@article {Garcia-Pineda2016,
	title = {{Transience and persistence of natural hydrocarbon seepage in Mississippi Canyon, Gulf of Mexico}},
	journal = {Deep Sea Research Part II: Topical Studies in Oceanography},
	volume = {129},
	year = {2016},
	pages = {119{\textendash}129},
	abstract = {Analysis of the magnitude of oil discharged from natural hydrocarbon seeps can improve understanding of the carbon cycle and the Gulf of Mexico (GOM) ecosystem. With use of a large archive of remote sensing data, in combination with geophysical and multibeam data, we identified, mapped, and characterized natural hydrocarbon seeps in the Macondo prospect region near the wreck site of the drill-rig Deepwater Horizon (DWH). Satellite image processing and the cluster analysis revealed locations of previously undetected seep zones. Including duplicate detections, a total of 562 individual gas plumes were also observed in multibeam surveys. In total, SAR imagery confirmed 52 oil-producing seep zones in the study area. In almost all cases gas plumes were associated with oil-producing seep zones. The cluster of seeps in the vicinity of lease block MC302 appeared to host the most persistent and prolific oil vents. Oil slicks and gas plumes observed over the DWH site were consistent with discharges of residual oil from the wreckage. In contrast with highly persistent oil seeps observed in the Green Canyon and Garden Banks lease areas, the seeps in the vicinity of Macondo Prospect were intermittent. The difference in the number of seeps and the quantity of surface oil detected in Green Canyon was almost two orders of magnitude greater than in Mississippi Canyon.},
	keywords = {HOV Alvin (Human Occupied Vehicle)},
	doi = {10.1016/j.dsr2.2015.05.011},
	author = {Garcia-Pineda, O and MacDonald, I and Silva, M and Shedd, W and Daneshgar Asl, S and Schumaker, B}
}
@article {Garcia-Pineda2010,
	title = {{Remote-sensing evaluation of geophysical anomaly sites in the outer continental slope, northern Gulf of Mexico}},
	journal = {Deep-Sea Research. Part II: Topical Studies in Oceanography},
	volume = {57},
	number = {21-23},
	year = {2010},
	pages = {1859{\textendash}1869},
	abstract = {Synthetic Aperture Radar (SAR) images obtained from satellites are a reliable tool for localizing natural hydrocarbon seeps. For this study, we used the Texture Classifier Neural Network Algorithm (TCNNA) to interpret SAR data from the RADARSAT satellite and a geostatistical clustering analysis to compare seeps detected in 579 SAR images covering the northern Gulf of Mexico (GOM). Geostatistical analysis results indicate that, in a typical active seep formation, oil vents would be found within a seep formation \~{}2.5 km in diameter. Repeated observations of slicks at a given seep formation indicate that advection of rising oil in the water column causes an offset from the vent depending on water depth. At 500 m, the radial offset is up to 1400 m; at 2000 m, it is up to 3270 m. Observations with submersibles showed that, in 100{\%} of the cases, the calculated seep formations that are matched with active oil seeps correspond to anomalies interpreted from surface amplitude maps and migration pathways in the seismic data. However, episodically, larger releases from persistent seeps occurred, and also some other seep formations showed intermittent releases. Our analysis indicates that active oil seeps detected with SAR represent a subset of the total array of geophysical features generated by hydrocarbon migration on the northern continental slope of the Gulf of Mexico.},
	keywords = {HOV Alvin (Human Occupied Vehicle), ROV Jason (Remotely Operated Vehicle)},
	issn = {0967-0645},
	doi = {10.1016/j.dsr2.2010.05.005},
	url = {http://dx.doi.org/10.1016/j.dsr2.2010.05.005},
	author = {Garcia-Pineda, O and MacDonald, I R and Zimmer, B and Shedd, B and Roberts, H}
}
