Hyperspectral Remote Sensing for Oil and Gas - Earth Online · Hyperspectral Remote Sensing for Oil...

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Hyperspectral Remote Sensing for Oil and Gas There’s no end to what it can (not) do. Harald van der Werff Freek van der Meer Twente University, Netherlands September 15, 2010

Transcript of Hyperspectral Remote Sensing for Oil and Gas - Earth Online · Hyperspectral Remote Sensing for Oil...

Page 1: Hyperspectral Remote Sensing for Oil and Gas - Earth Online · Hyperspectral Remote Sensing for Oil and Gas There’s no end to what it can (not) do. Harald van der Wer Freek van

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

Page 2: Hyperspectral Remote Sensing for Oil and Gas - Earth Online · Hyperspectral Remote Sensing for Oil and Gas There’s no end to what it can (not) do. Harald van der Wer Freek van

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

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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

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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

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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

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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

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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

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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

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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

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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

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Monitoring of vegetation stress (1)

Harald van der Werff (UTwente) Hyperspectral remote sensing September 15, 2010 10 / 23

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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

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Using the spatial domain (1)

Harald van der Werff (UTwente) Hyperspectral remote sensing September 15, 2010 12 / 23

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Using the spatial domain (2)

(a) Aerial photo (b) ED classification

Harald van der Werff (UTwente) Hyperspectral remote sensing September 15, 2010 13 / 23

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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

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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

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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

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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

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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

Page 20: Hyperspectral Remote Sensing for Oil and Gas - Earth Online · Hyperspectral Remote Sensing for Oil and Gas There’s no end to what it can (not) do. Harald van der Wer Freek van

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

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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

Page 22: Hyperspectral Remote Sensing for Oil and Gas - Earth Online · Hyperspectral Remote Sensing for Oil and Gas There’s no end to what it can (not) do. Harald van der Wer Freek van

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

Page 23: Hyperspectral Remote Sensing for Oil and Gas - Earth Online · Hyperspectral Remote Sensing for Oil and Gas There’s no end to what it can (not) do. Harald van der Wer Freek van

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

Page 24: Hyperspectral Remote Sensing for Oil and Gas - Earth Online · Hyperspectral Remote Sensing for Oil and Gas There’s no end to what it can (not) do. Harald van der Wer Freek van

Commercial results

(this is of course from our point of view. . . )

Harald van der Werff (UTwente) Hyperspectral remote sensing September 15, 2010 20 / 23

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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

Page 26: Hyperspectral Remote Sensing for Oil and Gas - Earth Online · Hyperspectral Remote Sensing for Oil and Gas There’s no end to what it can (not) do. Harald van der Wer Freek van

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

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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

Page 28: Hyperspectral Remote Sensing for Oil and Gas - Earth Online · Hyperspectral Remote Sensing for Oil and Gas There’s no end to what it can (not) do. Harald van der Wer Freek van

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

Page 29: Hyperspectral Remote Sensing for Oil and Gas - Earth Online · Hyperspectral Remote Sensing for Oil and Gas There’s no end to what it can (not) do. Harald van der Wer Freek van

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]