Method for estimating geothermal gradient and device for estimating geothermal gradient
First Claim
1. A method for estimating a geothermal gradient, the method comprising calculating a seismic wave crustal attenuation characteristic parameter of a measured seismic wave at each of a plurality of points on the basis of seismic wave information measured for the plurality of points;
- deriving an artificial neural network relational formula on the basis of the seismic wave crustal attenuation characteristic parameter; and
calculating a geothermal gradient of an area of interest except for the positions on the basis of the artificial neural network relational formula.
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Abstract
The present invention relates to a method for estimating a geothermal gradient and an apparatus for estimating a geothermal gradient, and provides a method for estimating a geothermal gradient, the method comprising the steps of: calculating, at each of a plurality of points, a seismic wave crustal attenuation characteristic parameter of a seismic wave measured on the basis of the measured seismic wave information, with respect to the plurality of points; deriving an artificial neural network relational formula on the basis of the seismic wave crustal attenuation characteristic parameter; and calculating a geothermal gradient of an area of interest excluding the plurality of points on the basis of the artificial neural network relational formula, such that the geothermal gradient is estimated at a low cost by using a highly reliable method.
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Citations
13 Claims
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1. A method for estimating a geothermal gradient, the method comprising calculating a seismic wave crustal attenuation characteristic parameter of a measured seismic wave at each of a plurality of points on the basis of seismic wave information measured for the plurality of points;
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deriving an artificial neural network relational formula on the basis of the seismic wave crustal attenuation characteristic parameter; and calculating a geothermal gradient of an area of interest except for the positions on the basis of the artificial neural network relational formula. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method for estimating a geothermal gradient, the method comprising:
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configuring an artificial neural network relational formula by using a seismic wave crustal attenuation characteristic parameter, a topographic characteristic parameter, and a crustal heterogeneity parameter calculated about a plurality of points as input of the artificial neural network and by using geothermal gradients measured for the plurality of points as output of the artificial neural network; calculating artificial neural network relational formulae, in which a relationship between the measured geothermal gradients and a geothermal gradient value calculated on the basis of an artificial neural network satisfies a predetermined condition, as much as a predetermined number; calculating a plurality of geothermal gradient estimation values by inputting a seismic wave crustal attenuation characteristic parameter, a topographic characteristic parameter, and a crustal heterogeneity parameter at an area of interest except for the plurality of joints, into the calculated artificial neural network relational formulae; and calculating a final geothermal gradient estimation value by calculating a statistic value for the plurality of geothermal gradient estimation values. - View Dependent Claims (9, 10, 11, 12)
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13. A device for estimating a geothermal gradient, the device comprising:
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a parameter extraction unit extracting a parameter showing a characteristic of input information; an artificial neural network relational formula calculation unit calculating an artificial neural network relational formula having the parameter calculated by the parameter extraction unit as input; and a geothermal gradient estimation unit calculating a geothermal gradient estimation value by inputting parameters at an area of interest extracted by the parameter extraction unit into an artificial neural network relational formula calculated by the artificial neural network relational formula calculation unit, wherein the parameter extracted by the parameter extraction unit includes a seismic wave crustal attenuation characteristic parameter, a topographic characteristic parameter, and a crustal heterogeneity parameter, and the artificial neural network relational formula calculation unit calculates the artificial neural network relational formula on the basis of parameters extracted at a plurality of points by the parameter extraction unit and geothermal gradients measured at the plurality of points.
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Specification