Coal bed methane exploitation intelligent emission reduction system and method based on dynamic carbon footprint accounting

Abstract

The present application relates to greenhouse gas emission management and coal bed gas exploitation technical field, disclose a kind of coal bed gas exploitation intelligent emission reduction system and method based on dynamic carbon footprint accounting, system includes data perception layer, dynamic database layer, accounting engine layer and decision control layer, data perception layer real-time acquisition full life cycle energy consumption and emission data, dynamic database layer is based on measured data dynamic update emission factor, accounting engine layer calls dynamic factor, real-time calculation product carbon footprint, decision control layer generates and executes emission reduction strategy according to accounting result, and can be warned when emission is over standard.This application corrects general emission factor through measured data, significantly improves the accuracy and timeliness of accounting;Build a closed loop of "monitoring, accounting, early warning and control", realize the change from passive reporting to active emission reduction;And by tracing the emission to single well and single process, support fine management and process optimization.

Description

Technical Field

[0001] This invention relates to the fields of greenhouse gas emission management and coalbed methane extraction technology, and in particular to an intelligent emission reduction system and method for coalbed methane extraction based on dynamic carbon footprint accounting. Background Technology

[0002] With the increasing severity of global climate change and the introduction of "dual carbon" targets, the management of greenhouse gas emissions throughout the entire life cycle of coalbed methane (CBM), an important unconventional natural gas resource, has become increasingly crucial. The CBM extraction process involves multiple stages, including exploration, drilling and completion, engineering construction, and production processing. Each stage involves direct or indirect emissions of energy (diesel, electricity, natural gas) and greenhouse gases (CO2, CH4). Relevant data shows that wellhead venting (including casing gas venting and leaks due to seal failure) is the single largest emission source.

[0003] Currently, carbon emission management for wellhead emissions and production processes mainly relies on default values ​​calculated in relevant standards (such as GB / T 32151.16-2023) and traditional stationary gas recovery facilities. The accounting methodology generally employs a "static inventory method," which involves collecting production statistics reports from the previous year and extensively referencing static default factors from general databases (such as IPCC, CLCD, and CPCD). For example, the methane emission factor at natural gas extraction wellheads in oil and gas systems typically uses a fixed default value.

[0004] The existing methods have the following main drawbacks:

[0005] 1. Poor real-time data performance, belonging to "post-event accounting": Data updates are usually on a yearly basis, resulting in a strong lag.

[0006] 2. Low accuracy of emission factors: The extensive use of general default values ​​fails to reflect real-time emission fluctuations in specific blocks under specific operating conditions (such as a surge in methane emissions due to wellhead seal failure).

[0007] 3. Lack of automated emission reduction control mechanism: The accounting results can only be used as a post-event report and cannot trigger alarms or automatically adjust equipment operating parameters at the time of emission. This results in emission reduction measures being lagging and makes it difficult to tap the emission reduction potential of key links. Summary of the Invention

[0008] This invention provides an intelligent emission reduction system and method for coalbed methane extraction based on dynamic carbon footprint accounting, which solves the problems of poor data real-time performance, low accuracy of emission factors, inability to accurately locate instantaneous high emission sources, and lack of automated emission reduction control mechanism based on accounting results in existing coalbed methane carbon footprint accounting methods.

[0009] This invention provides an intelligent emission reduction system for coalbed methane extraction based on dynamic carbon footprint accounting, comprising: The data perception layer is used to collect integrated carbon-energy-production data (including energy consumption data, emission monitoring data and process parameter data) throughout the entire life cycle of coalbed methane extraction in real time. A dynamic database layer, comprising a basic factor library and a dynamic correction module, wherein the dynamic correction module is used to dynamically update the emission factors in the basic factor library based on the data collected in real time by the data perception layer; The calculation engine layer is used to calculate the carbon footprint of coalbed methane products in real time by calling emission factors dynamically updated by the dynamic database layer based on the preset life cycle assessment model. The decision control layer is used to generate emission reduction strategies based on the carbon footprint calculated by the calculation engine layer.

[0010] According to the present invention, a smart emission reduction system for coalbed methane extraction based on dynamic carbon footprint accounting is provided. The entire life cycle of coalbed methane extraction includes three stages: auxiliary material acquisition, exploration and development, and production and processing. The preset life cycle assessment model expression is as follows:

[0011] In the formula: The carbon footprint of coalbed methane products is expressed in kgCO2e. This indicates the carbon footprint of natural gas products during the raw material and energy acquisition stages; Indicates the carbon footprint during the exploration and development phase of natural gas products; This indicates the carbon footprint of natural gas products during the production and processing stages.

[0012] The present invention provides an intelligent emission reduction system for coalbed methane extraction based on dynamic carbon footprint accounting. The expression is:

[0013]

[0014]

[0015]

[0016] In the formula, These represent energy and resource consumption, waste disposal, transportation, and environmental emissions during the exploration and development phase, respectively. These represent flare emissions (updated based on real-time component analysis) and fugitive emissions (derived from CEMS data, not obtained from a table) during the exploration and development phase, respectively. This indicates the flare gas flow rate during the exploration and development phase. This represents the dynamically updated flare emission factor during the exploration and development phase. This indicates the number of equipment / nodes in the exploration and development phase. This represents the measured fugitive emission factor obtained through data inversion during the exploration and development phase.

[0017] The present invention provides an intelligent emission reduction system for coalbed methane extraction based on dynamic carbon footprint accounting. The expression is:

[0018]

[0019]

[0020]

[0021] In the formula, These respectively represent energy and resource consumption, waste treatment, transportation, and environmental emissions during the production and processing stages. These represent flare emissions (updated based on real-time component analysis) and fugitive emissions (derived from CEMS data, not obtained from a table) during the production and processing phases, respectively. This indicates the flare gas flow rate during the production processing stage. This indicates the dynamically updated flare emission factor. This indicates the number of devices / nodes in the production and processing stage. This represents the measured fugitive emission factor after data inversion during the production and processing stage.

[0022] According to the present invention, a smart emission reduction system for coalbed methane extraction based on dynamic carbon footprint accounting is provided, the decision control layer comprising: The analysis module is used to analyze the main emission contributors based on the carbon footprint calculated by the calculation engine layer.

[0023] According to the present invention, a smart emission reduction system for coalbed methane extraction based on dynamic carbon footprint accounting is provided, the decision control layer comprising: Emission reduction strategy execution module: Used to generate and execute emission reduction strategies for major emission sources.

[0024] According to the present invention, a smart emission reduction system for coalbed methane extraction based on dynamic carbon footprint accounting is provided, the decision control layer comprising: Early warning module: This module is used to trigger an early warning when the carbon footprint exceeds a preset threshold at any stage of the entire life cycle of coalbed methane extraction.

[0025] This invention also provides a smart emission reduction method for coalbed methane extraction based on dynamic carbon footprint accounting, comprising: According to the coalbed methane extraction plan, the intelligent emission reduction system for coalbed methane extraction based on dynamic carbon footprint accounting described above is initialized; The data perception layer is used to collect integrated carbon-energy-production data in real time within the current time window; The emission factors in the basic factor library are dynamically updated based on the carbon-energy-production integrated data of the current time window through the dynamic database layer; The accounting engine layer is invoked to calculate the carbon footprint of coalbed methane products in real time based on dynamically updated emission factors; The decision-making and control layer generates and implements emission reduction strategies based on the carbon footprint.

[0026] The present invention also provides an electronic device, including a processor and a memory storing a computer program, wherein the processor executes the computer program to implement the above-described intelligent emission reduction method for coalbed methane extraction based on dynamic carbon footprint accounting.

[0027] The present invention also provides a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the above-described intelligent emission reduction method for coalbed methane extraction based on dynamic carbon footprint accounting.

[0028] The present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the above-described intelligent emission reduction method for coalbed methane extraction based on dynamic carbon footprint accounting.

[0029] The present invention provides an intelligent emission reduction system and method for coalbed methane extraction based on dynamic carbon footprint accounting, which can bring at least the following beneficial effects: By constructing a system architecture comprising a data perception layer and a dynamic database layer, this invention can collect energy consumption, emissions, and process parameter data throughout the entire coalbed methane extraction process in real time. It then uses this measured data to update emission factors in the basic factor library in real time via a dynamic correction module. This mechanism fundamentally changes the existing "post-event accounting" model that relies on the previous year's reports and static default factors, solving the problems of poor data real-time performance and significant data lag. More importantly, it can reflect the actual emission fluctuations of specific blocks and specific equipment (such as wellhead seals) under specific operating conditions (e.g., escaping emissions). The calculation method has been changed from table lookup to CEMS data inversion, thereby eliminating the error caused by the use of general emission factors, making the accounting results more consistent with the actual geological and technological conditions, and realizing high-precision dynamic accounting of carbon footprint.

[0030] This invention performs real-time calculations through an accounting engine layer and transmits the results to the decision control layer in real time. The built-in parsing module in this layer can instantly identify major emission contributors, and the early warning module can immediately trigger an alarm when the carbon footprint exceeds a preset threshold at any stage. This design transforms traditional "post-event reporting" into "in-event intervention," enabling the immediate detection of "emission hotspots" (such as a surge in fugitive emissions caused by a sudden equipment leak), significantly shortening fault response time. Simultaneously, the emission reduction strategy execution module can automatically or assistedly execute emission reduction strategies (such as adjusting equipment operating parameters) for identified high-emission sources, thereby constructing an automated closed loop of "monitoring-calculation-early warning-control," effectively addressing the shortcomings of existing methods, such as the lack of automated emission reduction control mechanisms and the lag in emission reduction measures.

[0031] This invention performs calculations based on a pre-defined model covering the entire lifecycle of auxiliary material acquisition, exploration and development, production and processing, and traces emissions to specific stages (such as...). Even specific emission sources (such as single-well flare emissions) Single device emissions This ability to break down carbon footprints to individual wells and processes provides enterprises with an unprecedentedly transparent data view. It helps enterprises accurately identify inefficient processes and high-emission bottlenecks, providing direct and quantitative decision-making basis for optimizing processes and tapping key emission reduction potential, thus achieving refined management of carbon emissions. Attached Figure Description

[0032] To more clearly illustrate the technical solutions in this 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 this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0033] Figure 1 This is a schematic diagram of the structure of an intelligent emission reduction system for coalbed methane extraction based on dynamic carbon footprint accounting, provided by the present invention.

[0034] Figure 2 This is a flowchart illustrating an intelligent emission reduction method for coalbed methane extraction based on dynamic carbon footprint accounting, provided by the present invention.

[0035] Figure 3 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0036] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, embodiments of this invention, and should not be construed as limiting the invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention. In the description of this invention, it should be understood that the terminology used is for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0037] See Figure 1 The present invention provides an intelligent emission reduction system for coalbed methane extraction based on dynamic carbon footprint accounting, which may include: The data perception layer is used to collect integrated carbon-energy-production data (including energy consumption data, emission monitoring data and process parameter data) throughout the entire life cycle of coalbed methane extraction in real time. A dynamic database layer, comprising a basic factor library and a dynamic correction module, wherein the dynamic correction module is used to dynamically update the emission factors in the basic factor library based on the data collected in real time by the data perception layer; The calculation engine layer is used to calculate the carbon footprint of coalbed methane products in real time by calling emission factors dynamically updated by the dynamic database layer based on the preset life cycle assessment model (LCA model). The decision control layer is used to generate emission reduction strategies based on the carbon footprint calculated by the calculation engine layer.

[0038] In one embodiment, the data awareness layer may include: Energy consumption monitoring units are configured on key equipment (such as smart meters and flow meters installed on key equipment such as drilling rigs, fracturing trucks, oil pumping units (nodding machines), and booster compressors) to collect real-time data on diesel and electricity consumption. The emission monitoring unit is configured at key nodes such as wellheads, separators, and gas gathering stations. It uses a continuous methane monitor (CEMS) to monitor methane concentration and flow rate in real time and calculate fugitive emissions in real time, replacing the traditional general factor. The process parameter monitoring unit is used to collect DCS (Distributed Control System) data such as drilling depth, mud circulation volume, and flare gas flow rate.

[0039] In one embodiment, a basic factor library stores basic carbon emission factors for electricity, diesel, and raw materials (cement, casing), which can be sourced from general databases such as CLCD and CPCD. The dynamic correction module dynamically updates the emission factors in the basic factor library based on measured data (such as the methane emission rate of a specific facility) fed back from the data sensing layer, combined with ambient temperature and pressure parameters, thus forming a dynamic emission factor library that replaces the general default values. For example, the flare combustion carbon oxidation rate is updated based on real-time monitored flare composition analysis.

[0040] The data sensing layer collects real-time data such as methane concentration, ambient temperature and pressure, and flare composition. The dynamic correction module inputs this data into the model to calculate the current actual emission intensity, thereby replacing the commonly used "default value" in the database. Traditional methods assume that the leaked methane at the wellhead is a fixed value, while this invention uses CEMS to measure the concentration and flow rate to deduce the actual leakage amount at that instant. This "measured value / number of devices" is the dynamic emission factor.

[0041] In one embodiment, the entire lifecycle of coalbed methane extraction is divided into three stages: auxiliary material acquisition, exploration and development (drilling and completion, engineering construction), and production and processing. The preset lifecycle assessment model expression is as follows:

[0042] In the formula: The carbon footprint of coalbed methane products is expressed in kgCO2e. This indicates the carbon footprint of natural gas products during the raw material and energy acquisition stages; Indicates the carbon footprint during the exploration and development phase of natural gas products; This indicates the carbon footprint of natural gas products during the production and processing stages.

[0043] in, The expression is:

[0044]

[0045]

[0046]

[0047] In the formula, These represent energy and resource consumption, waste disposal, transportation, and environmental emissions during the exploration and development phase, respectively. These represent real-time flare emissions during the exploration and development phase, obtained from dynamically updated emission factors, and fugitive emissions derived from data inversion, respectively. The flare gas flow rate during the exploration and development phase refers to the volume of coalbed methane entering the flare system for combustion and exhaust per unit time (usually measured in real time by the flow meter of the gas gathering station or separator). The dynamically updated flare emission factor represents the amount of carbon dioxide equivalent produced per unit volume of gas burned by the flare during the exploration and development phase (the main calculation formula is referenced from the CO2 emission factor for fossil fuel combustion). , CC i This represents the carbon content per unit heat of the i-th fossil fuel, expressed in tons of carbon per gigajoules (t C / GJ). OF i This represents the carbon oxidation rate of the i-th fossil fuel, expressed as a percentage (%). 44 / 12 This represents the conversion coefficient between carbon dioxide and carbon, expressed in tons of carbon dioxide per ton of carbon. It is updated based on real-time component analysis and primarily considers the carbon oxidation rate during combustion. This indicates the number of equipment / nodes in the exploration and development phase, referring to the total number of components (such as valves, flanges, connectors, sealing points, etc.) that may generate fugitive emissions during exploration and development. This represents the measured fugitive emission factor during the exploration and development phase. It is a dynamic value obtained based on measured inversion and is defined as: the average methane leakage of a single equipment component per unit time. It is calculated by monitoring environmental concentration fluctuations and combining wind direction, temperature and pressure inversion to obtain the single-point average emission intensity (that is, the mathematical / physical model of inversion mentioned earlier).

[0048] in, The expression is:

[0049]

[0050]

[0051]

[0052] In the formula, These respectively represent energy and resource consumption, waste treatment, transportation, and environmental emissions during the production and processing stages. These represent the real-time flare emissions from the production and treatment phases, obtained based on dynamically updated emission factors, and the fugitive emissions derived from data inversion, respectively. The flare gas flow rate in the production and processing stage refers to the volume of coalbed methane entering the flare system for combustion and exhaust per unit time (usually measured in real time by the flow meter of the gas gathering station or separator). The dynamically updated flare emission factor refers to the carbon dioxide equivalent produced per unit volume of gas burned by the flare (the main calculation formula is referenced from the CO2 emission factor of fossil fuel combustion). , CC i This represents the carbon content per unit heat of the i-th fossil fuel, expressed in tons of carbon per gigajoules (t C / GJ). OF i This represents the carbon oxidation rate of the i-th fossil fuel, expressed as a percentage (%). 44 / 12 This represents the conversion coefficient between carbon dioxide and carbon, expressed in tons of carbon dioxide per ton of carbon. It is updated based on real-time component analysis and primarily considers the carbon oxidation rate during combustion. This indicates the number of equipment / nodes in the production and processing stage, referring to the total number of components (such as valves, flanges, connectors, and sealing points) in the production and processing unit that may generate fugitive emissions. This represents the measured fugitive emission factor during the production and processing stage. It is a dynamic value obtained based on measured inversion and is defined as: the average methane leakage of a single equipment component per unit time. It is calculated by monitoring environmental concentration fluctuations and combining wind direction, temperature and pressure inversion to obtain the single-point average emission intensity (that is, the mathematical / physical model of inversion mentioned earlier).

[0053] In one embodiment, the decision control layer may include: The analysis module is used to analyze the main emission contributors based on the carbon footprint calculated by the calculation engine layer; Emission reduction strategy execution module: Used to generate and execute emission reduction strategies for major emission sources (emission reduction strategies can be linked and controlled, for power consumption: based on real-time carbon emission intensity, intelligently schedule the start and stop times of oil pumping units and booster pumps, and prioritize the use of photovoltaic microgrids (if available) or off-peak electricity, for methane emissions: once high concentration emissions are detected, automatically generate an LDAR (Leak Detection and Repair) work order and link to close relevant valves or start the gas recovery unit (VRU)). Early warning module: This module is used to trigger an early warning when the carbon footprint exceeds a preset threshold at any stage of the entire life cycle of coalbed methane extraction.

[0054] In one embodiment, for the intelligent emission reduction system for coalbed methane extraction based on dynamic carbon footprint accounting provided by the present invention, data acquisition can be performed by periodically inspecting the system using a drone equipped with a high-sensitivity gas sensor, or by using satellite remote sensing data to invert regional methane concentrations, replacing fixed CEMS sensors. The computing architecture can employ a cloud computing platform for offline batch processing, replacing real-time edge computing. With slight modifications to the architecture (such as changing the emission factor library), it can be applied to the extraction of other unconventional natural gas such as shale gas and tight gas.

[0055] Based on the intelligent emission reduction system for coalbed methane extraction based on dynamic carbon footprint accounting provided by this invention, an intelligent emission reduction method for coalbed methane extraction based on dynamic carbon footprint accounting can be formed (see...). Figure 2 ), including the following steps: According to the coalbed methane extraction plan, the intelligent emission reduction system for coalbed methane extraction based on dynamic carbon footprint accounting is initialized, for example, by setting the system accounting boundary (cradle to gate) and importing the static carbon footprint factors of basic materials (such as casing, fracturing fluid, etc.). The data sensing layer is used to collect energy consumption data, emission monitoring data and process parameter data in real time within the current time window, such as drilling and completion diesel consumption, power consumption during the production stage, flare gas volume and wellhead methane concentration within the current time window. The emission factors in the basic factor library are dynamically updated by the dynamic database layer based on the energy consumption data, emission monitoring data and process parameter data of the current time window. For example, the current fugitive emission factor is calculated by back-calculating the measured methane concentration and the emission factors in the basic factor library are updated in combination with the real-time operating conditions. This is different from using fixed default values. The methane fugitive emission factor and the carbon oxidation rate of the flare combustion are dynamically corrected by the on-site CEMS measured data to establish a regional dynamic emission factor library. The accounting engine layer is invoked to calculate the carbon footprint of coalbed methane products in real time based on dynamically updated emission factors; The decision control layer generates and executes emission reduction strategies based on the carbon footprint. For example, it analyzes the main emission contributors based on the carbon footprint value of the current batch of coalbed methane (the system can perform normalization processing and convert the emissions (carbon footprint) of each stage into GWP (global warming potential, unit kgCO2e / m³) in real time, thereby obtaining the main emission contributors). Based on the main emission contributors, it generates and executes emission reduction strategies, including starting the gas recovery device (if the emission is too high (exceeding a certain preset value), the gas recovery device is started) or adjusting the equipment operating parameters (if the self-use gas combustion efficiency is low (below a certain preset value), the generator air-fuel ratio is adjusted), etc.

[0056] Specifically, when analyzing emission contribution sources, it can be broken down to specific individual wells, individual equipment, or even individual processes: 1. Tagging: During the initialization phase, the system encodes assets at the mining site. Each energy consumption monitoring point (smart meter) and emission monitoring point (CEMS / sensor) is bound to a specific asset ID (e.g., Drilling Well No. 001, Booster Unit No. 05); 2. Normalized comparison: During the analysis, the emission data of all individual points will be "normalized" (i.e. converted into carbon footprint per unit output). 3. When the decision-making and control layer detects a surge in carbon footprint at a certain stage, the system will trace back upwards using the associated ID. For example, if the system detects an anomaly in the carbon footprint during the "production and processing stage," the analysis will further retrieve data from all sensors during that stage, discovering that the methane concentration sensor at "XX wellhead" is exceeding the standard, thus accurately locating the sealing failure problem of that well.

[0057] The intelligent emission reduction system and method for coalbed methane extraction based on dynamic carbon footprint accounting provided by this invention effectively eliminates errors caused by the use of general emission factors by introducing measured data correction and establishing a regional dynamic emission factor library, making the accounting results more consistent with actual geological and technological conditions. It changes the current situation where emissions are only known at the end of the year. Through real-time monitoring and early warning, "emission hotspots" (such as sudden equipment leaks) can be detected in time, greatly shortening the fault response time. It refines the carbon footprint to a single well and a single process, which helps enterprises identify inefficient links and optimize the process flow.

[0058] Figure 3 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 3 As shown, the electronic device may include a processor 810, a communications interface 820, a memory 830, and a communication bus 840, wherein the processor 810, the communications interface 820, and the memory 830 communicate with each other via the communication bus 840. The processor 810 can call logical instructions in the memory 830 to execute the following steps: According to the coalbed methane extraction plan, the intelligent emission reduction system for coalbed methane extraction based on dynamic carbon footprint accounting is initialized. The data sensing layer is used to collect energy consumption data, emission monitoring data, and process parameter data in real time within the current time window; The emission factors in the basic factor library are dynamically updated by the dynamic database layer based on the energy consumption data, emission monitoring data and process parameter data of the current time window. The accounting engine layer is invoked to calculate the carbon footprint of coalbed methane products in real time based on dynamically updated emission factors; The decision-making and control layer generates and implements emission reduction strategies based on the carbon footprint.

[0059] Furthermore, the logical instructions in the aforementioned memory 830 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0060] On the other hand, the present invention also provides a computer program product, the computer program product comprising a computer program, the computer program being able to be stored on a non-transitory computer-readable storage medium, and the computer program being executed by a processor, enabling the computer to perform the following steps: According to the coalbed methane extraction plan, the intelligent emission reduction system for coalbed methane extraction based on dynamic carbon footprint accounting is initialized. The data sensing layer is used to collect energy consumption data, emission monitoring data, and process parameter data in real time within the current time window; The emission factors in the basic factor library are dynamically updated by the dynamic database layer based on the energy consumption data, emission monitoring data and process parameter data of the current time window. The accounting engine layer is invoked to calculate the carbon footprint of coalbed methane products in real time based on dynamically updated emission factors; The decision-making and control layer generates and implements emission reduction strategies based on the carbon footprint.

[0061] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the following steps: According to the coalbed methane extraction plan, the intelligent emission reduction system for coalbed methane extraction based on dynamic carbon footprint accounting is initialized. The data sensing layer is used to collect energy consumption data, emission monitoring data, and process parameter data in real time within the current time window; The emission factors in the basic factor library are dynamically updated by the dynamic database layer based on the energy consumption data, emission monitoring data and process parameter data of the current time window. The accounting engine layer is invoked to calculate the carbon footprint of coalbed methane products in real time based on dynamically updated emission factors; The decision-making and control layer generates and implements emission reduction strategies based on the carbon footprint.

[0062] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0063] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0064] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A smart emission reduction system for coalbed methane extraction based on dynamic carbon footprint accounting, characterized in that, include: The data perception layer is used to collect integrated carbon-energy-production data throughout the entire life cycle of coalbed methane extraction in real time. A dynamic database layer, comprising a basic factor library and a dynamic correction module, wherein the dynamic correction module is used to dynamically update the emission factors in the basic factor library based on the data collected in real time by the data perception layer; The calculation engine layer is used to calculate the carbon footprint of coalbed methane products in real time by calling emission factors dynamically updated by the dynamic database layer based on the preset life cycle assessment model. The decision control layer is used to generate emission reduction strategies based on the carbon footprint calculated by the calculation engine layer.

2. The intelligent emission reduction system for coalbed methane extraction based on dynamic carbon footprint accounting as described in claim 1, characterized in that, The entire life cycle of coalbed methane extraction includes three stages: auxiliary material acquisition, exploration and development, and production and processing. The pre-defined life cycle assessment model expression is: In the formula: The carbon footprint of coalbed methane products is expressed in kgCO2e. This indicates the carbon footprint of natural gas products during the raw material and energy acquisition stages; Indicates the carbon footprint during the exploration and development phase of natural gas products; This indicates the carbon footprint of natural gas products during the production and processing stages.

3. The intelligent emission reduction system for coalbed methane extraction based on dynamic carbon footprint accounting according to claim 2, characterized in that, The expression is: In the formula, These represent energy and resource consumption, waste disposal, transportation, and environmental emissions during the exploration and development phase, respectively. These represent real-time flare emissions during the exploration and development phase, obtained from dynamically updated emission factors, and fugitive emissions derived from data inversion, respectively. This indicates the flare gas flow rate during the exploration and development phase. This represents the dynamically updated flare emission factor during the exploration and development phase. This indicates the number of equipment / nodes in the exploration and development phase. This represents the measured fugitive emission factor obtained through data inversion during the exploration and development phase.

4. The intelligent emission reduction system for coalbed methane extraction based on dynamic carbon footprint accounting according to claim 3, characterized in that, The expression is: In the formula, These respectively represent energy and resource consumption, waste treatment, transportation, and environmental emissions during the production and processing stages. These represent the real-time flare emissions from the production and treatment phases, obtained based on dynamically updated emission factors, and the fugitive emissions derived from data inversion, respectively. This indicates the flare gas flow rate during the production processing stage. This indicates the dynamically updated flare emission factor. This indicates the number of devices / nodes in the production and processing stage. This represents the measured fugitive emission factor after data inversion during the production and processing stage.

5. The intelligent emission reduction system for coalbed methane extraction based on dynamic carbon footprint accounting according to any one of claims 1-4, characterized in that, The decision-making and control layer includes: The analysis module is used to analyze the main emission contributors based on the carbon footprint calculated by the calculation engine layer.

6. The intelligent emission reduction system for coalbed methane extraction based on dynamic carbon footprint accounting according to claim 5, characterized in that, The decision-making and control layer includes: Emission reduction strategy execution module: Used to generate and execute emission reduction strategies for major emission sources.

7. The intelligent emission reduction system for coalbed methane extraction based on dynamic carbon footprint accounting according to claim 5, characterized in that, The decision-making and control layer includes: Early warning module: This module is used to trigger an early warning when the carbon footprint exceeds a preset threshold at any stage of the entire life cycle of coalbed methane extraction.

8. A smart emission reduction method for coalbed methane extraction based on dynamic carbon footprint accounting, characterized in that, include: According to the coalbed methane extraction plan, the intelligent emission reduction system for coalbed methane extraction based on dynamic carbon footprint accounting as described in any one of claims 1-7 is initialized; The data perception layer is used to collect integrated carbon-energy-production data in real time within the current time window; The emission factors in the basic factor library are dynamically updated based on the carbon-energy-production integrated data of the current time window through the dynamic database layer; The accounting engine layer is invoked to calculate the carbon footprint of coalbed methane products in real time based on dynamically updated emission factors; The decision-making and control layer generates and implements emission reduction strategies based on the carbon footprint.

9. An electronic 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, it implements the intelligent emission reduction method for coalbed methane extraction based on dynamic carbon footprint accounting as described in claim 8.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the intelligent emission reduction method for coalbed methane extraction based on dynamic carbon footprint accounting as described in claim 8.

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