Gas production process effect analysis method and device, storage medium and equipment

Abstract

The application provides a gas production process effect analysis method, system, storage medium and equipment, the method comprises the following steps: obtaining gas well production dynamic data, and calculating gas production process effect evaluation indexes; according to the calculated gas production process effect evaluation indexes, combining a fuzzy evaluation method, a gas production process effect comprehensive evaluation method is established; the weight of the gas production process evaluation index is determined by using the fuzzy analytic hierarchy process; the gas production process comprehensive evaluation index is obtained by using the gas production process effect comprehensive evaluation method and combining the weight of the gas production process evaluation index, the gas production process effect is evaluated, and the gas production process effect is analyzed. Through the analysis of the gas well production dynamic parameters, the gas production effect evaluation indexes are selected, the fuzzy comprehensive evaluation method is combined, the gas production process effect evaluation method and equipment are established, the gas production process comprehensive evaluation indexes are calculated, the quantitative evaluation of the gas well gas production process effect is realized, and data support is provided for the selection and optimization of the gas field drainage measures.

Description

Technical Field

[0001] This invention belongs to the field of oil and gas production technology in the petroleum industry, and particularly relates to a method, apparatus, storage medium and equipment for analyzing the effects of gas production processes. Background Technology

[0002] There are currently a large number of gas wells in gas fields both domestically and internationally, and they are in the middle and late stages of development. Taking the Moxi Gas Field in central Sichuan as an example, due to factors such as profitability, technology, management, and safety, a large number of wells have been shut down, but they still have considerable exploitation potential.

[0003] As an essential technical means to maintain the continuous and effective production of water-producing gas wells and improve recovery rate, gas production technology has been developed over many years and has formed a variety of supporting gas production technologies, such as gas lift, bubble drainage, mechanical pumping, electric submersible pump, optimized tubing string, plunger lift, and screw pump. Significant technical, economic and social benefits have been achieved in field implementation.

[0004] Currently, there is no objective and systematic quantitative evaluation method for the gas production process effect in oilfields. It is impossible to compare the drainage and gas production effects of different types of wells and different process types, making it difficult to improve based on existing technologies. It is also difficult to detect the inapplicability of the process in a timely manner, thus missing the appropriate opportunity to change drainage and gas production measures.

[0005] Furthermore, in terms of the selection of gas production effect evaluation indicators, the parameters are greatly affected by environmental factors and human experience, and the timeliness of the process is ignored, so the effect of gas well drainage and production recovery cannot be objectively and scientifically judged. Summary of the Invention

[0006] To address the shortcomings of existing technologies, this invention provides a method for analyzing the effectiveness of gas extraction processes, the method comprising:

[0007] Acquire dynamic data on gas well production and calculate evaluation indicators for gas production process effectiveness;

[0008] Based on the calculated gas production process effectiveness evaluation indicators, and combined with the fuzzy evaluation method, a comprehensive evaluation method for gas production process effectiveness is established.

[0009] The weights of gas production process evaluation indicators were determined using fuzzy hierarchical analysis.

[0010] By using a comprehensive evaluation method for gas production technology effectiveness and combining the weights of gas production technology evaluation indicators, a comprehensive evaluation index for gas production technology is obtained.

[0011] The gas extraction process effectiveness is evaluated and analyzed using the comprehensive evaluation index.

[0012] Furthermore, the evaluation indicators for gas extraction process effectiveness need to take into account the impact of the timeliness of the gas extraction process.

[0013] The evaluation indicators for the gas production process include: the proportion of maximum production capacity at the wellhead, the effective period of gas production, the proportion of cumulative gas production increase, and the proportion of cumulative water production increase.

[0014] Furthermore, the gas well production dynamic data, expressed in days, includes: average oil pressure, gas production, water production, cumulative gas production, cumulative water production, formation pressure, single-well dynamic reserves, and gas production process information for the corresponding production day.

[0015] Furthermore, the method for establishing a comprehensive evaluation method for gas extraction process effectiveness includes:

[0016] Five value ranges were defined for the evaluation indicators of gas production process effectiveness, and review levels were set according to different value ranges to form a set of gas production process effectiveness evaluation criteria.

[0017] Establish a membership matrix for gas extraction process effects;

[0018] Based on the established gas production process effect membership matrix, the boundaries of gas production process evaluation indicators are delineated to reflect the degree of membership of the evaluation indicators to the evaluation set.

[0019] The membership degree matrix of the gas extraction process effect is calculated by linear analysis to form the membership degree matrix.

[0020] Furthermore, the determination of the weights for the gas production process evaluation indicators includes:

[0021] Construct a judgment matrix to represent the importance of pairwise comparisons of each evaluation indicator;

[0022] The consistency of the constructed judgment matrix is ​​checked to obtain the fuzzy consistency judgment matrix;

[0023] The analytic hierarchy process (AHP) and row sum normalization method were used to calculate the fuzzy consistency judgment matrix and obtain the weights of the evaluation indicators for each gas production process.

[0024] Furthermore, the construction of the judgment matrix includes: using the nine-scale method to divide the judgment matrix into nine scales;

[0025] The consistency check includes: when the scale of the judgment matrix is ​​of order 1 or 2, the judgment matrix does not need to be checked for consistency.

[0026] When the number of scales in the judgment matrix is ​​greater than or equal to 3, the consistency of the judgment matrix needs to be checked by the random consistency ratio.

[0027] When the random consistency ratio is less than 0.1, it indicates that the judgment matrix is ​​consistent, and a fuzzy consistency judgment matrix is ​​obtained.

[0028] If the random consistency ratio is greater than 0.1, the judgment matrix needs to be corrected until the random consistency ratio is less than 0.1.

[0029] Furthermore, the evaluation results include:

[0030] Using the operator fuzzy synthesis method, the weights and membership matrices of the gas production process effect evaluation indicators are synthesized to obtain the evaluation vector;

[0031] The gas production process evaluation index is calculated based on the evaluation set and evaluation vector.

[0032] The gas production process evaluation index is mapped to the defined evaluation index boundaries to obtain the evaluation results.

[0033] Furthermore, the analysis of the gas field production technology effectiveness includes: overall gas field production technology effectiveness analysis, gas production technology effectiveness block application analysis, gas well production and comprehensive index relationship analysis, and technology effectiveness period and comprehensive index relationship analysis.

[0034] A gas extraction process effect analysis system includes: an evaluation index calculation module, an evaluation method establishment module, an evaluation index weight calculation module, an effect evaluation module, and an analysis module.

[0035] The evaluation index calculation module is used to acquire gas well production dynamic data on a daily basis and to calculate the established gas production process effect evaluation index.

[0036] The evaluation method establishment module adopts the fuzzy evaluation method and combines the gas production process effect evaluation index calculated by the evaluation index calculation module to establish a comprehensive evaluation method for gas production process effect.

[0037] The evaluation index weight calculation module uses fuzzy hierarchical analysis to determine the weights of the gas production process evaluation indexes.

[0038] The effect evaluation module uses a comprehensive evaluation method for gas production process effect, and combines the weights of gas production process evaluation indicators to obtain a comprehensive evaluation index for gas production process, and obtains the gas production process effect evaluation result.

[0039] The analysis module uses the gas production process effect evaluation results obtained from the effect evaluation module to analyze the application effect of gas field gas production processes.

[0040] A computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the method according to any one of claims 1-8.

[0041] An electronic device comprising at least one memory, a processor, and an evaluator;

[0042] The memory is used to acquire and store the original formation pressure of the gas well, the dynamic reserves of a single well, the dynamic production data, the gas production process type and application time, and to store the execution instructions related to the gas production process effect evaluation method.

[0043] The processor is used to process dynamic data of gas well production before and after the application of gas production technology, and to execute relevant instructions for gas production technology effect evaluation methods.

[0044] The evaluator receives the evaluation results of each gas production process from the processor and sets corresponding thresholds for the comprehensive evaluation index of the gas production process.

[0045] Compared with the prior art, the present invention has the following advantages:

[0046] This invention provides a method, system, storage medium, and equipment for analyzing the effect of gas production processes. By analyzing the dynamic parameters of gas well production, gas production effect evaluation indicators are selected. Combined with the fuzzy comprehensive evaluation method, a method and equipment for evaluating the effect of gas production processes are established. The comprehensive evaluation indicators of gas production processes are calculated, thereby realizing a quantitative evaluation of the effect of gas well production processes and providing data support for the selection and optimization of gas field drainage measures.

[0047] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures pointed out in the description, claims and drawings. Attached Figure Description

[0048] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0049] Figure 1 A flowchart of a gas extraction process effect analysis method is shown.

[0050] Figure 2 The flowchart illustrating the present invention for determining the effective period of gas extraction technology is shown.

[0051] Figure 3 The scale table of the nine-scale method used in this invention is shown.

[0052] Figure 4 The table of average random consistency indexes in this invention is shown.

[0053] Figure 5The table showing the boundary of evaluation index for gas production technology of the Moxi gas well in central Sichuan in an embodiment of the present invention is illustrated.

[0054] Figure 6 The diagram shows the distribution of comprehensive indicators of the gas production process of the Moxi gas well in central Sichuan in an embodiment of the present invention.

[0055] Figure 7 A planar distribution diagram of the gas production process effect of the Moxi gas well in Sichuan Province in an embodiment of the present invention is shown.

[0056] Figure 8 The diagram shows the distribution of gas production and comprehensive gas extraction technology indicators of the Chuanzhong Moxi gas well in an embodiment of the present invention.

[0057] Figure 9 The diagram shows the distribution of the effective period of the gas well technology and the comprehensive indicators of gas production technology in the Chuanzhong Moxi gas well embodiment of the present invention.

[0058] Figure 10 A schematic diagram of a gas extraction process effect analysis system is shown.

[0059] Figure 11 A schematic diagram of an electronic device for analyzing the effect of gas extraction process is shown. Detailed Implementation

[0060] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0061] like Figure 1 As shown, a method for analyzing the effectiveness of gas extraction technology includes the following steps:

[0062] S1. Obtain dynamic production data of gas wells in days and calculate the evaluation index of gas production process effectiveness.

[0063] Optionally, dynamic gas well production data, including: average oil pressure (MPa), gas production (10... 4 m 3 ), water production (m³) 3 ), cumulative gas production (10 4 m 3 ), cumulative water production (m³) 3 ), formation pressure (MPa), dynamic reserves of a single well (10 8 m 3 Information such as the gas extraction process measures for the corresponding production day.

[0064] Optionally, the evaluation indicators include: the proportion of maximum production capacity at the gas wellhead, the effective period of gas production, the proportion of cumulative increase in gas production, and the proportion of cumulative increase in water production.

[0065] S1.1 Calculate the maximum production capacity ratio at the wellhead of the gas well.

[0066] S1.1.1 Treating the gas flow in the formation and wellbore as a whole, the maximum wellhead productivity is calculated using a single-point inflow dynamic formula. The formula is expressed as follows:

[0067]

[0068] Among them, Q A Maximum wellhead production capacity (10) 4 m 3 );q sc Daily gas production (10 4 m 3 ); P D Dimensionless pressure.

[0069] Optionally, the dimensionless pressure is expressed by the formula:

[0070]

[0071] Among them, P R The current formation pressure (MPa); P tf This represents the wellhead pressure (MPa).

[0072] S1.1.2. Based on the maximum wellhead productivity of the gas well before and after the implementation of the gas production technology, calculate the percentage increase in the maximum wellhead productivity before and after the implementation of the gas production technology. The formula is as follows:

[0073]

[0074] Where, N A This represents the percentage increase in the maximum production capacity at the wellhead; Q A2 The maximum wellhead production capacity after the implementation of the gas production technology (10 4 m 3 / d);Q A1 The maximum wellhead production capacity (10) the day before the gas production process was implemented. 4 m 3 / d).

[0075] S1.2, such as Figure 2 As shown, the steps for calculating the effective period of the gas production process include:

[0076] S1.2.1 Establish a dynamic dataset of gas well production.

[0077] S1.2.2, The maximum wellhead production capacity Q for each day after the gas production process is implemented. A(1+i) The maximum wellhead production capacity Q one day before the gas production process was implemented A1 Compare them.

[0078] S1.2.3. Determine the effective period of the gas extraction process based on the comparison results.

[0079] Alternatively, when Q A(1+i) >Q A1 If the condition is met, the number of days i is output, which is the effective period of the gas extraction process; otherwise, the comparison continues until the condition is met.

[0080] S1.3 Calculate the cumulative increase in gas production before and after the implementation of the gas extraction process.

[0081] S1.3.1 Calculate the difference between the cumulative gas production during the effective period after the implementation of the gas extraction technology and the original cumulative gas production outside the effective period of the gas extraction technology to obtain the cumulative increase in gas production. The formula is expressed as follows:

[0082] A g =B g -Q g T

[0083] Among them, A g The cumulative increase in gas production during the effective period of the gas extraction technology (10 4 m 3 ); B g The cumulative gas production during the effective period of the gas extraction process (10 4 m 3 );Q g The daily gas production before the implementation of the gas extraction process (10 4 m 3 / d); t is the effective period of the gas extraction process (d).

[0084] S1.3.2. Based on the ratio of the calculated cumulative increase in gas production to the original cumulative gas production within the validity period, calculate the cumulative increase in gas production ratio, expressed by the formula:

[0085]

[0086] in, This represents the cumulative increase in gas production as a percentage.

[0087] S1.4 Calculate the cumulative increase in water production before and after the implementation of the gas extraction process.

[0088] S1.4.1 Calculate the difference between the cumulative water production during the effective period after the implementation of the gas extraction technology and the original cumulative water production during the effective period without the gas extraction technology to obtain the cumulative increase in water production. The formula is expressed as follows:

[0089] Aw =B w -Q w T

[0090] Among them, A w The cumulative increase in water production (m³) during the effective period of the gas extraction technology 3 ); B w The cumulative water production during the effective period of the gas extraction process (10 4 );Q w Daily water production before gas extraction process (m³) 3 / d); t is the effective period of the gas extraction process (d).

[0091] S1.4.2. Based on the ratio of the calculated cumulative increase in water production to the original cumulative water production within the validity period, calculate the cumulative increase in water production ratio, expressed by the formula:

[0092]

[0093] in, This represents the cumulative increase in gas production as a percentage.

[0094] S2. Using the fuzzy evaluation method and combining the gas production process effect evaluation index calculated in step S2, a comprehensive evaluation method for gas production process effect is established.

[0095] S2.1 Five value ranges are defined for the gas production process effectiveness evaluation indicators, and review levels are set according to different value ranges to form a gas production process effectiveness evaluation set, which is represented as follows:

[0096] Z = {Z1, Z2, Z3, Z4, Z5} = {Poor, Average, Good, Excellent, Very Good}

[0097] In the formula, Z j (j = 1, 2, 3, 4, 5) represents the evaluation level.

[0098] S2.2 Establish a membership matrix for gas well production process effectiveness. To consider the interrelationships among the evaluation indicators of gas well production process effectiveness, a single-factor evaluation R is performed on each evaluation indicator. i Membership degrees, which represent the degree to which each factor approaches the level boundary, are calculated using linear analysis, thus forming a membership matrix R, expressed by the formula:

[0099] R i =(r 11 ,r 12 ,…,r ij (i = 1, 2, ..., n)

[0100] Among them, R i Let u be the i-th evaluation index i The corresponding membership degree; rij For the evaluation index u i The degree of approximation to Z, 0≤r ij ≤1; n: number of evaluation factors.

[0101] Alternatively, where r ij The calculation formula is expressed as follows:

[0102]

[0103] S2.3, Define the boundaries of gas production process evaluation indicators. This is to reflect the evaluation indicators u... i For the evaluation set Z j To determine the degree of affiliation, it is necessary to provide the dividing lines for different levels of each indicator.

[0104] Optionally, the evaluation index u i Divided into m levels, namely (a1, a2, ..., a m ), where a j For the evaluation index u i The corresponding level limit value.

[0105] S3. Use fuzzy hierarchical analysis to determine the weights of gas production process evaluation indicators.

[0106] S3.1 By comparing the impact of gas production process evaluation indicators on the gas production process effect, a judgment matrix is ​​constructed to represent the importance of pairwise comparison of each evaluation indicator.

[0107] S3.1.1 Construct the original judgment matrix, whose formula is expressed as follows:

[0108] E=(b ij ) n×n

[0109] Where E is the judgment matrix, b ij To determine the elements in a matrix.

[0110] Alternatively, determine the element b in matrix E. ij The condition is met: 0 < b ij <10, b ji =1 / b ij , i=1, 2,...,n; j=1, 2,...,n.

[0111] S3.1.2, such as Figure 3 As shown, the nine-scale method is used to meticulously divide the judgment matrix to reflect the importance of pairwise comparisons of each evaluation indicator.

[0112] Optionally, in the judgment matrix E, element b ij In the middle, when b ijWhen b = 1, it means that influence factors i and j are equally important. ij A larger value indicates that evaluation index i is more important than j, and vice versa. Therefore, a fuzzy judgment matrix is ​​established, represented as follows:

[0113]

[0114] S3.2 Perform a consistency check on the constructed judgment matrix.

[0115] S3.2.1 When the scale of the judgment matrix is ​​1st or 2nd order, the matrix does not need to be checked for consistency.

[0116] When the number of scales is greater than or equal to 3, the consistency of the matrix needs to be tested using the random consistency ratio (CR). When CR is less than 0.1, it indicates that the matrix passes the consistency test. The formula is as follows:

[0117]

[0118] CI=(λ max -n) / (n-1)

[0119] Where RI is the Random Index, and CI is the Consistency Index. RI is assigned values ​​as follows: Figure 4 As shown;

[0120] S3.2.2 Based on the calculation results, determine whether the constructed judgment matrix is ​​a fuzzy consistency judgment matrix.

[0121] Optionally, if CR is less than 0.1, the judgment matrix is ​​considered consistent; otherwise, if CR is greater than 0.1, the judgment matrix needs to be corrected.

[0122] S3.3 Calculate the total weight of the gas production process effect evaluation indicators.

[0123] S3.3.1. The weights of the gas production process effectiveness evaluation indicators and the weights of each level of evaluation indicators are determined using the analytic hierarchy process (AHP), as expressed in the following form:

[0124] M = (M1, M2, ..., M n )

[0125] Among them, M i For u i The degree of importance is expressed as follows:

[0126]

[0127] S3.3.2. The eigenvectors of the judgment matrix are obtained using the row sum normalization method. These eigenvectors represent the weights of the evaluation indicators at each level, and their formula is expressed as follows:

[0128]

[0129] Alternatively, the order of weights for gas production process effectiveness from largest to smallest is: the percentage increase in maximum wellhead production capacity (N) A ), cumulative increase in gas production ratio (f Ag ), gas extraction process validity period (T), cumulative increase in water production ratio (f) Aw ).

[0130] S4. Utilize the comprehensive evaluation method for gas production process effectiveness and combine it with the weights of gas production process evaluation indicators to obtain a comprehensive evaluation index for gas production process effectiveness, and evaluate the gas production process effectiveness.

[0131] S4.1. Using the (+, *) operator fuzzy synthesis method, the weight M and membership matrix R are synthesized to obtain the final evaluation vector S, which is expressed by the formula:

[0132] S = M·R = (S1,S2,…,S) j )

[0133] S4.2. The gas production process evaluation index I is calculated based on the evaluation set Z and the evaluation vector S. Its formula is as follows:

[0134]

[0135] S4.3. Based on the calculated evaluation index I, match it with the evaluation index boundaries defined in step S3 to obtain the evaluation result.

[0136] S5. Analyze the application effect of gas field gas production technology using the evaluation results obtained in step S4.

[0137] Optionally, the effectiveness of gas field production technology applications can be analyzed, including: overall effectiveness analysis of gas field production technology, application of production technology in specific blocks, relationship analysis between gas well production and comprehensive index I, and relationship analysis between technology effectiveness period and comprehensive index I.

[0138] S5.1 By selecting parameters and the comprehensive evaluation index I of the gas production process, a distribution map of the comprehensive evaluation index I in the study area is drawn to analyze the overall effect of the process.

[0139] S5.2. Based on the calculated comprehensive evaluation index I value of gas production technology for different wells, draw a planar distribution map of the gas production technology effect of gas wells, evaluate the planar distribution of the gas production technology effect of gas wells, and determine the area with better application effect of gas production technology in this block.

[0140] S5.3. Clarify the effectiveness of gas production technology applications in gas wells under different gas production rates. Based on the actual daily gas production of production wells, classify them into high-yield wells (average gas production ≥ 25000 m³ / h). 3 / d), medium-yield wells (10000m) 3 / d≤Average gas production<25000m 3 / d) and low-yield wells (average gas production <10000m) 3 / d), analyze whether production output is the main controlling factor affecting the gas extraction process effect.

[0141] S5.4 Analyze the effectiveness of gas production technology in gas wells under different technology validity periods.

[0142] In another embodiment of the present invention, a gas well in the Moxi gas field in central Sichuan is taken as an example.

[0143] S1. Obtain dynamic production data of gas wells on a daily basis and calculate the evaluation index of gas production process effectiveness.

[0144] S2, such as Figure 5 As shown, the changes in production dynamics data of 60 gas wells in the Moxi block of Sichuan before and after the implementation of gas production technology were statistically analyzed, the level limit values ​​corresponding to the evaluation indicators were determined, and a table of the division limits of gas production technology evaluation indicators was drawn.

[0145] S3. Use fuzzy hierarchical analysis to determine the weights of gas production process evaluation indicators.

[0146] S4. Use the comprehensive evaluation method of gas production technology effect and combine the weight of gas production technology evaluation index to obtain the comprehensive evaluation index of gas production technology and evaluate the effect of gas production technology.

[0147] S5. Analyze the application effect of gas field gas production technology using the evaluation results obtained in step S5.

[0148] S5.1. By selecting parameters and the comprehensive evaluation index I of gas production technology, a distribution map of the evaluation index I of the Moxi Gas Field in central Sichuan is drawn, as shown below. Figure 6 As shown, the overall effect of the process is analyzed.

[0149] Optionally, analysis shows that the comprehensive gas production technology index I of the Moxi Gas Field in central Sichuan is distributed within the range of [0, 100], exhibiting a left-skewed distribution. The mode is relatively large within the range of (60, 80). Furthermore, 48 wells have a comprehensive gas production technology evaluation of "good" or above, accounting for 80% of all gas wells. Overall, the gas production technology effect of the Moxi Gas Field in central Sichuan is relatively good. Based on the calculated comprehensive gas production technology evaluation index I values ​​of different wells, a planar distribution map of the gas production technology effect of gas wells in the Moxi block in central Sichuan is drawn. The gas production technology effect evaluation of gas wells in the central part of the Moxi Gas Field is generally good.

[0150] S5.2. Based on the calculated comprehensive evaluation index I value of gas production technology for different wells, draw a planar distribution map of the gas production technology effect of gas wells in the Moxi block of central Sichuan, such as... Figure 7 As shown, the planar distribution of the gas production technology effect of gas wells in the Moxi block of Sichuan Province is evaluated, and the areas with better application effects of the gas production technology in this block are identified.

[0151] Alternatively, analysis shows that the gas production technology of gas wells in the central part of the Moxi gas field generally performs well, while the gas production technology of some gas wells on the east and west sides performs only moderately. This is because during the geological formation of the Moxi gas field, oil and gas accumulated in the middle of the oil and gas reservoir trap, resulting in better geological conditions and larger oil and gas reserves in the gas wells in the central part of the Moxi gas field. After implementing the gas production technology, the production increase effect is obvious.

[0152] S5.3, Clarify the effectiveness of gas production technology applications in gas wells under different gas production rates, such as... Figure 8 As shown, based on the actual daily gas production of production wells, production wells are divided into high-yield wells, medium-yield wells, and low-yield wells, and the production output is analyzed as the main controlling factor affecting the gas production process effect.

[0153] Alternatively, analysis shows that the comprehensive indicators of gas production technology for low-yield wells are all below 40, indicating that the application of gas production technology to low-yield wells is ineffective.

[0154] The comprehensive indicators of gas production technology for medium-yield wells are all above 20, indicating that there are no wells with poor gas production technology performance among the medium-yield wells.

[0155] The comprehensive indicators of gas production technology for high-yield wells are all above 40.

[0156] S5.4, such as Figure 9 As shown, the effects of gas production technology on gas wells under different technology validity periods are clearly demonstrated.

[0157] Alternatively, analysis shows that gas wells with a long effective period of technology (>50 days) have better gas production technology performance. This indicates that the longer the effective period of technology, the stronger the stability and sustainability of the applied gas production technology, and the greater the cumulative increase in gas production of the gas well, resulting in a better evaluation of the gas production technology performance.

[0158] like Figure 10 As shown, a gas extraction process effect analysis system includes: an evaluation index calculation module, an evaluation method establishment module, an evaluation index weight calculation module, an effect evaluation module, and an analysis module.

[0159] The evaluation index calculation module is used to acquire dynamic gas well production data on a daily basis and to calculate the established gas production process effect evaluation index.

[0160] The evaluation method establishment module adopts the fuzzy evaluation method and combines the gas production process effect evaluation index calculated by the evaluation index calculation module to establish a comprehensive evaluation method for gas production process effect.

[0161] The evaluation index weight calculation module uses fuzzy hierarchical analysis to determine the weights of the gas production process evaluation indexes.

[0162] The effect evaluation module uses a comprehensive evaluation method for gas production process effects and combines the weights of gas production process evaluation indicators to obtain a comprehensive evaluation index for gas production process effects, thereby obtaining the evaluation results of gas production process effects.

[0163] The analysis module uses the gas production process effect evaluation results obtained from the effect evaluation module to analyze the application effect of gas field gas production processes.

[0164] like Figure 11 As shown, based on the above disclosure, the present invention also provides an electronic device. The electronic device of this embodiment includes at least one memory 701, a processor 702, and an evaluator 703;

[0165] Optionally, the memory 701 is used to acquire and store the original formation pressure of the gas well, the dynamic reserves of a single well, the dynamic production data, the gas production process type and application time, and to store the execution instructions related to the gas production process effect evaluation method.

[0166] The processor 702 is used to process dynamic data of gas well production before and after the application of gas production technology, and to execute relevant instructions for the evaluation method of gas production technology effect.

[0167] The evaluator 703 receives the evaluation results (comprehensive evaluation index I of gas production process) of each gas production process obtained by the processor 702, and sets a corresponding threshold for the comprehensive evaluation index I of gas production process.

[0168] Optionally, when the comprehensive evaluation index I of the gas production process is higher than the threshold, it indicates that the gas production process is effective.

[0169] When the comprehensive evaluation index I of the gas extraction process is lower than the threshold, it indicates that the gas extraction process is ineffective, and staff are reminded to change the gas extraction process.

[0170] Based on the same inventive concept, the present invention also provides a storage medium storing instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the method as described above.

[0171] The foregoing description and accompanying drawings fully illustrate embodiments of the invention to enable those skilled in the art to practice them. Other embodiments may include structural and other changes. The embodiments represent only possible variations. Individual components and functions are optional unless explicitly required, and the order of operation may vary. Some portions and features of some embodiments may be included or substituted for portions and features of other embodiments. Embodiments of the invention are not limited to the structures described above and shown in the accompanying drawings, and various modifications and changes may be made without departing from their scope. The scope of the invention is limited only by the appended claims.

Claims

1. A method for analyzing the effectiveness of gas extraction technology, characterized in that, The method includes: Acquire dynamic data on gas well production and calculate evaluation indicators for gas production process effectiveness; Based on the calculated gas production process effectiveness evaluation indicators, and combined with the fuzzy evaluation method, a comprehensive evaluation method for gas production process effectiveness is established. The weights of gas production process evaluation indicators were determined using fuzzy hierarchical analysis. By using a comprehensive evaluation method for gas production technology effectiveness and combining the weights of gas production technology evaluation indicators, a comprehensive evaluation index for gas production technology is obtained. The gas extraction process effectiveness is evaluated and analyzed using the comprehensive evaluation index.

2. The gas extraction process effect analysis method according to claim 1, characterized in that, The evaluation indicators for the effectiveness of gas extraction technology need to take into account the impact of the timeliness of the gas extraction technology. The evaluation indicators for the gas production process include: the proportion of maximum production capacity at the wellhead, the effective period of gas production, the proportion of cumulative gas production increase, and the proportion of cumulative water production increase.

3. The gas extraction process effect analysis method according to claim 1, characterized in that, The gas well production dynamic data, in days, includes: average oil pressure, gas production, water production, cumulative gas production, cumulative water production, formation pressure, single well dynamic reserves, and gas production process information for the corresponding production day.

4. The gas extraction process effect analysis method according to claim 1, characterized in that, The method for comprehensively evaluating the effectiveness of gas extraction technology includes: Five value ranges were defined for the evaluation indicators of gas production process effectiveness, and review levels were set according to different value ranges to form a set of gas production process effectiveness evaluation criteria. Establish a membership matrix for gas extraction process effects; Based on the established gas production process effect membership matrix, the boundaries of gas production process evaluation indicators are delineated to reflect the degree of membership of the evaluation indicators to the evaluation set. The membership degree matrix of the gas extraction process effect is calculated by linear analysis to form the membership degree matrix.

5. The gas extraction process effect analysis method according to claim 1, characterized in that, The determination of the weights for the gas production process evaluation indicators includes: Construct a judgment matrix to represent the importance of pairwise comparisons of each evaluation indicator; The consistency of the constructed judgment matrix is ​​checked to obtain the fuzzy consistency judgment matrix; The analytic hierarchy process (AHP) and row sum normalization method were used to calculate the fuzzy consistency judgment matrix and obtain the weights of the evaluation indicators for each gas production process.

6. The gas extraction process effect analysis method according to claim 5, characterized in that, The construction of the judgment matrix includes: using the nine-scale method to divide the judgment matrix into nine scales; The consistency check includes: when the scale of the judgment matrix is ​​of order 1 or 2, the judgment matrix does not need to be checked for consistency. When the number of scales in the judgment matrix is ​​greater than or equal to 3, the consistency of the judgment matrix needs to be checked by the random consistency ratio. When the random consistency ratio is less than 0.1, it indicates that the judgment matrix is ​​consistent, and a fuzzy consistency judgment matrix is ​​obtained. If the random consistency ratio is greater than 0.1, the judgment matrix needs to be corrected until the random consistency ratio is less than 0.

1.

7. The gas extraction process effect analysis method according to claim 1, characterized in that, The evaluation results include: Using the operator fuzzy synthesis method, the weights and membership matrices of the gas production process effect evaluation indicators are synthesized to obtain the evaluation vector; The gas production process evaluation index is calculated based on the evaluation set and evaluation vector. The gas production process evaluation index is mapped to the defined evaluation index boundaries to obtain the evaluation results.

8. The gas extraction process effect analysis method according to claim 1, characterized in that, The analysis of the gas field production technology effectiveness includes: overall effect analysis of gas field production technology, application analysis of production technology effectiveness in different blocks, relationship analysis of gas well production and comprehensive index, and relationship analysis of technology effectiveness period and comprehensive index.

9. A gas extraction process effect analysis system, characterized in that, It includes: evaluation The module includes an indicator calculation module, an evaluation method establishment module, an evaluation indicator weight calculation module, an effect evaluation module, and an analysis module. The evaluation index calculation module is used to acquire gas well production dynamic data on a daily basis and to calculate the established gas production process effect evaluation index. The evaluation method establishment module adopts the fuzzy evaluation method and combines the gas production process effect evaluation index calculated by the evaluation index calculation module to establish a comprehensive evaluation method for gas production process effect. The evaluation index weight calculation module uses fuzzy hierarchical analysis to determine the weights of the gas production process evaluation indexes. The effect evaluation module uses a comprehensive evaluation method for gas production process effect, and combines the weights of gas production process evaluation indicators to obtain a comprehensive evaluation index for gas production process, and obtains the gas production process effect evaluation result. The analysis module uses the gas production process effect evaluation results obtained from the effect evaluation module to analyze the application effect of gas field gas production processes.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the method described in any one of claims 1-8.

11. An electronic device, characterized in that, The electronic device includes at least one memory, processor, and evaluator; The memory is used to acquire and store the original formation pressure of the gas well, the dynamic reserves of a single well, the dynamic production data, the gas production process type and application time, and to store the execution instructions related to the gas production process effect evaluation method. The processor is used to process dynamic data of gas well production before and after the application of gas production technology, and to execute relevant instructions for gas production technology effect evaluation methods. The evaluator receives the evaluation results of each gas production process from the processor and sets corresponding thresholds for the comprehensive evaluation index of the gas production process.

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