CN114200544A - Vibroseis scanning efficiency evaluation method and device, electronic equipment and storage medium - Google Patents
Vibroseis scanning efficiency evaluation method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The application discloses a method and a device for evaluating the scanning efficiency of a controllable seismic source, electronic equipment and a storage medium, wherein the method comprises the following steps: the method comprises the steps of obtaining seismic source attribute data, QC data, effective shot-inspection point relation data and work area ground surface type parameter data, removing factors influencing efficiency due to ground surface types and instrument construction, obtaining a statistical result of effective scanning acquisition efficiency, a weighted value and actual scanning acquisition time, calculating to obtain more accurate scanning efficiency, improving accuracy of evaluating the scanning efficiency of constructors, and avoiding influence on production enthusiasm caused by unfair evaluation of the seismic source constructors due to misjudgment of efficiency.
Description
Technical Field
The application relates to the technical field of seismic surveying, in particular to a method and a device for evaluating scanning efficiency of a controllable seismic source, electronic equipment and a storage medium.
Background
The production purpose of the vibroseis high-efficiency scanning acquisition is to improve the production efficiency and reduce the cost to the maximum extent. In the field production process, dozens of controllable seismic sources are widely arranged in a work area, and the scanning efficiency among different seismic sources is greatly restricted by factors such as surface conditions, acquisition and construction parameters and the like. In the related technology, the scanning efficiency is evaluated by only taking the number of daily scanning production shots of each or every group of seismic sources as a standard, and the real scanning efficiency of the controllable seismic sources is difficult to objectively evaluate.
Disclosure of Invention
In order to solve the problems, the application provides a method and a device for evaluating the scanning efficiency of a controllable seismic source, an electronic device and a storage medium, after seismic source attribute data, QC data, effective shot inspection point relation data and work area earth surface type parameter data are obtained, factors influencing efficiency in various scanning processes are removed, the statistical result of effective scanning acquisition efficiency, a weighted value and actual scanning acquisition time are confirmed, and accurate scanning efficiency is calculated, so that the accuracy of efficiency evaluation is improved.
In a first aspect, an embodiment of the present application provides a method for evaluating scanning efficiency of a vibroseis, including: acquiring seismic source attribute data, QC data, effective shot-inspection point relation data and work area earth surface type parameter data; determining the total shot number of initial scanning and sampling of a target seismic source group based on the seismic source attribute data, and determining an effective scanning and collecting efficiency statistical result of the target seismic source group based on the effective shot-geophone point relation data and the total shot number of initial scanning and sampling; acquiring scanning time data of the target seismic source group at a target acquisition shot point based on the QC data; confirming historical average scanning time data of the target collection shot point based on the work area earth surface type parameter data; determining a weight value based on the scan time data and historical average scan time data; acquiring first time data of the scanning device from starting to readiness and second time data of the scanning device from starting to scanning based on the QC data, and determining actual scanning acquisition time based on the first time data and the second time data parameters; and calculating the scanning efficiency based on the effective scanning acquisition efficiency statistical result, the weighted value and the actual scanning acquisition time.
In a second aspect, an embodiment of the present application provides an air conditioning control apparatus, including: and the acquisition module is used for acquiring seismic source attribute data, QC data, effective shot-check point relation data and work area earth surface type parameter data. The first determination module is used for determining the total shot number of initial scanning and sampling of the target seismic source group based on the seismic source attribute data, and determining the effective scanning and collecting efficiency statistical result of the target seismic source group based on the effective shot-geophone point relation data and the total shot number of initial scanning and sampling. The second determination module is used for acquiring scanning time data of the target seismic source group at a target acquisition shot point based on the QC data; confirming historical average scanning time data of the target collection shot point based on the work area earth surface type parameter data; determining a weight value based on the scan time data and historical average scan time data. And the third determining module is used for acquiring first time data from the starting of the scanning device to the readiness and second time data from the starting of the scanning device to the starting of scanning based on the QC data, and determining the actual scanning acquisition time based on the first time data and the second time data parameters. And the calculating module is used for calculating the scanning efficiency based on the effective scanning acquisition efficiency statistical result, the weight value and the actual scanning acquisition time.
In a third aspect, an embodiment of the present application provides an electronic device, including: at least one processor and memory;
the processor is configured to execute a computer program stored in the memory to implement a method for evaluating scanning efficiency of a vibroseis as described in any embodiment of the first aspect.
In a fourth aspect, embodiments of the present application provide a computer storage medium, where one or more programs are stored, and the one or more programs may be executed by an electronic device as described in the third aspect, so as to implement a method for evaluating scanning efficiency of a vibroseis as described in any embodiment of the first aspect.
According to the method and the device for evaluating the scanning efficiency of the controllable seismic source, the electronic equipment and the storage medium, after seismic source attribute data, QC data, effective shot inspection point relation data and work area ground surface type parameter data are obtained, factors influencing efficiency in ground surface type and instrument construction are removed, the statistical result of effective scanning acquisition efficiency, the weighted value and the actual scanning acquisition time are obtained, more accurate scanning efficiency is obtained through calculation, and accuracy of evaluation on the scanning efficiency of constructors is improved.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present application, nor do they limit the scope of the present application. Other features of the present application will become apparent from the following description.
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The present application will be described in more detail below on the basis of embodiments and with reference to the accompanying drawings.
Fig. 1 is a schematic view of an application scenario of a vibroseis scanning efficiency evaluation method proposed in an embodiment of the present application;
fig. 2 is a schematic flow chart of a method for evaluating scanning efficiency of a vibroseis according to an embodiment of the present application;
fig. 3 is a schematic flow chart of step S130 of a vibroseis scanning efficiency evaluation method proposed in an embodiment of the present application;
fig. 4 shows a schematic flow chart of the vibroseis scanning efficiency evaluation step S140 in an embodiment of the present application;
fig. 5 shows a schematic flow chart of step S150 of a vibroseis scanning efficiency evaluation method proposed in an embodiment of the present application;
fig. 6 is a schematic flow chart of step S120 of a vibroseis scanning efficiency evaluation method proposed in an embodiment of the present application;
FIG. 7 is a schematic flow chart illustrating step S130 of a method for evaluating the scanning efficiency of a seismic source control system according to an embodiment of the present application;
fig. 8 is a block diagram illustrating a structure of a vibroseis scanning efficiency evaluation apparatus proposed in an embodiment of the present application;
FIG. 9 is a block diagram of an electronic device for performing a method for evaluating vibroseis scanning efficiency according to an embodiment of the present application;
fig. 10 illustrates a computer-readable storage medium proposed in an embodiment of the present application for storing or carrying a computer-readable storage medium for implementing a method for evaluating the scanning efficiency of a seismic source according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples and accompanying drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not meant to limit the present invention.
The technical solutions in the embodiments of the present application will be described below in a clear and complete manner with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the process of efficient scanning and acquisition of the controllable seismic source, the applicant researches and discovers that even if a seismic source operator is influenced by factors such as complex ground surface, restriction of construction equipment and the like even though the driving technology is skilled and the work is seriously responsible, the scanning efficiency is lower than that of other seismic source groups, if the seismic source operator is evaluated to be unqualified, misjudgment can occur, the enthusiasm of constructors can be influenced, and the later-stage production organization optimization can also be influenced.
In order to objectively and finely evaluate the efficient scanning and collecting efficiency of the vibroseis, the application provides a vibroseis scanning efficiency evaluation method which comprises the following steps: acquiring seismic source attribute data, QC data, effective shot-check point relation data and work area earth surface type parameter data, removing factors influencing efficiency due to earth surface type and instrument construction, determining the total shot number of initial scanning acquisition of a target seismic source group based on the seismic source attribute data, determining the statistical result of the effective scanning acquisition efficiency of the target seismic source group based on the effective shot-check point relation data and the total shot number of the initial scanning acquisition, and acquiring the scanning time data of the target seismic source group at a target acquisition shot point based on the QC data; confirming historical average scanning time data of the target collection shot point based on the work area earth surface type parameter data; and determining a weight value based on the scanning time data and the historical average scanning time data, acquiring first time data from the starting of the scanning equipment to the readiness and second time data from the starting of the scanning equipment to the beginning of scanning based on the QC data, determining actual scanning acquisition time based on the first time data and the second time data parameters, and calculating to obtain more accurate scanning efficiency, thereby improving the accuracy of evaluating the scanning efficiency of constructors and realizing the fair and objective evaluation of seismic source operators.
The following is introduced for an application scenario of the vibroseis scanning efficiency evaluation method provided by the embodiment of the application:
referring to fig. 1, fig. 1 is a schematic view of an application scenario of a method for evaluating scanning efficiency of a vibroseis provided in an embodiment of the present application, where the method for evaluating scanning efficiency of a vibroseis provided in the present application may be applied to a system 100 for evaluating scanning efficiency of a vibroseis, and the system 100 for evaluating scanning efficiency of a vibroseis may include an input module 10, a parameter extraction module 20, a data cleaning module 30, a surface type efficiency compensation module 40, a seismic source waiting time elimination module 50, and an output module 60. The vibroseis scanning efficiency evaluation system 100 is in communication connection with the electronic device 800, and the modules can transmit data with the electronic device 800 through a wired or wireless network. The input module 10 may include a single or a plurality of components, and may correspond to first data acquired by each construction equipment during the vibroseis scanning process and transmit the first data to the parameter extraction module 20. The parameter extraction module 20 may extract the key data in the first data to obtain second data, and send the second data to the data cleansing module 30. The data cleansing module 30 may remove invalid data in the second data to obtain third data, and send the third data to the surface type efficiency compensation module 40. The surface type efficiency compensation module 40 may perform compensation adjustment processing on the third data according to the surface factors to obtain fourth data, and send the fourth data to the seismic source latency culling module 50. The source latency culling module 50 may process the fourth data according to parameters of the scanning apparatus after receiving the ready signal to obtain fifth data. The output module 60 may process the data obtained by each module in sequence or directly transmit the data obtained by each module to the electronic device 800. The electronic device 800 processes the data according to the vibroseis scanning efficiency evaluation method provided by the application to obtain an accurate scanning efficiency evaluation output result, and for example, the electronic device 800 may be a smart phone, a smart band, a tablet computer, a desktop computer, a notebook computer, or a palm computer device.
Referring to fig. 2, fig. 2 is a schematic flow chart of a method for evaluating scanning efficiency of a vibroseis, which is applied to an electronic device and may include steps S110 to S150.
Step S110: and acquiring seismic source attribute data, QC data, effective shot-inspection point relation data and work area earth surface type parameter data.
In the embodiment of the application, the electronic device may acquire seismic source attribute file VAPS data acquired by the input module from a seismic instrument, extended QC file data from a vibroseis box, QC team acquisition effective SPS (shot-geophone point relationship) file data, and survey team acquisition work area earth surface type Q parameter data.
Step S120: and determining the total shot number of initial scanning and acquisition of the target seismic source group based on the seismic source attribute data, and determining the effective scanning and acquisition efficiency statistical result of the target seismic source group based on the effective shot-geophone point relation data and the total shot number of initial scanning and acquisition.
In this embodiment of the present application, the electronic device may obtain data processed by the data cleaning module 30, the data cleaning module 30 counts, scans, and acquires the total shot count according to the obtained attribute file VAPS data, and acquires valid SPS (shot-to-receiver point relationship) file data according to QC teams, and removes data of shot points that are invalid in the total shot count and are not in the SPS (shot-to-receiver point relationship) file to obtain a valid scanning acquisition efficiency statistical result, where the time of the statistical data may be a time period of the day, week, month, and the like, and this application does not limit this.
Step S130: acquiring scanning time data of the target seismic source group at a target acquisition shot point based on the QC data; confirming historical average scanning time data of the target collection shot point based on the work area earth surface type parameter data; determining a weight value based on the scan time data and historical average scan time data.
In the embodiment of the application, the electronic device obtains the coordinate information of the seismic source group TU2D time and the scanning acquisition shot point extracted from the extended QC data by the ground surface type efficiency compensation module 40, and retrieves the corresponding measurement ground surface type Q data by using the coordinate information. Illustratively, the Q data may be a small sand dune, a large sand dune, a gobi, a hill, a plain, a mountain area, an urban area, and the like. And combining historical data, different types of earth surface seismic sources have different moving speeds and corresponding TU2D, the earth surface conditions are better, the moving speed of the seismic source is high, and the TU2D time is short. Historical average scanning time data of a target collection shot point is confirmed through the work area earth surface type parameter data, and a weighted value is confirmed according to the historical average scanning time data and the scanning time data which are obtained through calculation.
Step S140: and acquiring first time data from the starting of the scanning device to the readiness and second time data from the starting of the scanning device to the starting of scanning based on the QC data, and determining the actual scanning acquisition time based on the first time data and the second time data parameters.
In the embodiment of the application, the electronic device extracts TD2R and TD2S parameters from the extended QC data according to the seismic source latency culling module 50, where TD2R represents the time when the seismic source flat plate falls to send out Ready signal, i.e. the first time data, and TD2S parameter represents the time when the seismic source flat plate falls to start scanning. According to the TD2R and TD2S parameters, the efficiency evaluation error caused by using instruments can be confirmed, and the actual scanning acquisition time can be confirmed.
Step S150: and calculating the scanning efficiency based on the effective scanning acquisition efficiency statistical result, the weighted value and the actual scanning acquisition time.
In the embodiment of the present application, the electronic device obtains the statistical result of the acquisition efficiency obtained by the processing of the data cleaning module 30, obtains the weighting value obtained by the processing of the surface type efficiency compensation module 40, and obtains the actual scanning acquisition time obtained by the processing of the seismic source waiting time eliminating module 50, and removes the factors affecting the efficiency by the table type and the factors affecting the efficiency by the instrument construction, so as to obtain the real and objective reflection of the seismic source scanning acquisition efficiency.
Referring to fig. 3, fig. 3 is a schematic flowchart of a step S130 of a method for evaluating scanning efficiency of a vibroseis, which is applied to an electronic device and may include steps S210 to S220.
Step S210: confirming a comparison result between the scan time data and historical average scan time data.
In the embodiment of the application, the electronic device obtains TU2D time extracted by a certain seismic source group in the earth surface type efficiency compensation module 40 and historical average value Mean _ TU2D, and compares TU2D time, i.e. scanning time data, with historical average scanning time data Mean _ TU2D to obtain a comparison result.
Step S220: confirming a weight value based on the comparison result.
In the embodiment of the application, in the comparison result, for example, when TU2D < Mean _ TU2D indicates that the seismic source moving time is short and better than the historical data, the group of scan acquisition efficiency is multiplied by the weight value, and when TU2D > Mean _ TU2D indicates that the seismic source moving time is long and worse than the historical data, the group of scan acquisition efficiency is multiplied by the weight value. Wherein, the comparison result is the following expression:
where α represents a weight value.
Referring to fig. 4, a flow chart of the step S140 of evaluating the scanning efficiency of the vibroseis in the embodiment of the present application is shown. Applied to the electronic device, the method may include steps S310 to S330.
Step S310: the waiting firing time of the scanning device is confirmed by subtracting the first time data from the second time data.
In the embodiment of the application, the electronic device performs difference calculation on the second time data TD2S and the first time data TD2R according to the seismic source waiting time eliminating module, the difference value between the two is Δ t, the Δ t indicates that the seismic source sends a Ready signal to the instrument and the instrument sends an excitation instruction to start scanning time interval, it should be noted that the smaller the Δ t, the shorter the seismic source waiting time is due to the control of the production parameters of the instrument, and in an ideal case, the smaller the Δ t is close to 0, that is, the seismic source sends a Ready signal, and the instrument receives a signal and immediately sends an excitation instruction to start scanning the seismic source. At this moment, the seismic source scanning acquisition efficiency is mainly influenced by the instrument construction parameters.
Illustratively, Δ t — TD2S-TD 2R.
Step S320: and acquiring the sum of the total production time of the target seismic source group and the waiting excitation time of all the scanning equipment in the target seismic source group.
In the embodiment of the application, the Total daily production time Total of the seismic source group is taken into consideration of the scanning acquisition efficiency constrained by construction parametersTSubtracting the sum of the delta t of all the N scanning excitation cannons in the group to obtain the waiting time delta t after the instrument construction TU2D parameter is deducted, and obtaining the Actual scanning acquisition time ActualT。
In an exemplary manner, the first and second electrodes are,
is the sum of the waiting excitation time of all the scanning devices in the target seismic source group.
Step S330: and subtracting the sum of waiting excitation time of all the scanning devices from the total production time to obtain actual scanning acquisition time.
Referring to fig. 5, a flow chart of the step S150 of evaluating the scanning efficiency of the vibroseis in the embodiment of the present application is shown. Applied to an electronic device, the method may include steps S410 to S420.
Step S410: and multiplying the statistical result of the effective scanning acquisition efficiency by the weight value to obtain a target acquisition amount.
In this embodiment, after obtaining the statistical result of the effective scanning acquisition efficiency of each seismic source group from which the waste cannon is deleted, the electronic device adjusts the statistical result data of the scanning acquisition efficiency according to the earth surface type efficiency compensation module to remove the influence of the earth surface on the scanning efficiency, so as to obtain the target acquisition quantity, that is, the exact number of acquired cannons.
Step S420: and obtaining the scanning efficiency based on the target acquisition amount divided by the actual scanning acquisition time.
In this embodiment, the electronic device divides the exact number of the acquired shots by the factor of the seismic source latency rejection module according to the influence of the instrument construction time to obtain the accurate actual scanning acquisition time, and calculates to obtain the accurate scanning efficiency.
Illustratively, the expression for the scan efficiency is:
C＝B*α/ActualT
wherein B is the statistical result of effective scan collection efficiency, alpha is the weighted value, ActualTIs the actual scan acquisition time.
Referring to fig. 6, a flow chart of the step S120 of evaluating the scanning efficiency of the vibroseis in the embodiment of the present application is shown. Applied to an electronic device, the method may include steps S510 to S520.
Step S510: and confirming invalid shot point data in the initial scanning collected shot number based on the valid shot point relation data.
Step S520: and confirming an effective scanning acquisition efficiency statistical result based on the fact that the invalid shot point data is subtracted from the initial scanning acquisition total shot number.
In the embodiment of the application, the extracted preliminary efficiency statistical results of the scanning and collecting of each seismic source group are compared with the effective SPS file, and the waste cannons which cannot be retrieved from the SPS file are removed from the preliminary efficiency statistical results to obtain the statistical results of the effective scanning and collecting efficiency of each seismic source group after the waste cannons are deleted.
Referring to fig. 7, a flow chart of the step S130 of evaluating the scanning efficiency of the vibroseis in the embodiment of the present application is shown. Applied to an electronic device, the method may include steps S610 to S620.
Step S610: and confirming each historical scanning time data corresponding to the target acquisition shot point.
Step S620: historical average scan time data is calculated based on the respective historical scan time data.
In the embodiment of the application, the electronic equipment acquires different earth surfaces corresponding to the target acquisition shot point, processes each historical scanning time data of the earth surface of the target shot point, and calculates historical average scanning time data according to each historical scanning time data.
Referring to fig. 1, a system 100 for evaluating the scanning efficiency of a vibroseis is shown, wherein each module performs the evaluation of the scanning efficiency of the vibroseis in the following manner.
In the input module 10, seismic source attribute file VAPS data is extracted from a seismic instrument, an expansion QC file is extracted from a vibroseis box, a QC team acquires an effective SPS (shot-geophone point relationship) file, and a measurement team acquires a work area surface type Q parameter and an instrument construction parameter.
In the parameter extraction module 20, all data enter the parameter extraction module 20 to perform key parameter extraction, and the number of the total shots acquired by the current day scanning of different seismic source groups is counted from the VAPS data of the seismic source attribute file according to the seismic source group number, so as to obtain the statistical result A of the initial efficiency acquired by the scanning of each seismic source group; extracting the time of a seismic source group TU2D, the coordinate information of a scanning acquisition shot point, the time TD2R and the time TD2S from the expanded QC data; and extracting the T-D parameters from the instrument construction parameters.
In the data cleaning module 30, comparing the extracted preliminary efficiency statistical result a of scanning and collecting of each seismic source group with the effective SPS file, and removing the waste cannons which cannot be retrieved from the SPS file from the result a to obtain a statistical result B of effective scanning and collecting efficiency of each seismic source group after the waste cannons are deleted;
in the earth surface type efficiency compensation module 40, according to the time for extracting the seismic source group TU2D and the coordinate information of the scanning acquisition shot point extracted by the parameter extraction module 20, the corresponding measured earth surface type Q data is retrieved by using the coordinate information. The statistical historical database different types of earth surfaces TU2D time obtain their Mean _ TU2D time. In the earth-type efficiency compensation module 40, the extracted TU2D time is compared with the historical average Mean _ TU2D, when TU2D is < Mean _ TU2D, the set of scan acquisition efficiencies is multiplied by a weight α (α >1), when TU2D is > Mean _ TU2D, the set of scan acquisition efficiencies is multiplied by a weight α (α <1), and when TU2D is Mean _ TU2D, the set of scan acquisition efficiencies is multiplied by a weight α (α is 1).
In the seismic source waiting time eliminating module 50, the scanning acquisition efficiency obtained in the earth surface type efficiency compensation module 40 after compensation and correction due to earth surface factors is used as the input of the seismic source waiting time eliminating module 50. The waiting time deltat after the seismic source Ready is calculated using the parameters extracted by the key parameter extraction module 20. The seismic source group is produced dailyTime TotalTThe sum of the waiting time delta T of all N scanning excitation cannons in the group is subtracted, namely the waiting time of the seismic source caused by the T-D parameter is subtracted, and the Actual scanning acquisition time Actual is obtainedT。
In the output module 60, a factor alpha parameter of the earth surface type influencing efficiency and waiting time delta T of the Ready seismic source Ready caused by the elimination of an instrument construction T-D parameter are comprehensively considered to obtain a parameter C which truly and objectively reflects the seismic source scanning acquisition efficiency, and the parameter C is used for measuring the seismic source moving scanning excitation efficiency in unit time so that all seismic source groups are evaluated under a unified standard; this result C is output as final.
Referring to fig. 8, fig. 8 is a block diagram illustrating a structure of a device for evaluating scanning efficiency of a vibroseis, where the device 700 for evaluating scanning efficiency of a vibroseis includes:
and the obtaining module 710 is used for obtaining the seismic source attribute data, the QC data, the effective shot-check point relation data and the work area earth surface type parameter data.
A first determining module 720, configured to determine an initial scanning and acquiring total shot number of the target seismic source group based on the seismic source attribute data, and determine an effective scanning and acquiring efficiency statistical result of the target seismic source group based on the effective shot detection point relationship data and the initial scanning and acquiring total shot number.
The second determining module 730 is configured to obtain scanning time data of the target seismic source group at the target acquisition shot point based on the QC data; confirming historical average scanning time data of the target collection shot point based on the work area earth surface type parameter data; determining a weight value based on the scan time data and historical average scan time data.
And a third determining module 740, configured to obtain first time data from the start of the scanning device to the readiness and second time data from the start of the scanning device to the start of scanning based on the QC data, and determine an actual scanning acquisition time based on the first time data and the second time data parameters.
A calculating module 750, configured to calculate a scan efficiency based on the effective scan acquisition efficiency statistics, the weight value, and the actual scan acquisition time.
It should be noted that the device embodiment in the present application corresponds to the foregoing method embodiment, and specific principles in the device embodiment may refer to the contents in the foregoing method embodiment, which is not described herein again.
Referring to fig. 9, fig. 9 is a block diagram illustrating an electronic device 800 that may execute the method for evaluating scanning efficiency of a vibroseis according to an embodiment of the present application, where the electronic device 800 may be a smart phone, a tablet computer, a computer, or a portable computer.
The electronic device 800 also includes a processor 802 and a memory 804. The memory 804 stores programs that can execute the content of the foregoing embodiments, and the processor 802 can execute the programs stored in the memory 804.
The Memory 804 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). The memory 804 may be used to store instructions, programs, code sets, or instruction sets. The memory 804 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for implementing at least one function (e.g., instructions for a user to obtain a random number), instructions for implementing the various method embodiments described below, and the like. The stored data area may also store data (e.g., random numbers) created by the terminal in use, and the like.
The electronic device 800 may further include a network module for receiving and transmitting electromagnetic waves, and implementing interconversion between the electromagnetic waves and the electrical signals, so as to communicate with a communication network or other devices, for example, an audio playing device, and a screen. The network module may include various existing circuit elements for performing these functions, such as an antenna, a radio frequency transceiver, a digital signal processor, an encryption/decryption chip, a Subscriber Identity Module (SIM) card, memory, and so forth. The network module may communicate with various networks such as the internet, an intranet, a wireless network, or with other devices via a wireless network. The wireless network may comprise a cellular telephone network, a wireless local area network, or a metropolitan area network. The screen can display the interface content and perform data interaction.
Referring to fig. 10, a block diagram of a computer-readable storage medium according to an embodiment of the present application is shown. The computer readable medium 900 has stored therein a program code 910, and the program code 910 can be called by a processor to execute the method described in the above method embodiments.
The computer-readable storage medium may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read only memory), an EPROM, a hard disk, or a ROM. Alternatively, the computer-readable storage medium includes a non-volatile computer-readable storage medium. The computer readable storage medium has a storage space for program code for performing any of the method steps of the above-described method. The program code can be read from or written to one or more computer program products. The program code may be compressed, for example, in a suitable form.
Embodiments of the present application also provide a computer program product or computer program comprising computer instructions stored in a computer-readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the vibroseis scanning efficiency evaluation method described in the above various optional implementation modes.
The above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not necessarily depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. A vibroseis scanning efficiency evaluation method is characterized by comprising the following steps:
acquiring seismic source attribute data, QC data, effective shot-inspection point relation data and work area earth surface type parameter data;
determining the total shot number of initial scanning and sampling of a target seismic source group based on the seismic source attribute data, and determining an effective scanning and collecting efficiency statistical result of the target seismic source group based on the effective shot-geophone point relation data and the total shot number of initial scanning and sampling;
acquiring scanning time data of the target seismic source group at a target acquisition shot point based on the QC data; confirming historical average scanning time data of the target collection shot point based on the work area earth surface type parameter data; determining a weight value based on the scan time data and historical average scan time data;
acquiring first time data of the scanning device from starting to readiness and second time data of the scanning device from starting to scanning based on the QC data, and determining actual scanning acquisition time based on the first time data and the second time data parameters;
and calculating the scanning efficiency based on the effective scanning acquisition efficiency statistical result, the weighted value and the actual scanning acquisition time.
2. The method of claim 1, wherein determining the weight value based on the scan time data and the historical average scan time data comprises:
confirming a comparison result between the scanning time data and historical average scanning time data;
confirming a weight value based on the comparison result, wherein an expression of the weight value is determined as follows:
wherein TU2D is the scan time data, Mean _ TU2D is the historical average scan time data, and α is a weight value.
3. The method of claim 1, wherein said determining an actual scan acquisition time based on said first and second temporal data parameters comprises:
determining a waiting firing time of the scanning device by subtracting the first time data from the second time data;
acquiring the sum of the total production time of the target seismic source group and the waiting excitation time of all the scanning devices in the target seismic source group;
and subtracting the sum of waiting excitation time of all the scanning devices from the total production time to obtain actual scanning acquisition time.
4. The method of claim 3, wherein calculating a scan efficiency based on the valid scan acquisition efficiency statistics, weight values, and actual scan acquisition times comprises:
multiplying the statistical result of the effective scanning acquisition efficiency by the weight value to obtain a target acquisition amount;
and obtaining the scanning efficiency based on the target acquisition amount divided by the actual scanning acquisition time.
5. The method of claim 4, wherein the scan efficiency is calculated based on the valid scan acquisition efficiency statistics, a weight value, and an actual scan acquisition time, wherein the scan efficiency is calculated by:
C＝B*α/ActualT
wherein B is the statistical result of effective scan collection efficiency, alpha is the weighted value, ActualTActual scan acquisition time;
wherein the content of the first and second substances,
total is the Total production time of the production,
the sum of the waiting excitation time of all the scanning devices in the target seismic source group;
where Δ t is TD2S-TD2R, TD2S is the second time data, and TD2R is the first time data.
6. The method of claim 1, wherein determining effective scan acquisition efficiency statistics for the set of target seismic sources based on the effective shot point relationship data and the initial scan acquisition set shot count comprises:
confirming invalid shot point data in the initial scanning collected shot number based on the effective shot point relation data;
and confirming an effective scanning acquisition efficiency statistical result based on the fact that the invalid shot point data is subtracted from the initial scanning acquisition total shot number.
7. The method of claim 1, wherein said validating historical mean scan time data for said target acquisition shot based on said work area surface type parameter data comprises:
confirming each historical scanning time data corresponding to the target acquisition shot point;
historical average scan time data is calculated based on the respective historical scan time data.
8. An apparatus for evaluating scanning efficiency of a vibroseis, the apparatus comprising:
the acquisition module is used for acquiring seismic source attribute data, QC data, effective shot-check point relation data and work area earth surface type parameter data;
the first determination module is used for determining the total shot number of initial scanning and sampling of a target seismic source group based on the seismic source attribute data and determining the effective scanning and collecting efficiency statistical result of the target seismic source group based on the effective shot-geophone point relation data and the total shot number of initial scanning and sampling;
the second determination module is used for acquiring scanning time data of the target seismic source group at a target acquisition shot point based on the QC data; confirming historical average scanning time data of the target collection shot point based on the work area earth surface type parameter data; determining a weight value based on the scan time data and historical average scan time data;
the third determining module is used for acquiring first time data from the starting of the scanning device to the readiness and second time data from the starting of the scanning device to the starting of scanning based on the QC data, and determining actual scanning acquisition time based on the first time data and the second time data parameters;
and the calculating module is used for calculating the scanning efficiency based on the effective scanning acquisition efficiency statistical result, the weight value and the actual scanning acquisition time.
9. An electronic device, comprising:
one or more processors;
a memory;
one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to perform the method of vibroseis scanning efficiency evaluation according to any of claims 1-7.
10. A computer-readable storage medium having program code stored thereon, the program code being executable by one or more processors to perform the method of vibroseis scanning efficiency evaluation according to any one of claims 1 to 7.
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