Steam-to-multi-element thermal fluid huff and puff development effect evaluation method

Abstract

The invention relates to a steam-to-multivariate thermal fluid huff and puff development effect evaluation method. The method specifically comprises the following steps: establishing an evaluation index system comprising a plurality of evaluation indexes; calculating first weights of the plurality of evaluation indexes based on an analytic hierarchy process; collecting well injection data, and calculating a plurality of evaluation index values according to the evaluation index system to obtain original data; calculating second weights of a plurality of evaluation indexes in the evaluation index system according to the original data; and on the basis of a combined weight of the first weight and the second weight and a relative attachment degree of the observation value of the to-be-evaluated object and the ideal solution, performing steam-to-multivariate thermal fluid huff and puff development effect evaluation on the to-be-evaluated object to obtain an evaluation result. According to the method, the accuracy and reliability of steam-to-multi-element thermal fluid huff and puff development effect evaluation can be remarkably improved, and the overall level of the development effect is reflected.

Description

Technical Field

[0001] The invention relates to the technical field of reservoir development effect evaluation, and in particular to a method for evaluating development effect of steam-to-multi-heat fluid throughput. Background Art

[0002] At present, most heavy oil fields have entered the late stage of steam stimulation, with a short stable production period, rapid production decline, high water content, and a significant decline in production efficiency. Development effect evaluation runs through the entire oil field development process and is an important means to ensure the efficient development of the oil field and determine the direction of potential development.

[0003] At present, the evaluation index of steam throughput is relatively clear, but because the multi-component thermal fluid throughput involves the synergistic effect of multiple components, and the development investment involves more economic parameters, the direct application of the traditional steam throughput evaluation method will be inapplicable. In addition, the establishment of the thermal development effect evaluation system in the past often only introduced subjective or objective evaluation methods. The subjective weighting method can ensure that the weighting result is consistent with the actual importance of the indicator, but it is more subjective and arbitrary; the objective weighting method is to determine the weight based on the relationship between the original data and the relationship between the indicators. The obtained weight is highly objective, but sometimes the weighting result does not match the actual importance of the indicator and it is difficult to give a clear explanation. Summary of the invention

[0004] The invention provides a method for evaluating the development effect of steam-to-multi-heat fluid throughput, which is used to solve the defects of the prior art.

[0005] The present invention provides a method for evaluating the effect of steam-to-multi-element thermal fluid throughput development, comprising:

[0006] S1: Establish an evaluation index system including multiple evaluation indicators;

[0007] S2: Based on the analytic hierarchy process, the first weights of multiple evaluation indicators are calculated;

[0008] S3: collecting injection well data, calculating multiple evaluation index values ​​according to the evaluation index system, and obtaining original data;

[0009] S4: Calculating second weights of multiple evaluation indicators in the evaluation indicator system according to the original data;

[0010] S5: Based on the combined weight of the first weight and the second weight, and the relative proximity between the observed value of the object to be evaluated and the ideal solution, the steam-to-multi-element thermal fluid throughput development effect of the object to be evaluated is evaluated to obtain an evaluation result.

[0011] According to a method for evaluating the development effect of steam-to-multi-heat fluid throughput provided by the present invention, the evaluation index system in step S1 includes:

[0012] Vertical indicators, including: steam-to-multi-mass oil exchange ratio, steam-to-multi-mass water recovery ratio, steam-to-multi-mass oil-gas ratio, steam-to-multi-mass production-injection ratio, and water content reduction;

[0013] Horizontal indicators, including: gas-to-oil ratio, isenthalpic oil-to-oil ratio, and water content.

[0014] According to a method for evaluating the development effect of steam-to-multi-heat fluid throughput provided by the present invention, step S1 further comprises:

[0015] S21: classifying the evaluation indicators according to the indicator attributes of the evaluation indicators to obtain indicator categories;

[0016] S22: Sort the indicator categories based on the hierarchical analysis method to obtain a judgment matrix corresponding to the indicator categories;

[0017] S23: Based on the judgment matrix, weights are assigned to the multiple evaluation indicators to obtain first weights of the multiple evaluation indicators.

[0018] According to a method for evaluating the development effect of steam-to-multi-heat fluid throughput provided by the present invention, the indicator categories in step S21 include:

[0019] The first indicator category is a basic economic indicator category, and the indicators included in the first indicator category include: steam-to-multi-mass oil-to-steam ratio, gas-to-oil ratio, and isenthalpic oil-to-oil ratio;

[0020] The second indicator category is a basic economic indicator category, and the indicators included in the second indicator category include: water content, water content reduction, steam-to-multi-mass water recovery ratio;

[0021] The third indicator category is a basic economic indicator category, and the indicators included in the third indicator category include: steam-to-multi-mass oil exchange ratio, steam-to-multi-mass production-injection ratio.

[0022] According to a method for evaluating the development effect of steam-to-multi-heat fluid throughput provided by the present invention, the judgment matrix in step S22 includes:

[0023] The total judgment matrix, the expression of the total judgment matrix is:

[0024]

[0025] Among them, B is the total judgment matrix;

[0026] The first judgment matrix corresponding to the first indicator category, the expression of the first judgment matrix is:

[0027]

[0028] Among them, B1 is the first judgment matrix;

[0029] The second judgment matrix corresponding to the second indicator category, the expression of the second judgment matrix is:

[0030]

[0031] Among them, B2 is the second judgment matrix;

[0032] The third judgment matrix corresponding to the third indicator category, the expression of the third judgment matrix is:

[0033]

[0034] Among them, B3 is the third judgment matrix.

[0035] According to a method for evaluating the development effect of steam-to-multi-heat fluid throughput provided by the present invention, step S4 further comprises:

[0036] S41: establishing an original matrix according to the original data, and performing standardization processing on the original matrix to obtain standardized data;

[0037] S42: Calculate the proportion of each evaluation indicator according to the standardized data;

[0038] S43: Calculate the information entropy of each evaluation indicator according to the proportion;

[0039] S44: Calculate second weights of multiple evaluation indicators according to the information entropy.

[0040] According to a method for evaluating the development effect of steam-to-multi-heat fluid throughput provided by the present invention, the expression of the proportion in step S42 is:

[0041]

[0042] Among them, i is the index value of the evaluation object, m is the total number of evaluation objects, j is the index value of the evaluation index, and p ij is the proportion of the jth evaluation index of the i-th evaluation object, Y ij is the evaluation index value of the jth element in the i-th row of the standardized data;

[0043] The information entropy in step S43 is expressed as:

[0044]

[0045] Among them, E j is the information entropy of the jth evaluation index;

[0046] The expression of the second weight in step S44 is:

[0047]

[0048] Among them, n is the total number of evaluation indicators, β j is the second weight of the j-th evaluation index.

[0049] According to a method for evaluating the development effect of steam-to-multi-heat fluid throughput provided by the present invention, step S5 further comprises:

[0050] S51: Calculate a combined weight according to the first weight and the second weight;

[0051] S52: Calculate the relative closeness between the observed value of the evaluation object and the ideal solution based on the TOSIS method;

[0052] S53: Calculating the evaluation score of the object to be evaluated according to the relative posting progress and the combined weight;

[0053] S54: Evaluate the object to be evaluated according to the evaluation score to obtain an evaluation result.

[0054] According to a method for evaluating the development effect of steam-to-multi-heat fluid throughput provided by the present invention, step S52 further comprises:

[0055] S521: Based on the evaluation index system, collect observation values ​​of the object to be evaluated;

[0056] S522: normalizing the observation matrix corresponding to the observation value to obtain a normalized matrix;

[0057] S523: constructing a weighted decision matrix according to the combined weights and the normalized matrix;

[0058] S524: Calculate the positive ideal solution and the negative ideal solution, and calculate the relative distances from the plurality of elements in the weighted decision matrix to the positive ideal solution and the negative ideal solution;

[0059] S525: Obtain relative closeness according to the relative distance calculation.

[0060] According to a method for evaluating the development effect of steam-to-multi-component thermal fluid throughput provided by the present invention, the expression of the normalized matrix in step S522 is:

[0061]

[0062] Among them, M is the normalized matrix, i is the evaluation object index value, m is the total number of evaluation objects, j is the evaluation index value, C ijis the observed value of the jth evaluation index of the i evaluation object;

[0063] The expression of the weighted decision matrix in step S523 is:

[0064] X = W × M;

[0065] Among them, X is the weighted decision matrix, W is the combination weight;

[0066] The relative distance in step S524 is expressed as:

[0067]

[0068] Among them, x ij is the evaluation index value of the jth element in the i-th row in the weighted decision matrix, is the optimal value of each indicator of the evaluation object, is the worst value among all the indicators of the evaluation object, is the positive relative distance of the i-th evaluation object, is the negative relative distance of the i-th evaluation object.

[0069] The present invention provides a steam-to-multi-element thermal fluid throughput development effect evaluation method. By constructing an evaluation index system including vertical indicators and horizontal indicators, the method can comprehensively and systematically reflect the various characteristics of the development effect. Compared with a single indicator evaluation, the method is more accurate and comprehensive, which helps decision makers to have a deeper understanding of the development effect. In determining the weight of the evaluation index, the present invention adopts a combination of the analytic hierarchy process (AHP) and the entropy weight method. The analytic hierarchy process can make full use of expert experience and professional knowledge to subjectively weight the evaluation index, while the entropy weight method is based on the objective information of the original data and determines the weight by calculating the information entropy. The provided combination method considers both subjective factors and objective data, making the weight distribution more reasonable, and can reflect the changes of different evaluation indicators in the actual development process, so that the evaluation result is closer to the actual situation. In calculating the relative closeness between the observed value of the evaluation object and the ideal solution, the present invention determines the quality of the evaluation object by calculating the relative distance between the evaluation object and the positive ideal solution and the negative ideal solution. It is more intuitive and can fully consider the mutual influence between the evaluation indicators. The present invention can significantly improve the accuracy and reliability of the evaluation of steam-to-multi-heat fluid throughput development effect through a comprehensive evaluation method. The obtained evaluation results not only reflect the overall level of the development effect, but also reveal the influence of each evaluation index on the overall effect, providing decision makers with more detailed and accurate evaluation information. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are 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.

[0071] Figure 1 A schematic flow chart of a method for evaluating the effect of steam-to-multi-heat fluid throughput development provided by the present invention;

[0072] Figure 2 A schematic flow chart of a method for obtaining a first weight provided by the present invention;

[0073] Figure 3 A schematic flow chart of a method for obtaining a second weight provided by the present invention;

[0074] Figure 4 A schematic flow chart of a method for obtaining evaluation results provided by the present invention. DETAILED DESCRIPTION

[0075] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments, and they should not be understood as limitations on the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. In the description of the present invention, it should be understood that the terms used are only for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0076] The embodiments of the present invention are described below with reference to the accompanying drawings.

[0077] like Figure 1 As shown, the present invention provides a method for evaluating the development effect of steam-to-multi-heat fluid throughput, comprising:

[0078] S1: Establish an evaluation index system including multiple evaluation indicators.

[0079] Furthermore, the present invention, based on the evaluation of the improvement of the development effect after the steam throughput of a certain throughput well was transformed into the multi-thermal fluid throughput development, established a vertical evaluation index for steam-to-multi-thermal fluid throughput, that is, a comparative evaluation index for the development effect of multi-thermal fluid throughput and steam throughput; in addition, based on the evaluation of the mining situation in the multi-thermal fluid throughput development stage after the steam throughput of a certain throughput well was transformed into the multi-thermal fluid throughput development, the present invention established a development effect evaluation index for the multi-thermal fluid throughput round. The specific detailed indicators are as follows.

[0080] The evaluation index system in step S1 includes:

[0081] Vertical indicators, including: steam-to-multi-mass oil exchange ratio, steam-to-multi-mass water recovery ratio, steam-to-multi-mass oil-gas ratio, steam-to-multi-mass production-injection ratio, and water content reduction.

[0082] For the vertical index, i.e., the comparative evaluation index of the development effect of multi-component thermal fluid throughput and steam throughput, it reflects the improvement of the development effect after the steam throughput of a certain throughput well is transformed into multi-component thermal fluid throughput development. The present invention takes into account the characteristics of multi-component thermal fluid throughput development, and on the basis of selecting the traditional five evaluation indicators of mass oil exchange ratio, water recovery rate, oil-gas ratio, production-injection ratio and water content, establishes multiple multi-component thermal fluid development effect vertical evaluation indicators such as steam-to-multi-component mass oil exchange ratio, steam-to-multi-component mass water recovery rate ratio, steam-to-multi-component mass oil-gas ratio, steam-to-multi-component mass production-injection ratio and water content reduction.

[0083] Specifically, the steam-to-multiple mass oil exchange ratio represents the ratio of the oil (gas + steam) ratio in the first stage of multi-element thermal fluid throughput to the oil-gas ratio in the last stage of steam throughput. The larger the value, the higher the mass oil exchange rate of the multi-element thermal fluid throughput and the better the improvement effect. The expression of the steam-to-multiple mass oil exchange ratio is:

[0084]

[0085] Among them, m oil(Steam) is the oil production of the last round of steam stimulation, m oil(MTF) is the oil production of the first cycle of multi-element thermal fluid, m Steam(Steam) is the steam injection volume of the last round of steam stimulation, m Steam(MTF) is the steam injection volume of the first cycle of multi-element thermal fluid huff and puff, The N2 injection amount for the first cycle of multi-element thermal fluid throughput, The amount of CO2 injected in the first cycle of multi-element thermal fluid huff and puff.

[0086] The ratio of water recovery rate from steam to multi-cycle indicates the ratio of water recovery rate from the first stage of multi-thermal fluid huff and puff to the last stage of steam huff and puff. The larger the value, the more condensate is returned from multi-thermal fluid huff and puff, and the better the improvement effect. The expression of water recovery rate ratio from steam to multi-cycle is:

[0087]

[0088] Among them, m waterout(Steam) is the water intake of the last round of steam stimulation, m waterout(MTF) is the water extraction volume of the last cycle of multi-element thermal fluid intake and discharge, msteamin(Steam) is the steam injection volume of the last round of steam stimulation, m steamin(MTF) It is the steam injection volume of the first cycle of multi-element thermal fluid throughput.

[0089] The steam-to-multiple cycle oil-gas ratio indicates the cycle oil-gas ratio of the first stage of multi-element thermal fluid throughput and the last stage of steam throughput. The larger the value, the more oil production of multi-element thermal fluid throughput and the better the improvement effect. The expression of the steam-to-multiple cycle oil-gas ratio is:

[0090]

[0091] Among them, m oil(Steam) is the oil production of the last round of steam stimulation, m oil(MTF) It is the oil production of the first cycle of multi-element thermal fluid intake and discharge.

[0092] The steam-to-multi-cycle production-injection ratio indicates the cycle production-injection ratio of the first stage of steam multi-heat fluid throughput and the last stage of steam throughput. The larger the value, the stronger the production capacity of multi-heat fluid throughput and the better the improvement effect. The expression of the steam-to-multi-cycle production-injection ratio is:

[0093]

[0094] Among them, m liquid(Steam) is the liquid production volume of the last round of steam stimulation, m liquid(MTF) It is the liquid production volume of the first cycle of multi-element thermal fluid throughput.

[0095] The water content reduction amplitude indicates the reduction amplitude of the water content in the first stage of multi-element thermal fluid throughput compared with that in the last stage of steam throughput. The larger the value, the stronger the ability of multi-element thermal fluid throughput to reduce water content and the better the improvement effect. The expression of water content reduction amplitude is:

[0096]

[0097] Among them, f w(MTF) is the average water content of the first cycle of multi-component thermal fluid intake and discharge, f w(Steam) The cycle average moisture content of the last round of steam stimulation.

[0098] Horizontal indicators, including: gas-to-oil ratio, isenthalpic oil-to-oil ratio, and water content.

[0099] The horizontal index, i.e., the development effect evaluation index of the multi-component thermal fluid huff and puff round, reflects the mining situation of the multi-component thermal fluid huff and puff development stage after the steam huff and puff of a certain huff and puff well is transformed into multi-component thermal fluid huff and puff development. The present invention takes into account the application characteristics of multi-component thermal fluid huff and puff, and establishes two multi-component thermal fluid development effect horizontal evaluation indicators, namely, gas-to-oil ratio and isenthalpic oil-to-oil ratio, on the basis of selecting the traditional oil-gas ratio index, and introduces the water content, a traditional evaluation index of steam huff and puff development effect.

[0100] The specific gas-to-oil ratio indicates the ratio of the oil production of a certain round of multi-element thermal fluid throughput to the fuel volume in the multi-element thermal fluid generator of that round. The larger the value, the higher the gas-to-oil ratio of the multi-element thermal fluid throughput and the better the improvement effect. The expression of the gas-to-oil ratio is:

[0101]

[0102] Among them, M oil is the oil production in a certain round, V fluegas The volume of fuel injected for this round.

[0103] The isenthalpic oil exchange ratio indicates the ratio of the oil production of a multi-component thermal fluid throughput cycle to the sum of the thermal enthalpy of the wellhead injectants in that cycle. The larger the value, the higher the utilization rate of the multi-component injectant enthalpy and the better the improvement effect of the multi-component thermal fluid. The expression of the isenthalpic oil exchange ratio is:

[0104]

[0105] Among them, H steam The enthalpy of water vapor injected into the wellhead for a certain round of multi-element thermal fluid huff and puff, The thermal enthalpy of CO2 injected into the wellhead for a certain round of multi-element thermal fluid huff and puff, Thermal enthalpy of N2 injected into the wellhead during a round of multi-component thermal fluid huff and puff.

[0106] The moisture content indicates the moisture content of a certain round of multi-component thermal fluid throughput. The smaller the value, the stronger the ability of the multi-component thermal fluid throughput to reduce the moisture content and the better the improvement effect. The expression of moisture content is:

[0107] P3=f wcycle(n) ;

[0108] Among them, f wcycle(n) is the moisture content of a certain round.

[0109] S2: Based on the analytic hierarchy process, the first weights of multiple evaluation indicators are calculated.

[0110] Furthermore, the purpose of step S2 is to classify the evaluation indicators based on the hierarchical analysis principle, and further use the hierarchical analysis method to determine the subjective weight of each indicator, that is, the first weight mentioned above.

[0111] like Figure 2 As shown, step S2 further includes:

[0112] S21: Classify the evaluation indicators according to their indicator attributes to obtain indicator categories.

[0113] The indicator categories in step S21 include:

[0114] The first indicator category is a basic economic indicator category, and the indicators included in the first indicator category include: steam-to-multi-mass oil-to-steam ratio, gas-to-oil ratio, and isenthalpic oil-to-oil ratio;

[0115] The second indicator category is a basic economic indicator category, and the indicators included in the second indicator category include: water content, water content reduction, steam-to-multi-mass water recovery ratio;

[0116] The third indicator category is a basic economic indicator category, and the indicators included in the third indicator category include: steam-to-multi-mass oil exchange ratio, steam-to-multi-mass production-injection ratio.

[0117] In step S21, firstly, each evaluation index is reclassified according to its attribute, and a hierarchical structure of the multi-element thermal fluid throughput development effect evaluation index system is obtained, specifically, the target layer: G = {multi-element thermal fluid throughput development effect evaluation}, the index layer: G = {C1, C2, C3, C4, C5, C6, C7, C8} = {steam to multi-element mass oil exchange ratio, steam to multi-element period water recovery rate, steam to multi-element period oil-gas ratio, steam to multi-element period production-injection ratio, water content reduction, gas to oil exchange ratio, isenthalpic oil exchange ratio, water content}, and then, according to the physical meaning of each index, each index is divided into three categories, that is, the criterion layer: X = {B1, B2, B3} = {basic economic index, water content evaluation index, production capacity evaluation index}, which correspond to the first index category, the second index category, and the third index category mentioned above, respectively.

[0118] S22: Sort the indicator categories based on the hierarchical analysis method to obtain a judgment matrix corresponding to the indicator categories.

[0119] In step S22, the present invention ranks the importance of different levels of the system layer in combination with the actual specific situation and the opinions of relevant experts, and determines the judgment matrix B of the criterion layer of this research model. At the same time, based on the same method, the first judgment matrix, the second judgment matrix, and the third judgment matrix of the indicator layer are obtained. The specific expressions are shown below.

[0120] Wherein, the judgment matrix in step S22 includes:

[0121] The total judgment matrix, the expression of the total judgment matrix is:

[0122]

[0123] Among them, B is the total judgment matrix;

[0124] The first judgment matrix corresponding to the first indicator category, the expression of the first judgment matrix is:

[0125]

[0126] Among them, B1 is the first judgment matrix;

[0127] The second judgment matrix corresponding to the second indicator category, the expression of the second judgment matrix is:

[0128]

[0129] Among them, B2 is the second judgment matrix;

[0130] The third judgment matrix corresponding to the third indicator category, the expression of the third judgment matrix is:

[0131]

[0132] Among them, B3 is the third judgment matrix.

[0133] S23: Based on the judgment matrix, weights are assigned to the multiple evaluation indicators to obtain first weights of the multiple evaluation indicators.

[0134] In step S23, the judgment matrix is ​​firstly checked for consistency to ensure that the elements in the matrix satisfy certain logical and mathematical relationships, and then the eigenvector method is used to calculate the eigenvector or weight vector of the judgment matrix. Each element in this vector corresponds to the weight of an evaluation index, and the first weight of each evaluation index is obtained. These weights reflect the subjective judgment of the relative importance of these indicators in the evaluation system.

[0135] S3: Collect injection well data, calculate multiple evaluation index values ​​according to the evaluation index system, and obtain original data.

[0136] In step S3, relevant data is first collected, and then the evaluation indicators of each non-condensable gas assisted steam huff and puff well at the oil field site are calculated according to the multiple indicator calculation method in step S1. In a specific embodiment, taking an oil field block as an example, the present invention sorts out the injection and production data of the steam-to-multi-thermal fluid huff and puff test well in the block, and calculates the value of each indicator respectively to obtain the original data matrix. The specific indicator values ​​are shown in Table 1. C1 to C8 in Table 1 correspond to the evaluation indicators in the evaluation indicator system in sequence.

[0137] Table 1 The values ​​of various indicators of various multi-component thermal fluid huff and puff test wells in the example oil field

[0138]

[0139]

[0140] S4: Calculate second weights of multiple evaluation indicators in the evaluation indicator system according to the original data.

[0141] like Figure 3 As shown, step S4 further includes:

[0142] S41: establishing an original matrix according to the original data, and performing standardization processing on the original matrix to obtain standardized data.

[0143] S42: Calculate the proportion of each evaluation indicator based on the standardized data.

[0144] The expression of the proportion in step S42 is:

[0145]

[0146] Among them, i is the index value of the evaluation object, m is the total number of evaluation objects, j is the index value of the evaluation index, and p ij is the proportion of the jth evaluation index of the i-th evaluation object, Y ij is the evaluation index value of the jth element in the i-th row of the standardized data.

[0147] In steps S41 to S42, firstly, an original matrix is ​​established for the n evaluation indicators and m evaluation objects of the evaluation model, and the original matrix is ​​standardized to obtain a standardized information matrix Y=(Y ij ) m*n , and further calculate the proportion p of the jth index value of the i-th evaluation object ij .

[0148] S43: Calculate the information entropy of each evaluation indicator according to the proportion.

[0149] The information entropy in step S43 is expressed as:

[0150]

[0151] Among them, E j is the information entropy of the j-th evaluation index.

[0152] S44: Calculate second weights of multiple evaluation indicators according to the information entropy.

[0153] The expression of the second weight in step S44 is:

[0154]

[0155] Among them, n is the total number of evaluation indicators, β j is the second weight of the j-th evaluation index.

[0156] S5: Based on the combined weight of the first weight and the second weight, and the relative proximity between the observed value of the object to be evaluated and the ideal solution, the steam-to-multi-element thermal fluid throughput development effect of the object to be evaluated is evaluated to obtain an evaluation result.

[0157] Furthermore, the purpose of step S5 is to determine the combined weight based on the subjective and objective weights based on the combined weighting principle, and calculate the relative closeness of the evaluation object based on the TOSIS method. Subsequently, the combined weight is assigned to the relative closeness, and after obtaining the comprehensive score of each evaluation object, the quantile classification method is used to divide the effectiveness of different wells to obtain the final evaluation result.

[0158] like Figure 4 As shown, step S5 further includes:

[0159] S51: Calculate a combined weight according to the first weight and the second weight.

[0160] In step S51, firstly, the combined weight based on the subjective and objective weights is determined based on the combined weighting principle, specifically, the subjective weight W is calculated. AHP , after objective weighting W EMW The AHP-EMW combination weight is obtained by using a hierarchical recursive method. The combination weights of each indicator are calculated based on the data in the above embodiment as shown in Table 2. The specific combination weight calculation expression is:

[0161]

[0162] Where W AHP is the weight of the hierarchical analysis method, that is, the first weight, W EMW is the weight of the entropy weight method, that is, the second weight, and W is the calculated combined weight.

[0163] Table 2 Weight of each indicator

[0164]

[0165] S52: Calculate the relative closeness between the observed value of the evaluation object and the ideal solution based on the TOSIS method.

[0166] Furthermore, TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is a multi-attribute decision analysis method that ranks evaluation objects by calculating their relative closeness to an ideal solution. An ideal solution is a hypothetical optimal solution whose all index values ​​are optimal, while a negative ideal solution is a solution whose all index values ​​are the worst.

[0167] Wherein, step S52 further comprises:

[0168] S521: Based on the evaluation index system, collect observation values ​​of the object to be evaluated.

[0169] In step S521, the purpose is to collect the observed values ​​of all the objects to be evaluated under a given evaluation index system, specifically, for each evaluation object, the index value is collected according to the index system.

[0170] S522: Normalize the observation matrix corresponding to the observation value to obtain a normalized matrix.

[0171] Since the units and dimensions of different indicators may be different, normalization is to eliminate these differences and make all indicator values ​​comparable on the same scale. Therefore, in step S522, the present invention divides each element in the observation matrix by the square root of the sum of the squares of the column (i.e., the same indicator) to obtain a normalized matrix. The specific expression is as follows.

[0172] The expression of the normalized matrix in step S522 is:

[0173]

[0174] Among them, M is the normalized matrix, i is the evaluation object index value, m is the total number of evaluation objects, j is the evaluation index value, C ij is the observed value of the jth evaluation index of the i-th evaluation object.

[0175] S523: Construct a weighted decision matrix according to the combined weights and the normalized matrix.

[0176] In step S523, the present invention considers the importance (weight) of different indicators and reflects these differences by weighting, specifically, multiplying each element in the normalized matrix by the weight of its corresponding indicator to obtain a weighted decision matrix.

[0177] The expression of the weighted decision matrix in step S523 is:

[0178] X = W × M;

[0179] Among them, X is the weighted decision matrix and W is the combination weight.

[0180] S524: Calculate the positive ideal solution and the negative ideal solution, and calculate the relative distances from the plurality of elements in the weighted decision matrix to the positive ideal solution and the negative ideal solution.

[0181] The relative distance in step S524 is expressed as:

[0182]

[0183] Among them, x ij is the evaluation index value of the jth element in the i-th row in the weighted decision matrix, is the optimal value of each indicator of the evaluation object, is the worst value among all the indicators of the evaluation object, is the positive relative distance of the i-th evaluation object, is the negative relative distance of the i-th evaluation object.

[0184] S525: Obtain relative closeness according to the relative distance calculation.

[0185] In steps S524 to S525, the positive ideal solution x+ and the negative ideal solution x- of each indicator are first calculated, and then the distance from each evaluation indicator to the positive ideal solution and the negative ideal solution is further calculated. The relative closeness of the evaluation value of each evaluation object is subsequently calculated. The specific expression is:

[0186]

[0187] Among them, S j is the relative progress of the jth evaluation object, is the distance from the evaluation index of the jth evaluation object to the positive ideal solution, is the distance from the evaluation index of the jth evaluation object to the negative ideal solution.

[0188] S53: Calculate the evaluation score of the object to be evaluated according to the relative posting progress and the combined weight.

[0189] In step S53, the combined weight of the (AHP-EMW) combined weighting method obtained above is assigned to the relative progress of the TOPSIS method, that is, the comprehensive score of each multi-component thermal fluid huff-and-puff test well in the evaluation block is obtained. The specific evaluation results are shown in Table 3.

[0190] Table 3 Comprehensive evaluation scores and rankings of multi-component thermal fluid test wells in the example oil field

[0191]

[0192]

[0193] S54: Evaluate the object to be evaluated according to the evaluation score to obtain an evaluation result.

[0194] In the final step S54, the quantile classification method is used to divide the data quartiles into four intervals, that is, the application effect of the multi-component thermal fluid technology in different multi-component thermal fluid huff-and-puff test wells in the M block is divided into U={good effect, relatively good effect, average effect, poor effect}. The evaluation results are shown in Table 4.

[0195] Table 4 The classification of the multi-element thermal fluid test wells in Block M

[0196]

[0197] The present invention provides a method for evaluating the development effect of steam-to-multi-element thermal fluid throughput, which aims to solve the problem of how to establish a comprehensive evaluation system for the development effect of steam throughput-to-multi-element thermal fluid throughput, so as to effectively solve the problem of the inapplicability of traditional steam thermal recovery effect evaluation methods when evaluating the development effect of existing multi-media assisted steam throughput; it also solves the problem of how to comprehensively utilize the experts' own knowledge and experience and objective production data to avoid the limitations of a single method in empowerment.

[0198] The present invention provides a method for evaluating the development effect of steam-to-multi-component thermal fluid throughput. Based on the development characteristics and production characteristics of multi-component thermal fluid throughput, an evaluation index suitable for the development effect of multi-component thermal fluid throughput is established, avoiding the problem of applying the previous steam throughput evaluation index but not being applicable. At the same time, multi-criteria decision-making theory is used to construct a steam-to-multi-component thermal fluid throughput development effect evaluation model based on the analytic hierarchy process (AHP), the entropy weight method, the subjective and objective combined weighting and the approach to ideal solution ranking method (TOPSIS).

[0199] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for evaluating the development effect of steam-to-multiple thermal fluid throughput, characterized in that: include: S1: Establish an evaluation index system including multiple evaluation indicators; S2: Based on the analytic hierarchy process, the first weights of multiple evaluation indicators are calculated; S3: collecting injection well data, calculating multiple evaluation index values ​​according to the evaluation index system, and obtaining original data; S4: Calculating second weights of multiple evaluation indicators in the evaluation indicator system according to the original data; S5: Based on the combined weight of the first weight and the second weight, and the relative proximity between the observed value of the object to be evaluated and the ideal solution, the steam-to-multi-element thermal fluid throughput development effect of the object to be evaluated is evaluated to obtain an evaluation result.

2. A method for evaluating the development effect of steam-to-multi-heat fluid throughput according to claim 1, characterized in that: The evaluation index system in step S1 includes: Vertical indicators, including: steam-to-multi-mass oil exchange ratio, steam-to-multi-mass water recovery ratio, steam-to-multi-mass oil-gas ratio, steam-to-multi-mass production-injection ratio, and water content reduction; Horizontal indicators, including: gas-to-oil ratio, isenthalpic oil-to-oil ratio, and water content.

3. A method for evaluating the development effect of steam-to-multi-heat fluid throughput according to claim 1, characterized in that: Step S1 further comprises: S21: classifying the evaluation indicators according to the indicator attributes of the evaluation indicators to obtain indicator categories; S22: Sort the indicator categories based on the hierarchical analysis method to obtain a judgment matrix corresponding to the indicator categories; S23: Based on the judgment matrix, weights are assigned to the multiple evaluation indicators to obtain first weights of the multiple evaluation indicators.

4. A method for evaluating the development effect of steam-to-multi-heat fluid throughput according to claim 3, characterized in that: The indicator categories in step S21 include: The first indicator category is a basic economic indicator category, and the indicators included in the first indicator category include: steam-to-multi-mass oil-to-steam ratio, gas-to-oil ratio, and isenthalpic oil-to-oil ratio; The second indicator category is a basic economic indicator category, and the indicators included in the second indicator category include: water content, water content reduction, steam-to-multi-mass water recovery ratio; The third indicator category is a basic economic indicator category, and the indicators included in the third indicator category include: steam-to-multi-mass oil exchange ratio, steam-to-multi-mass production-injection ratio.

5. A method for evaluating the development effect of steam-to-multi-heat fluid throughput according to claim 4, characterized in that: The judgment matrix in step S22 includes: The total judgment matrix, the expression of the total judgment matrix is: Among them, B is the total judgment matrix; The first judgment matrix corresponding to the first indicator category, the expression of the first judgment matrix is: Among them, B1 is the first judgment matrix; The second judgment matrix corresponding to the second indicator category, the expression of the second judgment matrix is: Among them, B2 is the second judgment matrix; The third judgment matrix corresponding to the third indicator category, the expression of the third judgment matrix is: Among them, B3 is the third judgment matrix.

6. A method for evaluating the development effect of steam-to-multi-heat fluid throughput according to claim 1, characterized in that: Step S4 further comprises: S41: establishing an original matrix according to the original data, and performing standardization processing on the original matrix to obtain standardized data; S42: Calculate the proportion of each evaluation indicator according to the standardized data; S43: Calculate the information entropy of each evaluation indicator according to the proportion; S44: Calculate second weights of multiple evaluation indicators according to the information entropy.

7. A method for evaluating the development effect of steam-to-multi-heat fluid throughput according to claim 6, characterized in that: The expression of the proportion in step S42 is: Among them, i is the index value of the evaluation object, m is the total number of evaluation objects, j is the index value of the evaluation index, and p ij is the proportion of the jth evaluation index of the i-th evaluation object, Y ij is the evaluation index value of the jth element in the i-th row of the standardized data; The information entropy in step S43 is expressed as: Among them, E j is the information entropy of the jth evaluation index; The expression of the second weight in step S44 is: Among them, n is the total number of evaluation indicators, β j is the second weight of the j-th evaluation index.

8. A method for evaluating the development effect of steam-to-multi-heat fluid throughput according to claim 1, characterized in that: Step S5 further comprises: S51: Calculate a combined weight according to the first weight and the second weight; S52: Calculate the relative closeness between the observed value of the evaluation object and the ideal solution based on the TOSIS method; S53: Calculating the evaluation score of the object to be evaluated according to the relative posting progress and the combined weight; S54: Evaluate the object to be evaluated according to the evaluation score to obtain an evaluation result.

9. A method for evaluating the development effect of steam-to-multi-heat fluid throughput according to claim 8, characterized in that: Step S52 further comprises: S521: Based on the evaluation index system, collect observation values ​​of the object to be evaluated; S522: normalizing the observation matrix corresponding to the observation value to obtain a normalized matrix; S523: constructing a weighted decision matrix according to the combined weights and the normalized matrix; S524: Calculate the positive ideal solution and the negative ideal solution, and calculate the relative distances from the plurality of elements in the weighted decision matrix to the positive ideal solution and the negative ideal solution; S525: Obtain relative closeness according to the relative distance calculation.

10. A method for evaluating the development effect of steam-to-multi-heat fluid throughput according to claim 9, characterized in that: The expression of the normalized matrix in step S522 is: Among them, M is the normalized matrix, i is the evaluation object index value, m is the total number of evaluation objects, j is the evaluation index value, C ij is the observed value of the jth evaluation index of the i evaluation object; The expression of the weighted decision matrix in step S523 is: X = W × M; Among them, X is the weighted decision matrix, W is the combination weight; The relative distance in step S524 is expressed as: Among them, x ij is the evaluation index value of the jth element in the i-th row in the weighted decision matrix, is the optimal value of each indicator of the evaluation object, is the worst value among all the indicators of the evaluation object, is the positive relative distance of the i-th evaluation object, is the negative relative distance of the i-th evaluation object.

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