CN111381274A - Transmission fault channel identification method and device - Google Patents
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Abstract
The embodiment of the specification provides a transmission fault channel identification method and device. The method comprises the following steps: acquiring single-shot seismic data, wherein the single-shot seismic data comprise seismic data of at least one seismic channel; sampling seismic data of a seismic channel to obtain a plurality of sampling points; moving a time window with a preset length on the seismic data by a preset step length; recording the number of the first specific time window positions in the moving process; the sample values of the sampling points in the first specific time window position are the same; and under the condition that the number of the first specific time window positions is greater than or equal to a first threshold value, judging that the seismic channel is a transmission fault channel. The embodiment of the specification judges whether the seismic channel is a transmission fault channel by comparing whether the sampling point values of sampling points in the seismic channel are abnormal or not, realizes automatic, quick and accurate identification of the transmission fault channel, avoids the influence of human subjective factors, reduces labor force and improves production.
Description
Technical Field
The embodiment of the specification relates to the field of petroleum exploration and seismic data acquisition, in particular to a transmission fault channel identification method and device.
Background
With the continuous deepening of oil field exploration and development, the difficulty is increased day by day, and the quality requirement on seismic data is higher and higher, so that the quality monitoring needs to be carried out on the initial stage of seismic exploration, and the reliability of data acquisition is ensured. The seismic data acquisition field processing can timely perform quality control on the process and the result of seismic data acquisition, reduce waste caused by data quality, and improve the efficiency of seismic data acquisition, thereby improving certain guarantee for the smooth completion of seismic data acquisition work, simultaneously improving certain guarantee for field acquisition deployment, and having important significance for the smooth proceeding of subsequent processing and interpretation work.
In the process of acquiring the seismic field data, the condition of a transmission fault channel is often received. Therefore, the single shot record obtained by blasting on the same day is checked and primarily processed in time, and the implementation of field quality monitoring is particularly important. The data field processing is used as an effective link for monitoring the seismic data acquisition quality, and the quality of the technical means is directly related to the seismic acquisition quality.
Conventionally, identifying a transport failure track by playback recording is a method of monitoring by manually printing out the playback recording. The method is not only time-consuming and labor-consuming and uneconomical, but also is difficult to meet the requirement of quick search in the practical application process. In the process of checking massive seismic data, quality control personnel need to check each cannon, carelessness is inevitable, and meanwhile seismic data received by each array are amplified in the three-dimensional multi-array, which may cause distortion, so that it is important to find a proper, effective, convenient and quick monitoring means.
Disclosure of Invention
The purpose of the embodiments of the present specification is to provide a method and an apparatus for identifying a transmission fault channel, which implement automatic identification of the transmission fault channel by comparing differences of sample point data in seismic channels.
In order to solve the above problem, an embodiment of the present specification provides a transmission failure lane identification method and apparatus, which are implemented as follows:
a transmission failure lane identification method, the method comprising: acquiring single-shot seismic data, wherein the single-shot seismic data comprise seismic data of at least one seismic channel; sampling seismic data of a seismic channel to obtain a plurality of sampling points; moving a time window with a preset length on the seismic data by a preset step length; recording the number of the first specific time window positions in the moving process; the sample values of the sampling points in the first specific time window position are the same; and under the condition that the number of the first specific time window positions is greater than or equal to a first threshold value, judging that the seismic channel is a transmission fault channel.
A transmission failure lane identification method, the method comprising: acquiring single-shot seismic data, wherein the single-shot seismic data comprise seismic data of at least one seismic channel; sampling seismic data of a seismic channel to obtain a plurality of sampling points; moving a time window with a preset length on the seismic data by a preset step length; recording the number of the second specific time window positions in the moving process; the sample values of the sampling points in the second specific time window position are all zero; and under the condition that the number of the second specific time window positions is greater than or equal to a second threshold value, judging that the seismic channel is a transmission fault channel.
A transmission failure lane identification method, the method comprising: acquiring single-shot seismic data, wherein the single-shot seismic data comprise seismic data of at least one seismic channel; sampling seismic data of a seismic channel to obtain a plurality of sampling points; moving a time window with a preset length on the seismic data by a preset step length; recording the number of the third specific time window positions in the moving process; sample point values of sampling points in the third specific time window position are all positive numbers or all negative numbers; and under the condition that the number of the third specific time window positions is greater than or equal to a third threshold value, judging that the seismic channel is a transmission fault channel.
A transmission-failure-lane recognition apparatus comprising: the single-shot seismic data acquisition module is used for acquiring single-shot seismic data, and the single-shot seismic data comprises seismic data of at least one seismic channel; the sampling module is used for sampling the seismic data of the seismic channel to obtain a plurality of sampling points; the time window moving module is used for moving a time window with a preset length on the seismic data by a preset step length; recording the number of the first specific time window positions in the moving process; the sample values of the sampling points in the first specific time window position are the same; and the transmission fault channel identification module is used for judging the seismic channel as a transmission fault channel under the condition that the number of the first specific time window positions is greater than or equal to a first threshold value.
A transmission-failure-lane recognition apparatus comprising: the single-shot seismic data acquisition module is used for acquiring single-shot seismic data, and the single-shot seismic data comprises seismic data of at least one seismic channel; the sampling module is used for sampling the seismic data of the seismic channel to obtain a plurality of sampling points; the time window moving module is used for moving a time window with a preset length on the seismic data by a preset step length; recording the number of the second specific time window positions in the moving process; the sample values of the sampling points in the second specific time window position are all zero; and the transmission fault channel identification module is used for judging the seismic channel as a transmission fault channel under the condition that the number of the specific time window positions is greater than or equal to a second threshold value.
A transmission-failure-lane recognition apparatus comprising: the single-shot seismic data acquisition module is used for acquiring single-shot seismic data, and the single-shot seismic data comprises seismic data of at least one seismic channel; the sampling module is used for sampling the seismic data of the seismic channel to obtain a plurality of sampling points; the time window moving module moves a time window with a preset length on the seismic data by a preset step length; recording the number of the third specific time window positions in the moving process; sample point values of sampling points in the third specific time window position are all positive numbers or all negative numbers; and the transmission fault channel identification module is used for judging the seismic channel as a transmission fault channel under the condition that the number of the third specific time window positions is greater than or equal to a third threshold value.
The outstanding effect of this specification embodiment is:
the embodiment of the specification determines whether the seismic channel is a transmission fault channel by comparing whether the symbols of sampling points in the seismic channel are the same, whether sampling point values are the same or zero values. The method can be applied to monitoring the field earthquake acquisition quality, and dynamically monitors the quality of the earthquake data acquired in the field in real time; meanwhile, the embodiment of the specification can also be applied to indoor seismic data preprocessing, and can automatically, quickly and accurately identify the transmission fault channel, avoid the influence of subjective factors of people, reduce labor force and improve productivity.
Drawings
In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the specification, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a diagram illustrating a first embodiment of a transmission failure lane identification method according to the present disclosure;
FIG. 2 is a diagram illustrating a second embodiment of a transmission failure lane identification method according to the present disclosure;
FIG. 3 is a diagram illustrating a third embodiment of a transmission failure lane identification method according to the present disclosure;
FIG. 4 is a diagram illustrating a fourth embodiment of a transmission failure lane identification method according to the present disclosure;
FIG. 5 is a diagram of single shot seismic data processed by a transmission failure trace identification method according to an embodiment of the specification;
fig. 6 is a functional block diagram of a transmission-failure-lane recognition apparatus according to a first embodiment of the present disclosure;
FIG. 7 is a functional block diagram of a transmission-failure-lane recognition apparatus according to a second embodiment of the present disclosure;
fig. 8 is a functional block diagram of a third embodiment of a transmission-failure-lane recognition apparatus according to the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present specification without any creative effort shall fall within the protection scope of the present specification.
In an embodiment of the present disclosure, an object executing the transmission failure lane identification method may be an electronic device with a logical operation function, where the electronic device may be a server or a client, and the client may be a desktop computer, a tablet computer, a notebook computer, a workstation, or the like. Of course, the client is not limited to the electronic device with certain entities, and may also be software running in the electronic device. It may also be program software formed by program development, which may be run in the above-mentioned electronic device.
Fig. 1 is a schematic diagram of a transmission failure lane identification method according to a first embodiment of the present disclosure. As shown in fig. 1, the method for identifying a transmission failure track includes the following steps:
s110: single shot seismic data is acquired, the single shot seismic data including seismic data for at least one seismic trace.
In some embodiments, survey lines and shot locations are laid out in a two-dimensional or three-dimensional observation system over a pay zone of hydrocarbon exploration preliminarily determined by geological and other geophysical operations, seismic waves are excited using a dynamite source or a vibroseis, and seismic wavefields are recorded by geophones and seismometers in a time-discrete sampling manner. Raw seismic data may be obtained using the above described approaches. In the above-described raw seismic data, the seismic data recorded at each geophone point is referred to as a seismic trace. The seismic trace at a geophone point is a single trace. During seismic recording, each time an earthquake (also called a single shot) is fired, a series of detectors are generally used for receiving reflected waves generated by the firing of the earth, so that signals received by each shot are arranged together to form an arranged single shot record. The collection of seismic traces of multiple earthquakes recorded by a geophone is called a multi-shot recording. When the multi-shot record is carried out, a plurality of single-shot records are displayed on the same seismic data in parallel.
In some embodiments, the acquired single shot seismic data may be represented by an amplitude value x (ix, t), where i ═ 1, 2, …, n, represents the number of traces in the single shot seismic data, and t represents time.
In some embodiments, the server may acquire single shot seismic data in any manner. For example, the geophone may directly send single shot seismic data to the server, which may receive the seismic data; also for example, other electronic devices than the server may send single shot seismic data to the server, which may receive it.
S120: and determining the sampling rate and the sampling number of the seismic data, and sampling the seismic data of the seismic channel to obtain a plurality of sampling points.
The sampling rate, also called sampling speed or sampling frequency, defines the number of samples per second that are extracted from a continuous signal and constitute a discrete signal, which is expressed in hertz (Hz). The inverse of the sampling rate is the sampling period, or sample time, which is the time interval between samples. Colloquially speaking, the sampling frequency refers to how many signal samples per second a computer takes.
In some embodiments, typically single shot seismic data contains seismic data for multiple seismic traces. Thus, the sampling rate and the number of samples can be determined according to the length of the seismic traces. Of course, the sampling rate and the number of samples may be set in advance.
S130: moving a time window with a preset length on the seismic data by a preset step length; recording the number of the first specific time window positions in the moving process; the sample values of the sampling points within the first specific time window position are all the same.
In some embodiments, given a time length, i.e., a time window, for the seismic data of each seismic trace, the time window may be shifted from the first sample point to the last sample point by a preset step length, the seismic data on the seismic trace may be divided into a plurality of time windows, and all the sample points may be included in the time windows by setting the step length, and the number of the sample points in the time windows may be at least two.
In some embodiments, for the seismic data of each seismic trace, during the time window moving process, it may be detected whether sampling point values of sampling points in the time window are all the same, and if they are all the same, the time window position is marked as a first specific time window position until the time window moving is finished, and the number of the first specific time window positions is recorded.
In some embodiments, for the seismic data of each seismic trace, during the time window moving process, it may be detected whether sampling point values of sampling points in the time window are all zero, and if all sampling point values are all zero, the time window position is marked as a second specific time window position until the time window moving is finished, and the number of the second specific time window positions is recorded.
In some embodiments, for the seismic data of each seismic trace, during the time window moving process, it may be detected whether sampling point values of sampling points in the time window are all positive numbers or all negative numbers, and if the sampling point values are all positive numbers or all negative numbers, the time window position is marked as a third specific time window position until the time window moving is finished, and the number of the third specific time window positions is recorded.
S140: and under the condition that the number of the first specific time window positions is greater than or equal to a first threshold value, judging that the seismic channel is a transmission fault channel.
For the seismic data of each seismic channel, if the sampling point value of the sampling point is abnormal, it indicates that the seismic channel is a transmission fault channel, and the abnormal sampling point value of the sampling point may include: the number of sampling points with the same sampling point value or zero sampling point value on the same seismic channel exceeds a certain value, and the number of sampling points with the same positive and negative signs of the sampling point value on the same seismic channel exceeds a certain value.
In some embodiments, the first threshold may be preset, and the size of the first threshold may be empirically set. And comparing the number of the first specific time window positions with a preset first threshold value in the seismic data of the same seismic channel, and if the number of the first specific time window positions is greater than or equal to the preset first threshold value, indicating that the seismic channel is a transmission fault channel.
In some embodiments, the second threshold may be preset, and the size of the second threshold may be empirically set. And comparing the number of the second specific time window positions with a preset second threshold value in the seismic data of the same seismic channel, and if the number of the second specific time window positions is greater than or equal to the preset second threshold value, indicating that the seismic channel is a transmission fault channel.
In some embodiments, the third threshold may be preset, and the size of the third threshold may be empirically set. And comparing the number of the third specific time window positions with a preset third threshold value in the seismic data of the same seismic channel, and if the number of the third specific time window positions is greater than or equal to the set third threshold value, indicating that the seismic channel is a transmission fault channel.
In some embodiments, for determining that the sample values of the sampling points in the third specific time window position are both positive numbers or both negative numbers, the sample values of the adjacent sampling points in the time window position may be multiplied by each other, that is, by xk×xk+1> 0 to determine whether the samples within the time window are all positive or all negative.
The embodiment of the specification samples the seismic data of the seismic channel, judges whether the sampling point values of the sampling points are the same or not, and judges whether the sampling points with the same sampling point values reach a certain number or not, so that whether the seismic channel is a transmission fault channel or not is identified, automatic, quick and accurate identification of the transmission fault channel is realized, the influence of human subjective factors is avoided, the labor force is reduced, and the production is improved.
A second embodiment of a transmission failure lane identification method of the present specification is described below.
Fig. 2 is a schematic diagram of a transmission failure lane identification method according to a second embodiment of the present application, and as shown in fig. 2, the transmission failure lane identification method may include:
s210: single shot seismic data is acquired, the single shot seismic data including seismic data for at least one seismic trace.
S220: and sampling the seismic data of the seismic channel to obtain a plurality of sampling points.
S230: moving a time window with a preset length on the seismic data by a preset step length; recording the number of the second specific time window positions in the moving process; the sample values of the sampling points in the second specific time window position are all zero.
In some embodiments, for the seismic data of each seismic trace, during the time window moving process, it may be detected whether sampling point values of sampling points in the time window are all zero, and if all sampling point values are all zero, the time window position is marked as a second specific time window position until the time window moving is finished, and the number of the second specific time window positions is recorded.
In some embodiments, for the seismic data of each seismic trace, during the time window moving process, it may be detected whether sampling point values of sampling points in the time window are all the same, and if they are all the same, the time window position is marked as a first specific time window position until the time window moving is finished, and the number of the first specific time window positions is recorded.
In some embodiments, for the seismic data of each seismic trace, during the time window moving process, it may be detected whether sampling point values of sampling points in the time window are all positive numbers or all negative numbers, and if the sampling point values are all positive numbers or all negative numbers, the time window position is marked as a third specific time window position until the time window moving is finished, and the number of the third specific time window positions is recorded.
S240: and under the condition that the number of the second specific time window positions is greater than or equal to a second threshold value, judging that the seismic channel is a transmission fault channel.
In some embodiments, the second threshold may be preset. And comparing the number of the second specific time window positions with a preset second threshold value in the seismic data of the same seismic channel, and if the number of the second specific time window positions is greater than or equal to the preset second threshold value, indicating that the seismic channel is a transmission fault channel.
In some embodiments, the first threshold may be preset. And comparing the number of the first specific time window positions with a preset first threshold value in the seismic data of the same seismic channel, and if the number of the first specific time window positions is greater than or equal to the preset first threshold value, indicating that the seismic channel is a transmission fault channel.
In some embodiments, the third threshold may be preset. And comparing the number of the third specific time window positions with a preset third threshold value in the seismic data of the same seismic channel, and if the number of the third specific time window positions is greater than or equal to the set third threshold value, indicating that the seismic channel is a transmission fault channel.
In some embodiments, for determining that the sample values of the sampling points in the third specific time window position are both positive numbers or both negative numbers, the sample values of the adjacent sampling points in the time window position may be multiplied by each other, that is, by xk×xk+1> 0 to determine whether the samples within the time window are all positive or all negative.
The embodiment of the specification samples the seismic data of the seismic channel, judges whether the sampling point value of the sampling point is zero or not and judges whether the sampling point value of the sampling point value is zero reaches a certain number or not, thereby identifying whether the seismic channel is a transmission fault channel or not, realizing automatic, quick and accurate identification of the transmission fault channel, avoiding the influence of human subjective factors, reducing labor force and improving production.
A third embodiment of a transmission-failure-lane identification method of the present specification is described below.
Fig. 3 is a schematic diagram of a third embodiment of a transmission failure lane identification method according to the present application, and as shown in fig. 3, the transmission failure lane identification method may include:
s310: single shot seismic data is acquired, the single shot seismic data including seismic data for at least one seismic trace.
S320, determining the sampling rate and the sampling number of the seismic data, and sampling the seismic data of the seismic channel to obtain a plurality of sampling points.
S330: moving a time window with a preset length on the seismic data by a preset step length; recording the number of the third specific time window positions in the moving process; and the sample values of the sampling points in the third specific time window position are all positive numbers or all negative numbers.
In some embodiments, for the seismic data of each seismic trace, during the time window moving process, it may be detected whether sampling point values of sampling points in the time window are all positive numbers or all negative numbers, and if the sampling point values are all positive numbers or all negative numbers, the time window position is marked as a third specific time window position until the time window moving is finished, and the number of the third specific time window positions is recorded.
In some embodiments, for the seismic data of each seismic trace, during the time window moving process, it may be detected whether sampling point values of sampling points in the time window are all the same, and if they are all the same, the time window position is marked as a first specific time window position until the time window moving is finished, and the number of the first specific time window positions is recorded.
In some embodiments, for the seismic data of each seismic trace, during the time window moving process, it may be detected whether sampling point values of sampling points in the time window are all zero, and if all sampling point values are all zero, the time window position is marked as a second specific time window position until the time window moving is finished, and the number of the second specific time window positions is recorded.
S340: and under the condition that the number of the specific time window positions is greater than or equal to a third threshold value, judging that the seismic channel is a transmission fault channel.
In some embodiments, the third threshold may be preset. And comparing the number of the third specific time window positions with a preset third threshold value in the seismic data of the same seismic channel, and if the number of the third specific time window positions is greater than or equal to the set third threshold value, indicating that the seismic channel is a transmission fault channel.
In some embodiments, for determining that the sample values of the sampling points in the third specific time window position are both positive numbers or both negative numbers, the sample values of the adjacent sampling points in the time window position may be multiplied by each other, that is, by xk×xk+1> 0 to determine whether the samples within the time window are all positive or all negative.
In some embodiments, the first threshold may be preset. And comparing the number of the first specific time window positions with a preset first threshold value in the seismic data of the same seismic channel, and if the number of the first specific time window positions is greater than or equal to the preset first threshold value, indicating that the seismic channel is a transmission fault channel.
In some embodiments, the second threshold may be preset. And comparing the number of the second specific time window positions with a preset second threshold value in the seismic data of the same seismic channel, and if the number of the second specific time window positions is greater than or equal to the preset second threshold value, indicating that the seismic channel is a transmission fault channel.
The embodiment of the specification samples the seismic data of the seismic channel, judges whether the plus and minus symbols of the sampling point values of the sampling points are the same or not, and judges whether the sampling points with the same plus and minus symbols of the sampling point values reach a certain number or not, thereby identifying whether the seismic channel is a transmission fault channel or not, realizing automatic, quick and accurate identification of the transmission fault channel, avoiding the influence of human subjective factors, reducing labor force and improving production.
A fourth embodiment of a transmission failure lane identification method of the present specification is described below.
Fig. 4 is a schematic diagram of a fourth embodiment of a transmission failure lane identification method according to the present application, and as shown in fig. 4, the transmission failure lane identification method may include:
s410: single shot seismic data is acquired, the single shot seismic data including seismic data for at least one seismic trace.
S420: and sampling the seismic data of the seismic channel to obtain a plurality of sampling points.
S430: moving a time window with a preset length on the seismic data by a preset step length; recording the number of the first specific time window positions in the moving process; the sample values of the sampling points within the first specific time window position are all the same.
In some embodiments, for the seismic data of each seismic trace, during the time window moving process, it may be detected whether sampling point values of sampling points in the time window are all the same, and if they are all the same, the time window position is marked as a first specific time window position until the time window moving is finished, and the number of the first specific time window positions is recorded.
S440: it is determined whether the number of first particular time window positions is greater than or equal to a first threshold.
In the seismic data of the same seismic channel, comparing the number of the first specific time window positions with a preset first threshold, judging whether the number of the first specific time window positions is greater than or equal to the first threshold, if so, jumping to S490, otherwise, entering S450.
S450: recording the number of second specific time window positions during the moving process; the sample values of the sampling points in the second specific time window position are all zero.
In some embodiments, for the seismic data of each seismic trace, during the time window moving process, it may be detected whether sampling point values of sampling points in the time window are all zero, and if all sampling point values are all zero, the time window position is marked as a second specific time window position until the time window moving is finished, and the number of the second specific time window positions is recorded.
S460: it is determined whether the number of second particular time window positions is greater than or equal to a second threshold.
And in the seismic data of the same seismic channel, comparing the number of the second specific time window positions with a preset second threshold, judging whether the number of the second specific time window positions is greater than or equal to the second threshold, if so, jumping to S490, and otherwise, entering S470.
S470: recording the number of third specific time window positions during the moving process; and the sample values of the sampling points in the third specific time window position are all positive numbers or all negative numbers.
In some embodiments, for the seismic data of each seismic trace, during the time window moving process, it may be detected whether sampling point values of sampling points in the time window are all positive numbers or all negative numbers, and if the sampling point values are all positive numbers or all negative numbers, the time window position is marked as a third specific time window position until the time window moving is finished, and the number of the third specific time window positions is recorded.
S480: it is determined whether the number of third particular time window positions is greater than or equal to a third threshold.
And in the seismic data of the same seismic channel, comparing the number of the third specific time window positions with a preset third threshold, judging whether the number of the third specific time window positions is greater than or equal to the third threshold, if so, entering S490, otherwise, jumping to S420, and detecting the next seismic channel until all seismic channels in the single-shot seismic data are monitored.
S490: and judging the seismic channel as a transmission fault channel.
For single-shot seismic data, firstly, judging whether a certain seismic channel is a transmission fault channel, if the sampling point value of a sampling point in the seismic data of the seismic channel is abnormal, judging that the seismic channel is the transmission fault channel, otherwise, judging another seismic channel until all the seismic channels in the single-shot seismic data are judged completely.
For clarity of explanation of the benefits of the embodiments of the present disclosure, reference is made to the following description with reference to fig. 5:
fig. 5 is a single-shot seismic data graph processed by the transmission fault channel identification method disclosed in the embodiment of the present specification, and as shown in fig. 5, as can be seen from the left part and the right part of fig. 5, the single-shot seismic data graph is coherent, which indicates that the seismic channels are all seismic channels with normal transmission, and the middle part of fig. 5 is a vertical line, which is obviously incoherent with the left part and the right part in the figure, so that the seismic channel of the part is a transmission fault channel.
In the method for identifying a transmission fault channel disclosed in the above embodiment, the seismic data of the seismic channel is sampled, and whether the sampling point value of the sampling point is abnormal or not is judged, so that whether the seismic channel is the transmission fault channel or not is identified. The method can be used for monitoring the seismic acquisition quality, and dynamically monitoring the quality of the seismic data during acquisition in real time; meanwhile, the method can be used for indoor seismic data preprocessing, can automatically, quickly and accurately identify the transmission fault channel, avoids the influence of subjective factors of people, reduces labor force and improves productivity.
The embodiment of the present specification also provides a transmission fault channel recognition apparatus, as described in the following embodiment. Because the principle of the transmission fault channel recognition device for solving the problems is similar to that of the transmission fault channel recognition method, the implementation of the transmission fault channel recognition device can refer to the implementation of the transmission fault channel recognition method, and repeated parts are not described again. The term "module" used below may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 6 is a functional block diagram of a first embodiment of a transport-failure-lane recognition apparatus according to an embodiment of the present disclosure, and as shown in fig. 6, the transport-failure-lane recognition apparatus includes: the system comprises a single-shot seismic data acquisition module 610, a sampling module 620, a time window moving module 630 and a transmission fault channel identification module 640.
The single-shot seismic data acquisition module 610 is configured to acquire single-shot seismic data, where the single-shot seismic data includes seismic data of at least one seismic trace.
And the sampling module 620 is configured to sample the seismic data of the seismic trace to obtain a plurality of sampling points.
A time window moving module 630, configured to move a time window with a preset length on the seismic data by a preset step length; recording the number of the first specific time window positions in the moving process; the sample values of the sampling points within the first specific time window position are all the same.
And the transmission fault channel identification module 640 is configured to determine that the seismic channel is a transmission fault channel under the condition that the number of the first specific time window positions is greater than or equal to a first threshold value.
A second embodiment of a conveyance failure lane recognition apparatus of the present specification will be described.
Fig. 7 is a second functional block diagram of a transport-failure-lane recognition apparatus according to an embodiment of the present disclosure, and as shown in fig. 7, the transport-failure-lane recognition apparatus includes: the single shot seismic data acquisition module 710, the sampling module 720, the time window moving module 730, and the transmission fault channel identification module 740.
The single-shot seismic data acquisition module 710 is configured to acquire single-shot seismic data, where the single-shot seismic data includes seismic data of at least one seismic trace.
And the sampling module 720 is used for sampling the seismic data of the seismic channel to obtain a plurality of sampling points.
A time window moving module 730, configured to move a time window with a preset length on the seismic data by a preset step length; recording the number of the second specific time window positions in the moving process; the sample values of the sampling points in the second specific time window position are all zero.
And the transmission fault channel identification module 740 is configured to determine that the seismic channel is a transmission fault channel under the condition that the number of the second specific time window positions is greater than or equal to a second threshold value.
A third embodiment of a conveyance failure lane recognition apparatus of the present specification is described below.
Fig. 8 is a functional block diagram of a transmission-failure-lane recognition apparatus according to an embodiment of the present disclosure, and as shown in fig. 8, the transmission-failure-lane recognition apparatus includes: the system comprises a single-shot seismic data acquisition module 810, a sampling module 820, a time window moving module 830 and a transmission fault channel identification module 840.
The single-shot seismic data acquisition module 810 is configured to acquire single-shot seismic data, where the single-shot seismic data includes seismic data of at least one seismic trace.
And the sampling module 820 is used for sampling the seismic data of the seismic channel to obtain a plurality of sampling points.
A time window moving module 830, configured to move a time window with a preset length on the seismic data by a preset step length; recording the number of the third specific time window positions in the moving process; and the sample values of the sampling points in the third specific time window position are all positive numbers or all negative numbers.
And the transmission fault channel identification module 840 is configured to determine that the seismic channel is a transmission fault channel under the condition that the number of the third specific time window positions is greater than or equal to a third threshold value.
In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate a dedicated integrated circuit chip 2. Furthermore, nowadays, instead of manually making an integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Language Description Language), traffic, pl (core unified Programming Language), HDCal, JHDL (Java Hardware Description Language), langue, Lola, HDL, laspam, hardward Description Language (vhr Description Language), vhjhdul, vhr Description Language, and vhr-Language, which are currently used in most common. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
From the above description of the embodiments, it is clear to those skilled in the art that the present specification can be implemented by software plus a necessary general hardware platform. Based on such understanding, the technical solutions of the present specification may be essentially or partially implemented in the form of software products, which may be stored in a storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and include instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments of the present specification.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The description is operational with numerous general purpose or special purpose computing system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet-type devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
This description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
While the specification has been described with examples, those skilled in the art will appreciate that there are numerous variations and permutations of the specification that do not depart from the spirit of the specification, and it is intended that the appended claims include such variations and modifications that do not depart from the spirit of the specification.
Claims (15)
1. A transmission failure lane identification method, the method comprising:
acquiring single-shot seismic data, wherein the single-shot seismic data comprise seismic data of at least one seismic channel;
sampling seismic data of a seismic channel to obtain a plurality of sampling points;
moving a time window with a preset length on the seismic data by a preset step length; recording the number of the first specific time window positions in the moving process; the sample values of the sampling points in the first specific time window position are the same;
and under the condition that the number of the first specific time window positions is greater than or equal to a first threshold value, judging that the seismic channel is a transmission fault channel.
2. The transmission-failure-lane identification method of claim 1, wherein the method further comprises:
recording the number of second specific time window positions during the moving process; the sample values of the sampling points in the second specific time window position are all zero;
and under the condition that the number of the second specific time window positions is greater than or equal to a second threshold value, judging that the seismic channel is a transmission fault channel.
3. The transmission-failure-lane identification method of claim 1, wherein the method further comprises:
recording the number of third specific time window positions during the moving process; sample point values of sampling points in the third specific time window position are all positive numbers or all negative numbers;
and under the condition that the number of the third specific time window positions is greater than or equal to a third threshold value, judging that the seismic channel is a transmission fault channel.
4. The method for identifying transmission failure channels according to claim 3, wherein judging whether the sample values of the sampling points in the third specific time window position are all positive numbers or all negative numbers comprises:
and multiplying the sample point values of adjacent sampling points in the time window position by two, and if the products are all larger than zero, judging that the sample point values of the sampling points in the time window position are all positive numbers or all negative numbers.
5. A transmission failure lane identification method, the method comprising:
acquiring single-shot seismic data, wherein the single-shot seismic data comprise seismic data of at least one seismic channel;
sampling seismic data of a seismic channel to obtain a plurality of sampling points;
moving a time window with a preset length on the seismic data by a preset step length; recording the number of the second specific time window positions in the moving process; the sample values of the sampling points in the second specific time window position are all zero;
and under the condition that the number of the second specific time window positions is greater than or equal to a second threshold value, judging that the seismic channel is a transmission fault channel.
6. The transmission-failure-lane identification method of claim 5, wherein the method further comprises:
recording the number of first specific time window positions during the moving process; the sample values of the sampling points in the first specific time window position are the same;
and under the condition that the number of the first specific time window positions is greater than or equal to a first threshold value, judging that the seismic channel is a transmission fault channel.
7. The transmission-failure-lane identification method of claim 5, wherein the method further comprises:
recording the number of third specific time window positions during the moving process; sample point values of sampling points in the third specific time window position are all positive numbers or all negative numbers;
and under the condition that the number of the third specific time window positions is greater than or equal to a third threshold value, judging that the seismic channel is a transmission fault channel.
8. The method for identifying transmission failure channels according to claim 7, wherein judging whether the sample values of the sampling points in the third specific time window position are all positive numbers or all negative numbers comprises:
and multiplying the sample point values of adjacent sampling points in the time window position by two, and if the products are all larger than zero, judging that the sample point values of the sampling points in the time window position are all positive numbers or all negative numbers.
9. A transmission failure lane identification method, the method comprising:
acquiring single-shot seismic data, wherein the single-shot seismic data comprise seismic data of at least one seismic channel;
sampling seismic data of a seismic channel to obtain a plurality of sampling points;
moving a time window with a preset length on the seismic data by a preset step length; recording the number of the third specific time window positions in the moving process; sample point values of sampling points in the third specific time window position are all positive numbers or all negative numbers;
and under the condition that the number of the third specific time window positions is greater than or equal to a third threshold value, judging that the seismic channel is a transmission fault channel.
10. The method for identifying transmission failure channels according to claim 9, wherein judging whether the sample values of the sampling points in the third specific time window position are all positive numbers or all negative numbers comprises:
and multiplying the sample point values of adjacent sampling points in the time window position by two, and if the products are all larger than zero, judging that the sample point values in the time window position are all positive numbers or all negative numbers.
11. The transmission-failure-lane identification method of claim 9, wherein the method further comprises:
recording the number of first specific time window positions during the moving process; the sample values of the sampling points in the first specific time window position are the same;
and under the condition that the number of the first specific time window positions is greater than or equal to a first threshold value, judging that the seismic channel is a transmission fault channel.
12. The transmission-failure-lane identification method of claim 9, wherein the method further comprises:
recording the number of second specific time window positions during the moving process; the sample values of the sampling points in the second specific time window position are all zero;
and under the condition that the number of the second specific time window positions is greater than or equal to a second threshold value, judging that the seismic channel is a transmission fault channel.
13. A transmission-failure-lane recognition apparatus, comprising:
the single-shot seismic data acquisition module is used for acquiring single-shot seismic data, and the single-shot seismic data comprises seismic data of at least one seismic channel;
the sampling module is used for sampling the seismic data of the seismic channel to obtain a plurality of sampling points;
the time window moving module is used for moving a time window with a preset length on the seismic data by a preset step length; recording the number of the first specific time window positions in the moving process; the sample values of the sampling points in the first specific time window position are the same;
and the transmission fault channel identification module is used for judging the seismic channel as a transmission fault channel under the condition that the number of the first specific time window positions is greater than or equal to a first threshold value.
14. A transmission-failure-lane recognition apparatus, comprising:
the single-shot seismic data acquisition module is used for acquiring single-shot seismic data, and the single-shot seismic data comprises seismic data of at least one seismic channel;
the sampling module is used for sampling the seismic data of the seismic channel to obtain a plurality of sampling points;
the time window moving module is used for moving a time window with a preset length on the seismic data by a preset step length; recording the number of the second specific time window positions in the moving process; the sample values of the sampling points in the second specific time window position are all zero;
and the transmission fault channel identification module is used for judging the seismic channel as a transmission fault channel under the condition that the number of the second specific time window positions is greater than or equal to a second threshold value.
15. A transmission-failure-lane recognition apparatus, comprising:
the single-shot seismic data acquisition module is used for acquiring single-shot seismic data, and the single-shot seismic data comprises seismic data of at least one seismic channel;
the sampling module is used for sampling the seismic data of the seismic channel to obtain a plurality of sampling points;
the time window moving module is used for moving a time window with a preset length on the seismic data by a preset step length; recording the number of the third specific time window positions in the moving process; sample point values of sampling points in the third specific time window position are all positive numbers or all negative numbers;
and the transmission fault channel identification module is used for judging the seismic channel as a transmission fault channel under the condition that the number of the third specific time window positions is greater than or equal to a third threshold value.
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