Hyperspectral Remote Sensing for Oil and GasThere’s no end to what it can (not) do.
Harald van der Werff Freek van der Meer
Twente University, Netherlands
September 15, 2010
Acknowledgements
Marleen Noomen, Mark van der Meijde (ITC)
Klaas Scholte (TU Delft, now AGIP)
Yang Hong (ITC, now Shell)
Karen Smith (Uni Nottingham)
Tibor Zelenka, Kati Berenyi Uveges & Orsi Papp (MAFI)
Fokke Jansma (DHV)
Gertjan Groothuis (NAM)
Harald van der Werff (UTwente) Hyperspectral remote sensing September 15, 2010 2 / 23
Outline
1 Hyperspectral remote sensingphysical measurementsimaging spectrometers
2 Research for Oil and Gasdirect detection of hydrocarbon seepagesindirect detection of hydrocarbon seepagesmonitoring of vegetation stressusing the spatial domainmonitoring of pipeline leakage
3 Discussion and Conclusionsscientific resultscommercial resultswhere are the problems?what could be solutions?
Harald van der Werff (UTwente) Hyperspectral remote sensing September 15, 2010 3 / 23
Physical measurements of the Earth surface
EM absorption due to electronic and vibrational processes
Chemical & physical explanation of spectral behaviour
Quantification and spectral mixture analysis
Harald van der Werff (UTwente) Hyperspectral remote sensing September 15, 2010 4 / 23
Imaging spectrometers
Airborne
AVIRIS JPL, 1992+, 224 bands, 0.4 – 2.5 micron, 8–20 m pixel
HyMap IntSpec, 1998, 128 bands, 0.4 – 2.5 micron, 3–6 m pixel
Eagle Hawk AISA, 2006, too many bands, 0.4 – 2.5 micron, 1–2 m pixel
Spaceborn
EnMap “Germany”, 2012, 251 bands, 0.4 – 2.5 micron, 30 m pixel
Harald van der Werff (UTwente) Hyperspectral remote sensing September 15, 2010 5 / 23
Research projects related to Oil and Gas
Projects
Seepages Detection of onshore hydrocarbon seepages
Detection of vegetation stress related to soil gasDetection of soil anomalies related to soil gas
Monitoring of exhaust
Pipelines Detection of vegetation stress after liquid leakageQuantification of pollution / stress levelMonitoring after remediation
Harald van der Werff (UTwente) Hyperspectral remote sensing September 15, 2010 6 / 23
Research projects related to Oil and Gas
Projects
Seepages Detection of onshore hydrocarbon seepages
Detection of vegetation stress related to soil gasDetection of soil anomalies related to soil gas
Monitoring of exhaust
Pipelines Detection of vegetation stress after liquid leakageQuantification of pollution / stress levelMonitoring after remediation
Harald van der Werff (UTwente) Hyperspectral remote sensing September 15, 2010 6 / 23
Direct detection of onshore hydrocarbon seepages
Kuehn et al., 2004. Hydrocarbon index – an algorithm for hyperspectral detection of
hydrocarbons. IJRS.
Harald van der Werff (UTwente) Hyperspectral remote sensing September 15, 2010 7 / 23
Indirect detection of onshore hydrocarbon seepages (1)
Hong, Y., 1999. Imaging spectrometry for hydrocarbon microseepage. PhD thesis, ITC.
Harald van der Werff (UTwente) Hyperspectral remote sensing September 15, 2010 8 / 23
Indirect detection of onshore hydrocarbon seepages (2)
Almeida-Filho, 2002. Remote detection of microseepage-induced soil alteration. IJRS.
Harald van der Werff (UTwente) Hyperspectral remote sensing September 15, 2010 9 / 23
Monitoring of vegetation stress (1)
Harald van der Werff (UTwente) Hyperspectral remote sensing September 15, 2010 10 / 23
Monitoring of vegetation stress (2)
Noomen et al., 2006. Continuum removed band depth analysis for detecting the effects of
natural gas, methane and ethane on maize reflectance. RSE.
Harald van der Werff (UTwente) Hyperspectral remote sensing September 15, 2010 11 / 23
Using the spatial domain (1)
Harald van der Werff (UTwente) Hyperspectral remote sensing September 15, 2010 12 / 23
Using the spatial domain (2)
(a) Aerial photo (b) ED classification
Harald van der Werff (UTwente) Hyperspectral remote sensing September 15, 2010 13 / 23
Using the spatial domain (3)
(c) Circle Hough transform (d) Line Hough transform
Harald van der Werff (UTwente) Hyperspectral remote sensing September 15, 2010 14 / 23
Using the spatial domain (4)
van der Werff et al., 2006. Combining spectral signals and spatial patterns using multiple Hough
transforms: An application for detection of natural gas seepages, CAGEO.
Harald van der Werff (UTwente) Hyperspectral remote sensing September 15, 2010 15 / 23
Monitoring of pipeline leakage (1)
van der Meijde et al., 2009, A spectral-geophysical approach for detecting pipeline leakage, JAG.
Harald van der Werff (UTwente) Hyperspectral remote sensing September 15, 2010 16 / 23
Monitoring of pipeline leakage (2)
van der Werff et al., 2008. A spatial-spectral approach for visualization of vegetation stress
resulting from pipeline leakage, Sensors.
Harald van der Werff (UTwente) Hyperspectral remote sensing September 15, 2010 17 / 23
Summary
Detection of a specific surface cover is not the problem
Distinction of My specific surface cover often is
Combine image domains that are needed to do the mapping
Combine sensors that are needed to do the mapping
There is a lot of variation in nature
Nature is (too) difficult to understand
Harald van der Werff (UTwente) Hyperspectral remote sensing September 15, 2010 18 / 23
Summary
Detection of a specific surface cover is not the problem
Distinction of My specific surface cover often is
Combine image domains that are needed to do the mapping
Combine sensors that are needed to do the mapping
There is a lot of variation in nature
Nature is (too) difficult to understand
Harald van der Werff (UTwente) Hyperspectral remote sensing September 15, 2010 18 / 23
Scientific results
4 dissertations
11 ISI journal papers
5 book chapters
numerous presentations
attraction of students
New paradigm: combine spatial and (hyper)spectral domains
But what about its application in the Oil and Gas sector?
Harald van der Werff (UTwente) Hyperspectral remote sensing September 15, 2010 19 / 23
Scientific results
4 dissertations
11 ISI journal papers
5 book chapters
numerous presentations
attraction of students
New paradigm: combine spatial and (hyper)spectral domains
But what about its application in the Oil and Gas sector?
Harald van der Werff (UTwente) Hyperspectral remote sensing September 15, 2010 19 / 23
Scientific results
4 dissertations
11 ISI journal papers
5 book chapters
numerous presentations
attraction of students
New paradigm: combine spatial and (hyper)spectral domains
But what about its application in the Oil and Gas sector?
Harald van der Werff (UTwente) Hyperspectral remote sensing September 15, 2010 19 / 23
Commercial results
(this is of course from our point of view. . . )
Harald van der Werff (UTwente) Hyperspectral remote sensing September 15, 2010 20 / 23
Problems
Data
Lack of data standardization, dependency on sensor type and make
Lack of standardized products or descriptions for the end-user, noquality labels
Application
Most empirical results are not transportable to other areas or sensors
Non-linear spectral mixing is (too) difficult to understand
Spectroscopy is not used where it is strong
Harald van der Werff (UTwente) Hyperspectral remote sensing September 15, 2010 21 / 23
Problems
Data
Lack of data standardization, dependency on sensor type and make
Lack of standardized products or descriptions for the end-user, noquality labels
Application
Most empirical results are not transportable to other areas or sensors
Non-linear spectral mixing is (too) difficult to understand
Spectroscopy is not used where it is strong
Harald van der Werff (UTwente) Hyperspectral remote sensing September 15, 2010 21 / 23
Possible applicationsLaboratory
Analysis of drill holes / cores (HyLogger, SISU)
Offshore
Determination of hydrocarbon types
Determination of hydrocarbon film thickness
Onshore
Use the temporal domain
Long–term monitoring of the environment
Spaceborn missions
Frequent overpass of the same instrument
Multiple instruments passing over
Eventually allows cross calibration
Harald van der Werff (UTwente) Hyperspectral remote sensing September 15, 2010 22 / 23
Possible applicationsLaboratory
Analysis of drill holes / cores (HyLogger, SISU)
Offshore
Determination of hydrocarbon types
Determination of hydrocarbon film thickness
Onshore
Use the temporal domain
Long–term monitoring of the environment
Spaceborn missions
Frequent overpass of the same instrument
Multiple instruments passing over
Eventually allows cross calibration
Harald van der Werff (UTwente) Hyperspectral remote sensing September 15, 2010 22 / 23
Hyperspectral Remote Sensing for Oil and GasThere’s no end to what it can (not) do.
Harald van der Werff Freek van der Meer
Twente University, Netherlands
September 15, 2010
Contact: [email protected], [email protected]
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