Latest revision as of 11:38, 16 February 2021

Abstract

  Leakage of hydrocarbon has a large economic and environmental impact. Traditional methods for investigating leakage and resulting pollution, such as drilling, are destructive, time consuming and expensive. Remote sensing is an alternative that is non-destructive and has been been tested extensively for exploration of onshore hydrocarbon reservoirs and detection of hydrocarbons at the Earth’s surface. In this research, a leaking pipeline is investigated through field reflectance spectrometry and the findings are validated with traditional drilling and geophysical measurements. The measurements show a significant increase of vegetation anomalies on the pipeline with respect to areas further away. The observed anomalies are positively related to hydrocarbon pollution through chemical analysis of drillings. Subsurface geophysical measurements show a large correlation with observed surface vegetation stress, enhancing the identification of hydrocarbon-related vegetation stress through spectroscopy.

Original document

The different versions of the original document can be found in:

• http://dx.doi.org/10.1016/j.jag.2008.08.002

• https://research.utwente.nl/en/publications/a-spectral--geophysical-approach-for-detecting-pipeline-leakage(0785e454-2728-4b33-9754-62b00cdf090f).html

• https://api.elsevier.com/content/article/PII:S0303243408000597?httpAccept=text/xml,

https://api.elsevier.com/content/article/PII:S0303243408000597?httpAccept=text/plain,

http://dx.doi.org/10.1016/j.jag.2008.08.002 under the license https://www.elsevier.com/tdm/userlicense/1.0/

• https://www.sciencedirect.com/science/article/pii/S0303243408000597,

https://dblp.uni-trier.de/db/journals/aeog/aeog11.html#MeijdeWJMG09,

https://www.cabdirect.org/cabdirect/abstract/20093024752,

https://research.utwente.nl/en/publications/a-spectral-geophysical-approach-for-detecting-pipeline-leakage,

https://www.narcis.nl/publication/RecordID/oai%3Aris.utwente.nl%3Apublications%2F0785e454-2728-4b33-9754-62b00cdf090f,

https://core.ac.uk/display/92184104,

https://academic.microsoft.com/#/detail/1967464443