CN104865595A - Shot point laying method based on unconsolidated layer identification - Google Patents
Shot point laying method based on unconsolidated layer identification Download PDFInfo
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- CN104865595A CN104865595A CN201410062529.6A CN201410062529A CN104865595A CN 104865595 A CN104865595 A CN 104865595A CN 201410062529 A CN201410062529 A CN 201410062529A CN 104865595 A CN104865595 A CN 104865595A
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Abstract
The invention relates to a laying method of shot points and detection points, especially to a shot point laying method based on unconsolidated layer identification. The simple and convenient method utilizes satellite images and remote sensing data to analyze the surface lithology, gradient and exposure in the shot point area, and improves the shot point layering efficiency and precision. The method comprises that satellite image data and remote sensing data of the shot point area are obtained; theoretical coordinates of the shot points are marked on a satellite image of the shot point area; terrain classification is carried out on the shot point area by utilizing the obtained satellite image and remote sensing data, and the surface lithology, the gradient and the exposure of the shot point area are determined at the same time; and the surface lithology, the gradient and the exposure of the theoretical coordinates of the shot points are observed, and practical coordinates of the shot points are determined again in the direction of the shot point measuring line and the direction vertical to the shot point measuring line. The method is high in shot point laying efficiency and precision, and can be widely applied to laying of shot points and detection points.
Description
Technical field
The present invention relates to a kind of big gun, cautious distribution method, be specifically related to a kind of method laying shot point based on low velocity layer identification.
Background technology
At present, in petroleum prospecting, most employing becomes more meticulous target design, utilize high-precision satellite photo, technician carries out visual analysis according to situations such as the landform on satellite photo, landforms, carry out the pointwise design that big gun is cautious, and in conjunction with field exploring, determine the rational position that big gun is cautious more accurately.
China region is wide, also all adopts in this way cautious the deploying to ensure effective monitoring and control of illegal activities of big gun of desert and mountain topography now.Although this method is easy to learn, revise the attribute of terrestrial reference easily, efficiency is low, is only suitable for for the occasion fewer at reference mark, when reference mark is a lot, adopt this Measures compare trouble, at substantial manpower and materials, and precision is low.
Summary of the invention
The present invention overcomes the deficiency that prior art exists, technical matters to be solved there is provided a kind of simple, convenient, utilize satellite image and remotely-sensed data to carry out Lithology and gradient aspect analysis to shot point region, that improves that shot point deploys to ensure effective monitoring and control of illegal activities efficiency and precision of deploying to ensure effective monitoring and control of illegal activities lays the method for shot point based on low velocity layer identification.
For solving the problems of the technologies described above, the technical solution adopted in the present invention is: a kind of method laying shot point based on low velocity layer identification, comprising:
Obtain satellite image data and the remotely-sensed data in shot point region;
The coordinate of markedness theory shot point on the satellite image in shot point region;
The satellite image of acquisition and remotely-sensed data is utilized to carry out atural object division to shot point region, determine the Lithology in shot point region, digital elevation model is set up to this shot point region simultaneously, adopt D8 algorithm to analyze shot point region, determine the gradient and the slope aspect in shot point region;
The gradient slope aspect of Observation Theory shot point coordinate and Lithology, in shot point survey line and survey line vertical direction, redefine actual shot point coordinate.
The described satellite image of acquisition and the remotely-sensed data of utilizing carries out atural object division by supervised classification method to shot point region, and different atural object extracts distributing edge, divides the Lithology in shot point region.
The gradient slope aspect of described Observation Theory shot point coordinate and Lithology, the gradient found by shot point survey line and survey line vertical direction and is less than 15 °, and Lithology elastic wave field speed is greater than the coordinate of 600m/s, redefines actual shot point coordinate.
The beneficial effect that the present invention is compared with prior art had is: the present invention is simple, convenient, satellite image and remotely-sensed data is adopted to carry out Lithology and gradient aspect analysis to shot point region, determine actual shot point coordinate, save shot point, time that geophone station is laid and cost, improve shot point and to deploy to ensure effective monitoring and control of illegal activities efficiency and to deploy to ensure effective monitoring and control of illegal activities precision; Simultaneous adaptation scope is wide, for field Point Measurement is offered help, is very easy to exploration construction.
Accompanying drawing explanation
Below in conjunction with accompanying drawing, the invention will be further described.
Fig. 1 is the schematic diagram of theoretical shot point coordinate in the present invention.
Fig. 2 is the schematic diagram on the actual shot point left side in the present invention.
Embodiment
Lay a method for shot point based on low velocity layer identification, it is characterized in that: comprising:
Obtain satellite image data and the remotely-sensed data in shot point region;
The coordinate of markedness theory shot point on the satellite image in shot point region;
The satellite image of acquisition and remotely-sensed data is utilized to carry out atural object division to shot point region, determine the Lithology in shot point region, digital elevation model is set up to this shot point region simultaneously, adopt D8 algorithm to analyze shot point region, determine the gradient and the slope aspect in shot point region;
The gradient slope aspect of Observation Theory shot point coordinate and Lithology, in shot point survey line and survey line vertical direction, redefine actual shot point coordinate.
The described satellite image of acquisition and the remotely-sensed data of utilizing carries out atural object division by supervised classification method to shot point region, and different atural object extracts distributing edge, divides the Lithology in shot point region.
The gradient slope aspect of described Observation Theory shot point coordinate and Lithology, the gradient found by shot point survey line and survey line vertical direction and is less than 15 °, and Lithology elastic wave field speed is greater than the coordinate of 600m/s, redefines actual shot point coordinate.
Utilize satellite image and the remotely-sensed data in existing technical limit spacing shot point region in the present invention, and in satellite image the coordinate of markedness theory shot point, position as Suo Shi " o " in Fig. 1, multiple shot point coordinates point-blank form the shot point lines of observation.
Then by supervised classification method, terrain classification is carried out to satellite image, extract the distributing edge of different atural object, determine the Lithology of different atural object, as: gravel, carbonatite or desert etc., wherein mark the Lithology of notable difference; Set up the digital elevation model in shot point region by remotely-sensed data in conjunction with satellite image, utilizing D8 algorithm to carry out gradient aspect analysis to shot point region, determine the steepest gradient in shot point region, and marking descending for the gradient; Check gradient slope aspect and the Lithology of theoretical shot point coordinate, actual shot point coordinate is redefined along the line of observation and line of observation vertical direction, wherein determine that principle is with according to existing lithology and the elastic wave table of comparisons, find out the gradient and be less than 15 °, Lithology elastic wave field speed is greater than the coordinate of 600m/s, with this coordinate for actual shot point coordinate, as shown in Figure 2; This shot point supervision method is simple, convenient, and shot point efficiency of deploying to ensure effective monitoring and control of illegal activities is high, and precision of deploying to ensure effective monitoring and control of illegal activities is high, is applicable to wider.
By reference to the accompanying drawings inventive embodiment is explained in detail above; but the present invention is not limited to above-described embodiment; in the ken that those of ordinary skill in the art possess; various change can also be made obtaining under the prerequisite not departing from present inventive concept, also should be considered as protection scope of the present invention.
Claims (3)
1. lay a method for shot point based on low velocity layer identification, it is characterized in that: comprising:
Obtain satellite image data and the remotely-sensed data in shot point region;
The coordinate of markedness theory shot point on the satellite image in shot point region;
The satellite image of acquisition and remotely-sensed data is utilized to carry out atural object division to shot point region, determine the Lithology in shot point region, digital elevation model is set up to this shot point region simultaneously, adopt D8 algorithm to analyze shot point region, determine the gradient and the slope aspect in shot point region;
The gradient slope aspect of Observation Theory shot point coordinate and Lithology, on the shot point line of observation and line of observation vertical direction, redefine actual shot point coordinate.
2. a kind of method laying shot point based on low velocity layer identification according to claim 1, it is characterized in that: the described satellite image of acquisition and the remotely-sensed data of utilizing carries out atural object division by supervised classification method to shot point region, different atural object extracts distributing edge, divides the Lithology in shot point region.
3. a kind of method laying shot point based on low velocity layer identification according to claim 1, it is characterized in that: the gradient slope aspect of described Observation Theory shot point coordinate and Lithology, the shot point line of observation and line of observation vertical direction find the gradient and is less than 15 °, Lithology elastic wave field speed is greater than 6 (), and (coordinate of m/s redefines actual shot point coordinate.
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CN201410062529.6A CN104865595A (en) | 2014-02-25 | 2014-02-25 | Shot point laying method based on unconsolidated layer identification |
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CN201410062529.6A CN104865595A (en) | 2014-02-25 | 2014-02-25 | Shot point laying method based on unconsolidated layer identification |
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112114354A (en) * | 2019-06-21 | 2020-12-22 | 中国石油天然气集团有限公司 | Mountain three-dimensional seismic exploration excitation point position optimization method and device |
CN113050156A (en) * | 2019-12-27 | 2021-06-29 | 中国石油天然气集团有限公司 | Desert area seismic acquisition wave detection point optimization method and device |
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2014
- 2014-02-25 CN CN201410062529.6A patent/CN104865595A/en active Pending
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112114354A (en) * | 2019-06-21 | 2020-12-22 | 中国石油天然气集团有限公司 | Mountain three-dimensional seismic exploration excitation point position optimization method and device |
CN112114354B (en) * | 2019-06-21 | 2024-03-05 | 中国石油天然气集团有限公司 | Mountain three-dimensional seismic exploration excitation point position optimization method and device |
CN113050156A (en) * | 2019-12-27 | 2021-06-29 | 中国石油天然气集团有限公司 | Desert area seismic acquisition wave detection point optimization method and device |
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