CN104122586A - Wireless node data monitoring method of seismic exploration - Google Patents
Wireless node data monitoring method of seismic exploration Download PDFInfo
- Publication number
- CN104122586A CN104122586A CN201310144091.1A CN201310144091A CN104122586A CN 104122586 A CN104122586 A CN 104122586A CN 201310144091 A CN201310144091 A CN 201310144091A CN 104122586 A CN104122586 A CN 104122586A
- Authority
- CN
- China
- Prior art keywords
- node
- data
- feature
- loose
- coordinate
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Landscapes
- Geophysics And Detection Of Objects (AREA)
- Position Fixing By Use Of Radio Waves (AREA)
Abstract
The invention relates to a method of effective analyzing and monitoring of data collected by nodes of the seismic exploration wireless node collection project. Original data of a node are organized according to work areas and measuring lines; an actual coordinate value and a node setting-out theoretical coordinate value are displayed in a graph mode by using GPS; and position dilution of precision (PDOP), horizontal dilution of precision (HDOP), Phase and satellite information are display in a graph mode and an environment or hardware quality interference factor is determined by an adjacent node comparison checking abnormity value, thereby realizing node monitoring. According to the invention, data downloaded by the node is processed by starting from the mechanism of node acquisition, thereby forming tangible information. Therefore, a good means is provided for determining the acquisition state and quality of the node; and an objective of node monitoring is achieved.
Description
Technical field
The present invention be directed to seismic prospecting radio node and gather project, the data of node collection are effectively analyzed and monitored.
Background technology
Along with the development in pluralism in seismic acquisition region, the wired collection of conventional instrument exposes increasing drawback, and the collection manpower and the cost that need are very high, meanwhile, have great difficulty in the construction of complicated earth surface and high-risk area.It is few that radio node collection not only takies personnel amount, can freely put flexibly very much at complicated earth surface, reduce and crossed over and climbing, that embodies at high-risk area is particularly evident simultaneously, due to field give away one's position little, high-risk area be difficult for lose and reduce casualties.
So the acquisition mode that this collection is wireless, autonomous, node type is collected in the whole body is climbed up stage gradually, becomes the important trend that Future Earthquakes gathers.Current, the companies such as Sercel, ION, OYO have released the node collecting device product of oneself successively, it is supporting that the rig-site utilization of node collection needs certain method of quality control and system to carry out, but at present supporting system of quality control unsound does not have ripe quality control method targetedly.
Summary of the invention
The object of the invention is to provide a kind of information of tangibility that forms for acquisition state and the quality of user's decision node, reaches a kind of seismic prospecting radio node data quality monitoring technology to monitoring nodes.
The present invention realizes by following steps:
1) field acquisition geological data, downloads by node the raw data obtaining and arranges according to work area and survey line respectively; Described arrangement is that the data of same survey line are put together.
2) utilizing the GPS(GPS of field acquisition) log file calculates true coordinate:
Described calculating true coordinate step is:
First,, with the loose point of free radius circle search region, the maximum region of loose some number of dropping in circle is the concentrated region of loose point;
Then, use the radius dwindling to carry out binary search in the concentrated region of loose point, select a loose maximum Jiang Sandian concentrated area, region of number to dwindle; The center of circle of loose maximum circle of counting is loose point focusing center, and the coordinate at loose point focusing center is exactly the true coordinate value of node;
Described free radius is 1-3 rice.
The described radius dwindling is 0.2-0.6 rice.
3) the theoretical coordinate value of the indoor design during by true coordinate value and node setting-out shows with graphics mode in the lump, obtains node position situation in the wild;
4) PDOP in node data (position dilution of precision), HDOP (error degree of horizontal coordinate precision), Phase (phase place) and the satellite information of counting are shown with graphics mode, by adjacent node comparison check exceptional value, determine environment or quality of hardware disturbing factor;
It is to represent the time with transverse axis that described graphics mode shows, the longitudinal axis represents the value that this time is corresponding.
The simple programs such as described graphics mode is by Excel or Surfer, Coreldraw are realized.
The described border of fixed ring really or quality of hardware disturbing factor are; Carry out exceptional value comparison check and point of proximity inspection, the number of satellite of certain node is few, and around neighbor node satellite reception number is all normal, and judgement is not weather environment reason, is equipment failure;
If around node number of satellite is also all lacked, judgement is that weather or landform reason cause, and the quality of hardware of node own is no problem.
5) by temperature in node gps data and storage battery information with step 2) graphics mode shows, with the contrast of point of proximity, determine power down than storage battery faster and change;
6) by the RMS amplitude of node with step 2) graphics mode shows, determines that the environmental noise in node field during gathering and source signal intensity and ambient noise level are along with daily cycle situation of change;
7) the raw data of node continuous acquisition by the wire size of shot point, pile No., coordinate, sweep time, scan type, phase place, exert oneself, distortion, GPS quality factor information by row separately, generate SIT (the super information table of Super Information Table) file;
The data file of SIT file and node every day is calculated and generated common detector gather or common-shot-gather data;
Calculating generation method described in step 7) is: utilize blowing out the time of every big gun in SIT file, in the corresponding time of node data, intercept corresponding data segment, then according to the positional information of shot point, corresponding data segment is placed in corresponding locus and is gone, just form common detector gather, common detector gather is carried out to order rearrangement, can form common-shot-gather;
8) common detector gather data or common-shot-gather data are carried out to time slice extraction along time coordinate, generate the different time degree of depth and the interlude section of each node, demonstrate the collection effect of node, isotropy or the anisotropy situation of surrounding medium, realize monitoring nodes.
The present invention starts with from the mechanism of node collection, and the data that node is downloaded are processed, and forms the information of tangibility, for acquisition state and the quality of decision node provide good means, reaches the object to monitoring nodes quality.
Brief description of the drawings
Fig. 1 is the position Quality Control result to node data;
Fig. 2 is to node PDOP value monitored results;
Fig. 3 is to node temperature monitored results;
Fig. 4 is the monitored results to node ambient noise level;
Fig. 5 is the SIT sheet format file of seismic source information, and Fig. 5 (a) is left-half, and Fig. 5 (b) is right half part;
Fig. 6 is that the time slice of node image data shows result.
Embodiment
Describe the present invention in detail below in conjunction with accompanying drawing.
Realize by following steps:
1) field acquisition geological data, downloads by node the raw data obtaining and arranges according to work area and survey line respectively; Described arrangement is that the data of same survey line are put together.
2) utilizing the GPS(GPS of field acquisition) log file calculates true coordinate:
Described calculating true coordinate step is:
First,, with the loose point of free radius circle search region, the maximum region of loose some number of dropping in circle is the concentrated region of loose point;
Then, use the radius dwindling to carry out binary search in the concentrated region of loose point, select a loose maximum Jiang Sandian concentrated area, region of number to dwindle; The center of circle of loose maximum circle of counting is loose point focusing center, and the coordinate at loose point focusing center is exactly the true coordinate value of node;
Described free radius is 1-3 rice.
The described radius dwindling is 0.2-0.6 rice.
3) the theoretical coordinate value of the indoor design during by true coordinate value and node setting-out shows with graphics mode in the lump, obtains node position situation in the wild; As shown in Figure 1, be the coordinate comparison diagram that shows multiple nodes on a survey line, in each node coordinate figure, transverse axis represents longitude, and the longitudinal axis represents latitude, and there is sequence number, wire size and the pile No. of node figure top.
4) PDOP in node data (position dilution of precision), HDOP (error degree of horizontal coordinate precision), Phase (phase place) and the satellite information of counting are shown with graphics mode, then by adjacent node comparison check exceptional value, determine environment or quality of hardware disturbing factor;
It is to represent the time with transverse axis that described graphics mode shows, the longitudinal axis represents the value that this time is corresponding.Fig. 2 is that the figure of PDOP shows, transverse axis represents the time (which date), and the longitudinal axis represents the size of PDOP value.
The simple programs such as described graphics mode is by Excel or Surfer, Coreldraw are realized.
The described border of fixed ring really or quality of hardware disturbing factor are; Carry out exceptional value comparison check and point of proximity inspection, the number of satellite of certain node is few, and around neighbor node satellite reception number is all normal, and judgement is not weather environment reason, is equipment failure;
If around node number of satellite is also all lacked, judgement is that weather or landform reason cause, and the quality of hardware of node own is no problem.
5) by temperature in node gps data and storage battery information with step 2) graphics mode shows, with the contrast of point of proximity, determines power down than fast storage battery and change; Shown in Fig. 3, be the figure demonstration of node temperature, transverse axis represents the time, longitudinal axis representation temperature.
6) by the RMS amplitude of node with step 2) graphics mode shows, determines that the environmental noise in node field during gathering and source signal intensity and ambient noise level are along with daily cycle situation of change; Fig. 4 is that the RMS amplitude figure of certain node shows, transverse axis represents the time, and the longitudinal axis represents RMS amplitude value.
7) the raw data of node continuous acquisition by the wire size of shot point, pile No., coordinate, sweep time, scan type, phase place, exert oneself, distortion, GPS quality factor information by row separately, generate SIT (the super information table of Super Information Table-)) file; Fig. 5 is a SIT table example, is divided into left and right two parts and shows, in table, every a line represents the information of single pass.
The data file of SIT file and node every day is calculated and generated common detector gather or common-shot-gather data;
Calculating generation method described in step 7) is: utilize blowing out the time of every big gun in SIT file, in the corresponding time of node data, intercept corresponding data segment, then according to the positional information of shot point, corresponding data segment is placed in corresponding locus and is gone, just form common detector gather, common detector gather is carried out to order rearrangement, can form common-shot-gather;
8) common detector gather data or common-shot-gather data are carried out to time slice extraction along time coordinate, generate the different time degree of depth and the interlude section of each node, demonstrate the collection effect of node, isotropy or the anisotropy situation of surrounding medium, realize monitoring nodes.
Fig. 6 is that the section of certain node different time degree of depth shows, the data that can see each node collection are donuts, have represented that it is all more uniform having recorded from the seismic source energy of different directions.The larger radius of a circle of time depth is larger, and energy is more weak (color relation is more shallow) just.
The present invention can select various node apparatus, as GSR(node device), acquisition parameter is as shown in the table:
Table 1 acquisition parameter table
Node type | GSR |
Node grid | 200m*200m |
Road number | 5700 |
Recording mode | Continuous recording |
Sampling rate | 2ms |
Data type | Segd |
Claims (9)
1. a seismic prospecting radio node data quality monitoring method, feature is to realize by following steps:
1) field acquisition geological data, downloads by node the raw data obtaining and arranges according to work area and survey line respectively;
2) utilize the GPS log file of field acquisition to calculate true coordinate:
3) the theoretical coordinate value of the indoor design during by true coordinate value and node setting-out shows with graphics mode in the lump, obtains node position situation in the wild;
4) error degree, phase place and the satellite information of counting of the position dilution of precision in node data, horizontal coordinate precision is shown with graphics mode, by adjacent node comparison check exceptional value, determine environment or quality of hardware disturbing factor;
5) by temperature in node gps data and storage battery information with step 2) graphics mode shows, with the contrast of point of proximity, determine power down than storage battery faster and change;
6) by the RMS amplitude of node with step 2) graphics mode shows, determines that the environmental noise in node field during gathering and source signal intensity and ambient noise level are along with daily cycle situation of change;
7) the raw data of node continuous acquisition by the wire size of shot point, pile No., coordinate, sweep time, scan type, phase place, exert oneself, distortion, position dilution of precision information by row separately, generate super information table file;
The data file of super information table file and node every day is calculated and generated common detector gather or common-shot-gather data;
8) common detector gather data or common-shot-gather data are carried out to time slice extraction along time coordinate, generate the different time degree of depth and the interlude section of each node, demonstrate the collection effect of node, isotropy or the anisotropy situation of surrounding medium, realize monitoring nodes.
2. according to the method for claim 1, feature is that the arrangement described in step 1) is that the data of same survey line are put together.
3. according to the method for claim 1, feature is step 2) described calculating true coordinate step is:
First,, with the loose point of free radius circle search region, the maximum region of loose some number of dropping in circle is the concentrated region of loose point;
Then, use the radius dwindling to carry out binary search in the concentrated region of loose point, select a loose maximum Jiang Sandian concentrated area, region of number to dwindle; The center of circle of loose maximum circle of counting is loose point focusing center, and the coordinate at loose point focusing center is exactly the true coordinate value of node.
4. according to the method for claim 3, feature is that described free radius is 1-3 rice.
5. according to the method for claim 3, feature is that the described radius dwindling is 0.2-0.6 rice.
6. according to the method for claim 1, feature is that the graphics mode described in step 4) shows it is to represent the time with transverse axis, and the longitudinal axis represents the value that this time is corresponding.
7. according to the method for claim 1, feature is that the graphics mode described in step 4) is by Excel or Surfer, and Coreldraw program realizes.
8. according to the method for claim 1, feature is that fixed ring border or quality of hardware disturbing factor are really described in step 4); Carry out exceptional value comparison check and point of proximity inspection, the number of satellite of certain node is few, and around neighbor node satellite reception number is all normal, and judgement is not weather environment reason, is equipment failure;
If around node number of satellite is also all lacked, judgement is that weather or landform reason cause, and the quality of hardware of node own is no problem.
9. according to the method for claim 1, feature is that the calculating generation method described in step 7) is: utilize blowing out the time of every big gun in super information table file, in the corresponding time of node data, intercept corresponding data segment, then according to the positional information of shot point, corresponding data segment is placed in corresponding locus and is gone, just form common detector gather, common detector gather has been carried out to order rearrangement, can form common-shot-gather.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310144091.1A CN104122586B (en) | 2013-04-24 | 2013-04-24 | Wireless node data monitoring method of seismic exploration |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310144091.1A CN104122586B (en) | 2013-04-24 | 2013-04-24 | Wireless node data monitoring method of seismic exploration |
Publications (2)
Publication Number | Publication Date |
---|---|
CN104122586A true CN104122586A (en) | 2014-10-29 |
CN104122586B CN104122586B (en) | 2017-02-08 |
Family
ID=51768073
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201310144091.1A Active CN104122586B (en) | 2013-04-24 | 2013-04-24 | Wireless node data monitoring method of seismic exploration |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104122586B (en) |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105137484A (en) * | 2015-08-28 | 2015-12-09 | 中国石油天然气集团公司 | Method and device of estimating energy value central position of earthquake data gather |
CN105866831A (en) * | 2016-05-18 | 2016-08-17 | 中国石油天然气集团公司 | Wellhead positioning device and method |
CN106772568A (en) * | 2017-01-22 | 2017-05-31 | 中国石油天然气集团公司 | Obtain method, device, system and the flight equipment of acquisition node data |
CN107589444A (en) * | 2017-07-31 | 2018-01-16 | 中国石油天然气集团公司 | The treating method and apparatus of geological data |
CN109143342A (en) * | 2018-08-23 | 2019-01-04 | 成都爱为贝思科技有限公司 | A kind of seismic prospecting wireless collection data fusion method |
CN112630828A (en) * | 2020-12-15 | 2021-04-09 | 四川吉赛特科技有限公司 | Single shot quality monitoring method for wireless node instrument seismic data acquisition system |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
RU2190241C2 (en) * | 1996-10-23 | 2002-09-27 | Вайбрейшн Текнолэджи Лимитид | System collecting seismic data and procedure to conduct seismic prospecting |
US8605543B2 (en) * | 2007-09-21 | 2013-12-10 | Fairfield Industries Incorporated | Method and apparatus for correcting the timing function in a nodal seismic data acquisition unit |
CN102288995A (en) * | 2011-07-11 | 2011-12-21 | 中国石油化工集团公司 | Seismic exploration collection quality quantitative analysis evaluation system |
-
2013
- 2013-04-24 CN CN201310144091.1A patent/CN104122586B/en active Active
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105137484A (en) * | 2015-08-28 | 2015-12-09 | 中国石油天然气集团公司 | Method and device of estimating energy value central position of earthquake data gather |
CN105137484B (en) * | 2015-08-28 | 2017-09-01 | 中国石油天然气集团公司 | The method and apparatus for estimating the center of geological data trace gather energy value |
CN105866831A (en) * | 2016-05-18 | 2016-08-17 | 中国石油天然气集团公司 | Wellhead positioning device and method |
CN105866831B (en) * | 2016-05-18 | 2018-07-13 | 中国石油天然气集团公司 | A kind of sonar-system to locate wellheads and method |
CN106772568A (en) * | 2017-01-22 | 2017-05-31 | 中国石油天然气集团公司 | Obtain method, device, system and the flight equipment of acquisition node data |
CN107589444A (en) * | 2017-07-31 | 2018-01-16 | 中国石油天然气集团公司 | The treating method and apparatus of geological data |
CN109143342A (en) * | 2018-08-23 | 2019-01-04 | 成都爱为贝思科技有限公司 | A kind of seismic prospecting wireless collection data fusion method |
CN112630828A (en) * | 2020-12-15 | 2021-04-09 | 四川吉赛特科技有限公司 | Single shot quality monitoring method for wireless node instrument seismic data acquisition system |
CN112630828B (en) * | 2020-12-15 | 2023-12-05 | 四川吉赛特科技有限公司 | Single shot quality monitoring method for wireless node instrument seismic data acquisition system |
Also Published As
Publication number | Publication date |
---|---|
CN104122586B (en) | 2017-02-08 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
JP6945895B2 (en) | Surface wave exploration methods and terminal devices | |
CN104122586A (en) | Wireless node data monitoring method of seismic exploration | |
AU2019216706B2 (en) | Iterative ray-tracing for autoscaling of oblique ionograms | |
Murray et al. | Global Positioning System data collection, processing, and analysis conducted by the US Geological Survey Earthquake Hazards Program | |
Maguya et al. | Adaptive algorithm for large scale dtm interpolation from lidar data for forestry applications in steep forested terrain | |
CN105973246A (en) | Drawing method and apparatus of geomagnetic map, and robot | |
CN105379186A (en) | Determining response similarity neighborhoods | |
Gold et al. | A terrestrial lidar-based workflow for determining three–dimensional slip vectors and associated uncertainties | |
Matano et al. | Geostructure of Coroglio tuff cliff, Naples (Italy) derived from terrestrial laser scanner data | |
Pedersen et al. | Arrival angle anomalies of Rayleigh waves observed at a broadband array: a systematic study based on earthquake data, full waveform simulations and noise correlations | |
CN106646602A (en) | Method for rapidly generating seismogram after earthquake based on multiple seismic source models | |
Aoi et al. | Multi-data integration system to capture detailed strong ground motion in the Tokyo Metropolitan Area | |
Fidani | The central Italy electromagnetic network and the 2009 L'Aquila earthquake: observed electric activity | |
CHO et al. | Constructing a system to explore shallow velocity structures using a miniature microtremor array—Accumulating and utilizing large microtremor datasets— | |
RU2352961C2 (en) | Method for determination of attitude position and parameters of inner core motion | |
Diez Zaldivar et al. | Evaluation of the event detection level of the cuban seismic network | |
CN105279305B (en) | A kind of Three Dimensional Ground laser scanner technique survey station choosing method | |
Rawlinson et al. | Derivation and implementation of a nonlinear experimental design criterion and its application to seismic network expansion at Kawerau geothermal field, New Zealand | |
CN112379412A (en) | Quality monitoring method and device for collecting seismic data | |
Campana et al. | Linking remote sensing and infra-site analysis to the reconstruction of rural settlement and landscape patterns | |
Strollo et al. | Site effects of the 2002 Molise earthquake, Italy: analysis of strong motion, ambient noise, and synthetic data from 2D modelling in San Giuliano di Puglia | |
JP7515172B2 (en) | Microtremor Observation System | |
Krommyda et al. | Integrated monitoring system for environmental and river data measurements | |
CN103837888B (en) | One determines the seismic observation system space successional method of wave field | |
Coughlin et al. | Global characterization of seismic noise with broadband seismometers |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C14 | Grant of patent or utility model | ||
GR01 | Patent grant |