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Study of old ecological hazards, oil seeps and contaminations using earth observation methods : spectral library for oil seep

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The possibilities of remote sensing techniques in the field of the Earth surface monitoring and protection specifically for the problems caused by petroleum contaminations, for the mapping of insufficiently plugged and abandoned old oil wells and for the analysis of onshore oil seeps are described. Explained is the methodology for analyzing and detection of potential hydrocarbon contaminations using the Earth observation in the area of interest in Slovakia (Korňa) and in Czech Republic (Nesyt), mainly building and calibrating the spectral library for oil seeps. The acquisition of the in-situ field data (ASD, Cropscan spectroradiometers) for this purpose, the successful building and verification of hydrocarbon spectral library, the application of hydrocarbon indexes and use of shift in red-edge part of electromagnetic spectra, the spectral analysis of input data are clarified in the paper. Described is approach which could innovate the routine methods for investigating the occurrence of hydrocarbons and can assist during the mapping and locating the potential oil seep sites. Important outcome is the successful establishment of a spectral library (database with calibration data) suitable for further application in data classification for identifying the occurrence of hydrocarbons.
Rocznik
Strony
3--10
Opis fizyczny
Bibliogr. 20 poz., rys., tab., wykr.
Twórcy
  • VŠB - Technical University of Ostrava, Czech Republic Institute of Geological Engineering, Faculty of Mining and Geology
autor
  • VŠB - Technical University of Ostrava, Czech Republic Institute of Geological Engineering, Faculty of Mining and Geology
autor
  • Academy of Sciences of the Czech Republic, Czech Republic Global Change Research Centre, Department of Remote Sensing and Earth Observation
Bibliografia
  • [1]. Abrams, M.A., Segall, M.P. & Burtell, S.G. (2001). Best practices for detecting, identifying and characterizing near-surface migration of hydrocarbons within marine sediments, Offshore Technology Conference, 2001.
  • [2]. Beal, D. & Eamon, M. (2009). Preliminary results of testing and a proposal for radiometric error correction using dynamic, parabolic linear transformations of “Stepped” Data (PCORRECT. EXE), Analytical Spectral Devices, Inc.
  • [3]. Bednaříková, J. & Thon, A. (1984). Oil industry in the Czechoslovakia, MND, Nafta Gbely. Hodonín Czechoslovakia, 1984. (in Czech)
  • [4]. Bentz, F.P. (1975). Landsat Data Contribution to Hydrocarbon Exploration in Foreign Regions, Proceedings of the First Annual William T. Pecora Memorial Symposium, Sioux Falls, South Dakota.
  • [5]. Carpathian Resource Limited ABN 30 080 279 703, Annual Report, (http://www.carpathian.com.au (30.06.2014)).
  • [6]. Dawson, T.P. & Curran, P.J. (1998). A new technique for interpolating the reflectance red edge position, International Journal of Remote Sensing, 19, pp. 2113–2139.
  • [7]. Ellis, J.M., Davis, H.H. & Zamudio, J.A. (2001). Exploring for onshore oil seeps with hyperspectral imaging, Oil&Gas Journal, (http://www.ogj.com/articles/print/volume-99/issue-37/special-report/exploring-for-onshore-oil-seeps-with-hyperspectral-imaging.html (09.01.2017)).
  • [8]. Exelis Visual Information Solutions. 2010. Using ENVI. Boulder, Colorado, (https://www.exelisvis.com/docs/routines-136.html (30.06.2014)).
  • [9]. Horing, B. & Kühn, F. (2001). HyMap hyperspectral remote sensing to detect hydrocarbons, International Journal of Remote Sensing, 22, pp. 1413–1422.
  • [10]. Khan, S.D. & Jacobson, S. (2008). Remote sensing and geochemistry for detecting hydrocarbon microseepages, Geological Society of America Bulletin, 120 (1–2), pp. 96–105.
  • [11]. Kühn, F., Oppermann, K. & Horig, B. (2004). Hydrocarbon Index – an algorithm for hyperspectral detection of hydrocarbons, International Journal of Remote Sensing, 25, pp. 2467–2473.
  • [12]. Milička, J. & Macek, J. (2012). Historical and geochemical outlines of the oil-gas seepage near Turzovka town; Flysch belt, NW Slovakia, Acta Geologica Slovaca, 4 (1), pp. 7–13. (in Slovak)
  • [13]. Noomen, M.F. (2007). Hyperspectral reflectance of vegetation affected by underground hydrocarbon gas seepage, PhD. Thesis – ITC, University Twente, Enschede.
  • [14]. Noomen, M.F., Skidmore, A.K., van der Meer, F.D., Smith, K.L., Steven, M.D. & Colls, J.J. (2004). The influence of gas pipeline leakage on plant development and reflectance, Asian Conference of Remote Sensing, Chiang Mai, Thailand, 2004.
  • [15]. Qingjiu, T., Yi, L. & Lei, Z. (1992). A remote sensing basic study on the relation between spectral properties (0.40–1.10 um) of the oil and gas microseepage in East Hebei Province, Proceedings of the Asian Conference on Remote Sensing, 13th Asian conference, Remote Sensing, 1992.
  • [16]. Gluyas, J., Selley, R.C., Cocks, R.M. & Plimer, M. (2005). Encyclopedia of Geology (Petroleum Geology), Elsevier, Oxford UK 2005.
  • [17]. Rubio, V. (2002). Correlation of the onshore hydrocarbon seepages with the geo-structural characterization in the Venura Basin, Santa Barbara area, California, PhD. thesis – ITC, University Twente, Enschede.
  • [18]. Short, N. (1998). Finding Oil and Gas in Oklahoma, The Remote Sensing Tutorial (An Online Handbook). Code 935, Goddard Space Flight Center, NASA (http://fas.org/irp/imint/docs/rst/Sect5/Sect5_5.html (1.08.2014)).
  • [19]. Smejkalová, E. & Bujok, P. (2012). Remote sensing methods in the identification of oil contaminations, GeoScience Engineering, 58, pp. 24–33 ISSN, DOI: 10.2478/v10205-011-0010-6.
  • [20]. Van der Werff, H.M.A., Noomen, M.F., Van der Meijde, M. & Van der Meer, F.D. (2007). Remote sensing of omshore hydrocarbon seepage: problems and solutions, Geological Society, London, Special Publications, 283, pp. 125–133.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-cb58c37d-7677-4a53-9d12-1c6a9b5fbadb
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