Method and device for detecting seismic data, equipment and storage medium

Abstract

The invention provides a method, a device and equipment for detecting seismic data and a storage medium, and belongs to the technical field of seismic data acquisition in oil exploration. In the method, an acquisition time period is determined based on environmental noise intensity detected by each target wireless node instrument at a plurality of detection moments, and seismic data detection is performed in the acquisition time period. By detecting the environmental noise intensity of the target area in advance, the time period with low environmental noise intensity can be selected as the acquisition time period, so that acquisition of the seismic data in the acquisition time period is less affected by environmental noise, and the acquired seismic data is more accurate.

Description

Technical Field

[0001] The present disclosure relates to the technical field of seismic data acquisition in oil exploration, and particularly to a method, device, equipment, and storage medium for detecting seismic data. Background Art

[0002] In the process of seismic data acquisition, the artificial seismic method is mainly used. Artificial earthquakes are generated by means such as artificial blasting, and the collected vibration intensity is used as seismic data.

[0003] The current seismic data acquisition method is as follows: A plurality of wireless node instruments are arranged in the acquisition area, and the vibration intensity recorded by each wireless node instrument is counted as seismic data.

[0004] However, with the acceleration of urbanization and the increasing number of transportation road networks, the level of environmental noise (emitted by vehicles, factories, etc.) has increased significantly. The influence of this environmental noise on seismic data acquisition is also more obvious, resulting in inaccurate seismic data collected. Summary of the Invention

[0005] To solve the related technical problems, embodiments of the present disclosure provide a method, device, equipment, and storage medium for detecting seismic data. The technical solutions are as follows:

[0006] In a first aspect, a method for detecting seismic data is provided. The method includes:

[0007] Without triggering an artificial earthquake, obtain the environmental noise intensities detected by a plurality of target wireless node instruments in a target area at a plurality of detection times;

[0008] Based on the environmental noise intensities detected by each target wireless node instrument at the plurality of detection times, determine the acquisition time period;

[0009] Perform seismic data detection during the acquisition time period.

[0010] In a possible implementation, the plurality of target wireless node instruments are part of the plurality of wireless node instruments used for seismic data detection.

[0011] In a possible implementation, the plurality of target wireless node instruments are evenly distributed in the target area.

[0012] In a possible implementation, the plurality of detection times are a plurality of times evenly distributed in a specified time period.

[0013] In a possible implementation, the specified time period is an integer multiple of 1 day.

[0014] In a possible implementation, determining the acquisition time period based on the ambient noise intensities detected by each target wireless node instrument at multiple detection times includes:

[0015] Based on the ambient noise intensities detected by each target wireless node instrument at multiple detection times, determine the ambient noise intensity levels of each target wireless node instrument at multiple detection times;

[0016] For each detection time, based on the ambient noise intensity levels detected by all target wireless node instruments at the detection time, determine the distribution information of different ambient noise intensity levels at the detection time;

[0017] Based on the distribution information of different ambient noise intensity levels corresponding to each detection time, determine the acquisition time period.

[0018] In a possible implementation, determining the ambient noise intensity levels of each target wireless node instrument at multiple detection times based on the ambient noise intensities detected by each target wireless node instrument at multiple detection times includes:

[0019] Based on the ambient noise intensities detected by each target wireless node instrument at multiple detection times and the pre-stored correspondence between the ambient noise intensity levels and the ambient noise intensity ranges, determine at least one ambient noise intensity level corresponding to each target wireless node instrument at each detection time, where in the correspondence, the lower limit of each ambient noise intensity range is the same and the upper limit is different, and the upper limit of the ambient noise intensity range corresponding to a higher ambient noise intensity level is greater than the upper limit of the ambient noise intensity range corresponding to a lower ambient noise intensity level;

[0020] Based on at least one ambient noise intensity level corresponding to each target wireless node instrument at each detection time, determine the set of levels corresponding to each target wireless node instrument at each detection time;

[0021] Determining the distribution information of different ambient noise intensity levels at the detection time based on the ambient noise intensity levels detected by all target wireless node instruments at the detection time includes:

[0022] For each ambient noise intensity level, determine the number of times the ambient noise intensity level appears in the set of levels corresponding to each target wireless node instrument at the detection time, and determine the ratio of the number of times to the number of target wireless node instruments;

[0023] Determine the ratio corresponding to each ambient noise intensity level at the detection time as the distribution information of different ambient noise intensity levels at the detection time.

[0024] In a possible implementation, determining the acquisition time period based on the distribution information of different environmental noise intensity levels corresponding to each detection moment includes:

[0025] Based on the distribution information of different environmental noise intensity levels corresponding to each detection moment, determining the detection moments that meet the preset low-noise condition;

[0026] Based on all the detection moments that meet the low-noise condition, determining at least one target time period, where each detection moment included in each target time period meets the low-noise condition;

[0027] In at least one target time period, removing the target time periods in which the number of included detection moments is less than the number threshold, and determining the remaining target time periods as the acquisition time period.

[0028] In a possible implementation, based on the distribution information of different environmental noise intensity levels corresponding to each detection moment, determining the detection moments that meet the preset low-noise condition includes:

[0029] For each detection moment, if the ratio corresponding to the specified environmental noise intensity level at the detection moment is greater than the ratio threshold, it is determined that the detection moment meets the low-noise condition.

[0030] In a second aspect, a device for detecting seismic data is provided. The device includes:

[0031] An acquisition module, configured to acquire the environmental noise intensity detected by a plurality of target wireless node instruments in a target area at a plurality of detection moments without triggering an artificial earthquake;

[0032] A determination module, configured to determine an acquisition time period based on the environmental noise intensity detected by each target wireless node instrument at a plurality of detection moments;

[0033] A detection module, configured to perform seismic data detection during the acquisition time period.

[0034] In a possible implementation, the plurality of target wireless node instruments are part of the plurality of wireless node instruments used for seismic data detection.

[0035] In a possible implementation, the plurality of target wireless node instruments are evenly distributed in the target area.

[0036] In a possible implementation, the plurality of detection moments are a plurality of moments evenly distributed in a specified time period.

[0037] In a possible implementation, the specified time period is an integer multiple of 1 day.

[0038] In a possible implementation, the determining module is configured to:

[0039] Based on the ambient noise intensities detected by each target wireless node instrument at multiple detection times, determine the ambient noise intensity levels of each target wireless node instrument at the multiple detection times;

[0040] For each detection time, based on the ambient noise intensity levels detected by all target wireless node instruments at the detection time, determine the distribution information of different ambient noise intensity levels at the detection time;

[0041] Based on the distribution information of different ambient noise intensity levels corresponding to each detection time, determine the acquisition time period.

[0042] In a possible implementation, the determining module is configured to:

[0043] Based on the ambient noise intensities detected by each target wireless node instrument at multiple detection times and the pre-stored correspondence between the ambient noise intensity levels and the ambient noise intensity ranges, determine at least one ambient noise intensity level corresponding to each target wireless node instrument at each detection time, where in the correspondence, the lower limit of each ambient noise intensity range is the same and the upper limit is different, and the upper limit of the ambient noise intensity range corresponding to a higher ambient noise intensity level is greater than the upper limit of the ambient noise intensity range corresponding to a lower ambient noise intensity level;

[0044] Based on at least one ambient noise intensity level corresponding to each target wireless node instrument at each detection time, determine the set of levels corresponding to each target wireless node instrument at each detection time;

[0045] The determining module is configured to:

[0046] For each ambient noise intensity level, determine the number of times the ambient noise intensity level appears in the set of levels corresponding to each target wireless node instrument at the detection time, and determine the ratio of the number of times to the number of target wireless node instruments;

[0047] Determine the ratio corresponding to each ambient noise intensity level at the detection time as the distribution information of different ambient noise intensity levels at the detection time.

[0048] In a possible implementation, the determining module is configured to:

[0049] Based on the distribution information of different ambient noise intensity levels corresponding to each detection time, determine the detection times that meet the preset low-noise condition;

[0050] Based on all detection times that meet the low-noise condition, determine at least one target time period, where each detection time included in each target time period meets the low-noise condition;

[0051] In at least one target time period, remove the target time periods in which the number of included detection times is less than the number threshold, and determine the remaining target time periods as acquisition time periods.

[0052] In a possible implementation manner, the determining module is configured to:

[0053] For each detection time, if the ratio corresponding to the specified environmental noise intensity level at the detection time is greater than the ratio threshold, determine that the detection time meets the low-noise condition.

[0054] In a third aspect, a computer device is provided. The computer device includes a memory and a processor. The memory is used to store computer instructions, and the processor executes the computer instructions stored in the memory so that the computer device executes the method provided in the first aspect and its possible implementation manners.

[0055] In a fourth aspect, a computer-readable storage medium is provided. The computer-readable storage medium stores computer program code. When the computer program code is executed by a computer device, the computer device executes the method provided in the first aspect and its possible implementation manners.

[0056] In a fifth aspect, a computer program product is provided. The computer program product includes computer program code. When the computer program code is executed by a computer device, the computer device executes the method provided in the first aspect and its possible implementation manners.

[0057] By using this method, by pre-detecting the environmental noise intensity of the target area, a time period with a lower environmental noise intensity can be selected as the acquisition time period. In this way, when acquiring seismic data in the acquisition time period, the influence of environmental noise is small, so that the acquired seismic data is more accurate. Description of the Drawings

[0058] Figure 1 is a schematic structural diagram of a computer device provided by an embodiment of the present disclosure;

[0059] Figure 2 is a schematic processing flow diagram of a method for detecting seismic data provided by an embodiment of the present disclosure;

[0060] Figure 3 is a schematic diagram of a method for determining a target wireless node instrument provided by an embodiment of the present disclosure;

[0061] Figure 4It is a schematic diagram of a method for determining a target wireless node instrument provided by an embodiment of the present disclosure;

[0062] Figure 5 It is a schematic diagram of a processing flow for determining an acquisition time period provided by an embodiment of the present disclosure;

[0063] Figure 6 It is a schematic diagram of the structure of a device for detecting seismic data provided by an embodiment of the present disclosure. Detailed implementation manners

[0064] In the field of seismic data acquisition for oil exploration, with the accelerating progress of urbanization and the increasing number of transportation road networks, the level of environmental noise (emitted by vehicles, factories, etc.) has increased significantly. The impact of this environmental noise on seismic data acquisition has become more obvious, resulting in inaccurate seismic data. Therefore, a more accurate method for detecting seismic data is needed.

[0065] An embodiment of the present disclosure provides a method for detecting seismic data. This method can be applied to a computer device, which can be a terminal or a server. The terminal can be a mobile phone, a tablet computer, a notebook computer, a desktop computer, etc. The server can be a single device or a device group composed of multiple devices.

[0066] In terms of hardware composition, the structure of the above computer device can be as Figure 1 shown, including a processor 110, a memory 120, and a display 130.

[0067] The processor 110 can be a central processing unit (CPU) or a system on chip (SoC), etc. The processor 110 can be used to execute various instructions involved in this method.

[0068] The memory 120 can include various volatile or non-volatile memories, such as a solid-state disk (SSD), a dynamic random access memory (DRAM), etc. The memory 120 can be used to store pre-stored data, intermediate data, and result data during the business processing, such as storing the correspondence between the environmental noise intensity level and the environmental noise intensity range.

[0069] The display 130 can be an independent screen, or a screen integrated with the terminal body, a projector, etc. The screen can be a touch screen or a non-touch screen. The display 130 can be used to display distribution information of different environmental noise intensity levels corresponding to each detection moment, etc.

[0070] An embodiment of the present disclosure provides a method for detecting seismic data, and the processing flow of this method can be as follows Figure 2 as shown, including the following steps:

[0071] 201. Without triggering artificial earthquakes, obtain the environmental noise intensities detected by multiple target wireless node instruments in a target area at multiple detection times.

[0072] After relevant personnel determine the target area, deploy all the wireless node instruments used for detecting seismic data in the target area, and then select some of the wireless node instruments as target wireless node instruments for noise detection. That is to say, the number of target wireless node instruments can be less than or equal to the number of wireless node instruments used for seismic data detection. The wireless node instrument can detect the environmental noise intensity, and among them, the wireless node instrument can represent the detected environmental noise intensity in volts (the unit is generally microvolts).

[0073] The multiple target wireless node instruments are evenly distributed in the target area. The deployment scheme of the multiple wireless node instruments used for seismic detection can be matrix-like. For example, 100 wireless node instruments are deployed in each row and 200 wireless node instruments are deployed in each column. In this deployment scheme, the deployment scheme of the target wireless node instruments can be to select 1 out of 8 (select 1 out of 8 wireless node instruments in each row / column as the target wireless node instrument, as Figure 3 shown. In the target area, each dot represents a wireless node instrument, and select the wireless node instruments in the rows where A and B are located as the target wireless node instruments), select 1 out of 4 points (select 1 out of 2 wireless node instruments in each row and 2 wireless node instruments in each column, as Figure 4 shown. The 4 wireless node instruments in the dashed box can be regarded as a group, and 1 is selected from a group, and select one from C, D, E, and F as the target wireless node instrument), and so on. The distribution of the wireless node instruments in the target area can satisfy the following characteristics: the distribution density of the wireless node instruments in the sub-area of the target area is positively correlated with the distance of the sub-area from the suspected noise area, and the suspected noise area can be an urban area, a factory, an industrial park, etc.

[0074] The specified time period is an integer multiple of 1 day. For example, 1 day, 2 days, etc.

[0075] The multiple detection times are multiple times evenly distributed in the specified time period. For example, when the specified time period is 1 day, the multiple detection times can be the whole hour times in 1 day (9:00, 10:00, etc.).

[0076] 202. Based on the environmental noise intensities detected by each target wireless node instrument at multiple detection times, determine the acquisition time period.

[0077] The correspondence between the environmental noise intensity level and the environmental noise intensity range can be pre-stored, where the environmental noise intensity range can be adjusted according to the actual situation. After determining the environmental noise intensity detected by each target wireless node instrument at multiple detection times, it is possible to determine the environmental noise intensity range to which each environmental noise intensity belongs, and then determine the environmental noise intensity level to which each environmental noise intensity belongs.

[0078] Based on the environmental noise intensity level, it is possible to determine the distribution information of different environmental noise intensity levels at the detection time, and based on the distribution information of different environmental noise intensity levels at the detection time, the acquisition time period can be determined.

[0079] 203. During the acquisition time period, seismic data detection is performed.

[0080] In a possible implementation manner, the processing flow for determining the acquisition time period can be as Figure 5 shown, including the following steps:

[0081] 501. Based on the environmental noise intensity detected by each target wireless node instrument at multiple detection times, determine the environmental noise intensity level of each target wireless node instrument at multiple detection times.

[0082] Based on the environmental noise intensity detected by each target wireless node instrument at multiple detection times and the pre-stored correspondence between the environmental noise intensity level and the environmental noise intensity range, determine at least one environmental noise intensity level corresponding to each target wireless node instrument at each detection time. In this correspondence, the lower limit of each environmental noise intensity range is the same, the upper limits are different, and the upper limit of the environmental noise intensity range corresponding to a higher environmental noise intensity level is greater than the upper limit of the environmental noise intensity range corresponding to a lower environmental noise intensity level.

[0083] Based on at least one environmental noise intensity level corresponding to each target wireless node instrument at each detection time, determine the level set corresponding to each target wireless node instrument at each detection time.

[0084] In the corresponding relationship between the pre-stored environmental noise intensity levels and environmental noise intensity ranges, there can be multiple sets of corresponding relationships between environmental noise intensity levels and environmental noise intensity ranges. As shown in Table 1, there are six environmental noise intensity levels, the lower limit of each environmental noise intensity range is all 0, and the upper limits are different. Moreover, at lower levels, the environmental noise intensity range is smaller, and the upper limit of the environmental noise intensity range corresponding to a higher environmental noise intensity level is greater than the upper limit of the environmental noise intensity range corresponding to a lower environmental noise intensity level. The environmental noise intensity range can include all the detected environmental noise intensities, or it can only include the lower range of environmental noise intensities. For example, the highest value of all the detected environmental noise intensities is 60, and the environmental noise intensity range corresponding to the highest environmental noise intensity level is 0 - 40.

[0085] Table 1 Corresponding Relationship Table of Environmental Noise Intensity Levels and Environmental Noise Intensity Ranges

[0086] Environmental noise intensity level Environmental noise intensity range One 0-5 Two 0-7 Three 0-10 Four 0-20 Five 0-30 Six 0-40

[0087] After obtaining the environmental noise intensities detected by each target wireless node instrument at multiple detection times, it is possible to determine the environmental noise intensity range to which the environmental noise intensity of each target wireless node instrument belongs at each detection time, and then, based on the environmental noise intensity range, determine at least one environmental noise intensity level corresponding to each target wireless node instrument at each detection time. For example, 12 target wireless node instruments are deployed in the target area, and the environmental noise intensities detected by each target wireless node instrument at a certain detection time are 3, 1, 5, 15, 2, 3, 3, 9, 22, 1, 7, 6 respectively. From Table 1, it can be seen that the sets of environmental noise intensity levels of each target wireless node instrument at this target time are {One, Two, Three, Four, Five, Six}, {One, Two, Three, Four, Five, Six}, {One, Two, Three, Four, Five, Six}, {One, Two, Three, Four, Five, Six}, {Four, Five, Six}, {One, Two, Three, Four, Five, Six}, {One, Two, Three, Four, Five, Six}, {One, Two, Three, Four, Five, Six}, {Three, Four, Five, Six}, {Five, Six}, {One, Two, Three, Four, Five, Six}, {Two, Three, Four, Five, Six}, {Two, Three, Four, Five, Six}.

[0088] 502. For each detection time, based on the environmental noise intensity levels detected by all target wireless node instruments at the detection time, determine the distribution information of different environmental noise intensity levels at the detection time.

[0089] For each environmental noise intensity level, determine the number of times the environmental noise intensity level appears in the set of levels corresponding to each target wireless node instrument at the detection time, and determine the ratio of the number of times to the number of target wireless node instruments.

[0090] Determine the ratio corresponding to each environmental noise intensity level at the detection moment as the distribution information of different environmental noise intensity levels at the detection moment.

[0091] For example, deploy 12 target wireless node devices in the target area. The environmental noise intensities detected by each target wireless node device at a certain detection moment are 3, 1, 5, 15, 2, 3, 3, 9, 22, 1, 7, and 6 respectively. As can be seen from Table 1, the sets of environmental noise intensity levels of each target wireless node device at this target moment are {Level 1, Level 2, Level 3, Level 4, Level 5, Level 6}, {Level 1, Level 2, Level 3, Level 4, Level 5, Level 6}, {Level 1, Level 2, Level 3, Level 4, Level 5, Level 6}, {Level 1, Level 2, Level 3, Level 4, Level 5, Level 6}, {Level 4, Level 5, Level 6}, {Level 1, Level 2, Level 3, Level 4, Level 5, Level 6}, {Level 1, Level 2, Level 3, Level 4, Level 5, Level 6}, {Level 1, Level 2, Level 3, Level 4, Level 5, Level 6}, {Level 3, Level 4, Level 5, Level 6}, {Level 5, Level 6}, {Level 1, Level 2, Level 3, Level 4, Level 5, Level 6}, {Level 2, Level 3, Level 4, Level 5, Level 6}, {Level 2, Level 3, Level 4, Level 5, Level 6}. The number of times each target wireless node device appears in the set of levels corresponding to each environmental noise intensity level from Level 1 to Level 6 is 8, 10, 11, 12, 12, 12 respectively. The ratios of the number of times to the number of target wireless node devices are 2 / 3, 5 / 6, 11 / 12, 1, 1, 1 respectively. Determine the ratio corresponding to each environmental noise intensity level at the detection moment as the distribution information of different environmental noise intensity levels at the detection moment.

[0092] 503. Determine the acquisition time period based on the distribution information of different environmental noise intensity levels corresponding to each detection moment.

[0093] Based on the distribution information of different environmental noise intensity levels corresponding to each detection moment, determine the detection moments that meet the preset low-noise conditions. Then, based on all the detection moments that meet the low-noise conditions, determine at least one target time period. Among them, each detection moment included in each target time period is a detection moment that meets the low-noise conditions. Among the at least one target time period, remove the target time periods in which the number of included detection moments is less than the number threshold. Determine the remaining target time periods as the acquisition time period, where the number threshold is N, and N is an integer greater than 1.

[0094] For each detection moment, if the ratio corresponding to the specified environmental noise intensity level at the detection moment is greater than the ratio threshold, determine that the detection moment meets the low-noise conditions.

[0095] For example, the specified environmental noise intensity level can be the environmental noise intensity level corresponding to environmental noise intensities 0 - 7, the ratio threshold can be 4 / 5, and the preset low-noise condition can be that the ratio corresponding to the environmental noise intensity level of one is greater than 4 / 5. Among the ratios calculated in step 502 above, the ratio corresponding to the environmental noise intensity level of one is 2 / 3, which is less than the ratio threshold 4 / 5. Therefore, this detection moment does not meet the preset low-noise condition, so this detection moment does not belong to the detection moments in the target time period. While for another detection moment, when the ratio corresponding to the environmental noise intensity level of one is 9 / 10, which is greater than the ratio threshold 4 / 5, so this detection moment belongs to the target time period. The number of detection moments in the target time period is 5, and the number threshold is 10, so the target time period cannot be used as the acquisition time period.

[0096] In the embodiments of the present disclosure, by pre-detecting the environmental noise intensity of the target area, a time period with a lower environmental noise intensity can be selected as the acquisition time period. In this way, when acquiring seismic data during the acquisition time period, the influence of environmental noise is smaller, so that the acquired seismic data is more accurate.

[0097] All the above optional technical solutions can be combined arbitrarily to form optional embodiments of the present disclosure, which will not be elaborated here one by one.

[0098] The embodiments of the present disclosure also provide a device for detecting seismic data, as Figure 6 shown. The device includes:

[0099] An acquisition module 610, configured to acquire the environmental noise intensities detected by a plurality of target wireless node instruments in a target area at a plurality of detection moments without triggering artificial earthquakes;

[0100] A determination module 620, configured to determine the acquisition time period based on the environmental noise intensities detected by each target wireless node instrument at a plurality of detection moments;

[0101] A detection module 630, configured to detect seismic data during the acquisition time period.

[0102] In a possible implementation manner, the plurality of target wireless node instruments are some of the wireless node instruments used for seismic data detection.

[0103] In a possible implementation manner, the plurality of target wireless node instruments are evenly distributed in the target area.

[0104] In a possible implementation manner, the plurality of detection moments are a plurality of moments evenly distributed in a specified time period.

[0105] In a possible implementation manner, the specified time period is an integer multiple of 1 day.

[0106] In a possible implementation, a determination module 620 is configured to:

[0107] Based on the ambient noise intensity detected by each target wireless node instrument at multiple detection times, determine the ambient noise intensity level of each target wireless node instrument at multiple detection times;

[0108] For each detection time, based on the ambient noise intensity levels detected by all target wireless node instruments at the detection time, determine the distribution information of different ambient noise intensity levels at the detection time;

[0109] Based on the distribution information of different ambient noise intensity levels corresponding to each detection time, determine the acquisition time period.

[0110] In a possible implementation, a determination module 620 is configured to:

[0111] Based on the ambient noise intensity detected by each target wireless node instrument at multiple detection times and the pre-stored correspondence between the ambient noise intensity level and the ambient noise intensity range, determine at least one ambient noise intensity level corresponding to each target wireless node instrument at each detection time, where in the correspondence, the lower limit of each ambient noise intensity range is the same and the upper limit is different, and the upper limit of the ambient noise intensity range corresponding to a higher ambient noise intensity level is greater than the upper limit of the ambient noise intensity range corresponding to a lower ambient noise intensity level;

[0112] Based on at least one ambient noise intensity level corresponding to each target wireless node instrument at each detection time, determine the level set corresponding to each target wireless node instrument at each detection time;

[0113] The determination module 620 is configured to:

[0114] For each ambient noise intensity level, determine the number of times the ambient noise intensity level appears in the level set corresponding to each target wireless node instrument at the detection time, and determine the ratio of the number of times to the number of target wireless node instruments;

[0115] Determine the ratio corresponding to each ambient noise intensity level at the detection time as the distribution information of different ambient noise intensity levels at the detection time.

[0116] In a possible implementation, a determination module 620 is configured to:

[0117] Based on the distribution information of different ambient noise intensity levels corresponding to each detection time, determine the detection times that meet the preset low-noise condition;

[0118] Based on all detection times that meet the low-noise condition, at least one target time period is determined, where each detection time included in each target time period is a detection time that meets the low-noise condition;

[0119] In at least one target time period, remove the target time periods in which the number of included detection times is less than the number threshold, and determine the remaining target time periods as acquisition time periods.

[0120] In a possible implementation manner, a determination module 620 is configured to:

[0121] For each detection time, if the ratio corresponding to the specified environmental noise intensity level at the detection time is greater than the ratio threshold, it is determined that the detection time meets the low-noise condition.

[0122] In the embodiments of the present disclosure, by pre-detecting the environmental noise intensity of the target area, a time period with a lower environmental noise intensity can be selected as the acquisition time period. In this way, when acquiring seismic data in the acquisition time period, the influence of environmental noise is small, so that the acquired seismic data is more accurate.

[0123] It should be noted that: when the device for detecting seismic data provided in the above embodiments detects seismic data, only the above-mentioned division of each functional module is used for illustration. In actual applications, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device for detecting seismic data provided in the above embodiments and the method embodiments for detecting seismic data belong to the same concept, and the specific implementation process can be seen in the method embodiments, which will not be elaborated here.

[0124] The embodiments of the present disclosure also provide a computer-readable storage medium. The computer-readable storage medium can be any available medium that can be stored by a computing device or a data storage device such as a data center including one or more available media. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a magnetic tape), an optical medium (for example, a DVD), or a semiconductor medium (for example, a solid-state drive), etc. The computer-readable storage medium includes instructions that instruct the computing device to execute the method for business processing, or instruct the computing device to execute the method for business processing.

[0125] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the protection scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for detecting seismic data, characterized in that: The method comprises: Without triggering an artificial earthquake, obtaining the environmental noise intensity detected by multiple target wireless node instruments in the target area at multiple detection times; Determine a collection time period based on the environmental noise intensity detected by each target wireless node at multiple detection times; During the acquisition period, seismic data detection is performed.

2. The method according to claim 1, characterized in that The multiple target wireless node instruments are some of the multiple wireless node instruments used for seismic data detection.

3. The method according to claim 1, characterized in that The multiple target wireless nodes are evenly distributed in the target area.

4. The method according to claim 1, characterized in that: The multiple detection moments are multiple moments evenly distributed in a specified time period.

5. The method according to claim 4, characterized in that The specified time period is an integer multiple of 1 day.

6. The method according to claim 1, characterized in that The step of determining a collection time period based on the environmental noise intensity detected by each target wireless node at multiple detection times includes: Determine the environmental noise intensity level of each target wireless node instrument at the multiple detection times based on the environmental noise intensity detected by each target wireless node instrument at the multiple detection times; For each detection moment, based on the environmental noise intensity levels detected by all target wireless nodes at the detection moment, determine distribution information of different environmental noise intensity levels at the detection moment; The collection time period is determined based on the distribution information of different environmental noise intensity levels corresponding to each detection moment.

7. A device for detecting seismic data, characterized in that: The device comprises: An acquisition module is used to acquire the environmental noise intensity detected by multiple target wireless node instruments in the target area at multiple detection times without triggering an artificial earthquake; A determination module, used to determine a collection time period based on the environmental noise intensity detected by each target wireless node at multiple detection moments; The detection module is used to detect seismic data during the acquisition time period.

8. The device according to claim 7, characterized in that The multiple target wireless node instruments are some of the multiple wireless node instruments used for seismic data detection.

9. A computer device, characterized in that: The computer device comprises a memory and a processor, wherein the memory is used to store computer instructions; The processor executes the computer instructions stored in the memory to enable the computer device to perform the method according to any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program code. When the computer program code is executed by a computer device, the computer device executes the method according to any one of claims 1 to 6.

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