RESEARCH ON LIVE-WIRE ALGORITHM IN REMOTE SENSING GEOLOGICAL INTERPRETATION USING FOR OIL AND GAS EXPLORATION

被引:0
|
作者
Yang, Yao [1 ]
机构
[1] Guizhou Power Grid Co Ltd, Informat Ctr, Guiyang 550003, Peoples R China
来源
FRESENIUS ENVIRONMENTAL BULLETIN | 2022年 / 31卷 / 12期
关键词
Environmental protection exploration; oil and gas resources; remote sensing geological interpretation; live-wire algorithm;
D O I
暂无
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The geological interpretation technology of remote sensing images can analyze the production characteristics and physical properties of rocks on the earth's surface through the known spectral and spatial information characteristics in relevant data. This technology is of great significance to the environmental protection and efficient exploration of oil and gas resources. The degree of automation of interpretation methods is not high, and a large number of manual post-processing checks are often required. However, the efficiency of purely manual information extraction is low, so semi-automatic extraction is an important direction of remote sensing geological interpretation. In particular, with the wide use of high-resolution remote sensing and UAV image technology in the geological field, it provides geologists with efficient and accurate semi-automatic auxiliary interpretation tools. This paper introduces the live-wire algorithm for semi-automatic auxiliary extraction of geological boundaries, and optimizes the algorithm from the aspects of image data volume, vector data generation, parameter setting, etc., and designs a software prototype to provide reference for related software design. Finally, the optimization research of this technology can effectively improve the efficiency of environmental protection exploration of oil and gas resources.
引用
收藏
页码:11606 / 11611
页数:6
相关论文
共 35 条
  • [1] Orbital remote sensing for geological mapping in southern Tunisia:: Implication for oil and gas exploration
    Peña, SA
    Abdelsalam, MG
    [J]. JOURNAL OF AFRICAN EARTH SCIENCES, 2006, 44 (02) : 203 - 219
  • [2] Research on oil-gas exploration using airborne hyerspectral remote sensing and its application effect
    Liu, Dechang
    Tong, Qinlong
    Li, Zhizhong
    Zhao, Yingjun
    Yang, Yanjie
    Wang, Maozhi
    Xie, Tao
    Ye, Fawang
    Qiu, Junting
    Wang, Zitao
    [J]. Dizhi Xuebao/Acta Geologica Sinica, 2019, 93 (01): : 272 - 284
  • [3] Exploration of offshore oil and gas resources using thermal infrared remote sensing
    Cai Yulin
    Song Zhaojun
    Shan Chunzhi
    [J]. PROGRESS IN CIVIL ENGINEERING, PTS 1-4, 2012, 170-173 : 1029 - +
  • [4] REMOTE-SENSING DATA IN OIL AND GAS EXPLORATION - METHODOLOGICAL ASPECTS
    KOSTRYUKOV, MI
    TSARENKO, PT
    [J]. SOVIET JOURNAL OF REMOTE SENSING, 1981, (02): : 179 - 184
  • [5] RESEARCH ON THE TECHNOLOGY OF HYPERSPECTRAL REMOTE SENSING OIL-GAS EXPLORATION BASED ON VEGETATION REFLECTION SPECTRUM ANOMALIES
    Li Qianqian
    Chen Xiaomei
    Liu Na
    Ni Guoqiang
    Lan Tian
    [J]. 2014 6TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS), 2014,
  • [6] Research on the Geological Features of Oil and Gas in Salt Related Basin and Its Exploration
    Zhu, Zhangxiong
    Lai, Fuqiang
    [J]. 3RD INTERNATIONAL CONFERENCE ON APPLIED ENGINEERING, 2016, 51 : 1129 - 1134
  • [7] Synergistic analysis and correlative study on remote sensing and chemical exploration data for oil-gas exploration
    Song, XN
    Yang, FJ
    Zhen, H
    Li, XT
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2004, 25 (21) : 4675 - 4684
  • [8] New method research on remote sensing interpretation for debris flow geological hazard at country level
    Lu Li-zhen
    Feng Hang-jian
    Tang Xiao-ming
    Ye Yan-mei
    [J]. 2008 INTERNATIONAL WORKSHOP ON EDUCATION TECHNOLOGY AND TRAINING AND 2008 INTERNATIONAL WORKSHOP ON GEOSCIENCE AND REMOTE SENSING, VOL 2, PROCEEDINGS,, 2009, : 244 - +
  • [9] RECENT ADVANCES IN MULTISPECTRAL REMOTE-SENSING - APPLICATIONS TO GEOLOGY AND OIL AND GAS EXPLORATION
    LANG, HR
    [J]. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1984, 187 (APR): : 41 - GEOC
  • [10] Using machine learning to reduce ensembles of geological models for oil and gas exploration
    Roubickova, Anna
    Brown, Nick
    Brown, Oliver Thomson
    MacGregor, Lucy
    Stewart, Mike
    [J]. PROCEEDINGS OF DRBSD-5 2019:: 2019 IEEE/ACM 5TH INTERNATIONAL WORKSHOP ON DATA ANALYSIS AND REDUCTION FOR BIG SCIENTIFIC DATA (DRBSD-5), 2019, : 42 - 49