• Title, Summary, Keyword: 탄성파 속성 분석

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Amplitude Variation Analysis for Deep Sea Seismic Data in the Ulleung Basin, East Sea (동해 울릉분지 심해 탄성파 탐사자료 진폭변화분석)

  • Cheong, Snons;Kim, Youngjun;Kim, Byungyup;Koo, NamHyung;Lee, Ho-Young
    • Geophysics and Geophysical Exploration
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    • v.16 no.3
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    • pp.163-170
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    • 2013
  • The amplitude variation with offset of seismic data can detect fluids in the sediment and resolve the petrophysical properties of hydrocarbons in the subsurface. We analyzed and described the amplitude variation in deep sea seismic data obtained from the Ulleung Basin, East Sea. By inspecting seismic CDP-offset and CDP-angle gathers which show a bright reflection event, we decided a target zone for amplitude variation analysis. From the seismic angle gather at the middle of Ulleung Basin, we recognized amplitude increase or decrease versus offset on the intercept-gradient curve. Using the product attribute and Poisson's ratio change attribute computed in terms of intercept with gradient, the top and the base of gas saturated sediments were described. The area of amplitude variation suggestive of the presence of gas saturated sediments is shown at the depth of 3 s traveltime. Anomalous features of seismic amplitude in the Ulleung Basin were classified by the crossplot of intercept and gradient. The background trend of crossplot between intercept and gradient shows an inverse proportional relation that is common for wet sediments. Anomalous amplitudes of Class III fall into the first and the third quadrants on crossplots. We inferred regional gas/water saturated area with the horizontal dimension of 150 m in the Ulleung Basin by cross-section with respect to cross-plot anomaly.

A 3 dimensional Visualization System for 3-D Seismic Data Analysis (3차원 탄성파 자료분석을 위한 3차원 시각화 시스템)

  • Lee, Doo-Sung;Kim, Hyoun-Gyu
    • Geophysics and Geophysical Exploration
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    • v.5 no.2
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    • pp.71-77
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    • 2002
  • We developed a modeling and visualization software that can analyze 3-dimensional seismic data. The software divides 3 dimensional space into a series of vertical and horizontal polygons, and allows the various seismic attributes and other spatial information to be stored on these polygons. The program can pick a particular pattern in semi-automatic mode, and store the pattern in the spatial DB. The pattern can be modeled and visualized in 3 dimensional space.

Fault Detection for Seismic Data Interpretation Based on Machine Learning: Research Trends and Technological Introduction (기계 학습 기반 탄성파 자료 단층 해석: 연구동향 및 기술소개)

  • Choi, Woochang;Lee, Ganghoon;Cho, Sangin;Choi, Byunghoon;Pyun, Sukjoon
    • Geophysics and Geophysical Exploration
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    • v.23 no.2
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    • pp.97-114
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    • 2020
  • Recently, many studies have been actively conducted on the application of machine learning in all branches of science and engineering. Studies applying machine learning are also rapidly increasing in all sectors of seismic exploration, including interpretation, processing, and acquisition. Among them, fault detection is a critical technology in seismic interpretation and also the most suitable area for applying machine learning. In this study, we introduced various machine learning techniques, described techniques suitable for fault detection, and discussed the reasons for their suitability. We collected papers published in renowned international journals and abstracts presented at international conferences, summarized the current status of the research by year and field, and intensively analyzed studies on fault detection using machine learning. Based on the type of input data and machine learning model, fault detection techniques were divided into seismic attribute-, image-, and raw data-based technologies; their pros and cons were also discussed.

Seismic Attribute Analysis of the Indicators for the Occurrence of Gas Hydrate in the Northwestern Area of the Ulleung Basin, East Sea (동해 울릉분지 북서지역 가스하이드레이트 부존 지시자의 탄성파 속성 분석)

  • Kim, Kyoung Jin;Yi, Bo Yeon;Kang, Nyeon Keon;Yoo, Dong Geun;Shin, Kook Sun;Cho, Young Ho
    • Geophysics and Geophysical Exploration
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    • v.17 no.4
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    • pp.216-230
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    • 2014
  • Based on the interpretation of 3D seismic profiles acquired in the northwestern area of the Ulleung Basin, East Sea, the shallow sediments consist of five seismic units separated by regional reflectors. An anticline is present in the study area that documents activity of many faults. Bottom simulating reflectors are characterized by high RMS amplitude. Acoustic blanking with low RMS amplitude is distinctively recognized in the gas hydrate stability zone. Seismic attribute analysis shows that if gas hydrates are underlain by free gas, the high reflection strength and the low instantaneous frequency are displayed below the boundary between them. Whereas, if not, the reflection strength is low and instantaneous frequency is high continuously below the gas hydrate zone. Based on the spectral decomposition of the bottom simulating reflector, the high envelope at the specific high frequency range indicates the generation of the tuning effect due to the lower free gas content. Four models for the occurrence of the gas hydrate are suggested considering the slope of sedimentary layers as well as the presence of gas hydrate or free gas.

Global Trends of Marine Petroleum Exploration Science Information (해저 석유탐사 학술정보 분석)

  • Kil, Sang Cheol;Park, Kwan Soon;Cho, Jin Dong
    • Economic and Environmental Geology
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    • v.47 no.6
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    • pp.673-681
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    • 2014
  • Recently, many countries in the world try to develop alternative energy sources, however, traditional hydrocarbon resources are still occupying most of the energy resources. Exploration demands for high technologies are increasing in the development of limited oil & gas resources field owing to the exhaustion of hydrocarbon resources for access area. Therefore, an effort for the development and the application of new technologies such as azimuth seismic survey, ocean-bottom seismic survey and marine controlled-source electromagnetic survey is necessary as well as an understanding of the existing technologies such as 2D/3D seismic survey. This dissertation is designed with the purpose of introducing marine hydrocarbon exploration technologies and analyzing their internalexternal researches, development and science information. In this study, we analised total 616 dissertations for the marine petroleum exploration released in the Sci-expanded DB of 'web of science' during the 2001~2014 periods.

Generation of Pseudo Porosity Logs from Seismic Data Using a Polynomial Neural Network Method (다항식 신경망 기법을 이용한 탄성파 탐사 자료로부터의 유사공극률 검층자료 생성)

  • Choi, Jae-Won;Byun, Joong-Moo;Seol, Soon-Jee
    • Journal of the Korean earth science society
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    • v.32 no.6
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    • pp.665-673
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    • 2011
  • In order to estimate the hydrocarbon reserves, the porosity of the reservoir must be determined. The porosity of the area without a well is generally calculated by extrapolating the porosity logs measured at wells. However, if not only well logs but also seismic data exist on the same site, the more accurate pseudo porosity log can be obtained through artificial neural network technique by extracting the relations between the seismic data and well logs at the site. In this study, we have developed a module which creates pseudo porosity logs by using the polynomial neural network method. In order to obtain more accurate pseudo porosity logs, we selected the seismic attributes which have high correlation values in the correlation analysis between the seismic attributes and the porosity logs. Through the training procedure between selected seismic attributes and well logs, our module produces the correlation weights which can be used to generate the pseudo porosity log in the well free area. To verify the reliability and the applicability of the developed module, we have applied the module to the field data acquired from F3 Block in the North Sea and compared the results to those from the probabilistic neural network method in a commercial program. We could confirm the reliability of our module because both results showed similar trend. Moreover, since the pseudo porosity logs from polynomial neural network method are closer to the true porosity logs at the wells than those from probabilistic method, we concluded that the polynomial neural network method is effective for the data sets with insufficient wells such as F3 Block in the North Sea.

3-D Visualization of Reservoir Characteristics through GOCAD (GOCAD를 이용한 저류층 속성정보의 3차원 시각화 연구)

  • Gwak Sang-Hwan;Lee Doo Sung
    • Geophysics and Geophysical Exploration
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    • v.4 no.3
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    • pp.80-83
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    • 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.

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Baseline Survey Seismic Attribute Analysis for CO2 Monitoring on the Aquistore CCS Project, Canada (캐나다 아퀴스토어 CCS 프로젝트의 이산화탄소 모니터링을 위한 Baseline 탄성파 속성분석)

  • Cheong, Snons;Kim, Byoung-Yeop;Bae, Jaeyu
    • Economic and Environmental Geology
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    • v.46 no.6
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    • pp.485-494
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    • 2013
  • $CO_2$ Monitoring, Mitigation and Verification (MMV) is the essential part in the Carbon Capture and Storage (CCS) project in order to assure the storage permanence economically and environmentally. In large-scale CCS projects in the world, the seismic time-lapse survey is a key technology for monitoring the behavior of injected $CO_2$. In this study, we developed a basic process procedure for 3-D seismic baseline data from the Aquistore project, Estevan, Canada. Major target formations of Aquistore CCS project are the Winnipeg and the Deadwood sandstone formations located between 1,800 and 1,900 ms in traveltime. The analysis of trace energy and similarity attributes of seismic data followed by spectral decomposition are carried out for the characterization of $CO_2$ injection zone. High trace energies are concentrated in the northern part of the survey area at 1,800 ms and in the southern part at 1,850 ms in traveltime. The sandstone dominant regions are well recognized with high reflectivity by the trace energy analysis. Similarity attributes show two structural discontinuities trending the NW-SE direction at the target depth. Spectral decomposition of 5, 20 and 40 Hz frequency contents discriminated the successive E-W depositional events at the center of the research area. Additional noise rejection and stratigraphic interpretation on the baseline data followed by applying appropriate imaging technique will be helpful to investigate the differences between baseline data and multi-vintage monitor data.

Aquifer Characterization Using Seismic Data on the Aquistore CCS Project, Canada (캐나다 아퀴스토어 탄성파자료를 통한 이산화탄소 지중저장 연구지역 대수층 특성화)

  • Cheong, Snons;Kim, Byoung-Yeop;Shinn, Young Jae;Lee, Ho-Yong;Park, Myung-Ho
    • Economic and Environmental Geology
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    • v.47 no.6
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    • pp.625-633
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    • 2014
  • The Aquistore project is the world's first commercial capture, transportation, utilization and storage project of post-combustion $CO_2$ from a coal-fired thermo electric power plant, and the proposed storage is a saline aquifer at a depth of about 3,500 m. Deep saline aquifer, compared to hydrocarbon reservoir, provides the great volumetric potential for storage of $CO_2$ anywhere in the world, therefore the research results from the project may be exported globally to other sites. Geological $CO_2$ storage characterization for saline aquifer instead of hydrocarbon reservoir needs to estimate the geophysical properties of subsurface geology. This study calculated the geophysical property of water-saturated formation by applying amplitude variation analysis developed from oil and gas exploration. We correlated horizon tops at the well logs to seismic traveltime of 1,815 and 1,857 ms as Winnipeg and Deadwood formations. Gradient analysis from seismic traces showed correlation coefficient of 45 - 81 % on amplitude variation with respect to incident angle. Crossplot of intercept and gradient shows the inverse proportional trend which represents typical water saturated sediments. Product attribute of intercept and gradient described the base of wet sediment. Poisson's ratio change attribute increased at the top of target area satisfying with wet sediment and decreased at the top of basement in a dry rock bed.

Q-factor Estimation of Seismic Trace Including Random Noise using Peak Frequency-Shift Method (무작위 잡음이 포함된 탄성파 트레이스로부터 Peak Frequency-Shift 방법을 이용한 Q-factor 추정)

  • Kwon, Junseok;Chung, Wookeen;Ha, Jiho;Shin, Sungryul
    • Geophysics and Geophysical Exploration
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    • v.21 no.1
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    • pp.54-60
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    • 2018
  • The data acquired from seismic exploration can be used to detect the existence of oil and gas resources through appropriate processing and interpretation. The seismic attributes indicating the existence of resources are extracted from amplitude information, where the Q-factor representing intrinsic attenuation plays an useful role of hydrocarbon indicator. So, the accuracy of Q-factor estimation is very important to investigate the existence of resources. In this study, we calculated the Q-factor and analyzed the error rate through a numerical example. To mimic real data, random noise was added to the synthetic data. With the noise-added data, the Q-factor was estimated and the error rate was analyzed by using the spectral ratio method (SRM) and peak frequency shift method (PFSM). Both methods provided a relatively accurate Q-factor when the signal-to-noise ratio was 90 dB. However, the peak frequency shift method (PFSM) produced better results than the spectral ratio method (SRM) as the level of random noise increased.