DOI: 10.1016/j.jag.2015.03.007
Scopus记录号: 2-s2.0-84943521516
论文题名: Chronology and backtracking of oil slick trajectory to source in offshore environments using ultraspectral to multispectral remotely sensed data
作者: Lammoglia T ; , de Souza Filho C ; R
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 39 起始页码: 113
结束页码: 119
语种: 英语
英文关键词: ASTER
; Infrared spectroscopy
; Offshore
; Petroleum
; Remote sensing
; Seepage
Scopus关键词: ASTER
; crude oil
; hydrocarbon exploration
; hydrocarbon migration
; hydrocarbon reservoir
; infrared spectroscopy
; offshore application
; petroleum hydrocarbon
; remote sensing
; seepage
; thermal maturity
; Brazil
英文摘要: Offshore natural seepage confirms the occurrence of an active petroleum system with thermal maturation and migration, regardless its economic viability for petroleum production. Ocean dynamics, however, impose a challenge for correlation between oil seeps detected on the water surface and its source at the ocean floor. This hinders the potential use of seeps in petroleum exploration. The present study aims to estimate oil exposure time on the water surface via remote sensing in order to help locating ocean floor seepage sources. Spectral reflectance properties of a variety of fresh crude oils, oil films on water and oil-water emulsions were determined. Their spectral identity was used to estimate the duration of exposure of oil-water emulsions based on their temporal spectral responses. Laboratory models efficiently predicted oil status using ultraspectral (>2000 bands), hyperspectral (>300 bands), and multispectral (<10 bands) sensors covering near infrared and shortwave infrared wavelengths. An oil seepage recorded by the ASTER sensor on the Brazilian coast was used to test the designed predictive model. Results indicate that the model can successfully forecast the timeframe of crude oil exposure in the ocean (i.e., the relative "age" of the seepage). The limited spectral resolution of the ASTER sensor, though, implies less accurate estimates compared to higher resolution sensors. The spectral libraries and the method proposed here can be reproduced for other oceanic areas in order to approximate the duration of exposure of noticeable natural oil seepages. This type of information is optimal for seepage tracing and, therefore, for oceanic petroleum exploration and environmental monitoring. © 2015 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79461
Appears in Collections: 气候变化事实与影响
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作者单位: Geosciences Institute, University of Campinas, P.O. Box 6152, Campinas, São Paulo, SP, Brazil
Recommended Citation:
Lammoglia T,, de Souza Filho C,R. Chronology and backtracking of oil slick trajectory to source in offshore environments using ultraspectral to multispectral remotely sensed data[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,39