• Journal of the Korean GEO-environmental Society
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• v.16 no.3
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• pp.15-21
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• 2015

Since the introduction of 'the rule for computerizing subsoil investigation results and its application' in 2007, the DB construction of the national geotechnical information by Ministry of Land, Transport and Maritime Affairs (MOLTMA) has been performed. According to the Integrated DB Center of National Geotechnical Information, there have been 180 thousands borehole information stored in the system. In this study, the time-series analyses of precision on the most used information, the depth of stratum and ground water level, were performed to evaluate the effect of the initiation of the rule established in 2007. The precisions were evaluated based on the statistical analyses using kurtosis and normal distribution. Based on the results, the increase of precision after 2007 and the affirmative effects of the rule established in 2007 are confirmed. Furthermore, the precision of the regional information can be achieved with the precision analyses on the information from various areas.

• Geotechnical Engineering
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• v.29 no.1
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• pp.8-10
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• 2013

• Proceedings of the KSEG Conference
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• 2004.03a
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• pp.14001-14039
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• 2004

시추조사는 지반상태를 파악하기 위한 조사중에서 가장 기본적이며 구체적인 조사방법이다. 원 하는 심도의 시료를 채취하여 지층을 직접 확인할 수 있고, 이 시료를 가지고 각 종 시험을 할 수 있기 때문이다. 더구나 시추공에서 시험할 수 있는 각종 정밀한 장비들이 개발되면서 시추공시험으로써 많은 지하정보를 얻을 수 있게 되었다. 이 정보들은 현장의 정보이기 때문에 실내시험에서 얻는 정보보다는 훨씬 가치가 있으므로 시추조사의 목적은 시료채취보다는 공내시험에 더 비중을 두게 되었다. 시추공 시험은 1.6에 편집되었지만 시추조사와 연계시켜 이용하는 것이 편리하다. (중략)

• Proceedings of the Korean Information Science Society Conference
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• 2000.04b
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• pp.93-95
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• 2000

본 논문은 지반조사 정보 시스템이 관리하고 있는 시추공의 지층 구성 정보를 바탕으로 시추공을 클러스터링하여 지반의 구성을 분석하는 시스템의 설계 및 구현을 소개한다. 지반조사 정보시스템은 지반 시추공의 현장조사 및 실내시험을 통해 얻는 시추공 정보를 체계적으로 관리하여 정보의 재활용을 돕기 위한 데이터베이스 시스템이다. 본 논문에서 제안된 지반 분석 시스템은 지반조사 데이터베이스의 시추공 정보를 이용하여 지반이 가지고 있는 특성 정보를 추출하여 유사한 특성을 갖는 시추공의 집합으로 클러스터링하여 사용자에게 지반 구성 정보를 제공하는 시스템이다. 본 시스템에서 사용된 클러스터링 기법은 지반조사 데이터가 갖는 지반의 구성 요소 및 각 지층의 구성비를 통해 유사한 특성을 지니는 지반들을 그룹화하고, 그룹된 지반들의 특성을 찾는다. 그룹된 지반들의 분석을 통해 찾아진 유사한 특성은 지도상에 가시화함으로서 사용자에게 해당 지형에 대한 지반 특성을 제공한다.

• Journal of the Korean GEO-environmental Society
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• v.15 no.4
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• pp.53-60
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• 2014

There have been vast amounts of the site investigation data from the domestic construction sites every year and various national research institutes are constructing the database for the site investigation data. According to the Ministry of Land, Transport and Maritime Affairs, the database for the site investigation has been constructed for covering 154,000 individual boreholes since the computerization project for the geotechnical information started at 2000. It is considered to be high time to evaluate the reliability of the stored DB so that the current DB should be utilized to the various fields related to the planning and site investigation of the construction activities. Therefore, the precision of the stored site investigation data was evaluated via normal distribution for more active sharing and utilization. As a preliminary evaluation of the precision, the locations of the encountered strata from two different sites were analyzed. After the precision of the stored data is determined, the level of reliability of the each category of the stored geotechnical information would be determined and the users would be able to decide which information could be utilized.

• Journal of the Korean GEO-environmental Society
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• v.23 no.10
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• pp.21-31
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• 2022

Prospecting ice on Moon requires drilling systems to obtain subsurface samples and measure composition of ice deposits. Landers and rovers need to be equipped with drilling equipment in order to analyze the ice and subsurface resources located at the poles of Moon. These devices must be small, lightweight, low-power, highly efficient and high-performance units in order to function properly under the extreme conditions of the lunar environment. Researchers have developed a prototype drilling apparatus that is able to operate in atmospheric and cold environments. Newly developed drilling system in Korea, which is capable of performing not only sampling but also subsurface investigation, is introduced.

• Proceedings of the Korean Geotechical Society Conference
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• 1998.06a
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• pp.51-62
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• 1998

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.8
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• pp.1032-1038
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• 2021

Rate of penetration(ROP) is one of the important variables for maximizing the drilling performance. In order to maximize drilling efficiency, it is necessary to increase the drilling speed, and real-time ROP prediction is important so that the driller can identify problems during drilling. The ROP has a high correlation with the drillstring rotational speed, weight on bit, and flow rate. In this paper, the ROP was predicted using a data-driven supervised learning model trained from the drilling efficiency parameters. As a result of comparison through the performance evaluation metrics of the regression model, the root mean square error(RMSE) of the RF model was 4.20 and the mean absolute percentage error(MAPE) was 9.08%, confirming the best predictive performance. The proposed method can be used as a base model for ROP prediction when constructing a real-time drilling operation guide system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.204-206
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• 2021

Real-time drilling parameters prediction is a considerably important study from the viewpoint of maximizing drilling efficiency. Among the methods of maximizing drilling, the method of improving the drilling speed is common, which is related to the rate of penetration, drillstring rotational speed, weight on bit, and drilling mud flow rate. This study proposes a method of predicting the drilling rate, one of the real-time drilling parameters, using a recurrent neural network-based deep learning model, and compares the existing physical-based drilling rate prediction model with a prediction model using deep learning.

• Journal of the Korean GEO-environmental Society
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• v.18 no.4
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• pp.5-12
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• 2017

Since 2000, the national geotechnical information DB has been constructed by Transport and Maritime Affairs (present Ministry of Land) and recently, it provides more than 210 thousands borehole informations through the geotechnical information DB portal systems. The initial project of underground space information computerization was begun in 2007, focusing on collecting the informations after then additional studies had been conducted to verify the precision and accuracy of collected informations in 2013~2014. In accordance with the recent initiation of the 3D integrated underground space mapping project, it is necessary to construct 3D image of the geotechnical information and evaluate the accuracy and precision of the information. Therefore, in this research, the basic information regarding the precision of the geotechnical DB is provided by kriging method and analysis of RMSE for the systematic 3D construction of geotechnical information. In addition, the elevation data errors of boring information are verified by analysis of elevation data such as boring information data and DEM data.