• Geophysics and Geophysical Exploration
• /
• v.5 no.3
• /
• pp.145-149
• /
• 2002

The static correction, which is classified into refraction based static correction and reflection based residual static correction, removes distortions caused by irregularities of thickness or velocity in near-surface. Generally, refraction statics is a time consuming process because of high dependence on the interpreter's analysis. Therefore, for huge 3D seismic data, automatic static correction which minimizes the interpreter's analysis is required. In this research, we introduce an efficient method of refraction static correction for land 3D seismic survey.

• 한국지구물리탐사학회:학술대회논문집
• /
• 2004.06a
• /
• pp.88-93
• /
• 2004

본 논문에서는 현장에서 획득한 2차원 탄성파 탐사 자료를 처리하는 시스템을 제안한다. 일반적으로 탐사 자료는 매우 방대하여 효율적인 자료 처리 및 관리 시스템은 필수적이라고 할 수 있다. 본 논문에서는 모듈의 처리 과정에서 QC(Quality of Control)를 쉽게 하기 위해 윈도우 기반 GUI 환경을 제공할 뿐만 아니라, 모듈의 처리 흐름과 파라미터를 저장할 수 있는 템플릿 개념을 소개한다. 또한 객체 지향 개념을 도입하여 모듈들의 삽입, 삭제가 용이한 장점을 가지고 있다. 개발 환경은 MFC를 바탕으로 Windows 운영체제에서 개발되었다. 본 논문에서 개발된 시스템은 탄성파를 이용한 지반 조사에 효율적으로 사용될 수 있다고 사료된다.

• 한국지구물리탐사학회:학술대회논문집
• /
• 1999.08a
• /
• pp.176-201
• /
• 1999

Principles, data acquisition, data processing of four frequently used borehole seismic methods, i.e., downhole seismic, vertical seismic profiling(VSP), crosshole seismic, and seismic tomography, are reviewed briefly. Field data examples are presented and their application to civil engineering area was also discussed.

• 한국신재생에너지학회:학술대회논문집
• /
• 2006.06a
• /
• pp.382-385
• /
• 2006

한국지질자원연구원은 1997년부터 새로운 에너지 자원으로 활용 가능성을 포함하고 있는 가스 하이드레이트를 조사하기 위해 동해 일원에서 탄성파탐사를 실시하고 있다. 탄성파 반사 자료로부터 가스 하이드레이트 부존여부를 확인하는 방법은 해저면과 평행하면서 위상이 반대로 나타나는 고진폭 반사파 BSR (Bottom Simulating Reflection)과 BSR상부에서의 진폭감소, 하부에서 진폭증가와 구간속도 감소 등을 들 수 있다. 여기에서는 가스 하이드레이트 탐사자료에 대한 일반자료처리와 함께 BSR을 포함하고 있는 탄성파 반사자료에 대해 코드 병렬화된 PSPI를 이용하여 깊이영역 구조보정을 실시하였다. 고용량 탐사자료로 구성된 탄성파 반사자료에 깊이영역 구조보정을 적용하기 위해서는 고성능 컴퓨터와 병렬처리 기술이 필요하다. PSPI(Phase Shift Plus Interpolation)법은 적은 컴퓨터 계산량과 효율성 그리고 주파수 영역에서 구조적으로 병렬화가 용이한 특성을 지니고 있어 구조보정에 많이 이용되고 있다. 여기에서는 MPI(Message Passing Interface)-LAM을 이용하여 병렬코드화된 PSPI를 개발하고 인공합성모델과 동해 가스 하이드레이트 깊이영역 구조보정에 적응하였다.

• The Journal of Engineering Geology
• /
• v.6 no.2
• /
• pp.95-102
• /
• 1996

A study on the attenuation of ground vibration was carried out on the soil layer using seismic exploration method. A 12-channel engineering seismograph was used to acquire real digital amplitude data in field work. Frequency analysis of seismic data shows maximum spectrum amplitude around 40Hz. Relative amplitude decreases exponentially as the distance increases and the attenuation factors are n = 0.25 and a = 0.13-0.20. Internal attenuation indexes(a) are 0.13 and 0.20 in the wet soil zone and the vegatated soil zone, respectively. It means that ground vibration attenuates faster in vegatated soil zone than in wet soil zone. Average internal attenuation coefficient(h) was determined to be 0.094 from seismic velocity and frequency analysis.

• Geophysics and Geophysical Exploration
• /
• v.6 no.1
• /
• pp.28-34
• /
• 2003

A problem of ground subsidence has been a focus of our research over the past 3 years. The purpose of this study is to investigate the disturbed stratigraphic structure by mining and to separate the possible ground subsidence area using shallow seismic reflection survey and processing. To overcome the problems such as the distortion and attenuation of seismic signal caused by ground disturbance and to acquire the high frequency data, an array with short spacing (0.3m) for both the shot and receivers, yielding near-offset (<30m) and CMP spacing of 0.15m was implemented. Data were acquired along the survey line with length of about 43m by fixed receiver array. By considering statics caused by the ground disturbance and offset distribution of data, careful processing steps such as muting and residual statics correction were applied for successful shallow reflection imaging. By correlating the ground subsidence data and stack section, possible subsidence zone could be interpreted quantitatively.

• Geophysics and Geophysical Exploration
• /
• v.4 no.3
• /
• pp.80-83
• /
• 2001

Four seismic reflection horizons in 3-D seismic data, coherence derived from the seismic data, and 38 well logs from the Boonsville Gas Filed in Texas were tried to be integrated and visualized in 3 dimensions. Time surface was constructed from pick times of the reflection horizons. Average velocities to each horizon at 38 well locations were calculated based on depth markers from the well logs and time picks from the 3-D seismic data. The time surface was transformed to depth surface through velocity interpolation. Coherence was calculated on the 3-D seismic data by semblance method. Spatial distribution of the coherence is captured easily in 3-D visualization. Comparing to a time-slice of seismic data, distinctive stratigraphic features could be correctly recognized on the 3-D visualization.

• Geophysics and Geophysical Exploration
• /
• v.21 no.3
• /
• pp.183-197
• /
• 2018

In the delineation of geological structures using seismic exploration, it is very important to improve resolution of seismic data as well as accurate velocity model building and subsurface imaging. The resolution of seismic data can be enhanced by employing high-frequency energy sources or by applying deconvolution techniques in data processing. In marine seismic exploration, however, the main reason for degradation of resolution is the loss of specific frequency components due to ghosts. If we remove the ghosts, we can obtain broadband seismic data by avoiding frequency loss, and thus providing high-resolution subsurface images. Although ghosts can be properly filtered out in the data processing step, more effective broadband seismic technologies have been developing through the evolution of seismic instruments and the innovation of survey design. Overseas exploration companies developed brand-new configurations of receivers such as over/under streamer and variable-depth streamer, or ghost removal techniques using dual-sensor streamer to serve high-resolution imaging technologies. Unfortunately, neither broadband seismic instrument nor processing technique has been studied in Korea. In this paper, we introduce fundamental theories and current status of broadband seismic technologies to assist domestic researchers to study those technologies.

• 한국신재생에너지학회:학술대회논문집
• /
• 2007.11a
• /
• pp.560-563
• /
• 2007

속도와 밀도의 함수로 이루어진 음향 임피던스는 탄성파자로부터 물성변화를 확인하는 방법 중의 하나로 이용된다. 본 연구에서는 한국지질자원연구원에서 개발된 탄성파 탐사자료처리 무른모 지오빗올 이용하여 기본 자료처리를 실시하고, 음향 임피던스 변환 모듈올 적용하여 동해 가스 하이드레이트 현장자료에 대한 광역 임피던스변화를 구하고 이로부터 음향 임피던스 단면도를 구하고자였다. 음향 임피던스 단면도는 중합단면도상에서 음향 임피던스 변화를 보여주고 있으며 특히 왕복주시 2.9초 전후에서 해저면 반사파와 위상이 반대이며 고진폭을 나타내는 해저면 기인 고진폭 반사층으로 여길만한 지점에서 그 변화가 크게 나타남을 알 수 있었다. 탄생파자료는 10 Hz 이하 저주파 정보가 들어있지 않아 완전한 음향 임피던스를 구할 수 없으므로 층서해석이 이루어진 중합 단면도부터 광역 임피던스를 구하였다. 향후 시추자료를 활용할 경우 좀더 정확한 음향 임피던스 단면도를 생산할 수 있을 것으로 여겨진다.

• Geophysics and Geophysical Exploration
• /
• v.25 no.3
• /
• pp.140-161
• /
• 2022

Seismic data with missing traces are often obtained regularly or irregularly due to environmental and economic constraints in their acquisition. Accordingly, seismic data interpolation is an essential step in seismic data processing. Recently, research activity on machine learning-based seismic data interpolation has been flourishing. In particular, convolutional neural network (CNN) and generative adversarial network (GAN), which are widely used algorithms for super-resolution problem solving in the image processing field, are also used for seismic data interpolation. In this study, CNN-based algorithm, U-Net and GAN-based algorithm, and conditional Wasserstein GAN (cWGAN) were used as seismic data interpolation methods. The results and performances of the methods were evaluated thoroughly to find an optimal interpolation method, which reconstructs with high accuracy missing seismic data. The work process for model training and performance evaluation was divided into two cases (i.e., Cases I and II). In Case I, we trained the model using only the regularly sampled data with 50% missing traces. We evaluated the model performance by applying the trained model to a total of six different test datasets, which consisted of a combination of regular, irregular, and sampling ratios. In Case II, six different models were generated using the training datasets sampled in the same way as the six test datasets. The models were applied to the same test datasets used in Case I to compare the results. We found that cWGAN showed better prediction performance than U-Net with higher PSNR and SSIM. However, cWGAN generated additional noise to the prediction results; thus, an ensemble technique was performed to remove the noise and improve the accuracy. The cWGAN ensemble model removed successfully the noise and showed improved PSNR and SSIM compared with existing individual models.