Evaluation method and device for oil extraction mode of heavy oil reservoir in middle and later periods and medium

Abstract

The embodiment of the invention discloses a method and equipment for evaluating oil extraction modes of heavy oil reservoirs in the middle and later periods and a medium, is applied to the technical field of oil extraction of heavy oil reservoirs and is used for solving the problem that an existing mode lacks a standardized comprehensive oil extraction evaluation mode. The method comprises the following steps: acquiring basic production data of each oil well in a current area to extract multi-dimensional change data in the basic production data, and determining a to-be-evaluated oil well in a middle and later stage of production based on the multi-dimensional change data; according to the current output value condition of the current area, the evaluation levels of the multiple heavy oil reservoir oil extraction modes of the to-be-evaluated oil well are determined; based on the historical evaluation data corresponding to each evaluation level, determining a plurality of evaluation indexes corresponding to each evaluation level; converting the evaluation indexes corresponding to the oil extraction modes of the heavy oil reservoirs into quantitative data based on a preset fuzzy evaluation mode so as to determine fuzzy scores of the evaluation indexes; and the fuzzy scores of the evaluation indexes in all the evaluation levels are summarized to determine comprehensive evaluation of the oil extraction modes of all the heavy oil reservoirs.

Description

Technical Field

[0001] The present invention relates to the technical field of heavy oil reservoir exploitation, and in particular to an evaluation method, equipment and medium for the oil production mode of a mid- to late-stage heavy oil reservoir. Background Art

[0002] Heavy oil reservoirs refer to reservoirs with high oil viscosity, and the viscosity of crude oil is usually between 100-10000mPa·s (density is 0.9-1.0g / cm3). Compared with conventional light oil reservoirs, the crude oil in heavy oil reservoirs has poor fluidity, difficult oil production, and low recovery rate. Heavy oil reservoirs usually include asphalt sand, heavy oil, and extra-heavy oil. Oil production in mid-to-late heavy oil reservoirs generally refers to oil wells that are about to be abandoned in the conventional sense or oil wells that basically do not produce oil based on conventional oil production methods. Since conventional oil production methods cannot fully produce crude oil at this time, other technical means are needed to develop and improve the recovery rate. Therefore, the evaluation of oil production methods at this time affects the production of heavy oil reservoirs and is an important link in achieving heavy oil production increases.

[0003] At present, the evaluation of the production methods of heavy oil reservoirs is generally based on the evaluation of the heavy oil reservoir collection methods by technicians. However, due to the complexity of the heavy oil reservoir production methods, when evaluating the recovery rate and economic benefits based on the artificial method, the evaluation indicators may be omitted in the evaluation process due to the limitation of personnel experience, and the evaluation standards are also different, which makes it difficult to objectively realize the comprehensive evaluation of the heavy oil reservoir production methods. In addition, when the laboratory simulation and numerical simulation are used to simulate and predict the oil production results of different oil production methods, the evaluation of the heavy oil reservoir collection methods is realized. Because laboratory simulation and numerical simulation usually simplify the real reservoir conditions and oil production process, there is a certain deviation between the evaluation results and the actual situation, and laboratory simulation and numerical simulation are often based on certain assumptions and preconditions, including geological structure, fluid flow law, etc. These assumptions and preconditions may be different from the actual situation, thus affecting the accuracy of the evaluation results. Therefore, how to comprehensively consider multiple influencing factors to realize the evaluation of the heavy oil reservoir production method and determine the current optimal heavy oil reservoir production method is a problem to be solved. Summary of the invention

[0004] In order to solve the above technical problems, one or more embodiments of the present specification provide a method, device and medium for evaluating the oil production mode of a mid-to-late stage heavy oil reservoir.

[0005] One or more embodiments of this specification adopt the following technical solutions:

[0006] One or more embodiments of this specification provide a method for evaluating the oil production mode of a mid- to late-stage heavy oil reservoir, the method comprising:

[0007] Obtaining basic production data of each oil well in the current area to extract multi-dimensional change data from the basic production data, and determining the oil wells to be evaluated that are in the middle and late stages of production based on the multi-dimensional change data;

[0008] Determining the evaluation level of the oil production methods of the plurality of heavy oil reservoirs of the oil well to be evaluated according to the current production value of the current area;

[0009] Determining a plurality of evaluation indicators corresponding to each evaluation level based on historical evaluation data corresponding to each evaluation level;

[0010] Based on a preset fuzzy evaluation method, the evaluation index corresponding to each of the heavy oil reservoir production methods is converted into quantitative data to determine a fuzzy score for each of the evaluation indexes;

[0011] The fuzzy scores of the evaluation indicators in each evaluation level are summarized to determine the comprehensive evaluation of each heavy oil reservoir production method, so as to select the optimal heavy oil reservoir production method.

[0012] Optionally, in one or more embodiments of the present specification, extracting multi-dimensional change data from the basic production data, and determining the oil wells to be evaluated in the middle and late stages of production based on the multi-dimensional change data, specifically includes:

[0013] The basic production data of the oil well to be evaluated is collected based on a preset collection cycle, and the basic production data is sorted based on the collection time to obtain a basic production data sequence; wherein the basic production data includes: oilfield geological data, oil production process data, historical production data, water injection data, and reservoir pressure data;

[0014] Based on the basic production data sequence, the difference values ​​of adjacent acquisition times are calculated, and the data types corresponding to the difference values ​​are classified to obtain the production dimension change data and the technical dimension change data; wherein the production dimension change data includes: production value, recovery ratio, remaining reserves of the reservoir, and reservoir pressure change value; the technical dimension change data includes: recovery method change data;

[0015] If, based on the plateau standard data corresponding to the production dimension change data and the acquisition phase data corresponding to the technical dimension change data, it is determined that both the production dimension change data and the technical dimension change data correspond to the mid-to-late production stage, then it is determined that the oil well to be evaluated is in the mid-to-late production stage.

[0016] Optionally, in one or more embodiments of the present specification, determining the evaluation level of the oil production methods of the multiple heavy oil reservoirs of the oil well to be evaluated according to the current production value of the current area specifically includes:

[0017] Obtaining the current production value of the current area, comparing the target production value of the current area with the current production value, determining the bottleneck level of the oil well to be evaluated, and determining the bottleneck level as the first priority; wherein the bottleneck level is the evaluation level that limits the heavy oil production value in the current area;

[0018] Based on the target production value of the current area and the oil production process corresponding to each of the heavy oil reservoir production methods, determining a main level directly associated with the bottleneck level and a secondary level indirectly associated with the bottleneck level;

[0019] The main level is determined as the second priority, and the secondary level is determined as the third priority, so as to summarize the bottleneck level, the main level and the secondary level as the evaluation level of each heavy oil reservoir production method; wherein the first priority is greater than the second priority, and the second priority is greater than the third priority.

[0020] Optionally, in one or more embodiments of the present specification, before determining the evaluation levels of the oil production methods of the multiple heavy oil reservoirs of the oil well to be evaluated according to the current production value of the current area, the method further includes:

[0021] Determining the geological characteristics of the current heavy oil reservoir corresponding to the oil well to be evaluated based on the basic production data of the oil well to be evaluated;

[0022] Based on the geological characteristics and the reservoir characteristics of the heavy oil reservoir, determining a plurality of available heavy oil reservoir production methods for the oil well to be evaluated;

[0023] The oil production equipment information and personnel information corresponding to each of the available heavy oil reservoir production methods are determined, so as to filter the available heavy oil reservoir production methods based on the idle personnel and idle oil production equipment in the current area, and obtain multiple heavy oil reservoir production methods for the oil well to be evaluated.

[0024] Optionally, in one or more embodiments of the present specification, based on the historical evaluation data corresponding to each evaluation level, multiple evaluation indicators corresponding to each evaluation level are determined, specifically including:

[0025] Converting each of the historical evaluation data into a data vector, calculating the similarity between each of the data vectors based on a cosine similarity algorithm, and performing data cleaning on the historical evaluation data based on the similarity to obtain the historical evaluation data to be analyzed;

[0026] Converting each of the historical evaluation data to be analyzed into a rank based on the Spearman correlation coefficient, so as to determine the correlation coefficient between each of the historical evaluation data to be analyzed according to the rank;

[0027] Determine a correlation coefficient matrix between each of the historical evaluation data to be analyzed based on the correlation coefficient, so as to determine main historical evaluation data in the historical evaluation data to be analyzed based on the correlation coefficient matrix;

[0028] According to the data type of the main historical evaluation data corresponding to each evaluation level, a plurality of evaluation indicators corresponding to each evaluation level are determined.

[0029] Optionally, in one or more embodiments of the present specification, the evaluation indicators corresponding to the heavy oil reservoir production methods are converted into quantitative data based on a preset fuzzy evaluation method to determine the fuzzy score of each evaluation indicator, specifically including:

[0030] Determine the priority of each evaluation indicator at the evaluation level according to the evaluation level of each evaluation indicator, and use the priority as the scoring coefficient of the evaluation indicator;

[0031] Sending the evaluation indicators of each evaluation level to multiple review terminals to receive the fuzzy judgment degree between the evaluation indicators in the same evaluation level returned by the multiple review terminals;

[0032] Comparing the fuzzy judgment degrees between the evaluation indicators in the same evaluation level returned by multiple review terminals to extract the fuzzy judgment degrees of disputes;

[0033] Creating a trigonometric function for the dispute evaluation index corresponding to the dispute fuzzy judgment degree, so as to determine the degree of membership corresponding to the dispute evaluation index based on the trigonometric function;

[0034] The dispute fuzzy judgment degree is modified based on the membership degree corresponding to the dispute evaluation index to obtain the fuzzy judgment degree between each evaluation index, and based on the fuzzy judgment degree between each evaluation index, a fuzzy judgment matrix of the evaluation index in each evaluation level is constructed;

[0035] Calculating the maximum eigenvalue of the fuzzy judgment matrix according to the fuzzy judgment matrix to obtain the eigenvector corresponding to the maximum eigenvalue as the quantitative data of the evaluation index;

[0036] The quantitative data of the evaluation indicators are weighted based on the scoring coefficients of the evaluation indicators to determine the fuzzy scores of the evaluation indicators.

[0037] Optionally, in one or more embodiments of the present specification, the fuzzy scores of the evaluation indicators in each evaluation level are summarized to determine the comprehensive evaluation of each heavy oil reservoir production method, so as to select the optimal heavy oil reservoir production method, which specifically includes:

[0038] Performing fuzzy AND operation on the fuzzy scores of the evaluation indicators in the same evaluation level to obtain a comprehensive fuzzy evaluation of the evaluation level;

[0039] The comprehensive fuzzy evaluation is weighted according to the priority corresponding to the evaluation level to obtain the multi-dimensional score corresponding to each evaluation level, and the comprehensive evaluation of each heavy oil reservoir production method is determined based on the multi-dimensional score corresponding to each evaluation level.

[0040] Optionally, in one or more embodiments of the present specification, after summarizing the fuzzy scores of the evaluation indicators in each evaluation level and determining the comprehensive evaluation of each heavy oil reservoir production method to facilitate screening of the optimal heavy oil reservoir production method, the method further includes:

[0041] According to the comprehensive evaluation of the oil production methods of each heavy oil reservoir, determining the label corresponding to the oil production method of each heavy oil reservoir of the oil well to be evaluated; wherein the label identifies the prominent direction of the comprehensive evaluation of the oil production method of the heavy oil reservoir;

[0042] If it is determined that the label corresponding to the current heavy oil reservoir production method of the oil well to be evaluated does not conform to the oil production strategy of the current area, the current heavy oil reservoir production method is replaced based on the label.

[0043] One or more embodiments of this specification provide an evaluation device for the production mode of a mid- to late-stage heavy oil reservoir, the device comprising:

[0044] at least one processor; and,

[0045] a memory communicatively connected to the at least one processor; wherein,

[0046] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to: execute any of the above methods

[0047] One or more embodiments of the present specification provide a non-volatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured to execute any of the above-described methods.

[0048] At least one of the above technical solutions adopted in the embodiments of this specification can achieve the following beneficial effects:

[0049] According to the multi-dimensional change data, the oil wells to be evaluated in the middle and late stages of production are comprehensively determined, which facilitates the subsequent evaluation and decision-making for the oil wells to be evaluated in the middle and late stages of production, and avoids the problem of waste of computing power caused by invalid analysis. According to the current output value of the current area, the evaluation level required for the evaluation of multiple heavy oil production methods of the oil wells to be evaluated is determined, and then multiple evaluation indicators of each evaluation level are determined, which realizes the analysis of multi-dimensional evaluation data, and can evaluate the performance and effect of the oil wells to be evaluated from different angles, thereby improving the comprehensiveness and comprehensiveness of the evaluation. Converting fuzzy evaluation into quantifiable data facilitates subsequent comparison and analysis, and weighting the comprehensive fuzzy evaluation according to the priority corresponding to the evaluation level helps to obtain the comprehensive evaluation score of each heavy oil reservoir production method, so as to compare the methods and make decision adjustments based on quantifiable characteristics. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the technical solutions in the embodiments of this specification or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art description. Obviously, the drawings described below are only some embodiments recorded in this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. In the drawings:

[0051] Figure 1 A schematic flow chart of a method for evaluating oil production methods in mid- to late-stage heavy oil reservoirs provided in an embodiment of this specification;

[0052] Figure 2 A schematic diagram of the structure of an evaluation device for a mid- to late-stage heavy oil reservoir production method provided in an embodiment of this specification;

[0053] Figure 3 A schematic diagram of a non-volatile storage medium structure provided in an embodiment of this specification. DETAILED DESCRIPTION

[0054] The embodiments of this specification provide a method, device and medium for evaluating the oil production mode of a mid- to late-stage heavy oil reservoir.

[0055] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

[0056] like Figure 1As shown, the present specification embodiment provides a flow chart of an evaluation method for oil production in a mid- to late-stage heavy oil reservoir. Figure 1 It can be seen that in one or more embodiments of this specification, a method for evaluating the oil production mode of a mid-to-late heavy oil reservoir includes the following steps:

[0057] S101: Obtain basic production data of each oil well in the current area to extract multi-dimensional change data from the basic production data, and determine the oil wells to be evaluated that are in the middle and late stages of production based on the multi-dimensional change data.

[0058] In order to accurately evaluate the production stage and performance of oil wells, and facilitate subsequent evaluation and decision-making for oil wells to be evaluated in the middle and late stages of production, and avoid the problem of waste of computing power caused by invalid analysis. This manual first obtains the basic production data of each oil well in the current area, extracts multi-dimensional change data from the basic production data, which can reflect the changes in key indicators such as oil well production, recovery rate, and water injection volume, and then comprehensively determines the oil wells to be evaluated in the middle and late stages of production based on the multi-dimensional change data.

[0059] Specifically, in one or more embodiments of the present specification, extracting multi-dimensional change data from basic production data, and determining the oil wells to be evaluated in the middle and late stages of production based on the multi-dimensional change data, specifically includes the following processes:

[0060] First, the basic production data of the oil well to be evaluated is collected based on the preset acquisition cycle, and the basic production data is sorted based on the acquisition time to obtain the basic production data sequence. It should be noted that the basic production data includes: oilfield geological data, oil production process data, historical production data, water injection data, reservoir pressure data, etc. Then, the difference values ​​of adjacent acquisition times are calculated based on the basic production data sequence, and the data types corresponding to each difference value are classified to obtain the production dimension change data and the technical dimension change data; it should be noted that the production dimension change data is the relevant data reflecting the heavy oil production, including: production value, recovery ratio, remaining reserves in the reservoir, reservoir pressure change value, etc. The technical dimension change data is the relevant data reflecting the process change and technology change during the acquisition process, including: recovery method change data, etc. If the production dimension change data corresponds to the middle and late stages according to the standard data of the platform period corresponding to the production dimension change data, and the acquisition stage data corresponding to the technical dimension change data is also the middle and late stages, then it is determined that the oil well to be evaluated is in the middle and late stages of production.

[0061] In the above process, by collecting and analyzing basic production data, we can have a comprehensive understanding of the production situation of the oil well, including geological data, oil production process data, historical production data, water injection data, reservoir pressure data, etc. This helps to determine the potential of the oil well, find problems and formulate optimization plans. By calculating the difference value and classifying the data, the production data can be divided into the change data of the production dimension and the technical dimension, and the situation of heavy oil production and process changes can be further understood. This helps to determine the production level of the oil well and understand the changes in production technology, so as to determine whether it is in the middle and late stages of production by combining the changes in production level and production technology, so as to evaluate the oil production method for the heavy oil reservoir at this stage, which helps to improve the production efficiency of oil wells in the middle and late stages.

[0062] S102: Determine the evaluation levels of the oil production methods of the multiple heavy oil reservoirs of the oil well to be evaluated according to the current production value of the current area; wherein the evaluation levels include: economic level, technical level, management level, and environmental level.

[0063] Since different heavy oil reservoir production methods will have different impacts on the economic level, technical level, management level and environmental level, resulting in different benefits or losses, in order to achieve a comprehensive evaluation of multiple heavy oil reservoir production methods, and then help determine the heavy oil reservoir production method that is conducive to the current regional development goals based on the evaluation results. In the embodiment of this specification, the evaluation level required for evaluating multiple heavy oil production methods of the oil well to be evaluated is determined according to the current output value of the current region.

[0064] Specifically, in one or more embodiments of the present specification, according to the current production value of the current area, determining the evaluation level of the oil production methods of multiple heavy oil reservoirs of the oil well to be evaluated specifically includes the following process:

[0065] The current output value of the current area is obtained, the target output value of the current area is compared with the current output value, the bottleneck level of the oil well to be evaluated is determined, and the bottleneck level is determined as the first priority. Among them, it should be noted that the bottleneck level is the evaluation level that limits the heavy oil output value in the current area. Then, based on the target output value of the current area and the oil production process corresponding to the oil production method of each heavy oil reservoir, the main level directly associated with the bottleneck level and the secondary level indirectly associated with the bottleneck level are determined. Then the main level is determined as the second priority, and the secondary level is the third priority, so as to summarize the bottleneck level, the main level and the secondary level as the evaluation level of the oil production method of each heavy oil reservoir. Among them, it should be noted that the first priority is greater than the second priority, and the second priority is greater than the third priority. Assume that the target output value of the current area is to produce 1,000 barrels of heavy oil per day. By analyzing the current output value, it is found that the actual output value is limited by the acquisition equipment, and there are only 600 barrels of heavy oil under full load. According to this comparison, it can be determined that the bottleneck level of the oil well to be evaluated is the equipment level. Then, according to the target output value of 1,000 barrels of heavy oil in the current area, the oil production process corresponding to each heavy oil reservoir production method is compared. Through analysis, it is found that the personnel operation technology is directly related to the bottleneck level, that is, the technical level is directly related to the bottleneck level, and the evaluation levels B and C are indirectly related to the bottleneck level. At this time, the bottleneck level is determined to be the first priority, the production technology level is the second priority, and the evaluation levels B and C are the third priority.

[0066] In this manual, by comparing the current regional output value with the target output value, the bottleneck level is determined as the first priority of the evaluation, which can help quickly locate problems and key areas for improvement, and improve the pertinence and efficiency of the evaluation. Based on the target output value and the oil production process of each oil production method, the main level directly related to the bottleneck level and the secondary level indirectly related to it are determined, which can more comprehensively evaluate the effects and influencing factors of the oil production method in the reservoir. By clarifying the priority order of the evaluation level, it is helpful to better allocate resources and formulate improvement strategies after evaluating the oil production method when resources and time are limited.

[0067] Further, in one or more embodiments of the present specification, before determining the evaluation level of the oil production methods of multiple heavy oil reservoirs of the oil well to be evaluated according to the current production value of the current area, the method also includes the following process:

[0068] First, based on the basic production data of the oil well to be evaluated, the geological characteristics of the current heavy oil reservoir corresponding to the oil well to be evaluated are determined. Then, based on the geological characteristics and the reservoir characteristics of the heavy oil reservoir, multiple available heavy oil reservoir production methods for the oil well to be evaluated are determined. The oil production equipment information and personnel information corresponding to each available heavy oil reservoir production method are determined, so as to filter the available heavy oil reservoir production methods based on the idle personnel and idle oil production equipment in the current area, and obtain multiple heavy oil reservoir production methods for the oil well to be evaluated.

[0069] Since different oil production methods may be suitable for different geological conditions and reservoir characteristics. Therefore, based on the geological characteristics and reservoir characteristics of heavy oil reservoirs, multiple available heavy oil reservoir production methods are determined, which can be used for preliminary screening of the oil production methods that can be used for the oil wells to be evaluated in the middle and late stages, thereby avoiding the problem of redundant evaluation caused by the inability of some oil production methods to be applied to the middle and late stages when evaluating a large number of oil production methods. In addition, determining the oil production equipment information and personnel information corresponding to each available heavy oil reservoir production method can better understand the execution and application of the oil production method. This helps to further evaluate the feasibility and operability of the oil production method, and then filter the available heavy oil reservoir production methods based on the idle personnel and idle oil production equipment in the current area. This process determines multiple feasible heavy oil reservoir production methods for the oil wells to be evaluated, providing a flexible selection of oil production methods and an evaluation basis for oil production methods to improve the heavy oil output value and production efficiency in the current area.

[0070] S103: Determine a plurality of evaluation indicators corresponding to each evaluation level based on the historical evaluation data corresponding to each evaluation level.

[0071] Specifically, after obtaining multiple evaluation levels of the oil production methods of each heavy oil reservoir in the oil well to be evaluated based on the above step S102, in one or more embodiments of the present specification, multiple evaluation indicators corresponding to each evaluation level are determined based on the historical evaluation data corresponding to each evaluation level, which specifically includes the following process:

[0072] In order to realize the data cleaning process, in the embodiment of this specification, each historical evaluation data is converted into a data vector, so as to calculate the similarity between each data vector based on the cosine similarity algorithm, and the historical evaluation data is cleaned based on the similarity to obtain the historical evaluation data to be analyzed. Since there are multiple evaluation indicators in each evaluation level, for example, the economic evaluation level includes: crude oil price index, operating cost index, investment recovery index and other evaluable indicators, since the evaluation range is large and the difficulty is large when evaluating a large number of evaluation indicators separately, in order to reduce the complexity of the analysis data while ensuring the accuracy of the evaluation. This specification converts each historical evaluation data to be analyzed into a rank based on the Spearman correlation coefficient, so as to determine the correlation coefficient between each of the historical evaluation data to be analyzed according to the rank. By converting the historical evaluation data to be analyzed into a rank based on the Spearman correlation coefficient, the complexity of the analysis data is reduced. Compared with directly evaluating multiple evaluation indicators, converting data into a rank can simplify the analysis process and reduce the difficulty of correlation analysis and comparison between data. Then, the correlation coefficient matrix between each historical evaluation data to be analyzed is determined based on the correlation coefficient, so as to determine the main historical evaluation data in the historical evaluation data to be analyzed based on the correlation coefficient matrix. Determining the correlation coefficient matrix between the historical evaluation data to be analyzed based on the correlation coefficient can provide a more comprehensive understanding of the correlation between the historical evaluation data. By analyzing the correlation coefficient matrix, the degree of association between the evaluation indicators can be found, which helps to determine the main historical evaluation data and key indicators. Then, according to the data type of the main historical evaluation data corresponding to each evaluation level, multiple evaluation indicators corresponding to each evaluation level are determined. This process determines multiple evaluation indicators corresponding to each evaluation level, which can more comprehensively evaluate the effect and influencing factors of the evaluation level. By determining multiple evaluation indicators, the performance and effect of the oil well to be evaluated can be evaluated from different angles, thereby improving the comprehensiveness and comprehensiveness of the evaluation.

[0073] S104: converting the evaluation index corresponding to each of the heavy oil reservoir production methods into quantitative data based on a preset fuzzy evaluation method to determine a fuzzy score for each of the evaluation indexes.

[0074] In order to comprehensively evaluate the performance of each oil production method on different indicators and conduct multi-dimensional comparison and decision analysis, in the embodiment of this specification, the evaluation indicators corresponding to each heavy oil reservoir production method are converted into quantitative data according to a pre-set fuzzy evaluation method, thereby determining the fuzzy score of each evaluation indicator.

[0075] Specifically, in one or more embodiments of the present specification, the evaluation indexes corresponding to the production methods of each heavy oil reservoir are converted into quantitative data based on a preset fuzzy evaluation method to determine the fuzzy score of each evaluation index, which specifically includes the following process:

[0076] First, according to the evaluation level of each evaluation indicator, the priority of the evaluation level of each evaluation indicator is determined, and the priority is used as the scoring coefficient of the evaluation indicator. Then, the evaluation indicators of each evaluation level are sent to multiple review terminals to receive the fuzzy judgment degree between the evaluation indicators in the same evaluation level returned by multiple review terminals. Since the review standards of the review terminals are inconsistent, there are some evaluation indicators with different fuzzy judgment degrees. At this time, the fuzzy judgment degree between the evaluation indicators in the same evaluation level returned by multiple review terminals is compared to extract the disputed fuzzy judgment degree. A trigonometric function is created for the disputed evaluation indicators corresponding to each disputed fuzzy judgment degree to determine the membership corresponding to the disputed evaluation indicator based on the trigonometric function. Then, the disputed fuzzy judgment degree is corrected according to the membership corresponding to the disputed evaluation indicator to obtain the fuzzy judgment degree between the evaluation indicators, and based on the fuzzy judgment degree between the evaluation indicators, the fuzzy judgment matrix of the evaluation indicators in each evaluation level is constructed. The maximum eigenvalue of the fuzzy judgment matrix is ​​calculated according to the fuzzy judgment matrix to obtain the eigenvector corresponding to the maximum eigenvalue as the quantitative data of the evaluation indicator. Then, the quantitative data of the evaluation indicator is weighted according to the scoring coefficient of the evaluation indicator to determine the fuzzy score of each evaluation indicator.

[0077] By determining the priority of the evaluation indicators in this specification, it can be ensured that appropriate weights are given to different evaluation indicators when calculating the fuzzy score. This helps to more accurately reflect the importance and influence of different indicators in the evaluation results. By sending the evaluation indicators to multiple review terminals and comparing the fuzzy judgment degrees returned by different terminals, the inconsistencies and disputes between the review terminals can be found. By extracting the controversial evaluation indicators, the opinions and views of the review terminals can be considered more comprehensively, the objectivity and reliability of the evaluation results can be improved, and the unification of the audit standards can be facilitated. By correcting the membership of the controversial evaluation indicators, the trade-offs and preferences of the review terminals can be more accurately reflected, and the accuracy and credibility of the evaluation results can be improved. Based on the calculation of the maximum eigenvalue root of the fuzzy judgment matrix, the quantitative data of the evaluation indicators can be determined. This helps to convert the fuzzy evaluation into quantifiable data, which is convenient for subsequent comparison and analysis. By weighting according to the scoring coefficient of the evaluation indicators, the importance and priority of different evaluation indicators can be comprehensively considered.

[0078] S105: Summarizing the fuzzy scores of the evaluation indicators in each evaluation level, and determining a comprehensive evaluation of each heavy oil reservoir production method, so as to select the optimal heavy oil reservoir production method.

[0079] After the fuzzy scores of the evaluation indicators in each evaluation level are obtained according to the above step S104, the fuzzy scores of the evaluation indicators in each evaluation level are summarized to achieve a comprehensive evaluation of the production methods of each oil reservoir, so as to facilitate the selection of the optimal heavy oil reservoir production method. Specifically, in one or more embodiments of the present specification, the fuzzy scores of the evaluation indicators in each evaluation level are summarized to determine the comprehensive evaluation of the production methods of each heavy oil reservoir, which specifically includes the following process:

[0080] First, the fuzzy scores of each evaluation index in the same evaluation level are fuzzy-combined to obtain the comprehensive fuzzy evaluation of the evaluation level. It should be noted that the fuzzy-combined operation is used to merge the fuzzy scores of multiple evaluation indexes in the same evaluation level to obtain the comprehensive fuzzy evaluation of the level. Specifically, it can be a maximum and minimum operation or a weighted average operation, etc., which is not specifically limited here. Then, the comprehensive fuzzy evaluation is weighted according to the priority corresponding to the evaluation level to obtain the multi-dimensional score corresponding to each evaluation level, and the comprehensive evaluation of each heavy oil reservoir production method is determined based on the multi-dimensional score corresponding to each evaluation level. The weighted processing of the comprehensive fuzzy evaluation according to the priority corresponding to the evaluation level can reflect the importance of different evaluation indicators and make a more accurate comprehensive evaluation. The comprehensive evaluation of each heavy oil reservoir production method is determined based on the multi-dimensional score corresponding to each evaluation level, and multiple evaluation indicators can be comprehensively considered to obtain a more comprehensive and objective evaluation result. In addition, through fuzzy scoring and weighted processing, the comprehensive evaluation score of each heavy oil reservoir production method can be finally obtained. This score has a quantifiable characteristic, which is convenient for comparison and decision-making.

[0081] Further, in one or more embodiments of the present specification, after summarizing the fuzzy scores of the evaluation indicators in each evaluation level to determine the comprehensive evaluation of each heavy oil reservoir production method, in order to achieve the production increase effect of the heavy oil reservoir in the middle and late stages, the method also includes: according to the comprehensive evaluation of each heavy oil reservoir production method, determine the label corresponding to each heavy oil reservoir production method of the oil well to be evaluated; wherein, it can be understood that the label identifies the prominent direction of the comprehensive evaluation of the heavy oil reservoir production method. If it is determined that the label corresponding to the current heavy oil reservoir production method of the oil well to be evaluated does not meet the oil production strategy of the current area, then the corresponding production method is called according to the label to replace the current heavy oil reservoir production method. For example, in a certain application scenario: according to the results of the comprehensive evaluation, each heavy oil reservoir production method is labeled, and these labels can represent the prominent direction of the comprehensive evaluation results. For example, we can use labels such as "A", "B", "C" to represent different evaluation levels, where "A" represents the best and "C" represents the worst. Suppose our comprehensive evaluation results show that the comprehensive evaluation of the oil production method of a certain heavy oil reservoir is "A", but the label of the current method used by the reservoir is "C". According to our oil production strategy, we hope to use a better method to increase production. Then we can call the oil production method labeled "A", such as horizontal wells, to replace the current oil production method of the heavy oil reservoir to achieve the effect of increasing production. By labeling the comprehensive evaluation results and selecting the appropriate oil production method for replacement according to the label, we can better achieve the effect of increasing production of heavy oil reservoirs in the middle and late stages based on the current optimal oil production method for heavy oil reservoirs, and comply with the oil production strategy of the current region.

[0082] like Figure 2 As shown, the embodiment of this specification provides a schematic diagram of the structure of an evaluation device for the production method of a mid- to late-stage heavy oil reservoir, which comprises Figure 2 Known equipment includes:

[0083] at least one processor; and,

[0084] a memory communicatively connected to the at least one processor; wherein,

[0085] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to: execute any of the above-mentioned methods.

[0086] like Figure 3 As shown, the present specification provides a schematic diagram of the structure of a non-volatile storage medium. Figure 3 It can be seen that in one or more embodiments of the present specification, a non-volatile storage medium stores computer-executable instructions 301, and the computer-executable instructions 301 can: execute any of the methods described above.

[0087] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0088] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0089] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A method for evaluating the oil production mode of a mid- to late-stage heavy oil reservoir, characterized in that: The method comprises: Obtaining basic production data of each oil well in the current area to extract multi-dimensional change data from the basic production data, and determining the oil wells to be evaluated that are in the middle and late stages of production based on the multi-dimensional change data; Determining the evaluation level of the oil production methods of the plurality of heavy oil reservoirs of the oil well to be evaluated according to the current production value of the current area; Determining a plurality of evaluation indicators corresponding to each evaluation level based on historical evaluation data corresponding to each evaluation level; Based on a preset fuzzy evaluation method, the evaluation index corresponding to each of the heavy oil reservoir production methods is converted into quantitative data to determine a fuzzy score for each of the evaluation indexes; The fuzzy scores of the evaluation indicators in each evaluation level are summarized to determine the comprehensive evaluation of each heavy oil reservoir production method, so as to select the optimal heavy oil reservoir production method.

2. The method for evaluating the oil production mode of a mid- to late-stage heavy oil reservoir according to claim 1, characterized in that: The extracting of multi-dimensional change data from the basic production data and determining the oil wells to be evaluated in the middle and late stages of production based on the multi-dimensional change data specifically includes: The basic production data of the oil well to be evaluated is collected based on a preset collection cycle, and the basic production data is sorted based on the collection time to obtain a basic production data sequence; wherein the basic production data includes: oilfield geological data, oil production process data, historical production data, water injection data, and reservoir pressure data; Based on the basic production data sequence, the difference values ​​of adjacent acquisition times are calculated, and the data types corresponding to the difference values ​​are classified to obtain the production dimension change data and the technical dimension change data; wherein the production dimension change data includes: production value, recovery ratio, remaining reserves of the reservoir, and reservoir pressure change value; the technical dimension change data includes: recovery method change data; If, based on the plateau standard data corresponding to the production dimension change data and the acquisition phase data corresponding to the technical dimension change data, it is determined that both the production dimension change data and the technical dimension change data correspond to the mid-to-late production stage, then it is determined that the oil well to be evaluated is in the mid-to-late production stage.

3. The method for evaluating the oil production mode of a mid- to late-stage heavy oil reservoir according to claim 1, characterized in that: Determining the evaluation level of the oil production methods of the multiple heavy oil reservoirs of the oil well to be evaluated according to the current production value of the current area specifically includes: Obtaining the current production value of the current area, comparing the target production value of the current area with the current production value, determining the bottleneck level of the oil well to be evaluated, and determining the bottleneck level as the first priority; wherein the bottleneck level is the evaluation level that limits the heavy oil production value in the current area; Based on the target production value of the current area and the oil production process corresponding to each of the heavy oil reservoir production methods, determining a main level directly associated with the bottleneck level and a secondary level indirectly associated with the bottleneck level; The main level is determined as the second priority, and the secondary level is determined as the third priority, so as to summarize the bottleneck level, the main level and the secondary level as the evaluation level of each heavy oil reservoir production method; wherein the first priority is greater than the second priority, and the second priority is greater than the third priority.

4. The method for evaluating the oil production mode of a mid- to late-stage heavy oil reservoir according to claim 1, characterized in that: Before determining the evaluation levels of the oil production methods of the plurality of heavy oil reservoirs of the oil well to be evaluated according to the current production value of the current area, the method further comprises: Determining the geological characteristics of the current heavy oil reservoir corresponding to the oil well to be evaluated based on the basic production data of the oil well to be evaluated; Based on the geological characteristics and the reservoir characteristics of the heavy oil reservoir, determining a plurality of available heavy oil reservoir production methods for the oil well to be evaluated; The oil production equipment information and personnel information corresponding to each of the available heavy oil reservoir production methods are determined, so as to filter the available heavy oil reservoir production methods based on the idle personnel and idle oil production equipment in the current area, and obtain multiple heavy oil reservoir production methods for the oil well to be evaluated.

5. The method for evaluating the oil production mode of a mid- to late-stage heavy oil reservoir according to claim 1, characterized in that: Determining multiple evaluation indicators corresponding to each evaluation level based on the historical evaluation data corresponding to each evaluation level specifically includes: Converting each of the historical evaluation data into a data vector, calculating the similarity between each of the data vectors based on a cosine similarity algorithm, and performing data cleaning on the historical evaluation data based on the similarity to obtain the historical evaluation data to be analyzed; Converting each of the historical evaluation data to be analyzed into a rank based on the Spearman correlation coefficient, so as to determine the correlation coefficient between each of the historical evaluation data to be analyzed according to the rank; Determine a correlation coefficient matrix between each of the historical evaluation data to be analyzed based on the correlation coefficient, so as to determine main historical evaluation data in the historical evaluation data to be analyzed based on the correlation coefficient matrix; According to the data type of the main historical evaluation data corresponding to each evaluation level, a plurality of evaluation indicators corresponding to each evaluation level are determined.

6. The method for evaluating the oil production mode of a mid- to late-stage heavy oil reservoir according to claim 3, characterized in that: The method of converting the evaluation indexes corresponding to the production methods of the heavy oil reservoirs into quantitative data based on the preset fuzzy evaluation method to determine the fuzzy scores of the evaluation indexes specifically includes: Determine the priority of each evaluation indicator at the evaluation level according to the evaluation level of each evaluation indicator, and use the priority as the scoring coefficient of the evaluation indicator; Sending the evaluation indicators of each evaluation level to multiple review terminals to receive the fuzzy judgment degree between the evaluation indicators in the same evaluation level returned by the multiple review terminals; Comparing the fuzzy judgment degrees between the evaluation indicators in the same evaluation level returned by multiple review terminals to extract the fuzzy judgment degrees of disputes; Creating a trigonometric function for the dispute evaluation index corresponding to the dispute fuzzy judgment degree, so as to determine the degree of membership corresponding to the dispute evaluation index based on the trigonometric function; The dispute fuzzy judgment degree is modified based on the membership degree corresponding to the dispute evaluation index to obtain the fuzzy judgment degree between each evaluation index, and based on the fuzzy judgment degree between each evaluation index, a fuzzy judgment matrix of the evaluation index in each evaluation level is constructed; Calculating the maximum eigenvalue of the fuzzy judgment matrix according to the fuzzy judgment matrix to obtain the eigenvector corresponding to the maximum eigenvalue as the quantitative data of the evaluation index; The quantitative data of the evaluation indicators are weighted based on the scoring coefficients of the evaluation indicators to determine the fuzzy scores of the evaluation indicators.

7. The method for evaluating the oil production mode of a mid- to late-stage heavy oil reservoir according to claim 1, characterized in that: The fuzzy scores of the evaluation indicators in each evaluation level are summarized to determine the comprehensive evaluation of each heavy oil reservoir production method, specifically including: Performing fuzzy AND operation on the fuzzy scores of the evaluation indicators in the same evaluation level to obtain a comprehensive fuzzy evaluation of the evaluation level; The comprehensive fuzzy evaluation is weighted according to the priority corresponding to the evaluation level to obtain the multi-dimensional score corresponding to each evaluation level, and the comprehensive evaluation of each heavy oil reservoir production method is determined based on the multi-dimensional score corresponding to each evaluation level.

8. The method for evaluating the oil production mode of a mid- to late-stage heavy oil reservoir according to claim 1, characterized in that: After summarizing the fuzzy scores of the evaluation indicators in each evaluation level to determine the comprehensive evaluation of each heavy oil reservoir production method, the method further includes: According to the comprehensive evaluation of the oil production methods of each heavy oil reservoir, determining the label corresponding to the oil production method of each heavy oil reservoir of the oil well to be evaluated; wherein the label identifies the prominent direction of the comprehensive evaluation of the oil production method of the heavy oil reservoir; If it is determined that the label corresponding to the current heavy oil reservoir production method of the oil well to be evaluated does not conform to the oil production strategy of the current area, the current heavy oil reservoir production method is replaced based on the label.

9. An evaluation device for the production method of mid- to late-stage heavy oil reservoirs, characterized in that: The device comprises: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can: execute any of the methods described in claims 1-8.

10. A non-volatile storage medium storing computer executable instructions, wherein the computer executable instructions can: execute the method according to any one of claims 1 to 8.

Images