A coalbed methane reservoir classification and evaluation method based on multiple parameters

Abstract

The present application relates to coalbed methane reservoir classification technical field, specifically to a kind of coalbed methane reservoir classification and evaluation method based on multiple parameters, method includes the following steps: determining target coal seam and at least two kinds of to be collected reservoir parameter type, in target coal seam deployment and each reservoir parameter type corresponding acquisition terminal;Ground deployment server, based on server registration management end, establish the transmission network between acquisition terminal and management end;Based on acquisition terminal, the multiple parameter data of target coal seam is collected in real time, based on transmission network, the multiple parameter data is transmitted to the management end, based on management end, target coal seam is evaluated to obtain evaluation value;Evaluation value is matched with multiple threshold interval, according to matching result, the class identifier of target coalbed methane reservoir is determined, the accuracy of target coal seam evaluation under the time node can be improved, and then the accuracy of classification is improved.

Description

Technical Field

[0001] This invention relates to the field of coalbed methane reservoir classification technology, specifically to a multi-parameter-based method for classifying and evaluating coalbed methane reservoirs. Background Technology

[0002] Accurate classification and dynamic evaluation of coalbed methane reservoirs are core technologies for ensuring safe coal mine production, optimizing coalbed methane extraction efficiency, and assessing development potential. Currently, the mainstream technical approach in this field mainly relies on static analysis and comprehensive evaluation of key geological parameters (such as coal seam thickness, gas content, and permeability) and engineering parameters (such as fracturing scale and drainage data). However, existing classification and evaluation methods suffer from transmission delays and asynchrony during the transfer of multiple parameter data to the management terminal. This makes it difficult to ensure that each parameter used for evaluation corresponds to the coal seam state at the same moment, thus failing to accurately reflect the instantaneous overall safety status of the coal seam and consequently affecting the accuracy of coal seam classification and evaluation.

[0003] To address these issues, we propose a multi-parameter-based method for classifying and evaluating coalbed methane reservoirs. Summary of the Invention

[0004] The purpose of this invention is to provide a multi-parameter-based method for classifying and evaluating coalbed methane reservoirs, in order to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a multi-parameter-based method for classifying and evaluating coalbed methane reservoirs, comprising the following steps:

[0006] Identify the target coal seam and at least two types of reservoir parameters to be collected; deploy acquisition terminals corresponding to each type of reservoir parameter in the target coal seam; deploy a server on the ground; register a management terminal on the server; and establish a transmission network between the acquisition terminals and the management terminal.

[0007] The target coal seam is collected in real time by the acquisition terminal, and the multi-parameter data is transmitted to the management terminal via the transmission network. The management terminal evaluates the target coal seam to obtain an evaluation value.

[0008] The evaluation value is matched with multiple threshold intervals, and the category identifier of the target coalbed methane reservoir is determined based on the matching results.

[0009] Preferably, the steps for establishing a transmission network between the data acquisition terminal and the management terminal include:

[0010] Register each data acquisition terminal to the corresponding monitoring terminal, and establish a transmission channel between each monitoring terminal and the management terminal;

[0011] Each monitoring terminal is assigned a sequence of moving points arranged in chronological order, where the moving points are used to store parameter data at a specific time point;

[0012] For the same time point, communication connections are established between mobile points corresponding to the same time point in the mobile point sequences of different monitoring terminals to form multiple mobile networks corresponding to different time points; a transfer point is configured for each mobile point in each mobile network, a database is set up for each mobile point, and data transfer rules are established between the database and the transfer point;

[0013] A mobile network is formed by connecting multiple mobile points at the same time point located in different transmission channels. Arranging these mobile points in chronological order results in a transmission network.

[0014] Preferably, the steps of configuring a switching point for each mobile point in each mobile network, setting up a database for each mobile point, and establishing data transfer rules between the database and the switching point include:

[0015] The database is divided into multiple sub-databases for communication connections. A real data packet and multiple fake data packets are set, and the real data packet and each fake data packet are stored in different sub-databases respectively.

[0016] Construct dynamic location change rules centered on the sub-database where the real data packets are located; configure transfer points for each mobile point, establish the association relationship between the mobile point and the transfer point, including the docking relationship between the mobile point and the current transfer point and the binding relationship between the mobile point and the transfer point corresponding to the adjacent mobile point, and establish docking channels between the mobile point and the two transfer points respectively;

[0017] When an anomaly is detected in the transmission channel where the current moving point is located, based on the dynamic position change rule, the identifier of the sub-database corresponding to the real data packet on the abnormal transmission channel is exchanged with the identifier of the sub-database corresponding to the other fake data packet.

[0018] Based on the transfer point, real data packets are transferred from the database of the current mobile point and then transferred to the adjacent mobile point via the docking channel. At the same time, multiple fake data packets are controlled to dock with the abnormal access port in sequence.

[0019] Preferably, the steps for constructing dynamic location transformation rules centered on the sub-database where the real data packets reside include:

[0020] Assign an identifier to each sub-database, and assign a virtual address associated with the logical location identifier of the sub-database to each real data packet and each fake data packet.

[0021] Establish a dynamic mapping table to record the real-time mapping relationship between the virtual address of real data packets, the virtual address of each fake data packet, and the logical location identifier of all sub-databases;

[0022] When an anomaly is detected in the transmission channel where the current mobile point is located, the dynamic mapping table is updated according to a predetermined strategy to achieve the swapping of logical addresses.

[0023] Preferably, the steps for transmitting multi-parameter data to the management terminal via the transmission network include:

[0024] Based on the monitoring terminal collecting multi-parameter data and assigning corresponding mobile points and transfer points according to the collection time nodes, the parameter data of a monitoring terminal at a time node is encapsulated into a real data packet, while generating multiple fake data packets.

[0025] Real data packets and fake data packets are stored in different sub-databases; when no abnormal access is detected in the transmission channel, the real data packets are transmitted to the management terminal based on the transmission channel.

[0026] When abnormal access to the transmission channel is detected, the identifier of the real data packet in the sub-database of the current mobile point is exchanged with the identifier of the sub-database corresponding to any other fake data packet. At the same time, multiple fake data packets are controlled to establish connections with the abnormal access port in sequence, and the docking channel between the current mobile point and at least one transfer point is started.

[0027] Based on the docking channel, the real data packets are transferred from the storage of the current mobile point and routed to another adjacent mobile point in the mobile network via the transfer point. Based on the mobile network, the real data packets corresponding to the mobile point are transmitted to the management terminal.

[0028] Preferably, the step of transmitting the actual data packets corresponding to the mobile point to the management terminal based on the mobile network includes:

[0029] The system acquires real data packets from multiple monitoring terminals at the same time point. Mobile points in the mobile network synchronously carry the corresponding real data packets and transmit them in parallel in the corresponding transmission channels. At the same time, all real data packets belonging to the same time point are bound together to form a multi-parameter association group, which is then stored as a whole at the management terminal.

[0030] Preferably, the steps for evaluating the target coal seam based on the management terminal to obtain the evaluation value include: obtaining the multi-parameter correlation clusters received by the management terminal; constructing and deploying a coal seam evaluation model on the management terminal, and inputting the multi-parameter correlation clusters into the evaluation model; and evaluating the state of the target coal seam at the current time node based on the evaluation model to obtain the evaluation value.

[0031] Preferably, the step of matching the evaluation value with multiple threshold intervals and determining the category identifier of the target coalbed methane reservoir based on the matching results includes:

[0032] The evaluation value of the target coalbed methane reservoir is obtained, and multiple threshold intervals are preset, each threshold interval corresponding to a specific category identifier. The obtained evaluation value of the target coalbed methane reservoir is matched with the multiple threshold intervals, and the category identifier corresponding to the target coalbed methane reservoir is determined based on the matching results.

[0033] Compared with the prior art, the beneficial effects of the present invention are:

[0034] The real data packets are transferred to the transfer point via the docking channel. The transfer point then transmits the real data packets to other mobile points adjacent to the current mobile point, using the transmission channels of these other mobile points for data transmission. At the same time, the monitoring end corresponding to the real data packet is marked for subsequent parameter source differentiation at the management end. This ensures the security of multiple types of parameter data during transmission. By setting the mobile network to transmit multiple types of parameter data collected at the same time point as a correlation group to the management end for classification and evaluation, it is ensured that the evaluated parameters are from the same time point, thereby improving the accuracy of the target coal seam evaluation at that time point and thus improving the accuracy of classification. Attached Figure Description

[0035] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0036] Figure 1 This is a schematic diagram of the method flow of the present invention. Detailed Implementation

[0037] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0038] For examples, please refer to Figure 1 This invention provides a technical solution for a multi-parameter-based coalbed methane reservoir classification and evaluation method: a multi-parameter-based coalbed methane reservoir classification and evaluation method, comprising the following steps:

[0039] S1: Determine the target coal seam and at least two types of reservoir parameters to be collected; deploy collection terminals corresponding to each type of reservoir parameter in the target coal seam; deploy a server on the ground; register a management terminal based on the server; and establish a transmission network between the collection terminals and the management terminal.

[0040] The steps for establishing a transmission network between the data acquisition terminals and the management terminal include: registering each data acquisition terminal to its corresponding monitoring terminal and establishing a transmission channel between each monitoring terminal and the management terminal; setting a sequence of mobile points arranged in chronological order for each monitoring terminal, where each mobile point stores parameter data for a specific time node; for the same time node, establishing communication connections between mobile points corresponding to the same time node in the mobile point sequences of different monitoring terminals to form multiple mobile networks corresponding to different time nodes; configuring a switching point for each mobile point in each mobile network, setting up a database for each mobile point, and establishing data transfer rules between the database and the switching point; and arranging the mobile networks formed by connecting multiple mobile points corresponding to the same time node located in different transmission channels in chronological order to obtain the transmission network.

[0041] Specifically, a monitoring terminal is registered for each data acquisition terminal. A transmission channel is established between each monitoring terminal and the management terminal. Each monitoring terminal stores multiple mobile points arranged in chronological order. These mobile points store parameter data of the corresponding parameter type at a specific time node. Each mobile point represents the logical location or network address of its associated data acquisition terminal at that time. Mobile points corresponding to the same time node in different monitoring terminals are connected to each other, resulting in multiple mobile networks at different time nodes. A relay point is configured for each mobile point. The relay point is connected to other mobile points and is located among adjacent downstream mobile points in the mobile network. Downstream mobile points are other mobile points adjacent to the mobile point corresponding to the relay point in the mobile network. This "adjacent" means that the transmission channels of mobile points at the same time node are adjacent. A database is set up internally for each mobile point, establishing a connection between the database and the relay point. The mobile networks formed by connecting multiple mobile points corresponding to the same time node in different transmission channels are arranged in chronological order to obtain the transmission network. For example, if there are three monitoring terminals corresponding to mobile points A, B, and C respectively, and the three... Each monitoring terminal corresponds to three transmission channels 1, 2, and 3. Mobile point A corresponds to transmission channel 1, B to transmission channel 2, and C to transmission channel 3. The mobile network formed by the three monitoring points is A connected to B, then to C, and finally back to A. The transfer point corresponding to A is located in transmission channel 2 corresponding to B, the transfer point corresponding to B is located in transmission channel 3 corresponding to C, and the transfer point corresponding to C is located in transmission channel 1 corresponding to A. Downstream mobile points include those that transfer data to transfer points associated with the current mobile point, as well as those that have a data transfer relationship with the current mobile point. Priority is given to transfer points associated with the current mobile point, eliminating the docking step and reducing data transfer time. When two adjacent transmission channels are both abnormal, the location of the normal transmission channel determines which transfer point to transfer the data from the current mobile point. During data transfer, the data is transferred within the same mobile network, ensuring that multiple parameter data arriving at the management terminal belong to the same time node, thereby guaranteeing the accuracy of the target coal seam evaluation and improving the accuracy of classification.

[0042] The steps for configuring a switching point for each mobile point in each mobile network, setting up a database for each mobile point, and establishing data transfer rules between the database and the switching point include: dividing the database into multiple sub-databases for communication connections; setting one real data packet and multiple dummy data packets, and storing the real data packet and each dummy data packet in different sub-databases; constructing dynamic position transformation rules centered on the sub-database where the real data packet is located, enabling the real data packet and any dummy data packet to perform position transformations between their corresponding sub-databases; configuring a switching point for each mobile point, establishing associations between mobile points and switching points, including the docking relationship between the mobile point and the current switching point, and the binding relationship between the mobile point and the switching points corresponding to adjacent mobile points; establishing docking channels between the mobile point and the two switching points; when an anomaly is detected in the transmission channel where the current mobile point is located, based on the dynamic position transformation rules, exchanging the identifier of the sub-database corresponding to the real data packet on the abnormal transmission channel with the identifier of the sub-database corresponding to other dummy data packets; transferring the real data packet from the current mobile point's database based on the switching point and transferring it to the adjacent mobile point via the docking channel, while simultaneously controlling multiple dummy data packets to dock with the abnormal access port in sequence;

[0043] Exchanging the identifier of the sub-database containing the real data packet with the identifier of any sub-database containing a fake data packet means that when an anomaly is detected in the transmission channel where the current mobile point is located, the logical address of the real data packet and its first sub-database is swapped with the logical address of the selected fake data packet in the second sub-database. This swapping operation does not change the original storage state of the real and fake data packets on their respective physical storage media. When the real data packet is transmitted between different mobile points due to normal communication protocols, the logical addressing information of the transfer points associated with adjacent mobile points in each mobile point is synchronously updated along with the logical location identifier of the sub-database containing the real data packet in that mobile point. This synchronous update of the transfer point's logical addressing information ensures that when an external entity accesses a transfer point through a fixed interface, the actual sub-database it connects to changes dynamically according to the current state of the dynamic mapping table.

[0044] It should be noted that after the real data packet is transferred to the adjacent mobile point through the transfer point, the connection between the current mobile point and the transfer point is immediately disconnected and the connection channel is terminated; the content of the fake data packet is invalid data or decoy data containing misleading information; transfer refers to copying the real data packet at the transfer point and sending a deletion command to the source mobile point, or adding a removal mark to the header of the data packet and stripping it at the transfer point;

[0045] It should be noted that establishing the association between mobile points and transfer points includes the docking relationship between the mobile point and the current transfer point, as well as the binding relationship between the mobile point and the transfer points corresponding to adjacent mobile points. The binding relationship between the mobile point and the transfer points corresponding to adjacent mobile points refers to the transfer points associated with the current mobile point for docking with other mobile points. The docking relationship between the mobile point and the current transfer point refers to the transfer points bound to other mobile points for docking with the current mobile point. When the transmission channel of the current mobile point is abnormal, data packets in the sub-database can be preferentially transferred to its own associated transfer point. When the transmission channel of the transfer point is also abnormal, data can be transferred to the current mobile point through docking with the transfer points associated with other mobile points. After successful transfer, the connection between the transfer point and the current mobile point is disconnected, and the data packets are transmitted to the corresponding adjacent mobile point. A docking channel is established between the mobile point and the two transfer points, and a trigger condition is set for the docking channel. The trigger condition is that when an abnormality is detected in the transmission channel, the docking channel is opened, and data transfer is performed through the docking channel.

[0046] The steps for constructing dynamic location change rules centered on the sub-database where the real data packet resides include: assigning an identifier to each sub-database to identify its logical location, and assigning a virtual address associated with the logical location identifier of the current sub-database to each real data packet and each fake data packet; establishing a dynamic mapping table to record the real-time mapping relationship between the virtual addresses of real data packets, the virtual addresses of each fake data packet, and the logical location identifiers of all sub-databases; when an anomaly is detected in the transmission channel where the current movement point is located, updating the dynamic mapping table according to a predetermined strategy to swap logical addresses. The predetermined strategy involves determining the access source or anomaly location corresponding to the transmission channel anomaly, selecting a second sub-database corresponding to any fake data packet, and swapping the virtual addresses mapped by the logical location identifiers of the first sub-database and the selected second sub-database in the dynamic mapping table. The physical location and content of the sub-database remain unchanged; what changes is the visitor's perception of "which address corresponds to which data packet."

[0047] Specifically, the database is divided into multiple sub-databases. The location of the associated transfer point of adjacent mobile points changes within the current mobile point according to the sub-database where the real data packet is located. Multiple spoof data packets and one real data packet are set up, and the multiple spoof data packets and the real data packet are stored in a sub-database respectively. The multiple sub-databases are connected for communication. Dynamic transformation rules are constructed based on the location of the real data packet. Centered on the sub-database where the real data packet is located, the real data packet and multiple spoof data packets can be transformed in position. When abnormal access occurs, the sub-database where the real data packet is located is transformed according to the position transformation rules. When there is an abnormal transmission channel, the identifier of the sub-database corresponding to the real data packet on the abnormal transmission channel is exchanged with the identifier of the sub-database corresponding to the other spoof data packet. At the same time, the real data packet is transferred through the transfer point to the corresponding mobile point in another transmission channel. Meanwhile, multiple spoof data packets sequentially connect to the access port to perform interference operations, buying time for the data packet transfer.

[0048] It should be noted that a mobile point refers to a logical functional entity at a specific time node used for temporary storage, processing, and forwarding of single or multi-parameter data packets collected by the monitoring terminal. It is a logical unit dynamically generated along with the data acquisition time. Each mobile point is associated with a precise timestamp and is the basic unit for constructing the "mobile network" and realizing spatiotemporally aligned data transmission. It serves as a temporary carrier and exchange node for data during transmission. The mobile network refers to the instantaneous logical network formed by all mobile points corresponding to different monitoring terminals and carrying parameter data at that moment, through established communication connections at the same time node. It is dynamically generated and dissipated with each sampling time node. Its core function is to ensure that multi-parameter data collected at the same time and different spatial locations can be collaboratively processed and transmitted, providing a network foundation for the subsequent formation of "multi-parameter association groups." The sub-database identifier is used to distinguish the logical addresses of different sub-databases within the mobile point. The logical location identifier is an abstract representation of the sub-database identifier in the "dynamic mapping table" used to map to the virtual address. The essence of exchanging identifiers is updating the mapping relationship and changing the actual sub-database pointed to by the virtual address, rather than physically relocating data. A transfer point is a dedicated logical interface or proxy node configured for mobile points to establish a backup data migration path in the event of a transmission channel failure. Each mobile point is typically associated with two transfer points: a first transfer point (its primary exit) and a second transfer point (a backup entry bound to an adjacent mobile point). These act as "data escape hatches," providing a protected path for real data packets to escape danger zones through docking channels when a threat is detected. The transmission network refers to a holistic, time-sequential data transmission architecture composed of multiple mobile networks arranged in chronological order, and all transmission channels connecting the monitoring end, mobile points, transfer points, and management end. Spatially, it achieves multi-point, multi-parameter synchronization through the mobile network; temporally, it achieves continuous and orderly data reporting through the serialization of the mobile network. This constitutes the data transmission environment from data acquisition to management reception; the multi-parameter association cluster refers to the structured data set formed by logically binding all real data packets collected from different locations (monitoring ends) of the target coal seam at the same time node and synchronously transmitted through the mobile network at the management end. All input parameters of the evaluation model correspond to the same sampling time and the same target coal seam area, so that the evaluation results based on it can accurately reflect the overall state of the coal seam at that instant.

[0049] S2: Real-time acquisition of multi-parameter data of the target coal seam based on the acquisition terminal, transmission of the multi-parameter data to the management terminal based on the transmission network, and evaluation of the target coal seam based on the management terminal to obtain the evaluation value;

[0050] The steps for transmitting the multi-parameter data to the management terminal via the transmission network include: collecting multi-parameter data from the monitoring terminal and assigning corresponding mobile points and transfer points according to the collection time nodes; encapsulating the parameter data of one monitoring terminal at one time node into a real data packet, while generating multiple fake data packets; storing the real data packets and fake data packets in different sub-databases; transmitting the real data packets to the management terminal via the transmission channel when no abnormal access is detected; exchanging the identifier of the real data packet in the sub-database of the current mobile point with the identifier of the sub-database corresponding to any other fake data packet, while controlling multiple fake data packets to establish connections with the abnormal access port in sequence, and starting the docking channel between the current mobile point and at least one transfer point, wherein the transfer point is updated synchronously with the sub-database where the real data packet is located; transferring the real data packet from the storage of the current mobile point via the docking channel, and routing it to another adjacent mobile point in the mobile network via the transfer point; transmitting the real data packet corresponding to the mobile point to the management terminal via the mobile network.

[0051] Routing via transfer points specifically includes: prioritizing the establishment of a docking channel through the transfer point associated with the mobile point itself; if the docking channel of the transfer point is abnormal, then establishing a docking channel through a second transfer point configured by an adjacent mobile point or the management terminal and bound to the current mobile point; after the real data packet is successfully migrated through the transfer point, immediately disconnecting the controlled docking channel and resetting the logical state of the transfer point.

[0052] The steps for transmitting real data packets corresponding to mobile points to the management terminal based on the mobile network include: obtaining real data packets corresponding to multiple monitoring terminals at the same time node; mobile points in the mobile network synchronously carrying the corresponding real data packets and transmitting them in parallel in the corresponding transmission channels; binding all real data packets belonging to the same time node to form a multi-parameter association group; and storing the multi-parameter association group as a whole in the management terminal.

[0053] Specifically, parameter data collected from multiple monitoring points are configured with corresponding mobile points according to time nodes. Mobile points at the same time node are connected to form a mobile network. These mobile points, carrying corresponding types of parameter data, are then transmitted synchronously within the mobile network. This ensures that parameter data from different monitoring terminals at the same time node can be treated as a multi-parameter correlation group and input into the evaluation model within the management terminal for subsequent classification and evaluation. This guarantees that the data used by the evaluation model belongs to the same time node collected, thus ensuring the accuracy of the classification and evaluation of the target coal seam. During synchronous transmission, if an abnormal transmission channel exists, the identifier of the sub-database corresponding to the real data packet on the abnormal transmission channel is exchanged with the identifier of the sub-database corresponding to other false data packets. Simultaneously, the identifier of the other false data packets is... The sub-database is connected to the access source. During the exchange, a temporary connection channel is established between the transfer point and the sub-database containing the real data packet. The real data packet is transferred to the transfer point through the connection channel. The transfer point then transmits the real data packet to other mobile points adjacent to the current mobile point, using the transmission channels of these other mobile points for data transmission. At the same time, the monitoring end corresponding to the real data packet is marked for subsequent parameter source differentiation at the management end, ensuring the accuracy of classification and evaluation. In case of anomalies in the transmission channel, the real data packet is transferred to other transmission channels to ensure the security of data transmission. Multiple types of parameters collected at the same time point are simultaneously transmitted to the management end for classification and evaluation, ensuring that the evaluation parameters are from the same time point, thereby improving the accuracy of the evaluation of the target coal seam at that time point.

[0054] The steps for evaluating the target coal seam based on the management terminal to obtain the evaluation value include: obtaining the multi-parameter correlation clusters received by the management terminal; constructing and deploying the coal seam evaluation model on the management terminal, and inputting the multi-parameter correlation clusters into the evaluation model; and evaluating the state of the target coal seam at the current time point based on the evaluation model to obtain the evaluation value.

[0055] Specifically, the construction and deployment of the coal seam evaluation model on the management side includes: acquiring and defining an evaluation parameter system, which should include at least: multiple geological parameters selected from: coal seam thickness, coal seam depth, coal seam gas content, coal seam permeability, and coal seam porosity; and multiple engineering parameters selected from: fracturing volume and drainage rate. For each target coal seam sample, a comprehensive evaluation value is generated through weighted calculation based on its geological and engineering parameters. A large amount of coalbed methane reservoir sample data with known category identifiers is collected, including corresponding geological and engineering parameters. A comprehensive evaluation value is generated through weighted calculation of the sample data. The category identifier is used to characterize reservoir quality or development potential. The evaluation model is constructed by determining the comprehensive evaluation value range corresponding to each category identifier based on the force level. Based on this range, multiple continuous or discontinuous threshold intervals are defined, with each threshold interval explicitly and uniquely mapped to a category identifier. This solidifies the evaluation parameter system, comprehensive evaluation value calculation rules, and threshold intervals to build a coal seam evaluation model. The model is used to: calculate the comprehensive evaluation value of a new target coal seam and directly determine its category identifier based on the threshold interval into which the value falls. The weighted calculation specifically assigns weight coefficients to each geological and engineering parameter, with the comprehensive evaluation value V_composite = Σ(parameter value_i × weight coefficient_i).

[0056] The evaluation model based on multi-parameter correlation clusters is used to evaluate the specific content of the evaluation. The parameter types in the multi-parameter correlation clusters include geological parameters: X1: coal seam thickness (m), X2: gas content (m³ / t), X3: permeability (mD); engineering parameters: X4: current pressure (MPa), X5: frequency of microseismic events (times / hour), X6: gas emission velocity (L / min). The analytic hierarchy process (AHP) is used (inviting experts in the field to compare the importance of each parameter pairwise, constructing a judgment matrix, and calculating the eigenvector to obtain the weight) to determine the weight of each parameter, W=[w1, w2, ..., w6], and Σwi=1; a linear weighted sum model is adopted, V=Σ(w_i*S_i), where V is the comprehensive evaluation value (0-100), w_i is the weight of the i-th parameter, and S_i is the normalized score of the parameter. The comprehensive evaluation value V is calculated based on a large amount of historical data, combined with historical disaster records or expert experience, to divide the evaluation level threshold range. For example: Class I (Stable / High Quality): 80≤V≤100; Class II (Attention / Medium): 60≤V<80; Class III (Warning / Poor): 40≤V<60; Class IV (Dangerous / Poor): V<40; The {parameter set, weight set, normalization rule, scoring algorithm, level threshold} are solidified into an executable weighted evaluation model; The model receives the multi-parameter correlation cluster of the current synchronization time window T_k, parses out the parameter values ​​{X1_j, X2_j, ..., X6_j} corresponding to each moving point j, and aggregates the parameters of multiple moving points into a value that can represent the entire region. For example, the average value method: X_i_region = (ΣX_i_j) / M (M is the total number of moving points). This is applicable to uniform regions. A set of parameter values ​​representing the entire target coal seam is obtained: {X1_region, X2_region, ..., X6_region}. The region-representative parameter value X_i_region is substituted into the model to obtain the scores S_i for each item. A weighted summation algorithm is executed to calculate the comprehensive evaluation value V_k at the current time T_k. Based on the threshold range where V_k is located, the evaluation level is determined and output (e.g., "Class II - Attention").

[0057] S3: Match the evaluation value with multiple threshold intervals, and determine the category identifier of the target coalbed methane reservoir based on the matching results;

[0058] The steps of matching the evaluation value with multiple threshold intervals and determining the category identifier of the target coalbed methane reservoir based on the matching results include: obtaining the evaluation value of the target coalbed methane reservoir; pre-setting multiple threshold intervals, each threshold interval corresponding to a specific category identifier, which is used to distinguish coalbed methane reservoirs of different quality, development potential, or development difficulty; matching the obtained evaluation value of the target coalbed methane reservoir with multiple threshold intervals, specifically determining which threshold interval the evaluation value falls into, and determining the category identifier corresponding to the target coalbed methane reservoir based on the matching results;

[0059] Specifically, various geological parameters include, but are not limited to, coal seam thickness, coal seam burial depth, coal seam gas content, coal seam permeability, and coal seam porosity; engineering parameters include, but are not limited to, fracturing volume and drainage rate; and comprehensive indicators are comprehensive evaluation parameters obtained by weighted calculation or other mathematical operations of geological and engineering parameters.

[0060] The method for pre-setting multiple threshold intervals is as follows: collect a large amount of sample data of coalbed methane reservoirs with known category identifiers, including the corresponding evaluation values; analyze the sample data, and determine the evaluation value range corresponding to each category identifier based on the distribution of evaluation values ​​under different category identifiers; based on the determined evaluation value range, divide multiple threshold intervals, each threshold interval clearly corresponding to a category identifier, including but not limited to high-quality reservoirs, medium-quality reservoirs, poor-quality reservoirs, or high-potential reservoirs, medium-potential reservoirs, low-potential reservoirs, or easy-to-develop reservoirs, medium-difficulty reservoirs, and difficult-to-develop reservoirs.

[0061] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0062] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A multi-parameter based coalbed methane reservoir classification and evaluation method, characterized in that, The method comprises the following steps: determining a target coal seam and at least two types of reservoir parameters to be collected, deploying a collection terminal corresponding to each type of reservoir parameter in the target coal seam; deploying a server on the ground, establishing a transmission network between the collection terminal and the management terminal based on the server registration management terminal; the step of establishing a transmission network between the collection terminal and the management terminal comprises: registering each collection terminal to the corresponding monitoring terminal, and establishing a transmission channel between each monitoring terminal and the management terminal; setting a moving point sequence arranged in time sequence for each monitoring terminal, wherein the moving point is used to store parameter data of a specific time node; for the same time node, in the moving point sequence of different monitoring terminals, the communication connection between the moving points corresponding to the same time node is established, forming a plurality of moving networks corresponding to different time nodes; for each moving point in each moving network, configure a switching point, set a database for each moving point, and establish a data transfer rule between the database and the switching point; arranging the moving networks formed by the communication connection between the moving points corresponding to the same time node in different transmission channels in time sequence to obtain the transmission network; the step of configuring a switching point for each moving point in each moving network, setting a database for each moving point, and establishing a data transfer rule between the database and the switching point comprises: dividing the database to obtain a plurality of communication connection sub-databases, setting a real data packet and a plurality of false data packets, and storing the real data packet and each false data packet in different sub-databases respectively; constructing a dynamic position transformation rule centered on the sub-database where the real data packet is located; for each moving point, configure a switching point, and establish an association relationship between the moving point and the switching point, wherein the association relationship includes the docking relationship between the moving point and the current switching point, and the binding relationship between the moving point and the switching points corresponding to adjacent moving points, and an docking channel is established between the moving point and the two switching points respectively; when it is monitored that there is an exception in the transmission channel where the current moving point is located, based on the dynamic position transformation rule, exchange the identifier of the sub-database corresponding to the real data packet on the abnormal transmission channel with the identifier of the sub-database corresponding to the other false data packet; based on the switching point, transfer the real data packet from the database of the current moving point to the adjacent moving point through the docking channel, and control the plurality of false data packets to be docked with the abnormal access port in turn; based on the collection terminal, collecting multi-parameter data of the target coal seam, based on the transmission network, transmitting the multi-parameter data to the management terminal, based on the management terminal, evaluating the target coal seam to obtain an evaluation value; matching the evaluation value with a plurality of threshold intervals, and determining the category identification of the target coal gas reservoir according to the matching result.

2. The method according to claim 1, characterized in that: the step of constructing a dynamic position transformation rule centered on the sub-database where the real data packet is located comprises: assigning an identifier to each sub-database, and assigning a virtual address associated with the logical position identifier of the current sub-database to the real data packet and each false data packet respectively; The dynamic mapping table is used to record real-time mapping relationships between the virtual address of the real data packet, the virtual address of each false data packet and the logical location identifier of all sub-database. When it is monitored that the transmission channel where the current mobile point is located has an exception, the dynamic mapping table is updated according to a predetermined strategy, and the logical address is exchanged.

3. The method according to claim 1, characterized in that: The step of transmitting the multi-parameter data to the management end based on the transmission network comprises: The multi-parameter data is collected by the monitoring end, and the corresponding mobile point and transfer point are allocated according to the collection time node, the parameter data of one monitoring end at one time node is encapsulated as a real data packet, and a plurality of false data packets are generated simultaneously; The real data packet and the false data packet are stored in different sub-databases respectively; when no abnormal access of the transmission channel is monitored, the real data packet is transmitted to the management end based on the transmission channel; When the transmission channel is monitored to have an abnormal access, the identifier of the sub-database of the real data packet at the current mobile point is exchanged with the identifier of the sub-database corresponding to any false data packet, and the plurality of false data packets are sequentially connected with the abnormal access port, and the docking channel between the current mobile point and at least one transfer point is started; The real data packet is transferred from the storage of the current mobile point based on the docking channel, and is routed to one other adjacent mobile point in the mobile network through the transfer point, and the real data packet corresponding to the mobile point is transmitted to the management end based on the mobile network.

4. The method according to claim 3, characterized in that: The step of transmitting the real data packet corresponding to the mobile point to the management end based on the mobile network comprises: The real data packets corresponding to the plurality of monitoring ends at the same time node are obtained, the mobile points in the mobile network synchronously carry the corresponding real data packets for parallel transmission in the corresponding transmission channel, and all real data packets belonging to the same time node are bound to form a multi-parameter association group, and the multi-parameter association group is stored as a whole in the management end.

5. The method of claim 1, wherein: The step of obtaining the evaluation value of the target coal seam based on the management end comprises: obtaining the multi-parameter association group received by the management end; constructing and deploying a coal seam evaluation model in the management end, and inputting the multi-parameter association group into the evaluation model; and evaluating the state of the target coal seam at the current time node based on the evaluation model to obtain the evaluation value.

6. The method of claim 1, wherein: The step of matching the evaluation value with a plurality of threshold intervals and determining the category identifier of the target coalbed methane reservoir according to the matching result comprises: The evaluation value of the target coalbed methane reservoir is obtained, a plurality of threshold intervals are preset, each threshold interval corresponds to a specific category identifier; the obtained evaluation value of the target coalbed methane reservoir is matched with the plurality of threshold intervals, and according to the matching result, the category identifier corresponding to the target coalbed methane reservoir is determined.

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