Remote sensing and geochemistry for detecting hydrocarbon microseepages

Khan, Shuhab D.; Jacobson, Sarah

doi:10.1130/b26182.1

Cited by 9 publications

(15 citation statements)

References 3 publications

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“…Data downloaded from http://geology.utah.gov/ and then adjusted using ArcGIS. Index map shows location of surficial rock and soil alterations above petroleum reservoirs in the USA (sources: Love, 1957;Eargle and Weeks, 1973;Donovan, 1974;Olmstead, 1975;Goldhaber et al, 1978;Donovan et al, 1979Donovan et al, , 1981Ferguson, 1979aFerguson, , 1979bDalziel and Donovan, 1980;Abrams et al, 1983;Allen and Thomas, 1984;Duchscherer, 1984;Lilburn and Al-Shaieb, 1984;Oehler and Sternberg, 1984;Segal et al, 1984Segal et al, , 1986Reynolds et al, 1984Reynolds et al, , 1988Reynolds et al, , 1990Conel and Alley, 1985;Lang and Nadeau, 1985;Roeming and Donovan, 1985;Richers et al, 1986;McCoy and Wullstein, 1988;McCoy et al, 1989;Klusman et al, 1992;Reid et al, 1992;Al-Shaieb et al, 1994;Bammel et al, 1994;Campbell, 1994;Schumacher, 1996; Van der Meer et al, 2002;Petrovic, 2006;Petrovic et al, 2008;Khan and Jacobson, 2008). (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)…”

Section: Geological Backgroundmentioning

confidence: 95%

Integrated hyperspectral remote sensing, geochemical and isotopic studies for understanding hydrocarbon-induced rock alterations

Petrović

Khan

Thurmond

2012

Marine and Petroleum Geology

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Section: Geological Backgroundmentioning

confidence: 95%

Integrated hyperspectral remote sensing, geochemical and isotopic studies for understanding hydrocarbon-induced rock alterations

Petrović

Khan

Thurmond

2012

Marine and Petroleum Geology

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“…Though Hyperion images are characterized by relatively high levels of noise [59,[62][63][64][65][66][67][68], they represent important alternatives to datasets generated by orbiting multispectral systems. In numerous case studies, Hyperion images have proven useful in the mapping of lithological and mineralogical classes [63,64,67,[69][70][71][72][73][74][75][76]. In the Sudbury region, Hyperion images have previously been used in the study of vegetation growth related to land reclamation near smelters [20,77].…”

Section: Hyperion Imagesmentioning

confidence: 99%

Detection and Mapping of Black Rock Coatings Using Hyperion Images: Sudbury, Ontario, Canada

Leverington

Schindler

2016

Remote Sensing

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Base metal smelting activities can produce acidic rain that promotes vegetation loss and the development of black coatings on bedrock. Such coatings can form over large areas and are among the most prominent long-term vestiges of past smelting activities. In this study, multispectral images derived from Hyperion reflectance data were evaluated with regard to their utility in the discrimination and mapping of black rock coatings near Sudbury. Spectral angle mapper (SAM) classifications generated on the basis of image-derived endmember spectra could not be used to properly identify major exposures of coated bedrock without also producing substantial confusion with uncoated classes. Neural network and maximum likelihood classifications produced improved representations of the spatial distribution of coated bedrock, though confusion between coated and uncoated classes is problematic in most outputs. Maximum likelihood results generated using a null class are noteworthy for their effectiveness in highlighting exposures of coated bedrock without substantial confusion with uncoated classes. Although challenges remain, classification results confirm the potential of remote sensing techniques for use in the worldwide detection, mapping, and monitoring of coating-related environmental degradation in the vicinities of base metal smelters.

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“…Leakage may also occur along regional zones of tectonic weakness or lineaments (see Section 3.3.5). Surface geochemical studies may help in identifying major fault features where leakage is occurring (Mahajan et al, 2010;Khan and Jacobson, 2008). …”

Section: Storage Regionmentioning

confidence: 99%

Leakage Risk Assessment for a Potential CO2 Storage Project in Saskatchewan, Canada

Houseworth¹,

Oldenburg²,

Mazzoldi³

et al. 2011

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Remote sensing and geochemistry for detecting hydrocarbon microseepages

Cited by 9 publications

References 3 publications

Integrated hyperspectral remote sensing, geochemical and isotopic studies for understanding hydrocarbon-induced rock alterations

Integrated hyperspectral remote sensing, geochemical and isotopic studies for understanding hydrocarbon-induced rock alterations

Detection and Mapping of Black Rock Coatings Using Hyperion Images: Sudbury, Ontario, Canada

Leakage Risk Assessment for a Potential CO2 Storage Project in Saskatchewan, Canada

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