• Title/Summary/Keyword: 셈블런스

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An Analysis of Geomagnetic Variations Related to Earthquakes Location which Occurred in and around the Korean Peninsula from 2012 to 2014 (지진 위치와 관련된 지자기장 변동성 분석: 2012년부터 2014년까지 한반도 지역 발생 지진을 중심으로)

  • Min, Dongmin;Oh, Seokhoon;Ji, Yoonsoo
    • Journal of the Korean earth science society
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    • v.36 no.7
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    • pp.649-660
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    • 2015
  • This study aimed at the correlation analysis of geomagnetic variations related to earthquakes which occurred in and around the Korean Peninsula from 2012 to 2014. The wavelet-based semblance technique was used to confirm the geomagnetic variations related to earthquakes. As a result, a pattern of consistent geomagnetic variations in total magnetic has been found from the earthquakes occurred within 100 km radius around the observation site. A similar correlation between earthquake location and Z-field geomagnetic data was also confirmed by the wavelet-based semblance analysis. We mainly used the high quality geomagnetic measurements from the Cheongyang Observatory and additionally used the data from the Bohyunsan Observatory in order to validate the correlation between earthquake and Z-field geomagnetic data.

Wavelet-based Semblance Filtering of Geophysical Data and Its Application (웨이블릿 기반 셈블런스를 이용한 지구물리 자료의 필터링과 응용)

  • Oh, Seok-Hoon;Suh, Baek-Soo;Im, Eun-Sang
    • Journal of the Korean earth science society
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    • v.30 no.6
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    • pp.692-698
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    • 2009
  • Wavelet transform has been widely used in terms that it may overcome the shortcoming of conventional Fourier transform. Fourier transform has its difficulty to explain how the transformed domain, frequency, is related with time. Traditional semblance technique in Fourier transform was devised to compare two time series on the basis of their phase as a function of frequency. But this method is known not to work well for the non-stationary signal. In this study, we present two applications of the wavelet-based semblance method to geophysical data. Firstly, we show filtered geomagnetic signal remained with components of high correlation to each observatory. Secondly, highly correlated residual signal of gravity and magnetic survey data, which are also filtered by this semblance method, is present.

Variation Analysis of Geomagnetic Data Observed Around the Event of Andong Earthquake (May 2, 2009) (안동지진(2009년 5월 2일) 발생 기간 지자기장 자료의 변동성 분석)

  • Oh, Seok-Hoon
    • Journal of the Korean earth science society
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    • v.30 no.6
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    • pp.683-691
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    • 2009
  • Geomagnetic variation around May 2, 2009 when Angdong earthquake broke out was analyzed using the data recorded at the Cheong-yang geomagnetic observatory, KMA. Firstly, we predict the geomagnetic variation by PCA analysis of geomagnetic data, and then compare the predicted value with the observed data to find any significant differences in residuals. Secondly, wavelet semblance technique is applied to compare the time series before and after the earthquake. Some meaningful change is detected in the Z-field. Thirdly, eigen value analysis for the 3 component geomagnetic data is performed. The location of the observatory was too far from the epicenter and the magnitude was too small to find decisive precursory phenomenon. Nevertheless we can detect some significant correlation between the earthquake and the variation of the geomagnetic field. Various signal processing methods applied in this study will give some opportunity to find precursory effects in the future.

An Iterative, Interactive and Unified Seismic Velocity Analysis (반복적 대화식 통합 탄성파 속도분석)

  • Suh Sayng-Yong;Chung Bu-Heung;Jang Seong-Hyung
    • Geophysics and Geophysical Exploration
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    • v.2 no.1
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    • pp.26-32
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    • 1999
  • Among the various seismic data processing sequences, the velocity analysis is the most time consuming and man-hour intensive processing steps. For the production seismic data processing, a good velocity analysis tool as well as the high performance computer is required. The tool must give fast and accurate velocity analysis. There are two different approches in the velocity analysis, batch and interactive. In the batch processing, a velocity plot is made at every analysis point. Generally, the plot consisted of a semblance contour, super gather, and a stack pannel. The interpreter chooses the velocity function by analyzing the velocity plot. The technique is highly dependent on the interpreters skill and requires human efforts. As the high speed graphic workstations are becoming more popular, various interactive velocity analysis programs are developed. Although, the programs enabled faster picking of the velocity nodes using mouse, the main improvement of these programs is simply the replacement of the paper plot by the graphic screen. The velocity spectrum is highly sensitive to the presence of the noise, especially the coherent noise often found in the shallow region of the marine seismic data. For the accurate velocity analysis, these noise must be removed before the spectrum is computed. Also, the velocity analysis must be carried out by carefully choosing the location of the analysis point and accuarate computation of the spectrum. The analyzed velocity function must be verified by the mute and stack, and the sequence must be repeated most time. Therefore an iterative, interactive, and unified velocity analysis tool is highly required. An interactive velocity analysis program, xva(X-Window based Velocity Analysis) was invented. The program handles all processes required in the velocity analysis such as composing the super gather, computing the velocity spectrum, NMO correction, mute, and stack. Most of the parameter changes give the final stack via a few mouse clicks thereby enabling the iterative and interactive processing. A simple trace indexing scheme is introduced and a program to nike the index of the Geobit seismic disk file was invented. The index is used to reference the original input, i.e., CDP sort, directly A transformation techinique of the mute function between the T-X domain and NMOC domain is introduced and adopted to the program. The result of the transform is simliar to the remove-NMO technique in suppressing the shallow noise such as direct wave and refracted wave. However, it has two improvements, i.e., no interpolation error and very high speed computing time. By the introduction of the technique, the mute times can be easily designed from the NMOC domain and applied to the super gather in the T-X domain, thereby producing more accurate velocity spectrum interactively. The xva program consists of 28 files, 12,029 lines, 34,990 words and 304,073 characters. The program references Geobit utility libraries and can be installed under Geobit preinstalled environment. The program runs on X-Window/Motif environment. The program menu is designed according to the Motif style guide. A brief usage of the program has been discussed. The program allows fast and accurate seismic velocity analysis, which is necessary computing the AVO (Amplitude Versus Offset) based DHI (Direct Hydrocarn Indicator), and making the high quality seismic sections.

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Sakurajima volcano eruption detected by GOCI and geomagnetic variation analysis - A case study of the 18 Aug, 2013 eruption - (천리안 위성영상에 감지된 사쿠라지마 화산분화와 지자기 변동 분석 연구 - 2013년 8월 18일 분화를 중심으로 -)

  • Kim, Kiyeon;Hwang, Eui-Hong;Lee, Yoon-Kyung;Lee, Chang-Wook
    • Korean Journal of Remote Sensing
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    • v.30 no.2
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    • pp.259-274
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    • 2014
  • On Aug 18, 2013, Sakurajima volcano in Japan erupted on a relatively large-scale. Geostationary Ocean Color Imager (GOCI) had used to detect volcanic ash in the surrounding area on the next day of this eruption. The geomagnetic variation has been analyzed using geomagnetic data from Cheongyang observatory in Korea and several geomagnetic observatories in Japan. First, we reconstruct geomagnetic data by principal component analysis and conduct semblance analysis by wavelet transform. Secondly, we minimize the error of solar effect by using wavelet based semblance filtering with Kp index. As a result of this study, we could confirm that the geomagnetic variation usually occur at the moment of Sakurajima volcano eruption. However, we cannot rule out the possibilities that it could have been impacted by other factors besides volcanic eruption in other variation's cases. This research is an exceptional study to analyze geomagnetic variation related with abroad volcanic eruption uncommonly in Korea. Moreover, we expect that it can help to develop further study of geomagnetic variation involved in earthquake and volcanic eruption.

A proposal of seismic reference velocity ratio for the rock mass classification in tunnel area (터널구간 암반분류를 위한 탄성파 기준속도비의 제안)

  • Ko, Kwang-Beom;Ha, Hee-Sang;Lim, Hae-Ryong
    • 한국지구물리탐사학회:학술대회논문집
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    • 2005.09a
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    • pp.37-42
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    • 2005
  • Remote seismic tomography is regarded as one of the most valuable geophysical technique for the estimation of the rock mass classification in the tunnel area where hard data information such as drill logs are absent. But the results of rock mass classification based on the remote seismic tomography tend to be overestimated in practice. In this study, we propose the effective method to implement the seismic reference velocity ratio based on semblance for the improvement of rock mass classification. Also, to verify its feasibility, proposed technique was tested by using the real field data.

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Analysis of Geomagnetic Variations Related to Earthquakes Occurred in and Around the Korean Peninsula from 2009 until 2011 (지난 3년 동안(2009-2011) 한반도 지역에서 발생한 지진의 지자기 변동성 분석)

  • Oh, Seokhoon;Ji, Yoonsoo
    • Journal of the Korean earth science society
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    • v.35 no.6
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    • pp.429-438
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    • 2014
  • Recent three years of geomagnetic data were analyzed using a method of Principal Component Analysis (PCA) and Wavelet Based Semblance Analysis to investigate any geomagnetic variation caused by earthquakes. This method predicts the geomagnetic variation using the PCA analysis of geomagnetic data, then compares the predicted geomagnetic field with the observation of finding any significant residual. Although it is well known that geomagnetic variation is related with earthquake, most analyses have been limited to some specific cases reflecting the correlation. In this study, we analyze seventeen cases of earthquakes that occurred in and around the Korean peninsula from 2009 to 2011 and that show the precursory and co-seismic relation between the earthquakes and geomagnetic variations.

A Study on Slowness Time Coherence Application and its Characteristics from Sonic Log Experiment in Model Holes (모형공에서의 음파실험을 통한 STC 기법의 적용과 특성 비교)

  • Kim, Yeong-Hwa;Zhao, Weijun
    • Geophysics and Geophysical Exploration
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    • v.10 no.4
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    • pp.299-307
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    • 2007
  • Slowness time coherence (STC) technique has been applied to 3-receiver slim hole sonic log using 3 NX sized concrete model holes of different physical properties. We analyzed the effects of different source center frequencies on the wave forms, their amplitude spectra, and their STC results. We could determine the sonic velocity of each mode accurately by the application of STC method with the semblance projection and efficient selection of center frequency. Theoretical model and experimental model hole studies indicate that 4-receiver condition is the most ideal for STC in near surface slim hole sonic log. The result also indicates that favorable STC result can be obtained from three-receiver sonic log provided with the help of the first arrival picking method.

Automatic velocity analysis using bootstrapped differential semblance and global search methods (고해상도 속도스펙트럼과 전역탐색법을 이용한 자동속도분석)

  • Choi, Hyung-Wook;Byun, Joong-Moo;Seol, Soon-Jee
    • Geophysics and Geophysical Exploration
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    • v.13 no.1
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    • pp.31-39
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    • 2010
  • The goal of automatic velocity analysis is to extract accurate velocity from voluminous seismic data with efficiency. In this study, we developed an efficient automatic velocity analysis algorithm by using bootstrapped differential semblance (BDS) and Monte Carlo inversion. To estimate more accurate results from automatic velocity analysis, the algorithm we have developed uses BDS, which provides a higher velocity resolution than conventional semblance, as a coherency estimator. In addition, our proposed automatic velocity analysis module is performed with a conditional initial velocity determination step that leads to enhanced efficiency in running time of the module. A new optional root mean square (RMS) velocity constraint, which prevents picking false peaks, is used. The developed automatic velocity analysis module was tested on a synthetic dataset and a marine field dataset from the East Sea, Korea. The stacked sections made using velocity results from our algorithm showed coherent events and improved the quality of the normal moveout-correction result. Moreover, since our algorithm finds interval velocity ($\nu_{int}$) first with interval velocity constraints and then calculates a RMS velocity function from the interval velocity, we can estimate geologically reasonable interval velocities. Boundaries of interval velocities also match well with reflection events in the common midpoint stacked sections.