New method for identifying effect of oil well measures based on straight line analysis of production indexes

Abstract

The present application provides a kind of new method for identifying oil well measure effect based on production index straight line analysis, which includes: step 1, screening the bottom hole flowing pressure and oil production rate monitored in single well oil well production;Step 2, the data screened in step 1 is analyzed and processed to obtain the production index of quantitative measure effect;Step 3, the production index obtained in step 2 and the corresponding time are plotted in double logarithmic coordinate system;Step 4, the graph plotted in step 3 is linearly fitted, and the physical meaning of the inflection point of the straight line is identified in combination with oilfield site information;Step 5, the critical production index is obtained by using the straight line fitted in step 4 to identify the measure effect and the measure effective time.The new method for identifying oil well measure effect based on production index straight line analysis can effectively identify the oil well measure effect, and has the advantages of simple and fast identification, high identification rate, and is easy to popularize and use.

Description

Technical Field

[0001] This invention relates to the field of oil and gas field development technology, and in particular to a new method for identifying the effectiveness of oil well measures based on linear analysis of production indicators. Background Technology

[0002] Currently, most oilfields in my country have entered the mid-to-late stages of production, with medium to high water cut being very common. Pore filling and fluid extraction are common and effective measures to reduce water cut. Identifying the effectiveness of these measures determines whether the reservoir can be developed efficiently, and precise and rational measures must be taken. The current method for evaluating the effectiveness of well measures in oilfields is: a difference of more than 0 between the daily oil production of a single well after the measures and the daily oil production of a single well before the measures is considered an effective measure. However, after the measures are implemented, formation properties and oil displacement energy change. Simply relying on oil production cannot reasonably identify the effectiveness of the measures or reflect the formation's production capacity in a timely manner.

[0003] Chinese patent application CN201710441073.8 discloses an oil well development method and apparatus. The method includes: acquiring multiple production index parameter values ​​for each of multiple oil wells; performing the following operations on each oil well to obtain an oil well classification map: generating a region of the current oil well on a drawing surface with the current oil well's center as the center and a defined boundary as the boundary, thus generating the corresponding oil well classification map; and using the oil well classification maps of multiple oil wells to visually compare the multiple production index parameter values, and guiding oil well development based on the comparison results. In this embodiment of the invention, multiple sets of production index parameter values ​​from different oil wells can be read intuitively and quickly, allowing for a direct comparison of the production indicators of oil wells at different times. This solves the problem of the cumbersome parameter value reading process caused by repeatedly drawing images corresponding to various production index parameter values ​​in the prior art, thereby improving oil well development efficiency.

[0004] Chinese patent application CN201711276720.0 discloses a method for predicting and analyzing oilfield development indicators, comprising: Step 1: Data acquisition; Step 2: Data extraction; Step 3: Indicator calculation; Step 4: Probability statistics and cluster analysis; Step 5: Indicator application. This invention discloses a method for predicting and analyzing oilfield development indicators with the following advantages: 1. For the development of new oilfields and blocks, this method fully utilizes the development and production data of all existing wells in similar oilfields, overcoming the limitations of the typical oil and gas reservoir analogy method in selecting "typical oil and gas reservoirs"; 2. This method complements reservoir engineering methods, using statistical principles and statistical analysis of all sample data from wells in similar oilfields and at the same development stage, enabling the prediction of indicators for oilfield block development on a small scale; 3. The application of this method provides a reliability assessment of the predicted oilfield development indicators.

[0005] Chinese patent application CN202011359625.9 discloses a method for profile control and well selection in narrow-channel offshore reservoirs based on dynamic indicators. This method includes a primary screening based on cumulative oil and water production, and a secondary screening based on daily liquid production and water cut. Based on dynamic indicators, the method categorizes well production characteristics into four types using both cumulative oil and water production deviations. High-oil-high-water wells, low-oil-high-water wells, and low-oil-low-water wells are identified as potential wells. In the second screening, wells with high daily liquid production and high water cut exhibit water channeling characteristics, and corresponding well groups are selected for profile control operations. This method is suitable for narrow-channel offshore reservoirs with rapid lateral changes and complex vertical stacking, offering advantages such as good applicability, high screening efficiency, and accuracy.

[0006] The existing technologies described above are significantly different from the present invention and have failed to solve the technical problem we want to address. Therefore, we have invented a new method for identifying the effectiveness of oil well measures based on linear analysis of production indicators. Summary of the Invention

[0007] The purpose of this invention is to provide a new method for identifying the effectiveness of oil well measures based on linear analysis of production indicators, which utilizes linear analysis to accurately identify the effects of measures, efficiently predict the time when measures take effect, and guide oilfield production.

[0008] The objective of this invention can be achieved through the following technical measures: a novel method for identifying the effectiveness of oil well treatments based on linear analysis of production indicators, comprising:

[0009] Step 1: Screen the bottom hole flowing pressure and oil production rate monitored during the production of a single oil well;

[0010] Step 2: Analyze and process the data selected in Step 1 to obtain production indicators that quantify the effectiveness of the measures;

[0011] Step 3: Plot the production indicators and corresponding times obtained in Step 2 on a double logarithmic coordinate system;

[0012] Step 4: Perform line fitting on the graph drawn in Step 3, and combine it with the field information of the oilfield to identify the physical meaning of the inflection points of the line;

[0013] Step 5: Use the straight line fitted in Step 4 to obtain the critical production index and identify the effectiveness of the measures and the time it takes for the measures to take effect.

[0014] The objective of this invention can also be achieved through the following technical measures:

[0015] In step 1, data on bottom hole flowing pressure and oil production of oil wells are collected. The selected data should follow a logarithmic distribution in the time dimension and be representative. Data from normal production should be selected, and noisy data should be removed to reduce the impact of data noise. These production data will serve as the basis for calculating production indicators and evaluating the formation's oil production capacity.

[0016] In step 2, in order to eliminate the impact of using new formations and increasing production pressure differential on formation oil production capacity, production indicators are defined to accurately reflect formation production capacity; production indicators are calculated using three data: original formation pressure, wellbore bottom-flow pressure, and oil production.

[0017] In step 2, the formula for calculating production targets is as follows:

[0018]

[0019] Where p i This is the original formation pressure, in MPa; p wf This refers to the bottom hole flowing pressure of an oil well, measured in MPa; q o This refers to oil production, in meters (m³). 3 / day; J is the production target, unit: m 3 / (MPa·day).

[0020] In step 3, the production indicators and corresponding times obtained in step 2 are plotted on a logarithmic coordinate graph, with the horizontal axis representing time and the vertical axis representing production indicators.

[0021] In step 4, a linear analysis is performed on the production index-time double logarithmic graph obtained in step 3. The analysis process mainly includes: first, fitting the curve piecewise with lines of different slopes and intercepts according to the trend of the graph; and interpreting and analyzing the inflection points of different lines in conjunction with the implementation time of oilfield field measures and production dynamics.

[0022] In step 4, the production index curve is simplified using linear analysis. The trend of production index changes over time is fitted to the logarithmic coordinate graph using a straight line. The fitting process must conform to the overall trend. Based on the timing of the measures and the understanding of reservoir production dynamics, different stages are divided according to the trend of production index changes. The slope and intercept of the straight line in the same stage are the same, and independent straight lines are used to fit different stages.

[0023] In step 5, at the inflection point reflecting the implementation of the measures, the critical production index J before the implementation of the measures is recorded. c The time when the measures are implemented is t. c ; with J c Plot a baseline for the effectiveness of the measures on a logarithmic graph of production index versus time, with the horizontal axis representing the baseline; the well production time is t. p When t p >tc If the production index J of the oil well ≤ J c , t p This refers to the time when the measure becomes ineffective.

[0024] In step 5, the entire time from the implementation of the measure to its failure is called the measure's effective time T. e The time it takes for measures to take effect can reflect the duration of the effective production increase effect of the measures taken and the rate at which the effect diminishes.

[0025] In step 5, to accurately evaluate the production enhancement effect of the oil well, the average production index during the effective period of the measure is introduced. Unit: m 3 / (MPa·day), the calculation formula is as follows:

[0026]

[0027] Where i is the number of days of production after the implementation of the measures, in days; T e This refers to the time it takes for the measures to take effect, in days; J i This is the production target on the i-th day after the measures take effect, in meters. 3 / (MPa·day); Time T for the measures to take effect e and average production indicators during the effective period of the measures The effectiveness of the measures can be reasonably evaluated.

[0028] This invention presents a novel method for identifying the effectiveness of well interventions based on linear analysis of production indicators. Addressing the problem that current methods relying solely on oil production cannot accurately identify the effectiveness of interventions or promptly reflect formation productivity, this invention eliminates the impact of activating new formations and increasing production pressure differentials on formation productivity. It provides a method that accurately identifies the effectiveness of interventions using only bottom-hole flowing pressure (BHP) and oil production (OilRATE) data. This invention uses bottom-hole flowing pressure and oil production data, based on production indicators, to accurately identify the effectiveness of interventions through linear analysis, efficiently predicting the time it takes for interventions to take effect and guiding oilfield production. This invention defines production indicators to reflect formation productivity and creates a linear analysis method to accurately identify the time it takes for interventions to take effect and their effectiveness. This helps oilfields efficiently quantify the effects of interventions, guiding production departments to rationally adopt and evaluate interventions. Compared with existing technologies, the beneficial effects of this invention are:

[0029] (i) Define production indicators to accurately reflect the formation's oil production capacity.

[0030] Pore ​​filling and fluid extraction have become common practices in oilfields to increase production capacity and reduce water cut. However, pore filling utilizes new reservoirs, and fluid extraction amplifies the production pressure differential; both of these measures alter the formation's oil-producing capacity. Simply relying on oil production figures cannot accurately reflect these changes. The production indicators defined in this invention accurately reflect the formation's oil-producing capacity, eliminating the impact of changes in formation properties.

[0031] (ii) Invent a linear analysis method based on production indicators to simplify the process of analyzing the effects of measures.

[0032] Compared to the complex fluctuations in oil well production data, the analysis of the effects of measures using linear analysis methods is much simpler. Furthermore, based on the concepts of critical production indicators and standard lines for measure effectiveness proposed in this invention, the failure time of measures can be accurately identified, guiding oilfield production departments to make rational decisions.

[0033] (III) Utilize the fitted straight line to reasonably predict the failure time of the measures.

[0034] For oil wells where the measures have not yet failed, linear analysis can be used to predict the trend of production indicators over time after the measures are implemented. The x-coordinate of the intersection of the predicted line and the standard line of measure effectiveness represents the time of measure failure. This helps guide oilfield production departments to make reasonable adjustments based on the time of measure failure and to implement measures in a timely manner. Attached Figure Description

[0035] Figure 1 A flowchart of a specific embodiment of the novel method for identifying the effectiveness of oil well measures based on linear analysis of production indicators according to the present invention;

[0036] Figure 2 This is a double logarithmic image of production indicators and time based on production indicator analysis in a specific embodiment of the present invention;

[0037] Figure 3 This is a diagram showing the inflection point division of a straight line based on the linear analysis of production indicators in a specific embodiment of the present invention;

[0038] Figure 4 This is an evaluation diagram of the effect of oil well perforation measures based on linear analysis of production indicators in a specific embodiment of the present invention;

[0039] Figure 5 This is a 3D view of a numerical model of a reservoir block in a specific embodiment of the present invention;

[0040] Figure 6 This is a logarithmic image of production indicators and time for a certain block based on production indicator analysis in a specific embodiment of the present invention;

[0041] Figure 7This is an evaluation diagram of the effect of hole filling and liquid lifting measures based on linear analysis of production indicators in a certain block in a specific embodiment of the present invention. Detailed Implementation

[0042] It should be noted that the following detailed descriptions are exemplary and intended to provide further illustration of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0043] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments of the present invention. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, and / or combinations thereof.

[0044] This invention is a novel method for identifying the effectiveness of oil well treatment measures based on linear analysis of production indicators. The implementation steps include: Step 1: Screening the bottomhole flowing pressure and oil production rate monitored during single-well production as input data for Step 2. Step 2: Analyzing and processing the data input in Step 1 to obtain production indicators that quantify the effectiveness of treatment measures, which serve as input data for Step 3. Step 3: Plotting the production indicators and corresponding times input in Step 2 on a double logarithmic coordinate system. Step 4: Performing linear fitting on the plotted graph from Step 3, and combining this with field information from the oilfield to identify the physical meaning of the inflection points on the line. Step 5: Using the line fitted in Step 4 to obtain critical production indicators, identifying the effectiveness of treatment measures and the time it takes for these measures to take effect. This invention not only effectively identifies the effectiveness of oil well treatment measures but also has the advantages of simple and rapid identification, high identification rate, and ease of widespread application.

[0045] The following are several specific embodiments of the application of the present invention.

[0046] Example 1

[0047] In a specific embodiment 1 of the present invention, such as Figure 1 As shown, Figure 1 This is a flowchart of a novel method for identifying the effectiveness of oil well treatments based on linear analysis of production indicators, as per the present invention. This novel method for identifying the effectiveness of oil well treatments based on linear analysis of production indicators includes the following steps:

[0048] Step 1: First, obtain data on bottomhole flowing pressure and oil production. This production data will serve as the basis for calculating production indicators and evaluating the formation's oil production capacity. The selected production data should follow a logarithmic distribution over time and be representative to reduce the impact of data noise.

[0049] Step Two: To eliminate the impact of utilizing new formations and increasing production pressure differentials on formation oil production capacity, this invention defines production indicators to accurately reflect the formation's production capacity. The production indicators are calculated using three data points: original formation pressure, wellbore bottom-hole flowing pressure, and oil production, and serve as the input data for Step Three. The calculation formula for the production indicators is as follows:

[0050]

[0051] Where p i This is the original formation pressure, in MPa; p wf This refers to the bottom hole flowing pressure of an oil well, measured in MPa; q o This refers to oil production, in meters (m³). 3 / day; J is the production target, unit: m 3 / (MPa·day).

[0052] Step 3: Plot the production indicators and corresponding times entered in Step 2 on a logarithmic coordinate graph, with the horizontal axis representing time and the vertical axis representing production indicators.

[0053] Step 4: Perform linear analysis on the double logarithmic graph of production indicators and time obtained in Step 3. The analysis process mainly includes: first, fitting the curve piecewise with lines of different slopes and intercepts based on the trend of the graph; and interpreting and analyzing the inflection points of different lines in conjunction with the implementation time of oilfield field measures and production dynamics.

[0054] Step 5: At the inflection point reflecting the implementation of the measures, record the critical production index J before the implementation of the measures. c The time when the measures are implemented is t. c J c Plot a baseline for the effectiveness of the measures on a double logarithmic plot of production index versus time, with the horizontal axis representing the baseline. The well production time is t. p When t p >t c If the production index J of the oil well ≤ J c , t p This refers to the time when the measure becomes ineffective.

[0055] Example 2

[0056] In a specific embodiment 2 of the present invention, the new method for identifying the effectiveness of oil well measures based on linear analysis of production indicators includes the following steps:

[0057] Step 1: Collect oil well production data and perform data preprocessing. Based on a specific oilfield block, collect data on bottom hole flowing pressure and oil production from oil wells. The selected data should, as far as possible, follow a logarithmic distribution in the time dimension. Additionally, select data from normal production periods and remove noisy data (such as shut-in shutdowns and workovers) to reduce the impact of data noise. This production data will serve as the basis for calculating production indicators and evaluating the formation's oil production capacity. Using the geological parameters of this block, a reservoir numerical model was established, and measures such as perforation repair and fluid extraction were implemented. This invention uses this numerical model as an example to demonstrate the method. Perforation repair is achieved by increasing the perforation level of the oil wells, and fluid extraction is achieved by reducing the bottom hole flowing pressure of the oil wells.

[0058] Step two, calculate production indicators at different production times. The production indicators are calculated using three data points: initial formation pressure, bottomhole flowing pressure, and oil production. These data will serve as input data for step three. The formulas for calculating the production indicators are as follows:

[0059]

[0060] Where p i This is the original formation pressure, in MPa; p wf This refers to the bottom hole flowing pressure of an oil well, measured in MPa; q o This refers to oil production, in meters (m³). 3 / day; J is the production target, unit: m 3 / (MPa·day).

[0061] Step 3: Plot a log-time production index graph. Plot the production indexes input in Step 2 and their corresponding times on a log-time coordinate graph. The horizontal axis represents time (days); the vertical axis represents the production index of the oil well at the corresponding production time (m³). 3 / (MPa·day).

[0062] Step four: Simplify the production index curve using linear analysis. Fit a straight line to the trend of production index changes over time in the logarithmic coordinate graph, ensuring the fitting process conforms to the overall trend. Based on the timing of the intervention and the understanding of reservoir production dynamics, divide the process into different stages according to the trend of production index changes. Lines within the same stage have the same slope and intercept; independent straight lines are used for fitting different stages. Simultaneously, the slope of the straight line can be used to determine the rate of decay of the intervention's effect.

[0063] Step 5: Evaluate the effectiveness of the well treatment. The entire time from the implementation of the treatment to its failure is called the effective time T. e The time it takes for a measure to take effect reflects the duration of its effective production-enhancing effect and the rate at which its effect diminishes. To accurately evaluate the production-enhancing effect on oil wells, an average production index during the effective period of the measure is introduced. Unit: m 3 / (MPa·day), the calculation formula is as follows:

[0064]

[0065] Where i is the number of days of production after the implementation of the measures, in days; T e This refers to the time it takes for the measures to take effect, in days; J i This is the production target on the i-th day after the measures take effect, in meters. 3 / (MPa·day). Time T for the measures to take effect. e and average production indicators during the effective period of the measures The effectiveness of the measures can be reasonably evaluated.

[0066] Example 3

[0067] In a specific embodiment 3 of the present invention, the new method for identifying the effectiveness of oil well measures based on linear analysis of production indicators includes the following steps:

[0068] Step 1: Collect oil well production data and perform data preprocessing. Based on a specific oilfield block, collect data on bottom hole flowing pressure and oil production. The selected data should, as far as possible, follow a logarithmic distribution in the time dimension. Additionally, select data from normal production periods and remove noisy data (such as well shut-in shutdowns and workovers) to reduce the impact of data noise, as shown in Table 1.

[0069] Table 1 Production Data of a Certain Block

[0070]

[0071] These production data will serve as the basis for calculating production indicators and evaluating the oil-producing capacity of the formation. Using the geological parameters of this block, a reservoir numerical model was established, and measures such as perforation and fluid extraction were implemented. This invention uses this numerical model as an example to demonstrate the method. The basic parameters of the reservoir numerical model are shown in Table 2.

[0072] Table 2. Basic Data of Numerical Model for a Certain Oil Reservoir Block

[0073]

[0074]

[0075] Perforation repair is achieved by increasing the perforation depth of the oil well, and fluid production is achieved by reducing the bottomhole flowing pressure. The 3D numerical model of the reservoir is shown below. Figure 5 As shown.

[0076] Step two, calculate production indicators at different production times. The production indicators are calculated using three data points: initial formation pressure, bottomhole flowing pressure, and oil production. These data will serve as input data for step three. The formulas for calculating the production indicators are as follows:

[0077]

[0078] Where p i This is the original formation pressure, in MPa; p wf This refers to the bottom hole flowing pressure of an oil well, measured in MPa; q o This refers to oil production, in meters (m³). 3 / day; J is the production target, unit: m 3 / (MPa·day).

[0079] Step 3: Plot a logarithmic graph of production indicators versus time. For example... Figure 2 Plot the production indicators input in step two and their corresponding times on a logarithmic coordinate graph. The horizontal axis represents time (days), and the vertical axis represents the production indicators of the oil well at the corresponding production time (m³). 3 / (MPa·day). The production index-time double logarithmic graph of this model is as follows: Figure 6 As shown.

[0080] Step four: Simplify the production indicator curve using linear analysis. For example... Figure 3 Using straight lines Figure 6 The trend of production indicators over time is fitted, and the fitting process must conform to the overall trend. Based on the timing of the measures and the understanding of reservoir production dynamics, different stages are divided according to the trend of production indicator changes. Lines within the same stage have the same slope and intercept; independent lines are used for fitting different stages. For example... Figure 7 As shown, the first inflection point indicates water breakthrough in the low-permeability layer, the second inflection point indicates the implementation of perforation repair measures, the third inflection point indicates water breakthrough in the high-permeability layer, and the fourth inflection point indicates the implementation of liquid extraction measures. Furthermore, the slope of the straight line can be used to determine the rate of decline in the effectiveness of these measures.

[0081] Step 5: Evaluate the effectiveness of the well intervention measures. For example... Figure 4 The entire time from the implementation of a measure to its expiration is called the measure's effective time, T. e The time it takes for a measure to take effect reflects the duration of its effective production-enhancing effect and the rate at which its effect diminishes. To accurately evaluate the production-enhancing effect on oil wells, an average production index during the effective period of the measure is introduced. Unit: m 3 / (MPa·day), the calculation formula is as follows:

[0082]

[0083] Where i is the number of days of production after the implementation of the measures, in days; T e This refers to the time it takes for the measures to take effect, in days; J i This is the production target on the i-th day after the measures take effect, in meters.3 / (MPa·day). Time T for the measures to take effect. e and average production indicators during the effective period of the measures The effectiveness of the measures can be reasonably evaluated.

[0084] Finally, it should be noted that the above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

[0085] Except for the technical features described in the specification, all other technologies are known to those skilled in the art.

Claims

1. A new method for identifying the effect of oil well measures based on straight-line analysis of production indicators, characterized in that, This new method for identifying the effectiveness of oil well interventions based on linear analysis of production indicators includes: Step 1: Screen the bottom hole flowing pressure and oil production rate monitored during the production of a single oil well; Step 2: Analyze and process the data selected in Step 1 to obtain production indicators that quantify the effectiveness of the measures. These include: defining production indicators to accurately reflect the formation's production capacity in order to eliminate the impact of using new formations and increasing production pressure differential on formation oil production capacity; and calculating production indicators using three data points: original formation pressure, bottom hole flowing pressure of oil wells, and oil production. The formula for calculating production targets is as follows: ； wherein is the initial formation pressure, units: ; is the oil well bottom hole flowing pressure, units: ; is the oil production, units: ; is the production index, units: ; Step 3: Plot the production indicators and corresponding times obtained in Step 2 on a double logarithmic coordinate system; Step 4: Perform line fitting on the graph drawn in Step 3, and combine it with the field information of the oilfield to identify the physical meaning of the inflection points of the line; Step 5: Use the straight line fitted in Step 4 to obtain the critical production index, identify the effect of the measures and the time when the measures take effect, including: recording the critical production index before the implementation of the measures at the inflection point reflecting the implementation of the measures. The time when the measures are implemented is ;by Plot a baseline for the effectiveness of the measures on a logarithmic graph of production index and time, with the horizontal axis representing the baseline; the well production time is... ,when If the production index of the oil well , That is, the time when the measure becomes ineffective; The entire time from the implementation of a measure to its expiration is called the measure's effective time. The time it takes for measures to take effect can reflect the duration of the effective production-increasing effect of the measures taken and the rate at which the effect diminishes. To accurately evaluate the production enhancement effect of oil wells, the average production index during the effective period of the measures is introduced. ,unit: The calculation formula is as follows: ； in This refers to the number of days of production after the measures were implemented, in units of: ; This refers to the time it takes for the measures to take effect, in units of: ; The first after the measures take effect Daily production targets, in units: Time it takes for the measures to take effect and average production indicators during the effective period of the measures The effectiveness of the measures can be reasonably evaluated.

2. The novel method for identifying the effectiveness of oil well measures based on linear analysis of production indicators according to claim 1, characterized in that, In step 1, data on bottom hole flowing pressure and oil production of oil wells are collected. The selected data should follow a logarithmic distribution in the time dimension and be representative. Data from normal production should be selected, and noisy data should be removed to reduce the impact of data noise. These production data will serve as the basis for calculating production indicators and evaluating the formation's oil production capacity.

3. The novel method for identifying the effectiveness of oil well measures based on linear analysis of production indicators according to claim 1, characterized in that, In step 3, the production indicators and corresponding times obtained in step 2 are plotted on a logarithmic coordinate graph, with the horizontal axis representing time and the vertical axis representing production indicators.

4. The novel method for identifying the effectiveness of oil well measures based on linear analysis of production indicators according to claim 1, characterized in that, In step 4, a linear analysis is performed on the production index-time double logarithmic graph obtained in step 3. The analysis process mainly includes: first, fitting the curve piecewise with lines of different slopes and intercepts according to the trend of the graph; and interpreting and analyzing the inflection points of different lines in conjunction with the implementation time of oilfield field measures and production dynamics.

5. The novel method for identifying the effectiveness of oil well measures based on linear analysis of production indicators according to claim 1, characterized in that, In step 4, the production index curve is simplified using linear analysis. The trend of production index changes over time is fitted to the logarithmic coordinate graph using a straight line. The fitting process must conform to the overall trend. Based on the timing of the measures and the understanding of reservoir production dynamics, different stages are divided according to the trend of production index changes. The slope and intercept of the straight line in the same stage are the same, and independent straight lines are used to fit different stages.

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