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Geostatistical method for variation function simulation of surface spatial data of seas and mountains

A technology of geostatistics and surface space, applied in the field of geostatistics, can solve the problems that traditional methods cannot be effective, KRIGING estimation cannot be performed, etc.

Active Publication Date: 2016-05-25
THE FIRST INST OF OCEANOGRAPHY SOA
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Problems solved by technology

[0005] Define 3D-Surface regionalization variables; 3D surface regionalization variables have their particularity, which makes traditional methods ineffective. For 3D-Surface regionalization variables such as seamount surface spatial data, the variogram calculation cannot be performed, and KRIGING estimation cannot be performed

Method used

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  • Geostatistical method for variation function simulation of surface spatial data of seas and mountains
  • Geostatistical method for variation function simulation of surface spatial data of seas and mountains
  • Geostatistical method for variation function simulation of surface spatial data of seas and mountains

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Embodiment

[0063] Such as figure 1 As shown, use Z to represent a random variable, which is a function of coordinates, and expressed by Z(x, y, v), which is a vector function in a typical three-dimensional coordinate system; for example, this random variable can represent a certain three-dimensional sea area salinity within , in the domain of There is a definite salinity value at any point in ; the domain or random field of this typical three-dimensional random variable has both length, width and thickness, that is, values ​​can be taken continuously in the three coordinate directions of z.

[0064] Such as figure 2 As shown, the cobalt-rich crust parameters on the surface of the seamount slope are regarded as random variables, which belong to the 3D surface random variable (3DSurfaceRandomVariable), and are expressed by Z(x, y, dp). For the experimental data, Z(x, y, dp) represents the thickness data of cobalt-rich crusts on a slope at a water depth of dp at a geographic location ...

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Abstract

The invention discloses a geostatistical method for variation function simulation of surface spatial data of seas and mountains. The geostatistical method includes: defining 3D-Surface regionalized variables; calculating according to a variation function based on 'distance-gradient' or 'distance-relative water depth' to fit a range to a gradient continuous function; performing KRIGING valuation.

Description

technical field [0001] The present invention relates to the fields of geostatistics, variogram, marine geology, and quantitative evaluation of mineral resources. Difference function simulation and geostatistical interpolation. Background technique [0002] At present, the mineral resource data produced on the seamount surface is used as a model to define a 3D-Surface regionalization variable: continuous values ​​are taken on two-dimensional geographic coordinates, and only unique values ​​are available on three-dimensional space. A certain geographic coordinate point only corresponds to the third-dimensional space The unique value of , that is, the water depth data does not take continuous values ​​vertically like 3D spatial data, and only has unique values ​​at a certain geographical point; in addition, the parameter distribution on the three-dimensional surface space is not controlled by the direction, but only by the relative change of the third-dimensional space; Tradit...

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Application Information

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IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 杜德文闫仕娟杜晓蒙朱志伟杨刚王春娟宋庆磊
Owner THE FIRST INST OF OCEANOGRAPHY SOA
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