Conference proceeding
Signal variability and data compression considerations for petroleum forensics in two-dimensional gas chromatography
OCEANS 2017 - Aberdeen, Vol.2017-, pp.1-4
06/2017
DOI: 10.1109/OCEANSE.2017.8084876
Abstract
Disentangling the source-specific signature of petroleum biomarkers against the often stronger regional fingerprint has posed a fundamental challenge to oil-spill forensics in a petroleum-rich locale (e.g. Deepwater Horizon, Gulf of Mexico, April 2010). Two-dimensional gas chromatography (GC×GC) captures the joint peak distribution of hundreds of hydrocarbon biomarkers in crude petroleum through high-resolution images, which harbor a wealth of untapped information that can be exploited to achieve robust source differentiation. We harness this richness of two-dimensional gas chromatography (GC×GC) to solve this long-standing challenge using robust peak-mapping techniques. Specifically, we build upon recently proposed mapping techniques to investigate robustness of forensic pattern recognition amidst data uncertainties introduced by unknown ground truths and experimental variability.
Details
- Title: Subtitle
- Signal variability and data compression considerations for petroleum forensics in two-dimensional gas chromatography
- Creators
- Hamidreza Ghasemi Damavandi - University of IowaAnanya Sen Gupta - University of IowaRobert K Nelson - Woods Hole Oceanographic InstitutionChristopher M Reddy - Woods Hole Oceanographic Institution
- Resource Type
- Conference proceeding
- Publication Details
- OCEANS 2017 - Aberdeen, Vol.2017-, pp.1-4
- DOI
- 10.1109/OCEANSE.2017.8084876
- Publisher
- IEEE
- Language
- English
- Date published
- 06/2017
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984197271302771
Metrics
5 Record Views