Method, device and equipment for identifying coal bed gas concealed abnormal well

Abstract

The invention discloses a coal-bed gas concealed abnormal well identification method, device and equipment. The method comprises the following steps: grouping coal-bed gas wells in a research block based on block characteristics, production and construction project batches to which gas wells belong, gas well types, gas well development horizon and ground gathering and transportation systems to which the gas wells belong; determining declining rates of the plurality of single wells in the same group in a preset time period; determining the well group declining rate of the well group based on the accumulated gas production rate of the well groups in the same group; and identifying the single well of which the single well declining rate is higher than the preset range of the well group declining rate for continuous preset times as a hidden abnormal well. According to the method, the coal bed gas hidden abnormal well can be semi-quantitatively and rapidly recognized, the recognition efficiency and accuracy of the coal bed gas hidden abnormal well are improved, and a guidance basis is provided for fine management of the coal bed gas well and rapid treatment of the hidden abnormal well in the coal bed gas production process.

Description

Technical Field

[0001] The invention relates to the technical field of coalbed methane well production management, and in particular to a method, device and equipment for identifying concealed abnormal coalbed methane wells. Background Art

[0002] Compared with traditional oil and gas field development, coalbed methane has the characteristics of a large number of development wells, great management difficulty, and high labor costs. In addition, affected by the physical properties of coal seam reservoirs and the characteristics of coalbed methane itself, gas wells are divided into normal production wells, abnormal production wells, and hidden abnormal wells between the two during gas well exploitation. For common abnormal production wells, their production changes are large and easy to identify in production management. The production status of gas wells can be restored in a timely and effective manner through rapid identification and operational measures. However, for hidden abnormal wells between the normal production status and abnormal production status of coalbed methane wells, due to their small decline rate changes and small production changes, the production decline is not obvious and is not easy to be detected during the production process. The existence of hidden abnormal wells will have an adverse effect on the subsequent drainage of gas wells and affect the final recovery rate of gas wells. Therefore, it is an important content of the later production management of coalbed methane wells to quickly identify hidden abnormal wells of coalbed methane wells, take timely and targeted measures to restore the production status of gas wells, and reduce the impact of abnormal production of gas wells on gas well production and operation.

[0003] There are different ways to identify hidden abnormal wells in the existing technology. For example, Wang Lin et al. published a paper titled "Abnormal Identification Technology of Coalbed Methane Wells Based on Production System" in "Coalfield Geology and Exploration" in 2017. By analyzing the correspondence between the four parameters of pressure, production, flushing times, and flow pressure and the production status of gas wells, 12 common production rules of coalbed methane wells were constructed, realizing the effective identification of common abnormal types of coalbed methane wells. Zhu Fanglin et al. published a paper titled "Study on Abnormal Manifestations and Treatment Countermeasures of Coalbed Methane Well Production Management" in "China Coalbed Methane" in 2019, proposing a method for locating abnormal coalbed methane wells and formulating measures based on the analysis of historical production data of single gas wells, comprehensive production curves, and gas production dynamic data. In 2020, Jia Huimin et al. published a paper titled "Types and Governance Technologies of Abnormal Wells of High-rank Coalbed Methane" in "Coal Safety". Based on the statistics of the changes in key parameters of more than 1,000 abnormal coalbed methane wells in the southern part of the Qinshui Basin before the abnormality, a static indicator system for identifying abnormal wells of high-rank coalbed methane was established. The patent "Method and device for identifying the hidden abnormal production status of coalbed methane wells" with application number 202110742823.1 discloses a method for identifying the hidden abnormal stage of a coalbed methane well based on the changes in multiple production indicator parameters of a single well. Summary of the invention

[0004] In order to enrich the process routes and increase the selection space, the embodiments of the present invention provide a method, device and equipment for identifying hidden abnormal coalbed methane wells.

[0005] In a first aspect, an embodiment of the present invention provides a method for identifying a hidden abnormal coalbed methane well, which may include:

[0006] The coalbed methane wells in the research block are grouped based on the block characteristics, the batch of production and construction projects to which the gas wells belong, the gas well type, the gas well development layer, and the surface gathering and transportation system to which the gas wells belong.

[0007] respectively determining the decline rates of a plurality of single wells in the same group within a preset time period;

[0008] Determine the well group decline rate of the well group based on the cumulative gas production of the well groups in the same group;

[0009] A single well whose decline rate is higher than the preset range of the decline rate of the well group for a consecutive preset number of times is identified as a hidden abnormal well.

[0010] Optionally, after identifying the hidden abnormal wells in the single well, the method may further include: verifying the hidden abnormal wells based on the drainage curve of the single well to determine the hidden abnormal wells in the research block.

[0011] Optionally, the method may further include:

[0012] If the time span of the gas well production time in the same production and construction project batch is greater than the preset time span threshold, the coalbed methane wells in the study block are grouped based on the block characteristics, the gas well production time, the gas well type, the gas well development layer and the ground gathering and transportation system to which the gas well belongs.

[0013] Optionally, the decline rate is a monthly decline rate, an annual decline rate, or a decline rate for a preset time period;

[0014] The preset number of times and the preset range are determined based on the empirical value of identifying hidden abnormal wells in the research block.

[0015] In a second aspect, an embodiment of the present invention provides a method for treating hidden abnormal wells of coalbed methane, which method may include: treating the hidden abnormal wells identified in the study block;

[0016] Wherein, the hidden abnormal well is identified based on the method for identifying hidden abnormal coalbed methane wells as described in the first aspect.

[0017] In a third aspect, an embodiment of the present invention provides a device for identifying a hidden abnormal coalbed methane well, which may include:

[0018] The grouping module is used to group the coalbed methane wells in the study block based on the block characteristics, the production and construction project batch to which the gas well belongs, the gas well type, the gas well development layer, and the ground gathering and transportation system to which the gas well belongs;

[0019] A single well decline rate determination module is used to respectively determine the decline rates of multiple single wells in the same group within a preset time period;

[0020] A well group decline rate determination module, used to determine the well group decline rate of the well group based on the cumulative gas production of the well groups in the same group;

[0021] The identification module is used to identify a single well whose decline rate exceeds the preset range of the well group decline rate for a consecutive preset number of times as a hidden abnormal well.

[0022] Optionally, the device may further include: a verification module, which is used to verify the hidden abnormal well based on the drainage curve of the single well to determine the hidden abnormal well in the research block.

[0023] Optionally, the device may also include: a judgment module, which is used to judge whether the time span of the gas well production time in the same production and construction project batch is greater than a preset time span threshold; if so, the grouping module is used to group the coalbed methane wells in the study block based on the block characteristics, the gas well production time, the gas well type, the gas well development layer and the ground gathering and transportation system to which the gas well belongs.

[0024] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for identifying concealed abnormal coalbed methane wells as described in the first aspect.

[0025] In a fifth aspect, an embodiment of the present invention provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method for identifying hidden abnormal coalbed methane wells as described in the first aspect is implemented.

[0026] The beneficial effects of the above technical solution provided by the embodiment of the present invention include at least:

[0027] The embodiment of the present invention provides a method, device and equipment for identifying hidden abnormal coalbed methane wells. The method compares and analyzes the decline rate of a single well in a certain period of time in a research block in batches with the decline rate of the well group to which it belongs, so as to quickly identify hidden abnormal coalbed methane wells. In the identification process, the development characteristics of the block, the production years of the gas wells, the decline law, the seasonal periodic changes in the gas production characteristics, and the influence of human factors on the abnormal production of the gas wells are fully considered, and the hidden abnormal coalbed methane wells can be semi-quantitatively and quickly identified, which improves the efficiency and accuracy of identifying hidden abnormal coalbed methane wells, and provides a guiding basis for the refined management of coalbed methane wells and the rapid treatment of hidden abnormal wells during the coalbed methane production process.

[0028] Other features and advantages of the present invention will be described in the following description, and part of them will become obvious from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0029] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0031] Figure 1 A flow chart of a method for identifying hidden abnormal coalbed methane wells provided in an embodiment of the present invention;

[0032] Figure 2 A flowchart of a detailed method for identifying hidden abnormal coalbed methane wells provided in an embodiment of the present invention;

[0033] Figure 3 A schematic diagram of the well group division in the example provided in the embodiment of the present invention;

[0034] Figure 4 The A15-1 well production curve provided in the embodiment of the present invention;

[0035] Figure 5 A29-2 well production curve provided in an embodiment of the present invention;

[0036] Figure 6 The production curve of the C24-2 well provided in the embodiment of the present invention;

[0037] Figure 7 The C32-4 well production curve provided in the embodiment of the present invention;

[0038] Figure 8 It is a schematic diagram of the structure of a device for identifying concealed abnormal coalbed methane wells provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0039] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0040] The inventors found that the common methods for identifying hidden abnormal coalbed methane wells are mostly based on the dynamic and static indicators of single well production to identify abnormal wells. Common identification methods do not take into account the development characteristics of the block, the production years of the gas well, the decline law, and the seasonal periodic changes of gas production characteristics. Different blocks are affected by differences in gas reservoir characteristics, and the single well production rules may be different. Blocks with good gas reservoir conditions may have a fast production increase speed, a long stable production time, a slow gas well production decline, a slow decline, and a decline rate that conforms to hyperbolic decline or exponential decline. Blocks with poor gas reservoir conditions may have a short stable production time, a fast production decline, a large decline rate, and a linear decline; the gas well decline rate shows a staged change with the change of drainage time. Generally speaking, the coalbed methane wells that have just entered the decline period have a larger decline rate, and the annual decline rate is mainly distributed between 20% and 40%. With the increase of drainage time, the decline rate will decrease and is distributed between 8% and 15%; affected by seasonal temperature changes, the temperature is low in winter, and the gas pipeline is seriously filled with liquid, which affects the gas transmission efficiency, resulting in the inability to discharge the gas produced by some gas wells smoothly, thereby causing the seasonal increase in the decline rate. The influence of the above factors increases the difficulty of formulating indicators for identifying hidden abnormal wells. In addition, due to the strong heterogeneity of coalbed methane, previous identification work was mostly done manually by judging the production curves and parameters of each well to identify hidden abnormal wells. The level of personal professional and technical skills directly affects the quality of abnormal well identification, and the identification efficiency is also relatively low.

[0041] In view of the above technical problems, an embodiment of the present invention proposes a method for identifying coalbed methane concealed abnormal wells that overcomes the above problems or at least partially solves the above problems. Figure 1 As shown, the method may include the following steps:

[0042] Step S11, grouping the coalbed methane wells in the research block based on block characteristics, the batch of production and construction projects to which the gas wells belong, the gas well type, the gas well development layer, and the ground gathering and transportation system to which the gas wells belong.

[0043] The above-mentioned block characteristics in the embodiment of the present invention are mainly divided based on geological physical characteristics and natural basic characteristics. The same research block can be divided into several development units, and there are significant differences in gas reservoir characteristics between different development units. The production and construction projects in this embodiment are based on the construction batches of coalbed methane wells. Their construction time is different, and the time when the gas wells are put into production is also different. For example, a production and construction project includes a large number of gas wells. The gas wells put into production within a certain period of time can be divided into a group, which can eliminate the influence of the production time factor. The types of coalbed methane gas wells in the embodiment of the present invention include but are not limited to: vertical wells, cluster wells, horizontal wells and U-shaped wells. The types of gas wells are inconsistent, and the subsequent steps are also inconsistent when comparing and screening. The above-mentioned gas wells in this embodiment have different development strata, and the changes in gas production and decline rate during gas well exploitation will also vary greatly. The ground gathering and transportation system has a control effect on the operating state of the gas well. The pressure between different ground gathering and transportation systems is different, which will also bring changes to the gas well production.

[0044] This step groups the coalbed methane wells in the study block based on the above-mentioned factors, that is, the coalbed methane wells in the same study block are divided into several well groups. The block characteristics of the single wells in each well group, the production and construction project batch to which the gas wells belong, the gas well type, the gas well development layer and the ground gathering and transportation system are the same or similar. This can eliminate the differences between wells caused by different gas reservoir characteristics, inconsistent gas well commissioning time, different gas well types, different gas well development layers, and different operating conditions of the ground gathering and transportation system, seasonal temperature changes during operation, etc., laying the foundation for the comparability of the comparison of the decline rates of single wells and well groups in subsequent steps.

[0045] Step S12, respectively determine the decline rates of multiple single wells in the same group within a preset time period. This step is to obtain the decline rates of different single wells within a certain period of time. The decline rates commonly used in coalbed methane production management are monthly decline rates, annual decline rates or preset time period decline rates. Among them, the monthly decline rate = (cumulative gas production last month - cumulative gas production this month) / cumulative gas production last month × 100%, annual decline rate = (cumulative gas production last year - cumulative gas production this year) / cumulative gas production last year × 100%. In actual applications, the time span can be customized according to production management needs to calculate the decline rate, and the embodiment of the present invention does not make specific limitations on this.

[0046] Step S13: determining the well group decline rate of the well group based on the cumulative gas production of the well groups in the same group.

[0047] This step is performed after the above step S12 obtains the decline rate of each single well in the same group, and can also be performed before step S12, or simultaneously with the above step S12. The embodiment of the present invention does not make any specific limitation to this.

[0048] In this step, the gas production of the single wells in the same well group is accumulated to obtain the cumulative gas production of the well group, and the cumulative gas production of the well group is substituted into the decline rate formula to determine the well group decline rate of the well group.

[0049] Step S14: Identify a single well whose decline rate exceeds the preset range of the well group decline rate for a preset number of consecutive times as a hidden abnormal well.

[0050] The preset number of times and preset range in this step are determined based on the empirical values ​​of the identification of hidden abnormal wells in the study block. In the specific implementation, during the initial screening and identification of hidden abnormal wells, the inventors regard single wells whose decline rates for multiple consecutive times (for example, 2 to 3 times) are higher than a certain threshold value (for example, 1% to 2%) of the decline rate of the well group as hidden abnormal wells. The formulation of the above thresholds in the screening process is determined through multiple value-taking tests, and the value-taking requirements can ensure that hidden abnormal wells can be accurately identified. It should be noted that the maximum value should not be too large. If the maximum value is too large, a large number of wells with a significant increase in gas volume and a significant increase in decline rate due to failures and well shutdown operations will be identified as hidden abnormal wells. These wells are abnormal wells themselves, not hidden abnormal wells, which will increase the workload for subsequent verification.

[0051] The above-mentioned coalbed methane hidden abnormal well identification method provided by the embodiment of the present invention compares and analyzes the decline rate of a single well in the research block within a certain period of time with the decline rate of the well group to which it belongs in batches, so as to quickly identify the coalbed methane hidden abnormal wells. In the identification process, the development characteristics of the block, the production years of the gas wells, the decline law, the seasonal periodic changes in the gas production characteristics, and the influence of human factors on the abnormal production of the gas wells are fully considered, and the coalbed methane hidden abnormal wells can be semi-quantitatively and quickly identified, which improves the efficiency and accuracy of the identification of coalbed methane hidden abnormal wells, and provides a guiding basis for the refined management of coalbed methane wells and the rapid treatment of hidden abnormal wells during the coalbed methane production process.

[0052] In a detailed embodiment, referring to Figure 2 As shown, the method for identifying hidden abnormal coalbed methane wells may include the following steps:

[0053] Step S20: determine whether the time span of the gas wells put into production in the same production and construction project batch is greater than the preset time span threshold; if not, execute step S21, otherwise execute step S22. The time span threshold of this step can be 1 year or 5 months, which can be set based on the actual development situation of the research block.

[0054] Step S21, group the coalbed methane wells in the research block based on block characteristics, production and construction project batches to which the gas wells belong, gas well types, gas well development layers, and ground gathering and transportation systems to which the gas wells belong. This step is similar to the above step S11 and will not be repeated here.

[0055] In the embodiment of the present invention, some drainage wells in a certain research block are used as an example for explanation. A total of 378 old wells are selected for analysis, and 20 wells are taken as examples for key analysis. Figure 3 As shown in the figure, the 378 production wells are specifically divided into two production and construction project groups. According to the characteristics of the surface gathering and transportation system (gas gathering station), production and construction project 1 includes a total of 339 coalbed methane production wells, which are divided into 7 well groups, and production and construction project 2 includes a total of 39 coalbed methane production wells, which are 1 well group.

[0056] Step S22, grouping the coalbed methane wells in the research block based on block characteristics, gas well commissioning time, gas well type, gas well development layer, and the ground gathering and transportation system to which the gas well belongs. This step is based on the gas well commissioning time, and the gas wells in the same mining period are divided more carefully and accurately, and the grouping is more accurate.

[0057] Step S23, respectively determine the decline rates of multiple single wells in the same group within a preset time period. This step refers to the above step S12 and is not repeated here. Refer to the following Table 1 to show the monthly decline rates of single wells in different groups within a preset time period.

[0058] Table 1 Decline rates of multiple wells in different groups within a preset time period

[0059]

[0060]

[0061] Step S24, determine the well group decline rate of the well group based on the cumulative gas production of the well group in the same group. This step refers to the above step S13 and will not be repeated here. Referring to Table 2, the decline rate result table for different well groups is as follows:

[0062] Table 2 Results of decline rates of different well groups

[0063] well group January February March April May June July August September October November December Production and construction project 1 -1.90％ -10.31％ 9.41％ -2.95％ 4.90％ -4.73％ 2.08％ -2.37％ -6.17％ 3.84％ -0.36％ -0.39％ Well Group 1 2.93％ 7.28％ -8.62％ 4.31％ -2.32％ 4.40％ -3.62％ 1.57％ 5.99％ -3.98％ -0.41％ -2.61％ Well Group 2 1.48％ 13.13％ 16.29％ 19.22％ -7.40％ 16.00％ 2.45％ 5.14％ 29.97％ -4.37％ -22.06％ -3.37％ Well Group 3 2.70％ 11.59％ -9.04％ 1.31％ -5.20％ 4.09％ -2.66％ 2.02％ 4.80％ -1.57％ 4.43％ 1.70％ Well Group 4 3.93％ 8.18％ -9.20％ -1.15％ -5.93％ 10.20％ -6.33％ 3.63％ 5.43％ -5.02％ -1.45％ 1.15％ Well Group 5 2.70％ 9.36％ -12.82％ 4.95％ -3.30％ 0.28％ -3.81％ 7.28％ 6.07％ -5.10％ 0.41％ 0.49％ Well Group 6 -7.60％ 27.12％ -29.50％ -9.92％ -0.41％ 2.28％ 49.85％ -56.92％ -10.23％ 4.46％ 4.33％ 9.01％ Well Group 7 -1.87％ 10.36％ -7.91％ 4.72％ -8.15％ 6.00％ -3.25％ -1.48％ 8.79％ -5.25％ -1.93％ -1.50％ Production and construction project 2 -0.24％ 12.94％ -6.39％ 7.48％ 5.89％ 8.57％ -6.23％ 4.98％ 7.93％ -5.98％ 1.86％ 5.29％ Well group 8 -0.24％ 12.94％ -6.39％ 7.48％ 5.89％ 8.57％ -6.23％ 4.98％ 7.93％ -5.98％ 1.86％ 5.29％

[0064] Step S25, identify a single well whose decline rate is higher than the preset range of the well group decline rate for a preset number of consecutive times as a hidden abnormal well. This step refers to the above step S14 and will not be repeated here. Referring to Table 3, after the difference between the decline rate of a single well and the decline rate of the well group is taken, the single well is initially identified to be higher than a certain preset range threshold (1% to 5%). In the embodiment of the present invention, the gas wells with abnormal decline rates of more than 3 months (including 3 months) are regarded as hidden abnormal wells. The specific identification results are shown in Table 3 (the shaded part in the table) as follows:

[0065] Table 3 Preliminary screening and identification results of hidden abnormal wells

[0066]

[0067]

[0068] Referring to the above Table 3, Well A15-1, Well A29-2, Well C24-2 and Well C32-4 were preliminarily screened out as concealed abnormal wells.

[0069] Step S26: verify the hidden abnormal wells based on the drainage curve of the single well to determine the hidden abnormal wells in the study block.

[0070] Reference Figures 4 to 7 As shown in the figure, the production curves of the four wells A15-1, A29-2, C24-2 and C32-4 were analyzed. It was found that A15-1 had just entered the decline period, and the increase in decline was normal. The A32-4 well was affected by the large fluctuations in production due to operations, and the increase in the decline rate in the short term was normal. The decline of A29-2 and C24-2 wells increased, and the gas volume decreased slightly abnormally, which were hidden abnormal wells. Finally, A29-2 and C24-2 were determined to be hidden abnormal wells, and treatment was recommended.

[0071] Based on the same inventive concept, a device for identifying a hidden abnormal coalbed methane well is also provided in the embodiment of the present invention. Figure 8 As shown, the device may include:

[0072] The grouping module 11 is used to group the coalbed methane wells in the research block based on the block characteristics, the production and construction project batch to which the gas well belongs, the gas well type, the gas well development layer, and the ground gathering and transportation system to which the gas well belongs;

[0073] The single well decline rate determination module 12 is used to respectively determine the decline rates of multiple single wells in the same group within a preset time period;

[0074] The well group decline rate determination module 13 is used to determine the well group decline rate of the well group based on the cumulative gas production of the well groups in the same group;

[0075] The identification module 14 is used to identify a single well whose decline rate exceeds a preset range of the well group decline rate for a consecutive preset number of times as a hidden abnormal well.

[0076] In an alternative embodiment, referring to Figure 8 As shown, the device may further include: a verification module 15, which is used to verify the hidden abnormal wells based on the drainage curve of the single well to determine the hidden abnormal wells in the research block.

[0077] In an alternative embodiment, referring to Figure 8As shown, the device may also include: a judgment module 10, which is used to judge whether the time span of the gas well production time in the same production and construction project batch is greater than a preset time span threshold; if so, a grouping module 11 is used to group the coalbed methane wells in the study block based on block characteristics, gas well production time, gas well type, gas well development layer and the ground gathering and transportation system to which the gas well belongs.

[0078] Based on the same inventive concept, an embodiment of the present invention further provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the above-mentioned method for identifying hidden abnormal coalbed methane wells is implemented.

[0079] Based on the same inventive concept, a computer device is also provided in an embodiment of the present invention, including a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the program, the above-mentioned method for identifying hidden abnormal coalbed methane wells is implemented.

[0080] Based on the same inventive concept, an embodiment of the present invention also provides a method for controlling hidden abnormal coalbed methane wells, which may include: controlling hidden abnormal wells identified in the study block; wherein the hidden abnormal wells are identified based on the above-mentioned coalbed methane hidden abnormal well identification method.

[0081] In the embodiment of the present invention, the hidden abnormal wells that can be identified are further analyzed. For example, the abnormal wells with flow pressure recovery are characterized by a rapid or slow decrease in the casing pressure and daily gas production at the same time. The drainage efficiency can be improved by increasing the operating frequency of the drainage equipment, pump collision, pump washing and pump inspection operations; the abnormal wells with casing pressure recovery are characterized by a simultaneous and equal increase in the flow pressure and casing pressure, and a continuous decrease in the daily gas production. This can be controlled by strengthening pipeline insulation or adopting a low constant casing pressure drainage control method; the abnormal wells with intermittent pumping are characterized by an increase in the casing pressure and gas volume after the well is opened, and a decrease in the casing pressure and gas volume after the well is stopped for a period of time. This can be controlled by increasing the number of drainage strokes, increasing the number of pumping unit strokes, extending the well opening time or improving the pump efficiency.

[0082] The principles of the problems solved by the above-mentioned devices, media, and related equipment in the embodiments of the present invention are similar to those of the above-mentioned methods, so their implementation can refer to the implementation of the above-mentioned methods, and the repeated parts will not be repeated.

[0083] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program code.

[0084] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0085] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0086] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0087] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for identifying hidden abnormal coalbed methane wells, characterized in that: include: The coalbed methane wells in the research block are grouped based on the block characteristics, the production and construction project batch to which the gas well belongs, the gas well type, the gas well development layer, and the surface gathering and transportation system to which the gas well belongs; respectively determining the decline rates of a plurality of single wells in the same group within a preset time period; Determine the well group decline rate of the well group based on the cumulative gas production of the well groups in the same group; A single well whose decline rate is higher than the preset range of the decline rate of the well group for a consecutive preset number of times is identified as a hidden abnormal well.

2. The method according to claim 1, characterized in that After identifying the hidden abnormal wells in the single well, the method further includes: verifying the hidden abnormal wells based on the drainage curve of the single well to determine the hidden abnormal wells in the research block.

3. The method according to claim 1, characterized in that Also includes: If the time span of the gas well production time in the same production and construction project batch is greater than the preset time span threshold, the coalbed methane wells in the study block are grouped based on the block characteristics, the gas well production time, the gas well type, the gas well development layer and the ground gathering and transportation system to which the gas well belongs.

4. The method according to any one of claims 1 to 3, characterized in that The decline rate is a monthly decline rate, an annual decline rate, or a decline rate over a preset time period; The preset number of times and the preset range are determined based on the empirical value of identifying hidden abnormal wells in the research block.

5. A method for treating hidden abnormal coalbed methane wells, characterized in that: include: Treat hidden and abnormal wells identified in the study area; Wherein, the hidden abnormal well is identified based on the method for identifying a hidden abnormal coalbed methane well as described in any one of claims 1 to 4.

6. A device for identifying hidden abnormal coalbed methane wells, characterized in that: include: The grouping module is used to group the coalbed methane wells in the study block based on the block characteristics, the production and construction project batch to which the gas well belongs, the gas well type, the gas well development layer, and the ground gathering and transportation system to which the gas well belongs; A single well decline rate determination module is used to respectively determine the decline rates of multiple single wells in the same group within a preset time period; A well group decline rate determination module, used to determine the well group decline rate of the well group based on the cumulative gas production of the well groups in the same group; The identification module is used to identify a single well whose decline rate exceeds the preset range of the well group decline rate for a consecutive preset number of times as a hidden abnormal well.

7. The device according to claim 6, characterized in that Also includes: A verification module is used to verify the hidden abnormal wells based on the drainage curve of the single well to determine the hidden abnormal wells in the research block.

8. The device according to claim 6, characterized in that Also includes: A judgment module is used to judge whether the time span of the gas well production time in the same production and construction project batch is greater than a preset time span threshold; if so, the grouping module is used to group the coalbed methane wells in the study block based on the block characteristics, the gas well production time, the gas well type, the gas well development layer and the ground gathering and transportation system to which the gas well belongs.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method for identifying hidden abnormal coalbed methane wells as described in any one of claims 1 to 4 is implemented.

10. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the method for identifying hidden abnormal coalbed methane wells according to any one of claims 1 to 4 is implemented.

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