Operation and maintenance management system, method and device combining energy consumption analysis and operation optimization

Abstract

The present invention discloses an operation and maintenance management system, method and device combining energy consumption analysis and operation optimization, and relates to the technical field of operation optimization management of steam injection boilers. The method comprises the following steps: collecting basic data of heavy oil resources in the current exploitation area, and recording the steam injection exploitation points of the steam injection boilers in the current exploitation area, dividing the initial heating stage and the continuous heating stage, and recording the daily steam injection volume intervals of different points; statistically analyzing the daily steam injection volume intervals and oil collection volume intervals of different steam injection exploitation points in the continuous heating stage, calculating the initial oil daily collection volume intervals of different steam injection exploitation points, and calculating the initial energy consumption intervals in combination with the steam volume intervals. The present invention optimizes the operation of steam use of steam injection boilers in the heavy oil exploitation process by combining the steam energy consumption conversion ratio of steam injection boilers in the heavy oil exploitation process, optimizes resource utilization and cost control, and reduces the wear and maintenance of equipment caused by frequent adjustment of steam injection boilers.

Description

Technical Field

[0001] The present invention relates to the technical field of steam injection boiler operation optimization management, and in particular to an operation and maintenance management system, method and device combining energy consumption analysis with operation optimization. Background Art

[0002] Heavy oil production refers to the production of special crude oil resources such as heavy oil. Heavy oil refers to a type of crude oil with high viscosity and high density. It is necessary to continuously heat the heavy oil during the production process so that the heavy oil can reach the production level. The steam injection boiler is a very critical equipment in the heavy oil production process. It is mainly used to provide high-temperature and high-pressure steam for thermal production of heavy oil.

[0003] In the traditional steam-driven heavy oil production process, the steam injection boiler often evenly distributes the steam injection volume among multiple steam injection production points in the heavy oil production area, and blindly increases the steam injection volume to ensure oil production when the production volume decreases. The lack of an operation optimization method based on energy consumption analysis is not conducive to the configuration optimization of steam injection boiler resources. It is impossible to determine the operation collection status of the steam injection production point and combine it with the adjusted energy consumption conversion ratio to optimize the operation of the steam injection boiler, which limits the improvement of economic benefits.

[0004] Currently, no effective solution has been proposed for the problems in the related technologies. Summary of the invention

[0005] In response to the problems in the related art, the present invention proposes an operation and maintenance management system, method and device that combine energy consumption analysis and operation optimization to overcome the above-mentioned technical problems existing in the existing related art.

[0006] To this end, the specific technical solution adopted by the present invention is as follows:

[0007] The operation and maintenance management method combining energy consumption analysis and operation optimization includes the following steps:

[0008] S1. Collect basic data on heavy oil resources in the current mining area, and record the steam injection mining points of the steam injection boilers in the current mining area, divide the initial heating stage and the continuous heating stage, and record the daily steam injection volume range at different points

[0009] S2. Statistic the daily steam injection volume intervals and oil collection volume intervals of different steam injection production points in the continuous heating stage, calculate the initial daily oil collection volume intervals of different steam injection production points, calculate the initial energy consumption intervals in combination with the steam volume intervals, and perform energy consumption analysis on the steam injection production points in the current production area;

[0010] S3. For different steam injection production points, based on the set optimization ratio threshold, the operating status of the steam injection production point is determined, the steam injection amount of the abnormal point is adjusted, and the output conversion ratio is recalculated. Combined with the output conversion ratios of other steam injection production points in the area, the operation of the steam injection boiler in the current area is optimized.

[0011] As a preferred embodiment, S2 comprises the following steps:

[0012] S21, collecting the oil production volume within N days at different steam injection production points in the current heavy oil production area, and calculating the initial daily oil production volume range of different steam injection production points respectively, the specific steps are:

[0013] For each steam injection production point, calculate the average daily oil production within the data collection period N days. The algorithm formula is:

[0014]

[0015] Where q represents the number of the steam injection production point in the current heavy oil production area, N is the number of days for collection, represents the oil production volume of the steam injection production point numbered q on the i-th day, through the average daily oil production volume Calculate the standard deviation S of the oil production volume at the current numbered steam injection production point q :

[0016]

[0017] Based on the standard deviation of oil production S q , and obtain the initial daily oil collection range of steam injection production points under different numbers q in

[0018] S22. Based on the daily steam injection volume range of different steam injection production points in the current heavy oil production area, combined with the initial daily oil collection volume range of different steam injection production points, the energy consumption conversion range of different steam injection production points is calculated respectively. Combined with the energy consumption conversion range values ​​of different steam injection production points in the current heavy oil production area, the steam injection production points are divided into historical level grades.

[0019] As a preferred embodiment, the S22 comprises the following steps:

[0020] S221. Daily steam injection range for different steam injection production points in the continuous heating stage of the current heavy oil production area And the initial daily oil production range of different steam injection production points Calculating the energy consumption conversion range of different steam injection production points includes the following steps:

[0021] For the steam injection production point numbered q, the energy consumption conversion upper limit is obtained according to the maximum value of the injected steam volume interval and the minimum value of the initial daily oil production volume interval:

[0022]

[0023] in, The energy consumption conversion upper limit of the steam injection production point numbered q, i.e., the theoretical maximum energy consumption conversion value, is the maximum value of steam consumed per unit of oil collected at the current steam injection production point numbered q;

[0024] According to the minimum value of the injected steam volume interval and the maximum value of the initial daily oil production volume interval, the lower limit of energy consumption conversion is obtained:

[0025]

[0026] in, The lower limit of energy consumption conversion for the steam injection production point numbered q, i.e., the theoretical minimum energy consumption conversion value, is the minimum value of steam consumed per unit of oil collected at the current steam injection production point numbered q. Based on the upper and lower limits of energy consumption conversion, the energy consumption range of the continuous heating stage for different steam injection production points in the current heavy oil production area is obtained.

[0027] S222, calculating representative values ​​of energy consumption intervals of different steam injection production points in the current heavy oil production area, and classifying the current heavy oil production area into historical level grades according to the size of the representative values, the specific steps of which are:

[0028] Energy consumption range according to different steam injection production points The representative value is calculated using the following algorithm:

[0029]

[0030] in, The representative value of energy consumption for the steam injection production point numbered q is based on The steam injection production points in the current heavy oil production area are arranged in ascending order by the values;

[0031] S223, for the representative energy consumption values ​​of steam injection production points arranged in ascending order, the quantile method is used to select The quantiles of are used as the division thresholds θ1 and θ2, where n represents the total number of steam injection production points in the current heavy oil production area:

[0032] when When , it means that the energy consumption efficiency of the current steam injection mining point is excellent;

[0033] when When , it means that the energy consumption efficiency of the current steam injection mining point is good;

[0034] when , it means that the energy consumption efficiency of the current steam injection production point is average.

[0035] As a preferred implementation, the S222 includes the following steps:

[0036] S2221. Collect the representative energy consumption data of historical heavy oil production and select The quantile of is used as the historical threshold λ1 and λ2, where L is the number of historical heavy oil production energy consumption representative value data collected;

[0037] S2222, comparing the historical division thresholds λ1, λ2 with the division thresholds θ1, θ2, and determining the historical level of the current heavy oil production area, the specific steps are:

[0038] When θ2≤λ1, it means that the historical level of the current heavy oil production area is level one;

[0039] When θ1≤λ1 and θ2≤λ2, it means that the historical level of the current heavy oil production area is level 2;

[0040] When λ1<θ1≤λ2 and θ2≤λ2, it means that the historical level of the current heavy oil production area is level 3;

[0041] When λ1<θ1≤λ2 and θ2>λ2, it means that the historical level of the current heavy oil production area is level 4;

[0042] When θ1>λ2, it means that the historical level of the current heavy oil production area is level five.

[0043] As a preferred embodiment, S3 comprises the following steps:

[0044] S31, for the initial oil collection volume interval of different steam injection production points in the current heavy oil production area, calculate the abnormal fluctuation value based on the proportion threshold, and determine the operation and collection status of different steam injection production points;

[0045] S32. By adjusting the steam injection amount of the steam injection boiler at the abnormal steam injection production point, recalculating the adjusted output energy consumption ratio, and combining the adjusted output energy consumption conversion ratio of other steam injection points in the current heavy oil production area, the operation optimization management of steam injection of the steam injection boiler in the current heavy oil production area is carried out.

[0046] As a preferred implementation, the S31 includes the following steps:

[0047] S311, based on the ratio threshold, the initial oil production volume interval of different steam injection production points in the current heavy oil production area is calculated for abnormal fluctuation value, and the specific algorithm formula is:

[0048] The initial daily oil production range for the steam injection production point numbered q Based on the ratio threshold β, calculate the abnormal fluctuation value:

[0049]

[0050] in, represents the fluctuation value of oil production at the steam injection production point numbered q;

[0051] S312, combining the historical level of the current heavy oil production area, specifically adjusting the ratio threshold β, wherein the ratio threshold for the heavy oil production area with a historical level of one is β×α1, the ratio threshold for the heavy oil production area with a historical level of two is β×α2, the ratio threshold for the heavy oil production area with a historical level of three is β×α3, the ratio threshold for the heavy oil production area with a historical level of four is β×α4, and the ratio threshold for the heavy oil production area with a historical level of five is β×α5, wherein α1, α2, α3, α4, and α5 are scaled values ​​of the ratio threshold β;

[0052] S313, through abnormal fluctuation value The specific steps for determining the operation and collection status of different steam injection and production points are as follows:

[0053] For the steam injection production point numbered q, collect the daily oil production volume φ q , when X consecutive daysφ q All less than This means that the steam injection and production point numbered q has an abnormality and needs to be optimized.

[0054] As a preferred embodiment, the S32 comprises the following steps:

[0055] S321, for the steam injection production point determined to be abnormal, adjust the steam injection amount of the current abnormal point so that the oil production at the current abnormal point is restored to the initial daily oil production range, and calculate the energy consumption conversion ratio, the specific steps are:

[0056] Count the oil production for X consecutive days and calculate the average production after reduction Combined with the initial daily oil production range of the current steam injection production point Calculate the initial representative value

[0057]

[0058] Among them, Δφ q To adjust the oil production to compensate, ΔZ qis the change in steam injection volume, ΔE q represents the adjusted energy conversion ratio;

[0059] S322. Arrange the adjusted energy consumption conversion ratios of the current steam injection production points in ascending order, and perform steam injection optimization adjustments in sequence according to the upper limit of the steam volume of the steam injection boiler, giving priority to satisfying the steam injection production points that are ranked first.

[0060] As a preferred implementation, the S322 includes the following steps:

[0061] S3221. Based on the historical level of the current heavy oil production areas, optimize the operation of all heavy oil production areas in the overall area, and meet the steam injection needs of the primary, secondary, tertiary, quaternary and fifth heavy oil production areas in turn based on the historical level of the heavy oil production areas.

[0062] The operation and maintenance management system that combines energy consumption analysis and operation optimization includes data acquisition module, point energy consumption analysis module, abnormal production identification module, steam injection volume adjustment module, and operation optimization module:

[0063] The data acquisition module is used to collect basic data of heavy oil resources in the current production area, including reservoir permeability, porosity, reservoir pressure, and reservoir temperature, and record the steam injection production points of the steam injection boiler in the current production area, divide the initial heating stage and the continuous heating stage, and record the daily steam injection volume intervals at different points;

[0064] The point energy consumption analysis module collects the oil production within N days of different steam injection production points in the current heavy oil production area, calculates the initial daily oil production range of different steam injection production points, and calculates the energy consumption conversion range of different steam injection production points in combination with the daily steam injection volume range of different steam injection production points in the current heavy oil production area;

[0065] The abnormal production identification module calculates the abnormal fluctuation value based on the ratio threshold for the initial oil collection volume interval of different steam injection production points in the current heavy oil production area, determines the operation and collection status of different steam injection production points, and identifies the abnormal steam injection production points;

[0066] The steam injection amount adjustment module adjusts the steam injection amount of the current abnormal point for the steam injection production point determined to be abnormal, so that the oil production volume of the current abnormal point is restored to the initial daily oil production volume range;

[0067] The operation optimization module calculates the energy consumption conversion ratio of the abnormal steam injection production point, sets the adjustment priority of the steam injection boiler based on the energy consumption conversion ratio and the historical level of the current heavy oil production area, and optimizes the operation of the steam injection boiler.

[0068] An operation and maintenance management device combining energy consumption analysis and operation optimization is applied to an operation and maintenance management system combining energy consumption analysis and operation optimization, including a memory, a processor, and a program stored in the memory and executable on the processor. When the processor executes the program, the steps in the operation and maintenance management system combining energy consumption analysis and operation optimization as described in the present invention are implemented.

[0069] The beneficial effects of the present invention are:

[0070] 1. The present invention analyzes the energy consumption of steam injection production points, calculates the energy consumption conversion interval, divides the production points into historical level grades by combining representative value calculation and quantile method, and determines the historical level of the current area by combining historical thresholds, so as to reflect the steam energy consumption utilization of each steam injection boiler steam injection operation point in the current heavy oil production area;

[0071] 2. The present invention collects information on steam injection production points during the continuous steam heating stage in the heavy oil production process, determines abnormal production points based on the operating conditions of different production points and the historical level of the overall region, and optimizes the operation of the steam injection link in combination with the energy consumption conversion ratio, thereby avoiding blind steam injection in the traditional heavy oil production process, optimizing the operation of the steam injection boiler, optimizing resource utilization and cost control, and enhancing functionality and practicality;

[0072] 3. The present invention sets different proportional thresholds for points with different energy efficiency and historical levels, allowing points with average energy efficiency to have a larger fluctuation range, avoiding frequent adjustments to the steam injection boiler, and reducing the wear and maintenance of equipment caused by frequent adjustments to the steam injection boiler;

[0073] 4. The present invention can timely discover abnormal situations such as continuous decline in oil production by judging the operation and collection status of different steam injection production points. When abnormalities occur, the operation of the steam injection boiler can be quickly optimized, the production strategy can be adjusted, and the production stability can be ensured, with priority given to ensuring stable production at steam injection production points with high energy efficiency;

[0074] 5. The present invention can evaluate the most economically efficient steam injection production point in the current area by calculating the energy consumption conversion ratio after supplementing the change value of the steam injection amount, so as to ensure that when the total amount of steam injection of the steam injection boiler is fixed, the steam injection production point with excellent energy consumption conversion ratio is given priority for heavy oil production, thereby enhancing practicality and improving economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0076] Figure 1 is a flow chart of an operation and maintenance management method combining energy consumption analysis and operation optimization according to an embodiment of the present invention;

[0077] Figure 2 It is a block diagram of an operation and maintenance management system combining energy consumption analysis and operation optimization according to an embodiment of the present invention. DETAILED DESCRIPTION

[0078] To further illustrate each embodiment, the present invention provides drawings, which are part of the disclosure of the present invention and are mainly used to illustrate the embodiments and can be used in conjunction with the relevant descriptions in the specification to explain the operating principles of the embodiments. With reference to these contents, ordinary technicians in the field should be able to understand other possible implementations and advantages of the present invention. The components in the figures are not drawn to scale, and similar component symbols are generally used to represent similar components.

[0079] According to an embodiment of the present invention, an operation and maintenance management system, method and device combining energy consumption analysis and operation optimization are provided.

[0080] The present invention is further described with reference to the accompanying drawings and specific embodiments:

[0081] Embodiment 1:

[0082] like Figure 1 As shown, according to the operation and maintenance management method combining energy consumption analysis and operation optimization according to an embodiment of the present invention, the method includes the following steps:

[0083] S1. Collect basic data on heavy oil resources in the current mining area, and record the steam injection mining points of the steam injection boilers in the current mining area, divide the initial heating stage and the continuous heating stage, and record the daily steam injection volume range at different points

[0084] It should be noted that the daily steam injection range at different points middle, represents the minimum daily steam injection volume of the steam injection and collection point numbered q, It represents the maximum daily steam injection volume of the steam injection collection point numbered q. The basic data of heavy oil resources include the reservoir permeability, porosity, reservoir pressure, reservoir temperature, etc. in the current area. According to Darcy's law and heat and mass transfer theory, the flow and heat transfer process of steam in the reservoir is described. Combined with the current reservoir permeability, porosity, crude oil viscosity and other parameters, the efficiency of steam displacement of crude oil and the required daily steam injection volume range are calculated. From the beginning of the steam injection boiler injecting heat medium into the oil layer, until the viscosity of the heavy oil in the oil layer is reduced to a certain extent and obvious crude oil production begins, the continuous heating stage is to maintain the temperature in the oil layer on the basis of the initial heating to make the heavy oil start to flow, so as to keep the low viscosity state and good fluidity of the heavy oil.

[0085] S2. Statistic the daily steam injection volume intervals and oil collection volume intervals of different steam injection production points in the continuous heating stage, calculate the initial daily oil collection volume intervals of different steam injection production points, calculate the initial energy consumption intervals in combination with the steam volume intervals, and perform energy consumption analysis on the steam injection production points in the current production area;

[0086] S21, collecting the oil production volume within N days at different steam injection production points in the current heavy oil production area, and calculating the initial daily oil production volume range of different steam injection production points respectively, the specific steps are:

[0087] For each steam injection production point, calculate the average daily oil production within the data collection period N days. The algorithm formula is:

[0088]

[0089] Among them, q represents the number of the steam injection production point in the current heavy oil production area, N is the number of days for collection, represents the oil production volume of the steam injection production point numbered q on the i-th day, through the average daily oil production volume Calculate the standard deviation S of the oil production volume at the current numbered steam injection production point q :

[0090]

[0091] Based on the standard deviation of oil production S q , and obtain the initial daily oil collection range of steam injection production points under different numbers q in

[0092] It should be noted that at the 95% confidence level, the initial daily oil production range is Among them, 1.96 is the bilateral quantile corresponding to the 95% confidence level in the standard normal distribution. By calculating this interval, it means that the daily oil production volume of the steam injection production point numbered q has a 95% probability of falling within this range, which provides data support for the subsequent energy consumption analysis and operation optimization management of different steam injection production points. The value of N is 30, which means that the daily oil production volume of different steam injection production points within 30 days in the continuous heating stage of the current heavy oil production area is collected to calculate the initial daily oil production volume range of different steam injection points in the continuous heating stage.

[0093] S22, based on the daily steam injection volume intervals of different steam injection production points in the current heavy oil production area, combined with the initial daily oil collection volume intervals of different steam injection production points, respectively calculate the energy consumption conversion intervals of different steam injection production points, and combine the energy consumption conversion interval values ​​of different steam injection production points in the current heavy oil production area to classify the steam injection production points into historical level grades;

[0094] S221. Daily steam injection range for different steam injection production points in the continuous heating stage of the current heavy oil production area And the initial daily oil production range of different steam injection production points Calculating the energy consumption conversion range of different steam injection production points includes the following steps:

[0095] For the steam injection production point numbered q, the energy consumption conversion upper limit is obtained according to the maximum value of the injected steam volume interval and the minimum value of the initial daily oil production volume interval:

[0096]

[0097] in, The energy consumption conversion upper limit of the steam injection production point numbered q, i.e., the theoretical maximum energy consumption conversion value, is the maximum value of steam consumed per unit of oil collected at the current steam injection production point numbered q;

[0098] According to the minimum value of the injected steam volume interval and the maximum value of the initial daily oil production volume interval, the lower limit of energy consumption conversion is obtained:

[0099]

[0100] in, The lower limit of energy consumption conversion for the steam injection production point numbered q, i.e., the theoretical minimum energy consumption conversion value, is the minimum value of steam consumed per unit of oil collected at the current steam injection production point numbered q. Based on the upper and lower limits of energy consumption conversion, the energy consumption range of the continuous heating stage for different steam injection production points in the current heavy oil production area is obtained.

[0101] It should be noted that theoretically, the least amount of steam is injected and the most oil is collected, which means the highest economic benefit and the best energy consumption conversion ratio. The lower it is, the less energy is consumed for each unit of oil collected under ideal conditions. Energy consumption is usually accompanied by cost expenditure. For example, the generation of steam requires the consumption of coal, natural gas and other energy sources. Reduced energy consumption means lower mining costs.

[0102] S222, calculating representative values ​​of energy consumption intervals of different steam injection production points in the current heavy oil production area, and classifying the current heavy oil production area into historical level grades according to the size of the representative values, the specific steps of which are:

[0103] Energy consumption range according to different steam injection production points The representative value is calculated using the following algorithm:

[0104]

[0105] in, The representative value of energy consumption of the steam injection production point numbered q is based on The steam injection production points in the current heavy oil production area are arranged in ascending order by the values;

[0106] S2221. Collect the representative energy consumption data of historical heavy oil production and select The quantile of is used as the historical threshold λ1 and λ2, where L is the number of historical heavy oil production energy consumption representative value data collected;

[0107] S2222, comparing the historical division thresholds λ1, λ2 with the division thresholds θ1, θ2, and determining the historical level of the current heavy oil production area, the specific steps are:

[0108] When θ2≤λ1, it means that the historical level of the current heavy oil production area is level one;

[0109] When θ1≤λ1 and θ2≤λ2, it means that the historical level of the current heavy oil production area is level 2;

[0110] When λ1<θ1≤λ2 and θ2≤λ2, it means that the historical level of the current heavy oil production area is level 3;

[0111] When λ1<θ1≤λ2 and θ2>λ2, it means that the historical level of the current heavy oil production area is level 4;

[0112] When θ1>λ2, it means that the historical level of the current heavy oil production area is level five.

[0113] It should be noted that by combining historical thresholds with historical level comparisons of the current heavy oil production area's division thresholds, the current regional energy consumption level can be clearly and intuitively located in the historical data, so as to facilitate the subsequent operation optimization management of the steam injection boiler. The first level means that the energy consumption efficiency of the current heavy oil production area is above the historical level line, which has high economic benefits. The fifth level means that the energy consumption efficiency of the current heavy oil production area is below the historical level line, which needs to be adjusted in the subsequent operation optimization.

[0114] S223, for the representative energy consumption values ​​of steam injection production points arranged in ascending order, the quantile method is used to select The quantiles of are used as the division thresholds θ1 and θ2, where n represents the total number of steam injection production points in the current heavy oil production area:

[0115] when When , it means that the energy consumption efficiency of the current steam injection mining point is excellent;

[0116] when When , it means that the energy consumption efficiency of the current steam injection mining point is good;

[0117] when , it means that the energy consumption efficiency of the current steam injection production point is average.

[0118] It should be noted that the quantile method is used to divide the stages based on the representative value of energy consumption of steam injection production points in the current heavy oil production area, which can effectively reflect the production conditions of different steam injection production points in the current heavy oil production area and provide data support for subsequent operation optimization;

[0119] Embodiment 2:

[0120] S3. For different steam injection production points, based on the set optimization ratio threshold, the operation status of the steam injection production point is determined, the steam injection amount of the abnormal point is adjusted, and the output conversion ratio is recalculated. In combination with the output conversion ratios of other steam injection production points in the region, the operation of the steam injection boiler in the current region is optimized;

[0121] S31, for the initial oil collection volume interval of different steam injection production points in the current heavy oil production area, calculate the abnormal fluctuation value based on the proportion threshold, and determine the operation and collection status of different steam injection production points;

[0122] S311, based on the ratio threshold, the initial oil production volume interval of different steam injection production points in the current heavy oil production area is calculated for abnormal fluctuation value, and the specific algorithm formula is:

[0123] The initial daily oil production range for the steam injection production point numbered q Based on the ratio threshold β, calculate the abnormal fluctuation value:

[0124]

[0125] in, represents the fluctuation value of oil production at the steam injection production point numbered q;

[0126] It should be noted that, for steam injection mining points with excellent energy efficiency, the ratio threshold β is 0.91, for steam injection mining points with good energy efficiency, the ratio threshold β is 0.88, and for steam injection mining points with general energy efficiency, the ratio threshold β is 0.85. For steam injection mining points with excellent energy efficiency, by setting a higher ratio threshold, it is convenient for subsequent timely dynamic operation optimization, so that high-efficiency points give priority to steam resources and maximize the oil production per unit steam to improve resource conversion efficiency. For steam injection mining points with general energy efficiency, a lower ratio threshold is set to allow a larger fluctuation range to avoid the additional cost caused by frequent adjustment of steam injection boilers. At the same time, the ratio threshold β is further adjusted in accordance with the historical level of the current heavy oil production area, so that heavy oil production areas under different types can match appropriate abnormal fluctuation values.

[0127] S312. Based on the historical level of the current heavy oil production area, the proportional threshold β is specifically adjusted, wherein the proportional threshold for the heavy oil production area with a historical level of one is β×α1, the proportional threshold for the heavy oil production area with a historical level of two is β×α2, the proportional threshold for the heavy oil production area with a historical level of three is β×α3, the proportional threshold for the heavy oil production area with a historical level of four is β×α4, and the proportional threshold for the heavy oil production area with a historical level of five is β×α5, wherein α1, α2, α3, α4, and α5 are scaled values ​​of the proportional threshold β.

[0128] It should be noted that, for heavy oil production areas under different historical levels, the proportional threshold β is further scaled based on the scaling value to match the actual historical level of the current heavy oil production area, where the values ​​of α1, α2, α3, α4, and α5 are 1.05, 1.03, 1, 0.98, and 0.96, respectively. A higher historical level represents a better energy efficiency of the current heavy oil production area, that is, a greater oil output per unit of steam. The fluctuation value of the high-efficiency area is further reduced to ensure timely operation optimization and operation and maintenance management of the steam injection boiler.

[0129] S313, through abnormal fluctuation value The specific steps for determining the operation and collection status of different steam injection and production points are as follows:

[0130] For the steam injection production point numbered q, collect the daily oil production volume φ q, when X consecutive daysφ q All less than This means that the steam injection and production point numbered q has an abnormality and needs to be optimized.

[0131] It should be noted that X is usually set to 5. When the oil production volume decreases for five consecutive days, the current steam injection production point is determined to be an abnormal point and needs to be optimized. The current abnormal point may have the surface thin oil production completed, resulting in the further thickening of the remaining oil volume, which leads to changes in the properties of crude oil, or the clay minerals in the oil layer may swell and migrate, resulting in a decrease in permeability, or the pore structure of the oil layer rock changes, affecting the seepage capacity of the fluid, resulting in a decrease in oil production. It is necessary to optimize the operation of the steam injection boiler to adjust the production strategy;

[0132] S32, by adjusting the steam injection amount of the steam injection boiler at the abnormal steam injection production point, recalculating the adjusted output energy consumption ratio, combining the adjusted output energy consumption conversion ratio of other steam injection points in the current heavy oil production area, and optimizing the operation management of steam injection of the steam injection boiler in the current heavy oil production area;

[0133] S321, for the steam injection production point determined to be abnormal, adjust the steam injection amount of the current abnormal point so that the oil production at the current abnormal point is restored to the initial daily oil production range, and calculate the energy consumption conversion ratio, the specific steps are:

[0134] Count the oil production for X consecutive days and calculate the average production after reduction Combined with the initial daily oil production range of the current steam injection production point Calculate the initial representative value

[0135]

[0136] Among them, Δφ q To adjust the oil production to compensate, ΔZ q is the change in steam injection volume, ΔE q represents the adjusted energy conversion ratio;

[0137] It should be noted that by calculating the energy consumption conversion ratio after supplementing the change in steam injection volume, the most economically efficient steam injection production point in the current area can be evaluated to ensure that when the total amount of steam injected by the steam injection boiler is fixed, priority is given to steam injection production points with excellent energy consumption conversion ratio for heavy oil production.

[0138] S322, arranging the adjusted energy consumption conversion ratios of the current steam injection production points in ascending order, and performing steam injection optimization adjustment in sequence according to the steam volume upper limit of the steam injection boiler, giving priority to satisfying the steam injection production points that are ranked first;

[0139] S3221. Based on the historical level of the current heavy oil production area, optimize the operation of all heavy oil production areas in the overall area, and meet the steam injection needs of the primary, secondary, tertiary, quaternary and quinary heavy oil production areas in sequence based on the historical level of the heavy oil production area;

[0140] Embodiment 3:

[0141] like Figure 2 As shown in the figure, the operation and maintenance management system combining energy consumption analysis and operation optimization includes data acquisition module, point energy consumption analysis module, abnormal production identification module, steam injection volume adjustment module and operation optimization module:

[0142] The data acquisition module is used to collect the basic data of heavy oil resources in the current mining area, including reservoir permeability, porosity, reservoir pressure, and reservoir temperature, and record the steam injection points of the steam injection boilers in the current mining area, divide the initial heating stage and the continuous heating stage, and record the daily steam injection range at different points;

[0143] The point energy consumption analysis module collects the oil production volume within N days at different steam injection production points in the current heavy oil production area, calculates the initial daily oil production volume range of different steam injection production points, and calculates the energy consumption conversion range of different steam injection production points in combination with the daily steam injection volume range of different steam injection production points in the current heavy oil production area;

[0144] The abnormal production identification module calculates the abnormal fluctuation value based on the proportional threshold for the initial oil production volume interval of different steam injection production points in the current heavy oil production area, determines the operation and collection status of different steam injection production points, and identifies abnormal steam injection production points;

[0145] The steam injection amount adjustment module adjusts the steam injection amount of the current abnormal point for the steam injection production point determined to be abnormal, so that the oil production at the current abnormal point is restored to the initial daily oil production range;

[0146] Run the optimization module to calculate the energy consumption conversion ratio of abnormal steam injection production points. Based on the energy consumption conversion ratio and the historical level of the current heavy oil production area, set the adjustment priority of the steam injection boiler to optimize the operation of the steam injection boiler.

[0147] Embodiment 4:

[0148] An operation and maintenance management device combining energy consumption analysis and operation optimization is applied to an operation and maintenance management system combining energy consumption analysis and operation optimization, including a memory, a processor, and a program stored in the memory and executable on the processor. When the processor executes the program, the steps in the operation and maintenance management system combining energy consumption analysis and operation optimization of the present invention are implemented.

[0149] In summary, the present invention collects information on steam injection production points during the continuous steam heating stage in the heavy oil production process, determines abnormal production points based on the operating conditions of different production points and the historical level of the overall region, and optimizes the operation of the steam injection link in combination with the energy consumption conversion ratio, thereby avoiding blind steam injection in the traditional heavy oil production process, optimizing the operation of the steam injection boiler, optimizing resource utilization and cost control, and enhancing functionality and practicality.

[0150] By setting different proportional thresholds for points with different energy efficiency and historical levels, points with average energy efficiency are allowed to have a larger fluctuation range, avoiding frequent adjustments to the steam injection boilers and reducing equipment wear and maintenance caused by frequent adjustments to the steam injection boilers.

[0151] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. An operation and maintenance management method combining energy consumption analysis and operation optimization, characterized in that: The method comprises the following steps: S1. Collect basic data on heavy oil resources in the current mining area, and record the steam injection mining points of the steam injection boilers in the current mining area, divide the initial heating stage and the continuous heating stage, and record the daily steam injection volume range at different points S2. Statistic the daily steam injection volume intervals and oil collection volume intervals of different steam injection production points in the continuous heating stage, calculate the initial daily oil collection volume intervals of different steam injection production points, calculate the initial energy consumption intervals in combination with the steam volume intervals, and perform energy consumption analysis on the steam injection production points in the current production area; S21, collecting the oil production volume within N days at different steam injection production points in the current heavy oil production area, and calculating the initial daily oil production volume range of different steam injection production points respectively, the specific steps are: For each steam injection production point, calculate the average daily oil production within the data collection period N days. The algorithm formula is: Where q represents the number of the steam injection production point in the current heavy oil production area, N is the number of days for collection, represents the oil production volume of the steam injection production point numbered q on the i-th day, through the average daily oil production volume Calculate the standard deviation S of the oil production volume at the current numbered steam injection production point q : Based on the standard deviation of oil production S q , and obtain the initial daily oil collection range of steam injection production points under different numbers q in S22, based on the daily steam injection volume intervals of different steam injection production points in the current heavy oil production area, combined with the initial daily oil collection volume intervals of different steam injection production points, respectively calculate the energy consumption conversion intervals of different steam injection production points, and combine the energy consumption conversion interval values ​​of different steam injection production points in the current heavy oil production area to classify the steam injection production points into historical level grades; S3. For different steam injection production points, based on the set optimization ratio threshold, the operating status of the steam injection production point is determined, the steam injection amount of the abnormal point is adjusted, and the output conversion ratio is recalculated. Combined with the output conversion ratios of other steam injection production points in the area, the operation of the steam injection boiler in the current area is optimized.

2. The operation and maintenance management method combining energy consumption analysis and operation optimization according to claim 1 is characterized in that: The S22 comprises the following steps: S221. Daily steam injection range for different steam injection production points in the continuous heating stage of the current heavy oil production area And the initial daily oil production range of different steam injection production points Calculating the energy consumption conversion range of different steam injection production points includes the following steps: For the steam injection production point numbered q, the energy consumption conversion upper limit is obtained according to the maximum value of the injected steam volume interval and the minimum value of the initial daily oil production volume interval: in, The energy consumption conversion upper limit of the steam injection production point numbered q, i.e., the theoretical maximum energy consumption conversion value, is the maximum value of steam consumed per unit of oil collected at the current steam injection production point numbered q; According to the minimum value of the injected steam volume interval and the maximum value of the initial daily oil production volume interval, the lower limit of energy consumption conversion is obtained: in, The lower limit of energy consumption conversion for the steam injection production point numbered q, i.e., the theoretical minimum energy consumption conversion value, is the minimum value of steam consumed per unit of oil collected at the current steam injection production point numbered q. Based on the upper and lower limits of energy consumption conversion, the energy consumption range of the continuous heating stage for different steam injection production points in the current heavy oil production area is obtained. S222, calculating representative values ​​of energy consumption intervals of different steam injection production points in the current heavy oil production area, and classifying the current heavy oil production area into historical level grades according to the size of the representative values, the specific steps of which are: Energy consumption range according to different steam injection production points The representative value is calculated using the following algorithm: in, The representative value of energy consumption for the steam injection production point numbered q is based on The steam injection production points in the current heavy oil production area are arranged in ascending order by the values; S223, for the representative energy consumption values ​​of steam injection production points arranged in ascending order, the quantile method is used to select The quantiles of are used as the division thresholds θ1 and θ2, where n represents the total number of steam injection production points in the current heavy oil production area: when When , it means that the energy consumption efficiency of the current steam injection mining point is excellent; when When , it means that the energy consumption efficiency of the current steam injection mining point is good; when , it means that the energy consumption efficiency of the current steam injection production point is average.

3. The operation and maintenance management method combining energy consumption analysis and operation optimization according to claim 2 is characterized in that: The S222 comprises the following steps: S2221. Collect the representative energy consumption data of historical heavy oil production and select The quantile of is used as the historical threshold λ1 and λ2, where L is the number of historical heavy oil production energy consumption representative value data collected; S2222, comparing the historical division thresholds λ1, λ2 with the division thresholds θ1, θ2, and determining the historical level of the current heavy oil production area, the specific steps are: When θ2≤λ1, it means that the historical level of the current heavy oil production area is level one; When θ1≤λ1 and θ2≤λ2, it means that the historical level of the current heavy oil production area is level 2; When λ1<θ1≤λ2 and θ2≤λ2, it means that the historical level of the current heavy oil production area is level 3; When λ1<θ1≤λ2 and θ2>λ2, it means that the historical level of the current heavy oil production area is level 4; When θ1>λ2, it means that the historical level of the current heavy oil production area is level five.

4. The operation and maintenance management method combining energy consumption analysis and operation optimization according to claim 1 is characterized in that: The S3 comprises the following steps: S31, for the initial oil collection volume interval of different steam injection production points in the current heavy oil production area, calculate the abnormal fluctuation value based on the proportion threshold, and determine the operation and collection status of different steam injection production points; S32. By adjusting the steam injection amount of the steam injection boiler at the abnormal steam injection production point, recalculating the adjusted output energy consumption ratio, and combining the adjusted output energy consumption conversion ratio of other steam injection points in the current heavy oil production area, the steam injection of the steam injection boiler in the current heavy oil production area is optimized and managed.

5. The operation and maintenance management method combining energy consumption analysis and operation optimization according to claim 4 is characterized in that: The S31 comprises the following steps: S311, based on the ratio threshold, the initial oil production volume interval of different steam injection production points in the current heavy oil production area is calculated for abnormal fluctuation value, and the specific algorithm formula is: The initial daily oil production range for the steam injection production point numbered q Based on the ratio threshold β, calculate the abnormal fluctuation value: in, represents the fluctuation value of oil production at the steam injection production point numbered q; S312, combining the historical level of the current heavy oil production area, specifically adjusting the ratio threshold β, wherein the ratio threshold for the heavy oil production area with a historical level of one is β×α1, the ratio threshold for the heavy oil production area with a historical level of two is β×α2, the ratio threshold for the heavy oil production area with a historical level of three is β×α3, the ratio threshold for the heavy oil production area with a historical level of four is β×α4, and the ratio threshold for the heavy oil production area with a historical level of five is β×α5, wherein α1, α2, α3, α4, and α5 are scaled values ​​of the ratio threshold β; S313, through abnormal fluctuation value The specific steps for determining the operation and collection status of different steam injection and production points are as follows: For the steam injection production point numbered q, collect the daily oil production volume φ q , when X consecutive daysφ q All less than This means that the steam injection and production point numbered q has an abnormality and needs to be optimized.

6. The operation and maintenance management method combining energy consumption analysis and operation optimization according to claim 5 is characterized in that: The S32 comprises the following steps: S321, for the steam injection production point determined to be abnormal, adjust the steam injection amount of the current abnormal point so that the oil production at the current abnormal point is restored to the initial daily oil production range, and calculate the energy consumption conversion ratio, the specific steps are: Count the oil production for X consecutive days and calculate the average production after reduction Combined with the initial daily oil production range of the current steam injection production point Calculate the initial representative value Among them, Δφ q To adjust the oil production to compensate, ΔZ q is the change in steam injection volume, ΔE q represents the adjusted energy conversion ratio; S322. Arrange the adjusted energy consumption conversion ratios of the current steam injection production points in ascending order, and perform steam injection optimization adjustments in sequence according to the upper limit of the steam volume of the steam injection boiler, giving priority to satisfying the steam injection production points that are ranked first.

7. The operation and maintenance management method combining energy consumption analysis and operation optimization according to claim 6 is characterized in that: The S322 includes the following steps: S3221. Based on the historical level of the current heavy oil production areas, optimize the operation of all heavy oil production areas in the overall area, and meet the steam injection needs of the primary, secondary, tertiary, quaternary and fifth heavy oil production areas in turn based on the historical level of the heavy oil production areas.

8. An operation and maintenance management system combining energy consumption analysis and operation optimization, characterized in that: The system adopts the operation and maintenance management method combining energy consumption analysis and operation optimization as described in any one of claims 1 to 7, including a data acquisition module, a point energy consumption analysis module, an abnormal production identification module, a steam injection amount adjustment module, and an operation optimization module: The data acquisition module is used to collect basic data of heavy oil resources in the current production area, including reservoir permeability, porosity, reservoir pressure, and reservoir temperature, and record the steam injection production points of the steam injection boiler in the current production area, divide the initial heating stage and the continuous heating stage, and record the daily steam injection volume intervals at different points; The point energy consumption analysis module collects the oil production within N days of different steam injection production points in the current heavy oil production area, calculates the initial daily oil production range of different steam injection production points, and calculates the energy consumption conversion range of different steam injection production points in combination with the daily steam injection volume range of different steam injection production points in the current heavy oil production area; The abnormal production identification module calculates the abnormal fluctuation value based on the ratio threshold for the initial oil collection volume interval of different steam injection production points in the current heavy oil production area, determines the operation and collection status of different steam injection production points, and identifies the abnormal steam injection production points; The steam injection amount adjustment module adjusts the steam injection amount of the current abnormal point for the steam injection production point determined to be abnormal, so that the oil production volume of the current abnormal point is restored to the initial daily oil production volume range; The operation optimization module calculates the energy consumption conversion ratio of the abnormal steam injection production point, sets the adjustment priority of the steam injection boiler based on the energy consumption conversion ratio and the historical level of the current heavy oil production area, and optimizes the operation of the steam injection boiler.

9. An operation and maintenance management device combining energy consumption analysis and operation optimization, characterized in that: The device is applied to an operation and maintenance management system combining energy consumption analysis and operation optimization, and includes a memory and a processor: a memory for non-transitory storage of computer readable instructions; a processor for executing the computer-readable instructions; Wherein, when the computer-readable instructions are executed by the processor, the system of claim 8 is executed.

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