Refracturing well selection and layer selection method, device and equipment and storage medium

Abstract

The invention relates to the technical field of oil and gas resource exploration and development, in particular to a refracturing well and layer selection method, device and equipment and a storage medium. The refracturing well and layer selection method comprises the steps that oil and gas wells in the same oil reservoir area are collected, the average single-section daily output in the same oil reservoir area is calculated, and classification and cluster opening monitoring are conducted on the oil and gas wells; the method comprises the following steps: acquiring fracturing cluster opening rate information in each section of well, then performing fluid production profile monitoring on a middle-productivity well and a low-productivity well subjected to re-fracturing, acquiring an actual productivity contribution rate and an average productivity contribution rate of each section, further determining a non-opened cluster of an oil production dominant section of the middle-productivity well and the low-productivity well, and then performing re-fracturing on the non-opened cluster. According to the method, the dominant sections with high productivity contribution are screened out through cluster opening monitoring, the unopened clusters of the dominant oil production sections are subjected to repeated fracturing through the coiled tubing with the double packers, effective utilization of the large-potential reservoir is achieved, repeated fracturing is not conducted any more for the unopened clusters of the non-dominant oil production sections, and the fracturing cost is saved.

Description

Technical Field

[0001] This invention relates to the field of oil and gas resource exploration and development technology, and is a method, apparatus, equipment and storage medium for repeated fracturing well selection and layer selection. Background Technology

[0002] With the continuous deepening of exploration and development, low-permeability oil and gas reservoirs have become the main force for increasing reserves and production in my country. Ultra-low permeability and tight oil reservoirs are characterized by deep burial, strong heterogeneity, and no natural production capacity. Multi-cluster fracturing of horizontal wells has become the main technology for increasing production in exploration and development. However, due to the strong heterogeneity of the reservoirs and the uneven fracturing initiation between clusters, some reservoirs have been over-stimulated while others have not. Furthermore, low-permeability reservoirs face problems such as rapid decline in single-well production and low block recovery rates after fracturing. Repeat fracturing wells with poor fracturing results is an effective measure to restore production and improve recovery rates. The selection of wells and reservoirs for repeated fracturing is crucial to its success.

[0003] Currently, the main methods for selecting layers in repeated fracturing of horizontal wells are:

[0004] Mathematical methods are used to collect and compare data such as production, recoverable reserves, geostress, permeability, and fracture parameters obtained from fracturing inversion of each well. Through mathematical calculations such as fuzzy mathematics, BP neural network method, and artificial intelligence, repeat fracturing wells are selected. This method requires high data quality, as some parameters cannot be obtained on-site and cannot be accurate enough to screen fracturing segments and clusters.

[0005] The production dynamic method uses the cumulative production of horizontal wells at different times to characterize the reservoir quality and the effect of initial stimulation, but does not consider the influence of crosstalk between wells and clusters.

[0006] The production profile fitting method, such as the Chinese patent document with publication number CN114059981A, discloses a method for selecting layers and fracturing modes in horizontal wells that are repeatedly fractured. It proposes to fit the calculation formula of the production profile of the well to be evaluated based on the main factors affecting production capacity, calculate the production volume of each fractured section, and obtain the potential layer for repeated fracturing by comparing the calculated production volume of each fractured section with the actual monitored production volume. However, due to the complexity of the factors affecting production capacity, the production capacity of each section in the inversion calculation has a large error. At the same time, some horizontal wells do not carry out logging and well logging work in order to reduce costs, and lack the key parameters for production capacity inversion, which makes it difficult to evaluate the potential layer for repeated fracturing.

[0007] However, the existing methods for selecting wells and layers through repeated fracturing have shortcomings in obtaining and accurately evaluating key parameters. Due to poor reservoir permeability, unfractured reservoirs contribute virtually nothing. Therefore, there is an urgent need for a method for selecting wells and layers through repeated fracturing, accurate enough to effectively screen fracturing sections and clusters, and to repeatedly fracture unopened clusters with high expected production capacity to maximize the potential of remaining oil. Summary of the Invention

[0008] This invention provides a method, apparatus, equipment, and storage medium for repeated fracturing well selection and layer selection, which overcomes the shortcomings of the prior art and can effectively solve the problems of insufficient acquisition and accurate evaluation of key parameters in existing repeated fracturing well selection and layer selection methods.

[0009] One of the technical solutions of this invention is achieved through the following measures: a method for repeated fracturing well selection and layer selection, comprising:

[0010] Collect oil and gas wells within the same reservoir area and calculate the average daily production per section within the same reservoir area;

[0011] Oil and gas well productivity is classified according to the average daily production of a single section within the same oil reservoir area. Based on productivity, oil and gas well types include high-productivity wells, medium-productivity wells, and low-productivity wells.

[0012] Cluster opening monitoring was conducted on the classified oil and gas wells to obtain information on the in-well fracturing cluster opening rate of each section.

[0013] Based on the fracturing cluster opening rate information, the production profile of medium- and low-productivity wells that have undergone repeated fracturing is monitored to obtain the actual production contribution rate and average production contribution rate of each segment.

[0014] Based on the actual and average production contribution rates of each segment, the unopened clusters of the oil-producing advantageous segments of medium- and low-production wells are identified, and then repeated fracturing is performed on the unopened clusters.

[0015] The following are further optimizations and / or improvements to one of the above-mentioned technical solutions:

[0016] The calculation of the average daily production per section within the same reservoir area includes:

[0017]

[0018] Among them, Q i The daily production capacity of well i during stable production is given by N (t / d). i q represents the number of fracturing stages in the i-th well, dimensionless; i Let be the average daily production per section of well i, t / d, i = 1, 2, ..., X; The average daily production per segment within the same oil reservoir area is expressed in t / d.

[0019] The above classification of oil and gas well productivity includes:

[0020] High-productivity wells:

[0021] Medium-capacity wells:

[0022] Low-productivity wells: Where, qi Let i be the average daily production per section, in t / d. The average daily production per segment within the same oil reservoir area is expressed in t / d.

[0023] The above-mentioned information on the opening rate of fracturing clusters in each section of the well includes:

[0024] For oil and gas wells with a cluster opening rate of ≤80%, repeated fracturing should be carried out in the later stage;

[0025] Oil and gas wells with a cluster opening rate greater than 80% will no longer undergo repeated fracturing.

[0026] The oil and gas wells that undergo repeated fracturing include high-yield wells, medium-yield wells, and low-yield wells. High-yield wells undergo repeated fracturing are fracturing using coiled tubing with double packers. Medium-yield and low-yield wells undergo production profile monitoring during the well's stable production phase to obtain the actual and average production contribution rates of each segment.

[0027] The above-mentioned acquisition of the actual capacity contribution rate and average capacity contribution rate of each segment includes:

[0028] For medium- and low-productivity wells that have undergone repeated fracturing, production profile monitoring is conducted again during the well's stable production phase to obtain the actual production contribution rate of each segment of the i-th well. The average capacity contribution rate is V. Where j represents the j-th fractured section of the i-th well, j = 1, 2, ..., N i .

[0029] The specific process of identifying unopened clusters in the oil-producing dominant sections of medium- and low-yield wells, and then repeatedly fracturing these unopened clusters, includes:

[0030] In medium-capacity wells, When the j-th segment is the oil-producing dominant segment, if there are unopened clusters in the j-th segment, repeated fracturing is carried out on the unopened clusters using a continuous tubing fracturing string with double packers.

[0031] In low-productivity wells, When the j-th segment is the oil-producing dominant segment, if there are unopened clusters, repeated fracturing is carried out on the unopened clusters using a continuous tubing fracturing string with double packers.

[0032] The second technical solution of the present invention is achieved through the following measures: an apparatus for applying a repeated fracturing well selection and layer selection method, comprising:

[0033] The collection unit collects data from oil and gas wells within the same reservoir area and calculates the average daily production per section within that reservoir area. The calculation of the average daily production per section within the same reservoir area includes:

[0034]

[0035] Among them, Q i The daily production capacity of well i during stable production is given by N (t / d). i q represents the number of fracturing stages in the i-th well, dimensionless; i Let be the average daily production per section of well i, t / d, i = 1, 2, ..., X; The average daily production per section within the same reservoir area, expressed in tons per day (t / d).

[0036] The classification unit categorizes oil and gas well productivity based on the average daily production per segment within the same reservoir area. This classification includes:

[0037] High-productivity wells:

[0038] Medium-capacity wells:

[0039] Low-productivity wells: Where, q i Let i be the average daily production per section, in t / d. The average daily production per section within the same reservoir area, expressed in tons per day (t / d).

[0040] The information acquisition unit monitors the cluster opening of classified oil and gas wells and obtains information on the cluster opening rate of fracturing in each section of the well, including: oil and gas wells with a cluster opening rate ≤ 80% will be subjected to repeated fracturing in the later stage, and oil and gas wells with a cluster opening rate > 80% will not be subjected to repeated fracturing.

[0041] The monitoring unit, based on the fracturing cluster opening rate information, monitors the production profile of repeatedly fracturing medium- and low-productivity wells, obtaining the actual and average production contribution rates of each segment, including:

[0042] For medium- and low-productivity wells that have undergone repeated fracturing, production profile monitoring is conducted again during the well's stable production phase to obtain the actual production contribution rate of each segment of the i-th well. The average capacity contribution rate is V. Where j represents the j-th fractured section of the i-th well, j = 1, 2, ..., N i ;

[0043] The process involves identifying repeat fracturing units, determining unopened clusters in the oil-producing dominant segments of medium- and low-yield wells based on the actual and average production contribution rates of each segment, and then repeating fracturing on these unopened clusters. The specific process includes:

[0044] In medium-capacity wells, When the j-th segment is the oil-producing dominant segment, if there are unopened clusters in the j-th segment, repeated fracturing is carried out on the unopened clusters using a continuous tubing fracturing string with double packers.

[0045] In low-productivity wells, When the j-th segment is the oil-producing dominant segment, if there are unopened clusters, repeated fracturing is carried out on the unopened clusters using a continuous tubing fracturing string with double packers.

[0046] The third technical solution of the present invention is achieved through the following measures: a storage medium storing a computer program that can be read by a computer, the computer program being configured to execute the repeated fracturing well selection and layer selection method when running.

[0047] The fourth technical solution of the present invention is achieved through the following measures: an electronic device, including a processor and a memory, wherein the memory stores a computer program, and the computer program is loaded and executed by the processor to implement the repeated fracturing well selection and layer selection method.

[0048] This invention uses cluster opening monitoring to screen out advantageous sections with high production capacity. For unopened clusters in advantageous oil-producing sections, repeated fracturing is performed using a coiled tubing fracturing string with double packers, thus effectively utilizing reservoirs with high potential. For unopened clusters in non-advantageous oil-producing sections, repeated fracturing is no longer performed, saving fracturing costs. Detailed Implementation

[0049] The present invention is not limited to the following embodiments, and the specific implementation can be determined according to the technical solution of the present invention and the actual situation.

[0050] The present invention will be further described below with reference to embodiments:

[0051] Example 1: This repeated fracturing well and layer selection method includes:

[0052] Collect oil and gas wells within the same reservoir area and calculate the average daily production per section within the same reservoir area;

[0053] Oil and gas well productivity is classified according to the average daily production of a single section within the same oil reservoir area. Based on productivity, oil and gas well types include high-productivity wells, medium-productivity wells, and low-productivity wells.

[0054] Cluster opening monitoring was conducted on the classified oil and gas wells to obtain information on the in-well fracturing cluster opening rate of each section.

[0055] Based on the fracturing cluster opening rate information, the production profile of medium- and low-productivity wells that have undergone repeated fracturing is monitored to obtain the actual production contribution rate and average production contribution rate of each segment.

[0056] Based on the actual and average production contribution rates of each segment, the unopened clusters of the oil-producing advantageous segments of medium- and low-production wells are identified, and then repeated fracturing is performed on the unopened clusters.

[0057] This invention primarily classifies oil and gas wells within reservoirs based on their production capacity. High-yield wells possess advantages in natural conditions such as structural location and sedimentary environment. Similarly, high-yield sections within the same horizontal segment have advantages in terms of physical properties and oil-bearing capacity. During multi-cluster fracturing within a section, due to differences in rock stress between clusters, some clusters with superior geological conditions fail to open. By monitoring cluster opening, unopened clusters are repeatedly fracturing using coiled tubing with double packers. For medium- and low-yield wells, production profile monitoring is further added to obtain information on dominant oil-producing sections. Unopened clusters in dominant oil-producing sections are repeatedly fracturing using coiled tubing with double packers, effectively utilizing reservoirs with high potential. Unopened clusters in non-dominant oil-producing sections are not repeatedly fracturing, saving fracturing costs.

[0058] The following are further optimizations and / or improvements to the above-mentioned technical solution:

[0059] Example 2: As an optimization of the above examples, the calculation of the average daily production per segment within the same reservoir area includes:

[0060]

[0061] Among them, Q i The daily production capacity of well i during stable production is given by N (t / d). i q represents the number of fracturing stages in the i-th well, dimensionless; i Let be the average daily production per section of well i, t / d, i = 1, 2, ..., X; The average daily production per segment within the same oil reservoir area is expressed in t / d.

[0062] Example 3: As an optimization of the above examples, the oil and gas well productivity classification includes:

[0063] High-productivity wells:

[0064] Medium-capacity wells:

[0065] Low-productivity wells: Where, q i Let i be the average daily production per section, in t / d. The average daily production per segment within the same oil reservoir area is expressed in t / d.

[0066] Example 4: As an optimization of the above examples, the in-well fracturing cluster opening rate information for each section includes:

[0067] For oil and gas wells with a cluster opening rate of ≤80%, repeated fracturing should be carried out in the later stage;

[0068] Oil and gas wells with a cluster opening rate greater than 80% will no longer undergo repeated fracturing.

[0069] Example 5: As an optimization of the above examples, the oil and gas wells subjected to repeated fracturing include high-productivity wells, medium-productivity wells, and low-productivity wells subjected to repeated fracturing. Among them, the high-productivity wells subjected to repeated fracturing use coiled tubing with a double packer fracturing string for repeated fracturing. The medium-productivity wells and low-productivity wells subjected to repeated fracturing are monitored for production profiles during the stable production stage of the oil wells to obtain the actual production contribution rate and average production contribution rate of each segment.

[0070] Example 6: As an optimization of the above examples, obtaining the actual capacity contribution rate and average capacity contribution rate of each segment includes:

[0071] For medium- and low-productivity wells that have undergone repeated fracturing, production profile monitoring is conducted again during the well's stable production phase to obtain the actual production contribution rate of each segment of the i-th well. The average capacity contribution rate is V. Where j represents the j-th fractured section of the i-th well, j = 1, 2, ..., N i .

[0072] Example 7: As an optimization of the above examples, the specific process of identifying unopened clusters in the oil-producing dominant sections of medium- and low-yield wells and then repeatedly fracturing these unopened clusters includes:

[0073] In medium-capacity wells, When the j-th segment is the oil-producing dominant segment, if there are unopened clusters in the j-th segment, repeated fracturing is carried out on the unopened clusters using a continuous tubing fracturing string with double packers.

[0074] In low-productivity wells, When the j-th segment is the oil-producing dominant segment, if there are unopened clusters, repeated fracturing is carried out on the unopened clusters using a continuous tubing fracturing string with double packers.

[0075] Example 8: This repeated fracturing well and layer selection method includes:

[0076] The first step involved collecting data from 10 horizontal sandstone wells in a certain area of ​​the Xinjiang Oilfield (details are shown in Table 1) and calculating the average daily production per well segment. It is 2.83 t / d;

[0077] The second step, according to The production capacity of well X is classified as follows: wells 1 and 6 are high-production wells, wells 2, 3, 7 and 8 are medium-production wells, and wells 4, 5, 9 and 10 are low-production wells (the specific categories are shown in Table 2).

[0078] The third step involves monitoring the fracturing cluster opening in 10 horizontal wells in the sandstone and conglomerate area to obtain information on the fracturing cluster opening rate in each section (specific statistics are shown in Table 3). Wells No. 1, 3, 8, and 10 will not be subjected to repeated fracturing, while the other wells will be subjected to repeated fracturing later.

[0079] The fourth step involves repeatedly fracturing high-yield well No. 6, where the unopened clusters are targeted, using a coiled tubing fracturing string with double packers for repeated fracturing. For medium and low-yield wells (2, 4, 5, 7, and 9) that are repeatedly fracturing, production profile monitoring is conducted again during the well's stable production phase. Taking well No. 2 as an example: well No. 2 has a total of 10 fracturing segments, and the actual production contribution rate of each segment in well No. 2 is shown in the table below, with an average production contribution rate of 10% (the specific results are shown in Table 4).

[0080] The fifth step involves monitoring cluster opening and the production results of each segment. Segments with a production rate of 8% or higher are considered oil-producing dominant segments. Among the oil-producing dominant segments, segments 2, 4, and 8 contain unopened clusters. For the unopened clusters in segments 2, 4, and 8 of well No. 2, repeated fracturing is performed using a continuous tubing fracturing string with a double packer.

[0081] As can be seen, the repeated fracturing well and layer selection method of this invention has been applied and verified in multiple blocks such as Xinjiang Oilfield, Southwest Shale Gas, and Qinghai, with significant production improvement effects.

[0082] Example 9: The repeatable fracturing well selection and formation selection device using the described method includes:

[0083] The collection unit collects data from oil and gas wells within the same reservoir area and calculates the average daily production per section within that reservoir area. The calculation of the average daily production per section within the same reservoir area includes:

[0084]

[0085] Among them, Q i The daily production capacity of well i during stable production is given by N (t / d). i q represents the number of fracturing stages in the i-th well, dimensionless; i Let be the average daily production per section of well i, t / d, i = 1, 2, ..., X; The average daily production per section within the same reservoir area, expressed in tons per day (t / d).

[0086] The classification unit categorizes oil and gas well productivity based on the average daily production per segment within the same reservoir area. This classification includes:

[0087] High-productivity wells:

[0088] Medium-capacity wells:

[0089] Low-productivity wells: Where, q iLet i be the average daily production per section, in t / d. The average daily production per section within the same reservoir area, expressed in tons per day (t / d).

[0090] The information acquisition unit monitors the cluster opening of classified oil and gas wells and obtains information on the cluster opening rate of fracturing in each section of the well, including: oil and gas wells with a cluster opening rate ≤ 80% will be subjected to repeated fracturing in the later stage, and oil and gas wells with a cluster opening rate > 80% will not be subjected to repeated fracturing.

[0091] The monitoring unit, based on the fracturing cluster opening rate information, monitors the production profile of repeatedly fracturing medium- and low-productivity wells, obtaining the actual and average production contribution rates of each segment, including:

[0092] For medium- and low-productivity wells that have undergone repeated fracturing, production profile monitoring is conducted again during the well's stable production phase to obtain the actual production contribution rate of each segment of the i-th well. The average capacity contribution rate is V. Where j represents the j-th fractured section of the i-th well, j = 1, 2, ..., N i ;

[0093] The process involves identifying repeat fracturing units, determining unopened clusters in the oil-producing dominant segments of medium- and low-yield wells based on the actual and average production contribution rates of each segment, and then repeating fracturing on these unopened clusters. The specific process includes:

[0094] In medium-capacity wells, When the j-th segment is the oil-producing dominant segment, if there are unopened clusters in the j-th segment, repeated fracturing is carried out on the unopened clusters using a continuous tubing fracturing string with double packers.

[0095] In low-productivity wells, When the j-th segment is the oil-producing dominant segment, if there are unopened clusters, repeated fracturing is carried out on the unopened clusters using a continuous tubing fracturing string with double packers.

[0096] Example 10: The storage medium stores a computer program that can be read by a computer, and the computer program is configured to execute a repeated fracturing well selection and layer selection method when running.

[0097] The aforementioned storage media may include, but are not limited to, USB flash drives, read-only memory, portable hard drives, magnetic disks, optical disks, and other media capable of storing computer programs.

[0098] Example 11: This embodiment of the invention discloses an electronic device, including a processor and a memory, wherein the memory stores a computer program, which is loaded and executed by the processor to implement a repeated fracturing well selection and layer selection method.

[0099] The aforementioned processor can be a central processing unit (CPU), a general-purpose processor, a digital signal processor (DSP), a SiC (Silicon Integrated Circuit) for repeated fracturing and layer selection, an FPG (Fracturing Processing Plant) for repeated fracturing and layer selection, or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. It can also be a combination that implements computational functions, such as including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc. The memory can include, but is not limited to, various media capable of storing computer programs, such as USB flash drives, read-only memory, portable hard drives, magnetic disks, or optical disks.

[0100] Those skilled in the art will understand that the embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of this application can be implemented using various computer languages, such as the object-oriented programming language J (repeated fracturing well selection and layer selection) and the interpreted scripting language Script (repeated fracturing well selection and layer selection).

[0101] This application is described with reference to the flow of methods, apparatus (systems), and computer program products according to embodiments of this application. It should be understood that each step in the flow and combinations of steps in the flow can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing functions specified in one or more steps.

[0102] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means that implement the function specified in one or more processes.

[0103] In summary, this invention uses cluster activation monitoring to screen out high-potential production clusters. For unactivated clusters in high-potential oil-producing clusters, repeated fracturing is performed using a coiled tubing fracturing string with double packers, thus effectively utilizing reservoirs with high potential. For unactivated clusters in non-high-potential oil-producing clusters, repeated fracturing is not performed, saving fracturing costs.

[0104] The above technical features constitute the preferred embodiment of the present invention, which has strong adaptability and optimal implementation effect. Unnecessary technical features can be added or removed according to actual needs to meet the requirements of different situations.

[0105] Table 1

[0106]

[0107] Table 2

[0108] category <![CDATA[q i Scope High-yield wells <![CDATA[q i ≥3.7]]> Medium-capacity wells <![CDATA[3.7>q i ≥2.3]]> low productivity wells qi<2.3

[0109] Table 3

[0110]

[0111] Table 4

[0112] Duan J Actual capacity contribution rate of each segment (%) Oil-producing prime section Cluster not enabled 1 15 √ 2 8 √ have 3 6 4 18 √ have 5 5 6 3 7 7 8 14 √ have 9 7 10 17 √

Claims

1. A method for selecting wells and layers through repeated fracturing, characterized in that, include: Collect oil and gas wells within the same reservoir area and calculate the average daily production per section within the same reservoir area; Oil and gas well productivity is classified according to the average daily production of a single section within the same oil reservoir area. Based on productivity, oil and gas well types include high-productivity wells, medium-productivity wells, and low-productivity wells. Cluster opening monitoring was conducted on the classified oil and gas wells to obtain information on the in-well fracturing cluster opening rate of each section. Based on the fracturing cluster opening rate information, the production profile of medium- and low-productivity wells that have undergone repeated fracturing is monitored to obtain the actual production contribution rate and average production contribution rate of each segment. Based on the actual and average production contribution rates of each segment, the unopened clusters of the oil-producing advantageous segments of medium- and low-production wells are identified, and then repeated fracturing is performed on the unopened clusters.

2. The method for selecting wells and layers through repeated fracturing according to claim 1, characterized in that, The calculation of the average daily production per section within the same reservoir area includes: Among them, Q i The daily production capacity of well i during stable production is given by N (t / d). i q represents the number of fracturing stages in the i-th well, dimensionless; i Let be the average daily production per section of well i, t / d, i = 1, 2, ..., X; The average daily production per segment within the same oil reservoir area is expressed in t / d.

3. The method for selecting wells and layers through repeated fracturing according to claim 2, characterized in that, The classification of oil and gas well productivity includes: High-productivity wells: Medium-capacity wells: Low-productivity wells: Where, q i Let i be the average daily output per section, in t / d. The average daily production per segment within the same oil reservoir area is expressed in t / d.

4. The method for repeated fracturing well selection and layer selection according to claim 1, 2, or 3, characterized in that, Information on the opening rate of fracturing clusters in each section of the well includes: For oil and gas wells with a cluster opening rate of ≤80%, repeated fracturing should be carried out in the later stage; Oil and gas wells with a cluster opening rate greater than 80% will no longer undergo repeated fracturing.

5. The method for repeated fracturing well selection and layer selection according to claim 4, characterized in that, Oil and gas wells that undergo repeated fracturing include high-productivity wells, medium-productivity wells, and low-productivity wells. High-productivity wells undergo repeated fracturing are fracturing using coiled tubing with double packers. Medium-productivity and low-productivity wells undergo repeated fracturing, and production profile monitoring is conducted during the well's stable production phase to obtain the actual and average production contribution rates of each segment.

6. The method for repeated fracturing well selection and layer selection according to any one of claims 1 to 5, characterized in that, Obtaining the actual capacity contribution rate and average capacity contribution rate for each segment includes: For medium- and low-productivity wells that have undergone repeated fracturing, production profile monitoring is conducted again during the well's stable production phase to obtain the actual production contribution rate of each segment of the i-th well. The average capacity contribution rate is V. Where j represents the j-th fractured section of the i-th well, j = 1, 2, ..., N i .

7. The method for repeated fracturing well selection and layer selection according to claim 6, characterized in that, The specific process of identifying undeveloped clusters in the oil-producing dominant sections of medium- and low-yield wells, and then repeatedly fracturing these undeveloped clusters, includes: In medium-capacity wells, When the j-th segment is the oil-producing dominant segment, if there are unopened clusters in the j-th segment, repeated fracturing is carried out on the unopened clusters using a continuous tubing fracturing string with double packers. In low-productivity wells, When the j-th segment is the oil-producing dominant segment, if there are unopened clusters, repeated fracturing is carried out on the unopened clusters using a continuous tubing fracturing string with double packers.

8. A repeatable fracturing well selection and formation selection device applying the method described in any one of claims 1 to 7, characterized in that, include: The collection unit collects data from oil and gas wells within the same reservoir area and calculates the average daily production per section within that reservoir area. The calculation of the average daily production per section within the same reservoir area includes: Among them, Q i The daily production capacity of well i during stable production is given by N (t / d). i q represents the number of fracturing stages in the i-th well, dimensionless; i Let be the average daily production per section of well i, t / d, i = 1, 2, ..., X; The average daily production per section within the same reservoir area, expressed in tons per day (t / d). The classification unit categorizes oil and gas well productivity based on the average daily production per segment within the same reservoir area. This classification includes: High-productivity wells: Medium-capacity wells: Low-productivity wells: Where, q i Let i be the average daily output per section, in t / d. The average daily production per section within the same reservoir area, expressed in tons per day (t / d). The information acquisition unit monitors the cluster opening of classified oil and gas wells and obtains information on the cluster opening rate of fracturing in each section of the well, including: oil and gas wells with a cluster opening rate ≤ 80% will be subjected to repeated fracturing in the later stage, and oil and gas wells with a cluster opening rate > 80% will not be subjected to repeated fracturing. The monitoring unit, based on the fracturing cluster opening rate information, monitors the production profile of repeatedly fracturing medium- and low-productivity wells, obtaining the actual and average production contribution rates of each segment, including: For medium- and low-productivity wells that have undergone repeated fracturing, production profile monitoring is conducted again during the well's stable production phase to obtain the actual production contribution rate of each segment of the i-th well. The average capacity contribution rate is V. Where j represents the j-th fractured section of the i-th well, j = 1, 2, ..., N i ; The process involves identifying repeat fracturing units, determining unopened clusters in the oil-producing dominant segments of medium- and low-yield wells based on the actual and average production contribution rates of each segment, and then repeating fracturing on these unopened clusters. The specific process includes: In medium-capacity wells, When the j-th segment is the oil-producing dominant segment, if there are unopened clusters in the j-th segment, repeated fracturing is carried out on the unopened clusters using a continuous tubing fracturing string with double packers. In low-productivity wells, When the j-th segment is the oil-producing dominant segment, if there are unopened clusters, repeated fracturing is carried out on the unopened clusters using a continuous tubing fracturing string with double packers.

9. A storage medium, characterized in that, The storage medium stores a computer program that can be read by a computer, and the computer program is configured to execute the repeated fracturing well selection and layer selection method as described in any one of claims 1 to 8 when it is run.

10. An electronic device, characterized in that, It includes a processor and a memory, wherein the memory stores a computer program, which is loaded and executed by the processor to implement the repeated fracturing well selection and layer selection method as described in any one of claims 1 to 7.

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