Oil field water drive quantitative examination system

Abstract

The invention discloses an oil field water flooding quantitative examination system, and the system comprises a comprehensive evaluation function module which is used for carrying out the quantitative evaluation calculation of an oil reservoir according to a set index; the benchmarking analysis module is used for establishing benchmarking units and benchmarking indexes, comparing other units with the benchmarking units and the benchmarking indexes, and giving difference values; the index early warning module is used for carrying out early warning and information pushing aiming at the problem indexes and the block units; the measure evaluation module is used for carrying out post-measure evaluation on solutions proposed by carrying out dynamic analysis on the early warning information; and the block portrait module is used for establishing a block on-duty portrait and a block ranking. According to the method, the functions of quantitative evaluation of the oilfield development unit, establishment of historical comprehensive comparison, benchmarking analysis, index early warning, measure countermeasure making, yield and index improvement tracking and the like are realized, block guard analysis, oil reservoir quantitative evaluation and block ranking are established, and analysis, evaluation and management of the oilfield development unit can be efficiently supported.

Description

Technical Field

[0001] The present invention relates to oilfield and oil reservoir development technology, in particular to an oilfield water drive quantitative assessment system. Background Art

[0002] In view of the current status of crude oil production and operation, oilfield development insists on quantitative management of reservoirs. At present, a dynamic analysis and management model of quantitative evaluation-index analysis-countermeasure formulation has been formed, which plays a very important supporting and guiding role in the development and adjustment of old oilfield areas. However, the existing quantitative evaluation of water-driven oil reservoirs has the defect of large degree of manual intervention of some indicators, which makes it difficult for dynamic personnel to call up analysis at any time and cannot efficiently support the analysis and management of development units. There is an urgent need for a more effective evaluation indicator to reduce manual intervention and improve the objectivity of evaluation results. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide an oilfield water flooding quantitative assessment system in view of the defects in the prior art.

[0004] The technical solution adopted by the present invention to solve the technical problem is: an oilfield water flooding quantitative assessment system, comprising:

[0005] The comprehensive evaluation module is used to perform quantitative reservoir evaluation based on eight indicators of natural decline rate, water cut rise rate, water drive rate, remaining recoverable reserves production rate, dynamic liquid level maintenance, injection rate, oil well opening rate, and water well opening rate for different oilfield development units in the EPBP database.

[0006] The comprehensive score is calculated as follows:

[0007] The indicator values ​​are divided into three levels according to the thresholds set according to the standard values ​​of the indicator values. The indicator values ​​of each indicator are graded and calculated according to the set standard thresholds of the indicator values ​​to obtain the individual indicator scores, as follows:

[0008] Single indicator score = [0.4 + 0.6 × (indicator value - lower threshold) / (upper threshold - lower threshold)] × 100;

[0009] When the score of a single indicator is greater than 100, the value is 100; when the score of a single indicator is less than 0, the value is 0;

[0010] The weights of the eight indicators, namely, natural decline rate, water cut rise rate, water drive rate, remaining recoverable reserves oil production rate, dynamic liquid level maintenance, injection rate, oil well opening rate, and water well opening rate, are set at 4:4:3:3:3:2:2:2 to obtain a comprehensive score;

[0011] The benchmark analysis module is used to establish benchmark units and benchmark indicators according to the calculation results of each indicator data of the comprehensive evaluation module and by oil production plant and reservoir type.

[0012] Among them, the benchmark unit is the oil production plant unit with the highest comprehensive score among all oil production plants as the benchmark unit;

[0013] The benchmark index is to select the highest value of each single index in different water-cut stages according to the reservoir type as the benchmark index;

[0014] Compare the comprehensive scores of other units with the benchmark unit and give the difference;

[0015] Compare each indicator of other units with the benchmark indicator and give the difference;

[0016] The indicator warning module is used to classify and identify problem indicators and block units and push warning information based on the results of the benchmark analysis module;

[0017] Warning classification signs include:

[0018] If the natural decline rate is compared with the benchmark index, a warning will be issued; if the water content rise rate is compared with the benchmark index, a warning will be issued; if the comprehensive score is compared with the comprehensive score of the unit, a warning will be issued;

[0019] Among them, the indicator difference of less than 8% belongs to Category 1, and the warning is marked in green; the indicator difference of 8-15% belongs to Category 2, and the warning is marked in orange, and the warning is less than 8% in green; the indicator difference greater than 15% belongs to Category 3, and the warning is marked in red.

[0020] Generate comprehensive warning information based on the above three warning classification identifications. If three warning classification identifications are red, a red warning information will be issued. If two of the warning classification identifications are red, an orange warning information will be issued.

[0021] The information push module regularly pushes red and orange warning information to the relevant management departments, which then conduct dynamic analysis of key warning units. It also pushes red warning information, either for the natural decline rate or the water content rise rate, to the guards in each block.

[0022] The measures evaluation module is used to conduct post-measure evaluation of the solutions proposed by the block station personnel or the relevant management departments;

[0023] The effectiveness of the measures is qualitatively and quantitatively evaluated based on the quantitative reservoir evaluation of the next month. If production increases and the indicators improve, the measures are considered effective; if production increases and the indicators remain stable, the measures are considered qualified; if the indicators decrease, the measures are considered ineffective.

[0024] Finally, all the measures and effect evaluations of the early warning units are included in the adjustment countermeasures summary table, which is convenient for technical personnel to refer to for measures for similar early warnings in the future;

[0025] The block portrait module is used to establish the portrait of the block guards and the block ranking;

[0026] Including guard portrait score and block ranking;

[0027] During the statistical period, the block station personnel will be scored based on their proactive analysis of the proposed solutions, dynamic analysis response time, number of proposed measures, and effectiveness of the measures according to a weighting of 2:3:3:4;

[0028] For block ranking, each oil production plant is first ranked according to the comprehensive score; then the block score is calculated and ranked based on the comprehensive score of reservoir quantitative evaluation (accounting for 60%) and the score of guard portrait (accounting for 40%).

[0029] The beneficial effects produced by the present invention are:

[0030] The present invention realizes the quantitative evaluation of oilfield development units, establishes comprehensive historical comparison, benchmark analysis, indicator early warning, measure and countermeasure formulation, production and indicator improvement tracking, etc., establishes block station analysis, quantitative reservoir evaluation, and block ranking, which can effectively support the analysis, evaluation and management of oilfield development units. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without paying any creative work.

[0032] Figure 1 It is a system structure diagram of an embodiment of the present invention.

[0033] Figure 2 This is a flowchart of early warning information push according to an embodiment of the present invention. DETAILED DESCRIPTION

[0034] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0035] like Figure 1 As shown, an oilfield water flooding quantitative assessment system includes:

[0036] The comprehensive evaluation module uses eight indicators from the EPBP database, including natural decline rate, water cut rise rate, water drive rate, remaining recoverable reserves production rate, dynamic liquid level maintenance, injection rate, oil well opening rate, and water well opening rate, to perform quantitative reservoir evaluation. The calculation results can be used for comprehensive evaluation query.

[0037] The comprehensive score is calculated as follows:

[0038] The indicator values ​​are divided into three levels according to the thresholds set according to the standard values ​​of the indicator values. The indicator values ​​of each indicator are graded and calculated according to the set standard thresholds of the indicator values ​​to obtain the individual indicator scores, as follows:

[0039] Single indicator score = [0.4 + 0.6 × (indicator value - lower threshold) / (upper threshold - lower threshold)] × 100;

[0040] When the score of a single indicator is greater than 100, the value is 100; when the score of a single indicator is less than 0, the value is 0;

[0041] The weights of the eight indicators, namely, natural decline rate, water cut rise rate, water drive rate, remaining recoverable reserves oil production rate, dynamic liquid level maintenance, injection rate, oil well opening rate, and water well opening rate, are set at 4:4:3:3:3:2:2:2 to obtain a comprehensive score;

[0042] The comprehensive evaluation module provides comprehensive evaluation queries, including monthly queries, stage comparison queries, and historical tracking. Monthly queries query the evaluation indicators and comprehensive scores of development units on a monthly basis, and summarize the evaluation results of branches, oil production plants, and different types of reservoirs. Stage comparison queries select different time periods for querying, calculate the difference, and output a result table. Historical tracking queries the historical evaluation results of branches, oil production plants, different types of reservoirs, and development units, and outputs tables and trend charts of the comprehensive scores of each indicator stage. It is required that oil production plants, different reservoir types, and development units can be filtered, and the trend charts of the eight indicators can be output as a whole or a customized selection of curves can be displayed.

[0043] The benchmarking analysis module is used to establish benchmark units and benchmark indicators by oil production plant and reservoir type, and compare other units with the benchmark units and benchmark indicators to provide the difference. It includes benchmark unit comparison and benchmark indicator comparison. The benchmark unit comparison is used to select the unit with the highest comprehensive score in each oil production plant at the unit level as the benchmark unit, and compare the comprehensive score of other units with the benchmark unit to provide the difference. The benchmark indicator comparison is used to select the highest value of each individual indicator in different water-cut stages by reservoir type as the benchmark indicator, and compare the various indicators of other units with the benchmark indicator to provide the difference.

[0044] The indicator warning module is used to issue warnings and push information for problem indicators and block units; including warning classification identification and warning information push;

[0045] Warning classification signs include:

[0046] If the natural decline rate is compared with the benchmark index, a warning will be issued; if the water content rise rate is compared with the benchmark index, a warning will be issued; if the comprehensive score is compared with the comprehensive score of the unit, a warning will be issued;

[0047] Among them, the indicator difference of less than 8% belongs to Category 1, and the warning is marked in green; the indicator difference of 8-15% belongs to Category 2, and the warning is marked in orange, and the warning is less than 8% in green; the indicator difference greater than 15% belongs to Category 3, and the warning is marked in red.

[0048] Generate comprehensive warning information based on the above three warning classification identifications. If three warning classification identifications are red, a red warning information will be issued. If two of the warning classification identifications are red, an orange warning information will be issued.

[0049] Information push is to push the comprehensive early warning information (4) to the deputy manager of the development management department and the reservoir department on the 8th of each month. The management department will identify the key development units and arrange for the oil production plant and the relevant research institutes to conduct dynamic analysis of the key early warning units before the 25th of each month. Individual early warnings are pushed to the guards in each block. Other indicators are only prompted by color codes and are not pushed;

[0050] The process of pushing early warning information is as follows: Figure 2 ;

[0051] The measures evaluation module is used by block station personnel to conduct dynamic analysis of early warning units, propose solutions, and conduct post-measure evaluations;

[0052] Includes indicator analysis and post-measure evaluation;

[0053] Indicator analysis is used to determine whether the block personnel have conducted a systematic and comprehensive dynamic analysis for the unit receiving the early warning, provided a cause analysis and adjustment measures, and reported them to the Development Management Department for confirmation. After confirmation, the block personnel will provide an estimated completion time for the measures and the expected increase in oil production. After the measures are completed, they will be reported to the Development Management Department for confirmation.

[0054] The post-measure evaluation is used after the measures are completed and confirmed. The Reservoir Quantitative Assessment Office will conduct a post-evaluation of the adjustment, tracking whether the production has increased, whether the indicators have improved in the next month, and finally confirming whether the measures are effective. The qualitative and quantitative evaluation of the measures' effectiveness is mainly based on the next month's reservoir quantitative evaluation - whether the production has increased (50%) + whether the indicators have improved (50%). If the production increases and the indicators are stable, the measures are qualified; if the indicators decrease, the measures are ineffective. Finally, all the measures of the early warning unit will be included in the adjustment countermeasures summary table, which will facilitate the technical staff to refer to the measures for the same type of early warning in the future.

[0055] The block portrait module is used to establish block station analysis portraits and block rankings, and regularly push management rankings to form a normalized management model;

[0056] Including guard portraits and block rankings;

[0057] The maximum score for the guard portrait is 120 points, and the dynamic analysis response time (30 points), the number of proposed measures (30 points), and the effectiveness of the measures (40 points) are statistically analyzed. All guards are ranked; at the same time, proactive action is encouraged. For units that have no key warnings, only some indicators have warnings, or no warnings, those who proactively analyze and propose measures will be awarded bonus points, with a maximum bonus of 20 points.

[0058] For block ranking, first, each oil production plant is ranked according to the comprehensive score; then the units are ranked, and the top 3 and bottom 3 units of each oil production plant are displayed; finally, for the warning units and non-warning units, the blocks are calculated comprehensively according to the comprehensive score of reservoir quantitative evaluation (accounting for 60%) and the score of guard portrait (accounting for 40%), and the ranking is statistically calculated.

[0059] It should be understood that those skilled in the art can make improvements or changes based on the above description, and all such improvements and changes should fall within the scope of protection of the appended claims of the present invention.

Claims

1. An oilfield water flooding quantitative assessment system, characterized in that: include: The comprehensive evaluation module is used to perform quantitative reservoir evaluation based on eight indicators of natural decline rate, water cut rise rate, water drive rate, remaining recoverable reserves production rate, dynamic liquid level maintenance, injection rate, oil well opening rate, and water well opening rate for different oilfield development units in the EPBP database. The comprehensive score is calculated as follows: The indicator values ​​are divided into three levels according to the thresholds set according to the standard values ​​of the indicator values. The indicator values ​​of each indicator are graded and calculated according to the set standard thresholds of the indicator values ​​to obtain the individual indicator scores, as follows: Single indicator score = [0.4 + 0.6 × (indicator value - lower threshold) / (upper threshold - lower threshold)] × 100; When the score of a single indicator is greater than 100, the value is 100; when the score of a single indicator is less than 0, the value is 0; The weights of the eight indicators, namely, natural decline rate, water cut rise rate, water drive rate, remaining recoverable reserves oil production rate, dynamic liquid level maintenance, injection rate, oil well opening rate, and water well opening rate, are set at 4:4:3:3:3:2:2:2 to obtain a comprehensive score; The benchmark analysis module is used to establish benchmark units and benchmark indicators according to the calculation results of each indicator data of the comprehensive evaluation module and by oil production plant and reservoir type. Compare the comprehensive scores of other units with the benchmark unit and give the difference; Compare each indicator of other units with the benchmark indicator and give the difference; The indicator warning module is used to classify and identify problem indicators and block units and push warning information based on the results of the benchmark analysis module; Warning classification signs include: If the natural decline rate is compared with the benchmark index, a warning will be issued; if the water content rise rate is compared with the benchmark index, a warning will be issued; if the comprehensive score is compared with the comprehensive score of the unit, a warning will be issued; Among them, the indicator difference of less than 8% belongs to Category 1, and the warning is marked in green; the indicator difference of 8-15% belongs to Category 2, and the warning is marked in orange, and the warning is less than 8% in green; the indicator difference greater than 15% belongs to Category 3, and the warning is marked in red. Generate comprehensive warning information based on the above three warning classification identifications. If three warning classification identifications are red, a red warning information will be issued. If two of the warning classification identifications are red, an orange warning information will be issued. The information push module regularly pushes red and orange warning information to the relevant management departments, which then conduct dynamic analysis of key warning units. It also pushes red warning information, either for the natural decline rate or the water content rise rate, to the guards in each block. The measures evaluation module is used to conduct post-measure evaluation on the solutions proposed by the block guards or the corresponding management departments based on the warning information of the indicator warning module; The effectiveness of the measures is qualitatively and quantitatively evaluated based on the quantitative reservoir evaluation of the next month. If production increases and the indicators improve, the measures are considered effective; if production increases and the indicators remain stable, the measures are considered qualified; if the indicators decrease, the measures are considered ineffective. Finally, all the measures and effect evaluations of the early warning units are included in the adjustment countermeasures summary table, which is convenient for technical personnel to refer to for measures for similar early warnings in the future; The block portrait module is used to establish block guard personnel portraits and block rankings.

2. The oilfield water flooding quantitative assessment system according to claim 1, characterized in that: The comprehensive evaluation module provides comprehensive evaluation query, which includes monthly query, stage comparison query and historical tracking, and outputs a table and a comprehensive score trend chart of each indicator stage respectively.

3. The oilfield water flooding quantitative assessment system according to claim 1, characterized in that: In the benchmarking analysis module, the benchmark unit is the oil production plant unit with the highest comprehensive score among all oil production plants as the benchmark unit; The benchmark indicator is the highest value of each single indicator in different water-cut stages selected according to reservoir type.

4. The oilfield water flooding quantitative assessment system according to claim 1, characterized in that: In the measure evaluation module, the measure evaluation is specifically as follows: The effectiveness of the measures is qualitatively and quantitatively evaluated based on the quantitative reservoir evaluation of the next month. If production increases and the indicators improve, the measures are considered effective; if production increases and the indicators remain stable, the measures are considered qualified; if the indicators decrease, the measures are considered ineffective. Finally, all the measures and effectiveness evaluations of the early warning units are included in the adjustment strategy summary table, which is convenient for technical personnel to refer to for measures opinions for similar types of early warnings in the future.

5. The oilfield water flooding quantitative assessment system according to claim 1, characterized in that: The block portrait module includes guard portrait scores and block rankings; During the statistical period, the block station personnel will be scored based on their proactive analysis of the proposed solutions, dynamic analysis response time, number of proposed measures, and effectiveness of the measures according to a weighting of 2:3:3:4; For block ranking, each oil production plant is first ranked based on the comprehensive score; then the block score is calculated and ranked based on the comprehensive score of reservoir quantitative evaluation (60%) and the score of guard portrait (40%).

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