120 will also obtain the deviation curve of each production data according to the production change curves under different unit time lengths corresponding to different production data (such as Figure 2 ), thereby forming corresponding single-well trend analysis information. For each production data item, the deviation curve is the ratio of the difference between the production change curves of different durations to the long-term production change curve per unit duration.
[0049] In one embodiment, the deviation curve is the ratio of the difference curve to the production variation curve varying with a first unit duration, wherein the difference curve is the difference between the production variation curve varying with a second unit duration and the production variation curve varying with the first unit duration. The first unit duration and the second unit duration are a combination of any two of the aforementioned different unit durations, and the first unit duration is greater than the second unit duration.
[0050] Taking the deviation of the daily liquid production indicator as an example, the deviation of the daily liquid production = (7-day moving average in the daily liquid production change curve over 7 days - 30-day moving average in the daily liquid production change curve over 30 days) / 30-day moving average in the daily liquid production change curve over 30 days.
[0051] After obtaining the deviation curve for each production data item, step S120 further integrates the original production data curve, the generated change curves for different unit time periods, and the deviation curve into single-well trend analysis information for the current target well, thereby entering step S130. During the integration process, a chart is drawn and displayed in the same coordinate system, with date (or time period) as the X-axis and the original production data, moving average calculation results, and deviation of each indicator as the Y-axis, to form the single-well trend analysis information.
[0052] Next, the embodiment of the present invention will combine the actual production situation of a single well, observe and record the changes and characteristics of each indicator in the above-mentioned single well trend analysis information after anomalies occur or measures are taken, and gradually establish corresponding construction instruction charts, which can also serve as the basis for intelligent analysis and production early warning in subsequent development.
[0053] Step S130 identifies the stable production period and production warning of the current target well based on the single well trend analysis information of the current target well obtained in step S120.
[0054] Before identifying the stable production period of the target well, step S130 further identifies the curve region within a first threshold range of each deviation curve based on the deviation curve of each production data item as a stable region. In an embodiment of the present invention, the first threshold range is preferably ±20%. Therefore, the present invention identifies the curve region within a deviation range of ±20% as a relatively stable state for the corresponding deviation curve.
[0055] In one embodiment, for the current target well, the time point when the production deviation is first zero is used as the starting point of the stable production period of the current target well, and the time before the stable production period is used as the production ramp-up period.
[0056] When the liquid production deviation reaches 0 for the first time, the target well is determined to have entered a stable production period. The period between these stable production periods is defined as the production ramp-up period. By defining the stable production period, the present invention unifies the statistical caliber of all production data, gradually making wells (individual wells) with different measures more comparable.
[0057] Furthermore, in one embodiment, the production early warning includes at least three types of early warnings, namely: early warning of unstable formation supply, early warning of water intrusion, and early warning of mismatch between formation energy and production system.
[0058] In the first embodiment, when the degree of fluctuation of some areas in the pressure deviation curve is higher than the degree of fluctuation of the corresponding area in the liquid production deviation and reaches a first threshold value, it is determined that the formation begins to have discontinuous liquid supply in the current period. When the pressure deviation is much higher than the liquid production deviation, it is considered to be a warning that the formation begins to have discontinuous liquid supply (unstable formation supply). Among them, the cause category of the current formation supply instability is analyzed in combination with the reservoir geological characteristic information of the current abnormal period (period of discontinuous liquid supply). The causes of the unstable formation supply include: formation blockage or insufficient formation energy. After identifying the period of unstable formation supply, it is necessary to analyze its cause in combination with the reservoir geological characteristics to determine whether it is formation blockage or insufficient formation energy.
[0059] In a second embodiment, if both the liquid production deviation curve and the pressure deviation curve are stable, and a portion of the oil production deviation curve shows a rapid decline (e.g., when the deviation data is continuously negative) or a sharp fluctuation (e.g., when the deviation value is greater than 50% or less than -50%, or when the absolute value of the deviation of the selected target well is in the top 25% of the statistical quantile when sorted in descending order), then water intrusion is determined to have occurred during the current period. If both the liquid production and pressure deviations are stable, and the oil production deviation drops rapidly (e.g., remains negative for more than 7 days) or fluctuates sharply, then a water intrusion warning is considered to have occurred in the formation. The reservoir geological characteristics of the current abnormal period (water intrusion period) are used to analyze whether the current water intrusion is caused by reservoir geological factors. If not, water plugging or profile adjustment processes must be immediately implemented. If water intrusion is determined to be a geological cause (e.g., discontinuous residual oil distribution) based on the reservoir geological characteristics, water plugging or profile adjustment processes must be implemented as soon as possible to avoid more serious water intrusion or flooding.
[0060] In the third embodiment, when part of the area in the liquid production deviation curve or the pressure deviation curve is continuously negative and the current negative area fluctuates slightly (for example, the deviation data is less than 50% or greater than -50%), or when the absolute value of the deviation of the selected target well is arranged in descending order, it is determined that the formation energy and the production system do not match in the current period. At this time, the production system of the current target well needs to be adjusted. Specifically, when the liquid production or pressure deviation is continuously negative (such as more than 7 days) and the fluctuation is small, it is considered that the current formation energy and the production system do not match the warning, and the production system needs to be adjusted as appropriate (such as production allocation, adjustment of daily pump opening time, etc.). Among them, if the phenomenon does not improve after adjusting the production system for the current abnormal period (the period of mismatched production system), it is determined that the previous reservoir transformation has entered the failure period. In other words, if the deviation degree continues to be negative (but the magnitude is lower than that in the previous period) after adjusting the production system of the current target well, it is considered that the previous reservoir transformation has entered the failure period, and repeated transformation work can be considered as appropriate based on the economic output situation.
[0061] The following application of the above production evaluation method to a specific oil field demonstrates the effectiveness of the present invention. This oil field has been developed for 20 years, but has undergone multiple changes of management. As a result, geological and reservoir data are fragmented and difficult to collect. Development costs hinder new coring efforts, hindering further understanding of the geology and reservoirs.
[0062] By reading and calculating production dynamic data, the moving average values of various production indicators (including 7-day average, 15-day average and 30-day average) are supplemented and calculated based on the data columns of the target well (the default values are daily liquid production, daily oil production, water cut and pressure).
[0063] The moving average data of the four indicators of liquid volume, oil volume, pressure and water content are summarized, and the concept of deviation degree is introduced so that the above four indicators can be compared in the same coordinate system. Among them, the deviation degree can refer to the ratio of the difference between the 7-day line and the 30-day line of the same indicator to the 30-day line.
[0064] (1) Trend characteristics of stable production wells:
[0065] Take Well 804 (first example well) and Well 805 (second example well) as examples. Figure 3 and Figure 4 As shown, during the normal production process of production wells without measures, the daily production indicators all fluctuate, but the deviation has a certain vibration range. The production amplitude of 804 and 805 in the past six months is about ±15%;
[0066] Under stable production conditions, the deviations between liquid and oil production are highly correlated (if they deviate, reservoir issues such as discontinuity in remaining oil distribution and water intrusion are inferred);
[0067] (2) Characteristics of the trend of measure wells:
[0068] Take Well 181 (the third example well) as an example. Figure 5 As shown in the figure, the deviation of the initial stage of the well opening far exceeds the limit value (20%), but it is in a monotonically decreasing state;
[0069] When the liquid production deviation reaches 0 for the first time, it is defined as entering the stable production period (this is the standard for determining the stable production period for the treatment wells). Before that, it is defined as the production ramp-up period (if the 7-day moving average curve / 15-day moving average curve is used, the stable production period will be advanced. All treatment wells should use the same index to ensure uniform standards).
[0070] refer to Figure 5 When the liquid production and pressure deviation tend to be stable, it indicates that the production and injection situation is stable and there are no abnormalities. However, if the oil production fluctuates greatly, it is due to reservoir reasons (such as discontinuous distribution of remaining oil, water intrusion during the production process, etc.).
[0071] Based on the above-described method for evaluating single-well production, embodiments of the present invention also provide a computer-readable storage medium having a computer program stored thereon. The computer program is executed to implement the method for evaluating single-well production. The computer program is capable of executing computer instructions, which include computer program code. The computer program code may be in source code form, object code form, an executable file, or some intermediate form.
[0072] Computer-readable storage media may include: any entity or device that can carry computer program code, recording media, USB flash drives, mobile 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.
[0073] It should be noted that the content contained in computer-readable storage media can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, the content contained in computer-readable storage media does not include electric carrier signals and telecommunication signals.
[0074] In addition, based on the above-mentioned method for evaluating the production status of a single well, an embodiment of the present invention further provides a system for evaluating the production status of a single well (also referred to as a "production status evaluation system").
[0075] Figure 6 This is a block diagram of a system for evaluating the production of a single well according to an embodiment of the present application. Figure 6 As shown, the production situation evaluation system according to the embodiment of the present invention includes: a data collection module 61 , a data processing module 62 and a data analysis module 63 .
[0076] Specifically, the data collection module 61 is implemented according to the method described in step S110 and is configured to collect multiple dynamic production data about the target well; the data processing module 62 is implemented according to the method described in step S120 and is configured to draw a corresponding production change curve with different unit time lengths for each production data, based on which, single well trend analysis information including a deviation curve for each production data is obtained, wherein the deviation is the ratio of the difference between the production change curves with different time lengths to the production change curve of the long-term unit time length; the data analysis module 63 is implemented according to the method described in step S130 and is configured to identify the stable production period and production warning of the current target well based on the single well trend analysis information.
[0077] The present invention discloses a method and system for evaluating the production situation of a single well. Since the acquisition, understanding and analysis of geological and reservoir parameters are the basis for carrying out subsequent engineering practices, in the development process of some oil fields (such as some overseas oil fields), there are disadvantages such as high acquisition costs and long cycles for geological and reservoir data, making it difficult to form a systematic and effective geological and reservoir understanding in a timely manner to guide the actual production situation. In order to overcome the actual difficulties existing in the well site, it is necessary to use production dynamic data for in-depth mining to obtain relative understanding, realize the current reflection of geological and reservoir parameters, and to a certain extent supplement the lack of geological and reservoir understanding. Based on the moving average algorithm, the present invention performs trend analysis on designated indicators of different periods, combines historical events of single wells (such as construction, anomalies, accidents, etc.), establishes a mapping relationship between production status and trend line characteristics, and forms a single well dynamic management and evaluation technology. In addition, the present invention also effectively determines the statistical starting point of the stable production period based on dynamic production data.
[0078] The above description is merely a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by anyone skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.
[0079] In the description of the present invention, unless otherwise specified, "plurality" means two or more; terms such as "upper," "lower," "left," "right," "inner," "outer," "front end," "rear end," "head," and "tail" indicate positions or relationships based on those shown in the accompanying drawings. These terms are intended solely to facilitate the description of the present invention and simplify the description. They do not indicate or imply that the devices or components referred to must have a specific orientation, be constructed, or operate in a specific orientation. Therefore, they should not be construed as limiting the present invention. Furthermore, terms such as "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.
[0080] In the description of the present invention, it should be noted that, unless otherwise expressly specified or limited, the terms "connected" and "connection" should be understood in a broad sense. For example, they can refer to fixed connection, detachable connection, or integral connection; mechanical connection, electrical connection; direct connection, or indirect connection through an intermediary. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on the specific circumstances.
[0081] It should be understood that the embodiments disclosed herein are not limited to the specific structures, processing steps, or materials disclosed herein, but should extend to equivalent substitutions of these features understood by those skilled in the relevant art. It should also be understood that the terminology used herein is for the purpose of describing specific embodiments only and is not intended to be limiting.
[0082] References in this specification to "one embodiment" or "an embodiment" mean that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Therefore, appearances of the phrases "one embodiment" or "an embodiment" in various places throughout this specification do not necessarily refer to the same embodiment.
[0083] Although the embodiments disclosed above are for facilitating understanding of the present invention, the contents described are merely embodiments adopted for facilitating understanding of the present invention and are not intended to limit the present invention. Any person skilled in the art of the present invention may make any modifications and changes in the form and details of the implementation without departing from the spirit and scope of the present invention. However, the scope of patent protection of the present invention shall still be subject to the scope defined by the appended claims.
Claims
1. A method for evaluating the production of a single well, characterized in that: include: Collect multiple dynamic production data on target wells; For each production data item, a corresponding production change curve with different unit time lengths is drawn. Based on this, single-well trend analysis information including the deviation curve of each production data item is obtained, where the deviation is the ratio of the difference between the production change curves with different time lengths to the long-term production change curve per unit time length; Based on the single well trend analysis information, the stable production period and production warning of the current target well are identified.
2. The method according to claim 1, characterized in that The multiple dynamic production data include but are not limited to: daily liquid production, daily oil production, water content and pressure; The deviation curve is the ratio of the difference curve to the production change curve that changes with the first unit time length, and the difference curve is the difference between the production change curve that changes with the second unit time length and the production change curve that changes with the first unit time length, wherein the first unit time length is greater than the second unit time length.
3. The method according to claim 2, characterized in that The production early warning includes: an early warning of unstable formation supply, wherein the step of identifying the stable production period and production early warning of the current target well based on the single well trend analysis information includes: When the fluctuation degree of some areas in the pressure deviation curve is higher than the fluctuation degree of the corresponding area in the liquid production deviation curve and reaches a first threshold, it is determined that the formation begins to have discontinuous liquid supply in the current period, wherein, Combined with the reservoir geological characteristic information of the current abnormal period, the cause category of the current formation supply instability is analyzed, and the causes of the formation supply instability include formation blockage or insufficient formation energy.
4. The method according to claim 2 or 3, characterized in that The production early warning includes water intrusion early warning, wherein the step of identifying the stable production period and production early warning of the current target well based on the single well trend analysis information includes: When the liquid production deviation curve and the pressure deviation curve are both in a stable state, and a part of the oil production deviation curve shows a rapid decline or violent fluctuation, it is determined that water intrusion has occurred in the current period, wherein, Based on the reservoir geological characteristic information during the current abnormal period, analyze whether the current water intrusion is caused by reservoir geology. If not, water plugging or profile adjustment technology must be implemented immediately.
5. The method according to any one of claims 2 to 4, characterized in that The production early warning includes an early warning of mismatch between formation energy and production system, wherein the step of identifying the stable production period and production early warning of the current target well based on the single well trend analysis information includes: If some areas of the liquid production deviation curve or the pressure deviation curve are continuously negative and the current negative area fluctuates slightly, it is determined that the formation energy and production system do not match in the current period. If the phenomenon does not improve after adjusting the production system for the current abnormal period, it is determined that the previous reservoir transformation has entered the failure period.
6. The method according to any one of claims 3 to 5, characterized in that The time when the liquid production deviation is first zero is taken as the starting point of the stable production period of the current target well, and the time before the stable production period is taken as the production ramp-up period.
7. The method according to any one of claims 1 to 6, characterized in that The different unit lengths include but are not limited to: 7 days, 10 days, 15 days, 20 days, 25 days and 30 days.
8. The method according to any one of claims 2 to 6, characterized in that The pressure is the wellhead pressure or the pump suction pressure.
9. The method according to any one of claims 1 to 8, characterized in that The method further comprises: According to the deviation curve of each production data, a region curve of each deviation curve within the first threshold range is used as a stable region.
10. A computer-readable storage medium, characterized in that It contains a series of instructions for executing the method steps according to any one of claims 1 to 9.
11. A system for evaluating the production status of a single well, characterized in that: include: a data collection module configured to collect a plurality of dynamic production data on a target well; A data processing module is configured to draw, for each production data item, a corresponding production change curve that changes with different unit time lengths, and based on this, obtain single well trend analysis information including a deviation curve for each production data item, wherein the deviation is the ratio of the difference between the production change curves with different time lengths to the long-term production change curve per unit time length; The data analysis module is configured to identify the stable production period and production warning of the current target well based on the single well trend analysis information.
Citation Information
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