Browsing by Author "Hsieh, Yueh-Hsun"

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SEISMIC HYPERBOLIC PATTERN DETECTION AND VELOCITY ANALYSIS BY SIMULATED ANNEALING
(2009)
Huang, Kuo-Chen
;
Huang, Kou-Yuan
;
Wang, Luke K.
;
Chou, Ying-Liang
;
Hsieh, Yueh-Hsun
Simulated annealing (SA) is adopted to detect the parameters of line, circle, ellipse, and hyperbola. The equation of pattern is defined under translation and rotation. The parameters of the pattern are learned with probability in SA The proposed SA parameter detection system can search a set of parameter vectors for the global minimal error. In the seismic experiments, the system can well detect line of direct wave and hyperbola of reflection wave in the real seismic data. In the seismic data processing, the reflection curves on common depth reflection point (CDP) gathers are hyperbolic patterns. So using SA, the parameters of each hyperbolic pattern can be detected. The parameters are used to calculate the root-mean-squared velocity V-rms. The V-rms is used to the normal-moveout (NMO) correction and stacking to reconstruct the image of the subsurface. Using the result of SA hyperbolic parameter detection, it is a novel method in the seismic velocity analysis.
Simulated Annealing for Pattern Detection and Seismic Analysis
(2009)
Huang, Kou-Jen
;
Huang, Kou-Yuan
;
Wang, Luke K.
;
Chou, Ying-Liang
;
Hsieh, Yueh-Hsun
Simulated annealing (SA) is adopted to detect the parameters of line, circle, ellipse, and hyperbola. The equation of pattern is defined under translation and rotation. The distance from all points to all patterns is defined as the system error. Also we use the minimum error to determine the number of patterns. The parameters of the pattern are learned with probability in SA. The proposed SA parameter detection system can search a set of parameter vectors for the global minimal error. In the seismic experiments, the system can well detect line of direct wave and hyperbola of reflection wave in the real seismic data. In the seismic data processing, the reflection curves on common depth reflection point (CUP) gathers are hyperbolic patterns. So using SA, the parameters of each hyperbolic pattern can be detected. The parameters are used to calculate the root-mean-squared velocity V(rms). The V(rms) is used to the normal-moveout (NMO) correction and stacking to reconstruct the image of the subsurface. Using the result of SA hyperbolic parameter detection, it is a novel method in the seismic velocity analysis.
VERY FAST SIMULATED ANNEALING FOR PATTERN DETECTION AND SEISMIC APPLICATIONS
(2011)
Huang, Kou-Yuan
;
Hsieh, Yueh-Hsun
;
資訊工程學系
;
Department of Computer Science
We use three global optimization methods in the pattern parameter detection system, including simulated annealing (SA), fast simulated annealing (FSA) and very fast simulated annealing (VFSA). The sequential pattern parameter detection system can detect three types of patterns that include the lines, hyperbolas and ellipses in image. We use steps in the parameter detection for reducing the computation and getting fast convergence. This system has the capability of searching pattern parameter vectors with global minimal distance between the patterns and the image data. After the system is successful in image pattern detection, we apply it to detect the parameters of the hyperbolic patterns on real one-shot seismogram and seismic common depth point (CDP) gather data. This procedure provides an automatic velocity analysis method and improves the seismic interpretation and further seismic data processing.