Full node seismic record acquisition fast field processing monitoring method

Abstract

The application provides a full node acquisition seismic record rapid field processing monitoring method, which comprises the following steps: step 1, a processing scheme is established in advance, a standardized naming process is established, and processing parameters are determined; step 2, a standardized data naming and operation management mode is designed according to the actual situation of a work area; step 3, a block observation system is established, conventional monitoring is performed, and beam merging and stacking are carried out; step 4, quantitative statistical analysis is performed, and integrated information feedback is carried out; step 5, an auxiliary trace head is set, rapid monitoring data extraction is carried out by using the auxiliary trace head, and the monitoring process is assisted; and step 6, monitoring results and a monitoring profile are obtained. The full node acquisition seismic record rapid field processing monitoring method meets the needs of rapid field construction, reduces the workload of field monitoring personnel, saves labor and cost, and accelerates the overall monitoring progress.

Description

Technical Field

[0001] This invention relates to the field of field processing and monitoring technology for seismic data acquisition in oilfields, and in particular to a rapid field processing and monitoring method for seismic records acquired at all nodes. Background Technology

[0002] With the continuous development of nodal geophone sensitivity, various models of nodal geophones have been produced, and full-node seismic data acquisition in field work areas has been widely used. The monitoring of nodal seismic data has also attracted widespread attention. In actual monitoring, it has been found that in order to accelerate acquisition and improve efficiency, a patchwork block observation system is adopted. This system breaks the concept of bundle lines, with file numbers randomly distributed across bundle lines, making the monitoring process more complex. In addition, nodal seismic data has the following characteristics: huge data volume; complex data types; inconsistent data retrieval pace; severe data clustering; numerous monitoring contents; and a large number of shots involved in a full profile. In terms of processing technology, outdated monitoring techniques cannot meet the requirements of massive data volumes. Qualitative checks involving each shot are time-consuming and labor-intensive, and increase the error rate caused by human factors. The patchwork observation system has irregular shot placement, requires a large span of file numbers for a full profile, and results in a large and time-consuming observation system. This field acquisition method is fast, but the feedback of on-site monitoring results is outdated. In response to the situation where node data collection is fast but the on-site processing and monitoring results feedback methods are outdated, there is an urgent need to develop a new method for rapid on-site processing and monitoring of node data collection. This would meet the needs of rapid field construction, reduce the workload of on-site monitoring personnel, and save manpower and costs.

[0003] Chinese patent application No. 201810601389.3 discloses a node acquisition area server, a distributed monitoring method, and a system. This invention provides a node acquisition area server, a distributed monitoring method, and a system. The distributed monitoring method includes: a node acquisition area server receiving network element information sent by a Field Monitoring Unit (FSU), wherein the region where the FSU is located corresponds to the node acquisition area server, and the node acquisition area server is a node acquisition area server in a distributed monitoring system. The distributed monitoring system includes a central domain server and at least one node acquisition area server. The node acquisition area server determines the classification of the network element information and, based on the classification, sends the network element information to the central domain server or stores it locally. This invention can reduce the pressure on the central domain server and improve the data processing efficiency of the central domain server.

[0004] The paper "Application and Effect of Wireless Node Acquisition Technology in Seismic Exploration in Complex Surface Areas of Eastern China" introduces a work area that uses wireless nodes—which are not constrained by terrain features, can receive data autonomously and continuously, and whose acquisition arrangement can be flexibly defined indoors—in conjunction with controllable source high-efficiency excitation technology. This enables efficient 3D seismic acquisition in complex surface areas, thereby shortening the seismic acquisition period and alleviating the pressure of seismic exploration costs. However, the paper only mentions the single-shot energy and deviation aspects of on-site processing and monitoring, without providing detailed descriptions or proposing any rapid on-site processing and monitoring methods.

[0005] The paper "Application of GSR Wireless Node Acquisition Technology in Seismic Exploration" analyzes application examples of GSR wireless node technology in seismic exploration projects, objectively evaluates the advantages and disadvantages of GSR acquisition instruments, and summarizes the advantages and applicable characteristics of GSR node equipment, providing valuable experience for future field application. However, the paper only mentions GSR clock drift checking in quality control and does not propose related rapid on-site handling and monitoring methods.

[0006] The paper "Application of GSR Wireless Node Acquisition Technology in Petroleum Geophysical Exploration" elucidates the principles of GSR wireless node acquisition technology and discusses its application in the field of petroleum geophysical exploration. Analysis results show that while GSR wireless node acquisition instruments are stable and widely applicable, they are prone to causing the loss of single-channel information in petroleum geophysical acquisition.

[0007] The document "Quality Control and Field Processing Technology of Wireless Node GSR" mainly introduces the differences between the field processing procedure of nodes and conventional data acquisition, taking GSR node data as an example. However, it does not propose any rapid field processing and monitoring methods.

[0008] The existing technologies described above are significantly different from our invention and have failed to solve the technical problem we want to address. Therefore, we have invented a new method for rapid on-site processing and monitoring of seismic records acquired at all nodes. Summary of the Invention

[0009] The purpose of this invention is to provide a rapid on-site processing and monitoring method for all-node acquired seismic records, enabling rapid on-site processing and monitoring of node-acquired data.

[0010] The objective of this invention can be achieved through the following technical measures: a rapid on-site processing and monitoring method for seismic records acquired at all nodes, comprising:

[0011] Step 1: Establish a processing plan in advance, set up a standardized naming process, and determine the processing parameters;

[0012] Step 2: Design a standardized data naming and operation management model based on the actual situation of the work area;

[0013] Step 3: Establish a segmented observation system, perform routine monitoring, and perform bundle merging and overlay.

[0014] Step 4: Conduct quantitative statistical analysis and integrate information feedback;

[0015] Step 5: Set up auxiliary track heads to quickly extract monitoring data and assist in the monitoring process;

[0016] Step 6: Obtain monitoring results and monitoring profile.

[0017] The objective of this invention can also be achieved through the following technical measures:

[0018] In step 1, a standardized naming process is established based on the work area name, and static correction, noise reduction, and speed parameter range determination are performed in advance using test and surrounding data.

[0019] Step 2 includes:

[0020] Step 21: Standardize and format the obtained data;

[0021] Step 22: Perform standardized naming;

[0022] Step 23, set the template survey lines.

[0023] In step 21, the obtained data is standardized and arranged. Three parallel work areas are established based on efficient acquisition. The raw data is stored in one work area; data checking and data extraction are listed separately in one work area; the survey lines are established in principle based on the number of times the data is collected; and the profiles are superimposed in one work area. The bundle lines are numbered according to the data collection rhythm and construction progress.

[0024] In step 22, standardized naming is performed. The original data is named after the starting file number, and the data are arranged in order of file number size. The naming of the output data should follow the processing procedure.

[0025] In step 23, a template survey line is set. The template survey line includes parameters such as the observation system grid, reference stacking rate, and reference time window. The provided stacking rate and time window parameters can meet the needs of preliminary data inspection.

[0026] Step 3 includes:

[0027] Step 31: Establish an observation system based on the collected data and SPS data, conduct routine daily inspections, and report any problematic shots such as those with noise, low frequency, or weak energy to the construction team for disposal. Then, based on the unified grid for the entire area, extract observation data from fixed locations for later data processing, and use the elimination method to exclude discarded shots during data extraction.

[0028] Step 32: After extracting the data, list the data inline range and initially overlay it. The list of starting ranges for the inline numbers is mainly for determining the data selection range in the later merging process.

[0029] Step 33: After the profile data reaches full count, the bundled data is combined and superimposed. This step only extracts observation system information from the extracted CMP data and does not include information from other observation systems, which reduces the amount of observation system data. The simultaneous generation of several bundles of profile data improves processing efficiency.

[0030] Step 4 includes:

[0031] Step 41: Perform rapid quantitative statistical analysis;

[0032] Step 42: Perform signal-to-noise ratio statistics and air channel statistics;

[0033] Step 43 involves integrating and feeding back the statistical information, replacing the conventional method of manually filling out feedback cards.

[0034] In step 41, abnormal file numbers such as weak energy and noise are filtered out through automatic energy statistics; after the statistics are completed, the abnormal file numbers composed of noise and weak energy are output; low-frequency guns, high-frequency guns and frequency anomalies are filtered out through frequency statistics to determine the degree of influence of external interference sources on a single gun; the monitoring results are verified using common detector points and common offset gathers.

[0035] In step 42, the air channel statistics mainly count the energy of each channel. After filtering out the zero-value channels, the total number of air channels per shot is counted, and the total number of air channels per shot, air channel station number and channel number are output.

[0036] Step 5 includes:

[0037] Step 51, set the auxiliary track head, and the track head lettering for the cable bundle;

[0038] Step 52, set the relative order of the first characters;

[0039] Step 53: Use the auxiliary track head to quickly extract data of a certain bundle or data arranged in the far, middle and near ranges to assist in monitoring.

[0040] In step 51, the auxiliary track header is set, and the track header number is:

[0041] SWATH = Int(S_LINE - W) / (R * Y) + 1

[0042] Int is the rounding operator, S_LINE is the shot line number, R is the number of shot lines per bundle, Y is the shot line increment, and W is the starting shot line number. The data body of a certain bundle number is quickly extracted based on these parameters.

[0043] In step 52, set the relative order of the first character: Z = R_LINE - (SWATH - 1) * X * Y

[0044] After calculation using this formula, the arrangement number of each bundle line is exactly the same as that of the first bundle line; in the formula, R_LINE is the actual arrangement number, SWATH is the bundle line number, X is the number of rolling arrangements per bundle line, and Y is the arrangement increment; far, middle and near arrangement data are extracted based on this parameter.

[0045] The rapid on-site processing and monitoring method for all-node acquired seismic records in this invention provides a means for rapid on-site processing and monitoring of node-acquired data. This method solves the problem of irregular distribution of file numbers across bundle lines during acquisition, which complicates the processing and monitoring process. During monitoring, the connection between the bundled observation system and the segmented observation system—a unified grid across the entire work area—is utilized to extract information from the bundled observation system. Data from the bundled observation system is used to monitor the overlay profile, while the segmented observation system is used for routine checks and CMP data extraction. This method significantly reduces the time required to load all observation system information using the full data, thus improving monitoring efficiency. In addition, to address the issues of massive data volume, complex data types, uncertain data retrieval timeliness, and severe data clustering at nodes, the initial approach adopted a method of quantitative statistical analysis of single-shot data from a segmented observation system to monitor energy, frequency, and signal-to-noise ratio. Simultaneously, auxiliary monitoring and inspection were conducted using common receiver gathers and common offset gathers. Later, designed auxiliary beamline parameters were used to rapidly extract data for full-span beamline overlay profile monitoring. Furthermore, designed auxiliary lead-out tools were used to quickly extract relevant data for the daily analysis needs of construction workers, meeting the requirements of rapid field construction, reducing the workload of on-site monitoring personnel, saving labor costs, and accelerating the overall monitoring progress. Attached Figure Description

[0046] Figure 1 This is a flowchart of a specific embodiment of the rapid on-site processing and monitoring method for full-node acquisition seismic records of the present invention;

[0047] Figure 2 This is a quantitative statistical analysis chart of a energy and b frequency in a specific embodiment of the present invention;

[0048] Figure 3 This is a gather diagram of common detector point a and common offset point b in a specific embodiment of the present invention;

[0049] Figure 4 In a specific embodiment of the present invention, a) is a data graph of the far-to-near offset distance extracted using an auxiliary trackhead tool, and b) is a data graph of the near offset distance extracted using an auxiliary trackhead tool. Detailed Implementation

[0050] It should be noted that the following detailed descriptions are exemplary and intended to provide further illustration of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0051] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments of the present invention. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, and / or combinations thereof.

[0052] To address the challenges of complex data and low timeliness in on-site monitoring and processing, this invention incorporates a block-based observation system during construction and designs a streamlined approach to obtain rapid on-site monitoring and processing results. The proposed rapid on-site monitoring and processing method is characterized by its simple and clear workflow and its ability to meet construction requirements.

[0053] like Figure 1 As shown, Figure 1 This is a flowchart of a specific embodiment of the rapid on-site processing and monitoring method for all-node acquired seismic records of the present invention. The rapid on-site processing and monitoring method for all-node acquired seismic records of the present invention may include: (a) establishing a processing plan in advance, establishing a standardized naming process, and determining processing parameters; (b) designing a standardized data naming and operation management mode based on the actual conditions of the work area; (c) establishing a segmented observation system, performing routine monitoring, and merging and overlaying data; (d) performing quantitative statistical analysis and integrating information feedback; (e) setting up auxiliary track heads and using them for rapid monitoring data extraction to assist the monitoring process; and (f) obtaining monitoring results and monitoring profiles.

[0054] The following are specific embodiments of the application of the present invention.

[0055] Example 1

[0056] In a specific embodiment 1 of the present invention, for a certain work area, the present invention includes the following steps:

[0057] Step (a) Establish a treatment plan in advance, set up a standardized naming process, and determine the treatment parameters. Establish a standardized naming process based on the work area name, and use experimental and surrounding data in advance to determine the range of static correction, noise reduction, and speed parameters.

[0058] Step (b) involves designing standardized data naming and operation management based on the characteristics of the work area. Step (b 1) involves standardizing the obtained data and establishing three parallel work areas based on efficient data acquisition. The raw data is stored in one work area; data checking and data extraction are listed separately in another work area; the survey lines are established based on the number of times data is collected; and the overlay of profiles is considered as another work area. The bundle lines are numbered according to the data collection rhythm and construction progress.

[0059] Step (b2) involves standardized naming. The original data is named after the starting file number, and the data are arranged in order of file number size. The naming of the output data should follow the processing procedure.

[0060] Step (b3) sets up template survey lines. The template survey lines include parameters such as the observation system grid, reference stacking rate, and reference time window. The provided stacking rate, time window, and other parameters can meet the needs of preliminary data inspection.

[0061] Step (c1): Establish an observation system based on the collected data and SPS data, conduct routine daily inspections, and report any problematic shots such as those with noise, low frequency, or weak energy to the construction team for disposal. Then, based on the unified grid for the entire area, extract observation data from fixed locations for later data processing, and use the elimination method to exclude discarded shots during data extraction.

[0062] Step (c2) involves extracting the data, listing the inline range, and initially overlaying it. The starting range list of inline numbers is mainly used to determine the data selection range for later merging processing.

[0063] Step (c3) involves bundling and stacking the profile data after it has reached full count. This step extracts observation system information only from the extracted CMP data and does not include information from other observation systems, thus reducing the amount of observation system data. It also allows for the simultaneous generation of profiles from several bundles, improving processing efficiency.

[0064] Step (d1) involves rapid quantitative statistical analysis. Through automatic energy statistics, abnormal file numbers such as those with weak energy or noise are filtered out. After statistical completion, these abnormal file numbers (noise, weak energy, etc.) are output. Frequency statistics are used to filter out low-frequency and high-frequency guns, as well as frequency anomalies, to determine the degree of influence of external interference sources on a single gun. The monitoring results are verified using common detector points and common offset gathers.

[0065] Step (d2) involves performing signal-to-noise ratio (SNR) statistics and air channel statistics. Air channel statistics mainly involve calculating the energy of each channel. After filtering out channels with zero values, the total number of air channels per shot is calculated, and the total number of air channels per shot, the air channel station number, and the channel number are output.

[0066] Step (d3) integrates and feeds back the statistical information, replacing the conventional method of manually filling out feedback cards;

[0067] Step (e1), set the auxiliary track header, and specify the track header number:

[0068] SWATH = int(S_LINE - W) / (R * Y) + 1

[0069] Int is the rounding operator, S_LINE is the shot line number, R is the number of shot lines per bundle, Y is the shot line increment, and W is the starting shot line number. The data body of a certain bundle number is quickly extracted based on these parameters.

[0070] Step (e2), set the relative order of the first character, Z = R_LINE - (SWATH - 1) * X * Y

[0071] After calculation using this formula, the arrangement number of each bundle line is exactly the same as that of the first bundle line. In the formula, SWATH is the bundle line number, X is the number of rolling arrangements per bundle line, and Y is the arrangement increment. Based on these parameters, far, middle, and near arrangement data are extracted.

[0072] Step (e3) uses an auxiliary track head to quickly extract data of a certain bundle or data arranged in a far-to-near distance for auxiliary monitoring.

[0073] Step (f1) involves providing feedback on the monitoring results and outputting the monitoring profile.

[0074] Example 2

[0075] In a specific embodiment 2 of the present invention, the rapid on-site processing and monitoring method for full-node acquisition seismic records of the present invention includes:

[0076] In step 101, a processing plan is established in advance, a standardized naming process is set up, and processing parameters are determined. A standardized naming process is established based on the work area name, and static correction, noise reduction, and the range of speed parameters are determined in advance using experimental and surrounding data.

[0077] In step 102, standardized data naming and operation management are designed according to the characteristics of the work area.

[0078] Step 102a standardizes and organizes the obtained data, establishes three parallel work areas based on efficient acquisition, stores the raw data in one work area, sets up a separate work area for data checking and extraction, establishes survey lines based on the number of times data is collected, and overlays profiles into one work area, and numbers the bundles according to the data collection rhythm and construction progress.

[0079] Step 102b involves standardized naming. The original data should be named after the starting file number, and the data should be arranged in order of file number. The naming of the output data should reflect the processing procedure.

[0080] Step 103 involves establishing a block-based observation system for the newly acquired data, performing routine monitoring, and merging and overlaying the data.

[0081] Step 103a: Establish an observation system based on the newly acquired data and SPS data, conduct routine daily inspections, and report any problematic shots (noise, low-frequency shots, weak energy shots) to the construction team for disposal. Then, based on the unified grid across the entire area, extract data from fixed locations for subsequent data processing. Problematic shots are eliminated using an elimination method when extracting and overlaying data.

[0082] Step 103b: After extracting the data, list the inline range and perform initial overlay. The list of inline starting ranges is mainly to determine the data selection range for later merging processing. The initial overlay mainly checks the correctness of the data and makes a simple confirmation of the construction quality. This step does not perform static correction, velocity analysis, noise reduction, or deconvolution processing; it only performs a simple initial overlay on the extracted raw data.

[0083] Step 103c: After the profile data reaches full count, the bundled data is combined and superimposed. This step only extracts observation system information from the extracted CMP data and does not include observation system information from other data, which reduces the amount of observation system data. The simultaneous generation of several bundles of profile data improves processing efficiency.

[0084] Step 104: Quantitative statistical analysis and integrated information feedback;

[0085] Step 104a involves automatically calculating energy levels to filter out abnormal file numbers such as those with weak energy or noise. After calculation, the abnormal file numbers (noise, weak energy, etc.) are output. Frequency statistics are used to filter out low-frequency and high-frequency guns, as well as frequency anomalies, to determine the degree of influence of external interference sources on a single gun. The monitoring results are verified using common detector points and common offset gathers.

[0086] Step 104b involves performing signal-to-noise ratio (SNR) statistics and air channel statistics. Air channel statistics mainly involve calculating the energy of each channel. After filtering out channels with zero values, the total number of air channels per shot is calculated, and the total number of air channels per shot, the air channel station number, and the channel number are output.

[0087] Step 104c: Integrate and provide feedback on the statistical information, replacing the conventional method of manually filling out feedback cards;

[0088] Step 105: Set the auxiliary track head.

[0089] Step 105a, set the auxiliary track head, track head lettering for the cable bundle:

[0090] SWATH = int(S_LINE - W) / (R * Y) + 1

[0091] Int is the rounding operator, S_LINE is the shot line number, R is the number of shot lines per bundle, Y is the shot line increment, and W is the starting shot line number. The data body of a certain bundle number is quickly extracted based on these parameters.

[0092] Step 105b, set the relative order of the first character, Z = R_LINE - (SWATH - 1) * X * Y

[0093] After calculation using this formula, the arrangement number of each bundle line is exactly the same as that of the first bundle line. In the formula, SWATH is the bundle line number, X is the number of rolling arrangements per bundle line, and Y is the arrangement increment. Based on these parameters, far, middle, and near arrangement data are extracted.

[0094] Step 105c: Based on the auxiliary track head, quickly extract a certain bundle line and far, medium and near offset data for monitoring.

[0095] Step 106: Feedback on monitoring results and output of monitoring profile.

[0096] Example 3

[0097] In a specific embodiment 3 of the present invention, the present invention includes the following steps:

[0098] In step 101, a processing plan is established in advance, a standardized naming process is set up, and processing parameters are determined. A standardized naming process is established based on the work area name, and static correction, noise reduction, and the range of speed parameters are determined in advance using experimental and surrounding data.

[0099] In step 102, standardized data naming and operation management are designed according to the characteristics of the work area.

[0100] Step 102a standardizes and organizes the obtained data, establishes three parallel work areas based on efficient acquisition, stores the raw data in one work area, sets up a separate work area for data checking and extraction, establishes survey lines based on the number of times data is collected, and overlays profiles into one work area, and numbers the bundles according to the data collection rhythm and construction progress.

[0101] Step 102b involves standardized naming. The original data should be named after the starting file number, and the data should be arranged in order of file number. The naming of the output data should reflect the processing procedure.

[0102] Step 103 involves establishing a block-based observation system for the newly acquired data, performing routine monitoring, and merging and overlaying the data.

[0103] Step 103a: Establish an observation system based on the newly acquired data and SPS data, conduct routine daily inspections, and report any problematic shots (noise, low-frequency shots, weak energy shots) to the construction team for disposal. Then, based on the unified grid across the entire area, extract data from fixed locations for subsequent data processing. Problematic shots are eliminated using an elimination method when extracting and overlaying data.

[0104] Step 103b: After extracting the data, list the inline range of the data and initially overlay it. The list of starting inline ranges is mainly for determining the data selection range in the later merging process.

[0105] Step 103c: After the profile data reaches full count, the bundled data is combined and superimposed. This step only extracts observation system information from the extracted CMP data and does not include observation system information from other data, which reduces the amount of observation system data. The simultaneous generation of several bundles of profile data improves processing efficiency.

[0106] Step 104: Quantitative statistical analysis and integrated information feedback;

[0107] Step 104a involves automatically calculating energy levels to filter out abnormal file numbers such as those with weak energy or noise. After calculation, the abnormal file numbers (noise, weak energy, etc.) are output. Frequency statistics are used to filter out low-frequency and high-frequency guns, as well as frequency anomalies, to determine the degree of influence of external interference sources on a single gun. For example... Figure 2 Figure a shows the quantitative statistical energy distribution of a single shot, and figure b shows the quantitative statistical frequency variation of a single shot. This quantitative method can directly identify abnormal single shots. The monitoring results are verified using common receiver points and common offset gathers (e.g.,...). Figure 3 ).

[0108] Step 104b involves performing signal-to-noise ratio (SNR) statistics and air channel statistics. Air channel statistics mainly involve calculating the energy of each channel. After filtering out channels with zero values, the total number of air channels per shot is calculated, and the total number of air channels per shot, the air channel station number, and the channel number are output.

[0109] Step 104c involves integrating and feeding back the statistical information, replacing the conventional method of manually filling out feedback cards; based on the quantitative statistical results, Table 1 can be output, which provides statistical output of various types of information for abnormal single shots.

[0110] Table 1 Airway Statistical Feedback Information Table

[0111]

[0112] Where ffid is the file number, chan is the channel number, srf_sloc is the detector station number, and r_line is the detector line number.

[0113] Step 105: Set the auxiliary track head.

[0114] Step 105a, set the auxiliary track head, track head lettering for the cable bundle:

[0115] SWATH = int(S_LINE - W) / (R * Y) + 1

[0116] Int is the rounding operator, S_LINE is the shot line number, R is the number of shot lines per bundle, Y is the shot line increment, and W is the starting shot line number. The data body of a certain bundle number is quickly extracted based on these parameters.

[0117] Step 105b, set the relative order of the first character, Z = R_LINE - (SWATH - 1) * X * Y

[0118] After calculation using this formula, the arrangement number of each bundle line is exactly the same as that of the first bundle line. In the formula, SWATH is the bundle line number, X is the number of rolling arrangements per bundle line, and Y is the arrangement increment. Based on these parameters, far, middle, and near arrangement data are extracted.

[0119] Step 105c: Based on the auxiliary guide, quickly extract a specific beamline and near / medium / far offset data for monitoring. Use the auxiliary guide to analyze the near / medium / far offset data of a single shot (e.g., Figure 4 a) and the output of corresponding near offset data for different single guns (e.g.) Figure 4 b) Feedback is given to the construction worker for quality analysis of individual blasting units and corresponding monitoring is carried out.

[0120] Step 106: Feedback on monitoring results and output of monitoring profile.

[0121] Figure 2 Figure a shows the shot file number on the horizontal axis and the relative energy value of the corresponding single shot on the vertical axis; Figure b shows the shot file number on the horizontal axis and the relative frequency value of the corresponding single shot on the vertical axis.

[0122] Figure 3 Figure a shows the different channel numbers of the information received from the same detector point on the horizontal axis, and the vertical axis shows the time; Figure b shows the different channel numbers of the same offset information on the horizontal axis, and the vertical axis shows the time.

[0123] Figure 4 Figure a shows the different channel numbers of information received by a single shot at different offset distances on the horizontal axis, and the vertical axis shows time; Figure b shows the different channel numbers of near offset information received by different single shots on the horizontal axis, and the vertical axis shows time.

[0124] Finally, it should be noted that the above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

[0125] Except for the technical features described in the specification, all other technologies are known to those skilled in the art.

Claims

1. A method for rapid on-site processing and monitoring of seismic records acquired at all nodes, characterized in that: This method for rapid on-site processing and monitoring of seismic records acquired at all nodes includes: Step 1: Establish a processing plan in advance, set up a standardized naming process, and determine the processing parameters; Step 2: Design a standardized data naming and operation management model based on the actual situation of the work area; Step 3: Establish a segmented observation system, perform routine monitoring, and perform bundle merging and overlay. Step 4: Conduct quantitative statistical analysis and integrate information feedback; Step 5: Set up auxiliary track heads to quickly extract monitoring data and assist in the monitoring process; Step 6: Obtain monitoring results and monitoring profile.

2. The rapid on-site processing and monitoring method for all-node seismic records as described in claim 1, characterized in that, In step 1, a standardized naming process is established based on the work area name, and static correction, noise reduction, and speed parameter range determination are performed in advance using test and surrounding data.

3. The rapid on-site processing and monitoring method for all-node seismic records as described in claim 1, characterized in that, Step 2 includes: Step 21: Standardize and format the obtained data; Step 22: Perform standardized naming; Step 23, set the template survey line.

4. The rapid on-site processing and monitoring method for all-node seismic records as described in claim 3, characterized in that, In step 21, the obtained data is standardized and arranged. Three parallel work areas are established based on efficient acquisition. The raw data is stored in one work area; data checking and data extraction are listed separately in one work area; the survey lines are established in principle based on the number of times the data is collected; and the profiles are superimposed in one work area. The bundle lines are numbered according to the data collection rhythm and construction progress.

5. The rapid on-site processing and monitoring method for all-node seismic record acquisition according to claim 3, characterized in that, In step 22, standardized naming is performed. The original data is named after the starting file number, and the data are arranged in order of file number size. The naming of the output data should follow the processing procedure.

6. The rapid on-site processing and monitoring method for all-node seismic record acquisition according to claim 3, characterized in that, In step 23, a template survey line is set. The template survey line includes parameters such as the observation system grid, reference stacking rate, and reference time window. The provided stacking rate and time window parameters can meet the needs of preliminary data inspection.

7. The method for rapid on-site processing and monitoring of seismic records acquired at all nodes according to claim 1, characterized in that, Step 3 includes: Step 31: Establish an observation system based on the collected data and SPS data, conduct routine daily inspections, and report any problematic shots such as those with noise, low frequency, or weak energy to the construction team for disposal. Then, based on the unified grid for the entire area, extract observation data from fixed locations for later data processing, and use the elimination method to exclude discarded shots during data extraction. Step 32: After extracting the data, list the data inline range and initially overlay it. List the starting range of the inline number to determine the data selection range for later merging processing. Step 33: After the profile data reaches full count, the bundled data is combined and superimposed. This step only extracts observation system information from the extracted CMP data and does not include information from other observation systems, which reduces the amount of observation system data. The simultaneous generation of several bundles of profile data improves processing efficiency.

8. The rapid on-site processing and monitoring method for all-node seismic records as described in claim 1, characterized in that, Step 4 includes: Step 41: Perform rapid quantitative statistical analysis; Step 42: Perform signal-to-noise ratio statistics and air channel statistics; Step 43 involves integrating and feeding back the statistical information, replacing the conventional method of manually filling out feedback cards.

9. The method for rapid on-site processing and monitoring of seismic records acquired at all nodes according to claim 8, characterized in that, In step 41, abnormal file numbers such as weak energy and noise are filtered out through automatic energy statistics; after the statistics are completed, the abnormal file numbers composed of noise and weak energy are output; low-frequency guns, high-frequency guns and frequency anomalies are filtered out through frequency statistics to determine the degree of influence of external interference sources on a single gun; the monitoring results are verified using common detector points and common offset gathers.

10. The method for rapid on-site processing and monitoring of seismic records acquired at all nodes according to claim 8, characterized in that, In step 42, the energy of each channel is counted. Based on the zero-value channels, the total number of channels per shot is counted, and the total number of channels per shot, channel station number and channel number are output.

11. The method for rapid on-site processing and monitoring of seismic records acquired at all nodes according to claim 1, characterized in that, Step 5 includes: Step 51, set the auxiliary track head, and the track head lettering for the cable bundle; Step 52, set the relative order of the first characters; Step 53: Use the auxiliary track head to quickly extract data of a certain bundle or data arranged in the far, middle and near ranges to assist in monitoring.

12. The rapid on-site processing and monitoring method for all-node seismic record acquisition according to claim 11, characterized in that, In step 51, the auxiliary track header is set, and the track header number is: SWATH=Int(S_LINE-W) / (R*Y)+1 Int is the rounding operator, S_LINE is the shot line number, R is the number of shot lines per bundle, Y is the shot line increment, and W is the starting shot line number. The data body of a certain bundle number is quickly extracted based on these parameters.

13. The rapid on-site processing and monitoring method for all-node seismic record acquisition according to claim 11, characterized in that, In step 52, set the relative order of the first character: Z = R_LINE - (SWATH - 1) * X * Y After calculation using this formula, the arrangement number of each bundle line is exactly the same as that of the first bundle line; in the formula, R_LINE is the actual arrangement number, SWATH is the bundle line number, X is the number of rolling arrangements per bundle line, and Y is the arrangement increment; far, middle and near arrangement data are extracted based on this parameter.

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