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2021 Vol.58, Issue 5S Preview Page

General Remarks (Special Issue)

Recent Research Trend Analysis in Geophysical Exploration Focused on Seismic Exploration

최신 물리탐사 연구동향 분석: 탄성파탐사 중심으로

Sungryul Shin1*
,
Daechul Kim2
,
Seoje Jeong3
,
Dawoon Lee2
,
Wookeen Chung1
신 성렬1*
,
김 대철2
,
정 서제3
,
이 다운2
,
정 우근1
1Professor, Department of Ocean Energy and Resources Engineering, Korea Maritime and Ocean University, Busan, Korea
2Ph.D. Candidate, Department of Ocean Energy and Resources Engineering, Korea Maritime and Ocean University, Busan, Korea
3Master's Degree, Department of Ocean Energy and Resources Engineering, Korea Maritime and Ocean University, Busan, Korea
1한국해양대학교 해양에너지자원공학과 교수
2한국해양대학교 해양에너지자원공학과 박사과정
3한국해양대학교 해양에너지자원공학과 석사과정
*Corresponding Author
31 October 2021. pp. 443-463
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Abstract

Geophysical exploration, which is used in energy resource exploration, has evolved into a radically developed technology, and is rapidly changing the 4th industry landscape. Recently, extensive research using artificial intelligence (AI) has been conducted, and digital transformation is underway in the energy resource industry. In this study, the overall research trends of the latest geophysical explorations were analyzed with a focus on seismic exploration. A few examples of AI technologies used in seismic exploration have been introduced. For the analysis of the research trends, the papers published in domestic and international journals related to geophysical exploration were analyzed according to the exploration method, year, and keyword. The R programming language was used for the analysis. The results showed that the most actively performed studies on seismic exploration utilized geophysical exploration methods and within each method a study on inversion was included. Amongst the studies related to seismic exploration, the usage of AI technology has been prevalent within the various subject matters, such as inversion, signal processing, interpolation, and interpretation.

Keywords
Geophysical exploration
Seismic exploration
R program
Artificial intelligence

에너지자원 탐사에서 활발하게 활용되고 있는 물리탐사는 기술이 급진적으로 발전하였으며, 4차 산업 속에서 급변하고 있다. 최근에 각광 받고 있는 인공지능 기술을 활용한 연구가 활발하게 수행되고 있으며, 에너지자원 산업에서 디지털 전환이 진행되고 있다. 본 총설에서는 탄성파탐사를 중심으로 최신 물리탐사에 대한 전반적인 연구동향을 분석하였으며, 탄성파탐사에 활용되고 있는 인공지능 기술의 사례를 소개하였다. 연구동향 분석을 위하여 물리탐사 관련 국내 및 국외 학술지에 게재된 논문을 탐사방법, 연도, 키워드에 따라 분석하였고 분석방법으로 R 프로그램을 활용하였다. 분석결과, 물리탐사 방법 중에 탄성파탐사에 관한 연구가 가장 활발하게 수행되었으며, 각 탐사에서 공통적으로 역산에 관한 연구가 활발하게 수행되었다. 탄성파탐사 관련 연구에서 인공지능 기술을 활용한 연구에 대해서 분석한 결과, 역산, 신호처리, 보간법, 해석 등 다양한 분야에서 인공지능 기술이 활용되었다.

키워드
물리탐사
탄성파탐사
R 프로그램
인공지능
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Information
  • Publisher :The Korean Society of Mineral and Energy Resources Engineers
  • Publisher(Ko) :한국자원공학회
  • Journal Title :Journal of the Korean Society of Mineral and Energy Resources Engineers
  • Journal Title(Ko) :한국자원공학회지
  • Volume : 58
  • No :5
  • Pages :443-463
  • Received Date : 2021-10-14
  • Revised Date : 2021-10-25
  • Accepted Date : 2021-10-26
  • DOI :https://doi.org/10.32390/ksmer.2021.58.5.444
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