Analysis of Oil-Volume Fluxes of Hydrocarbon-Seep Formations on the Green Canyon and Mississippi Canyon: A Study With 3D-Seismic Attributesin Combination With Satellite and Acoustic Data
- Oscar Garcia-Pineda (Florida State University) | Ian MacDonald (Florida State University) | William Shedd (Bureau of Ocean Energy Management)
- Document ID
- Society of Petroleum Engineers
- SPE Reservoir Evaluation & Engineering
- Publication Date
- November 2014
- Document Type
- Journal Paper
- 430 - 435
- 2014.Society of Petroleum Engineers
- 5.1.2 Faults and Fracture Characterisation, 6.5.2 Water use, produced water discharge and disposal, 1.6.9 Coring, Fishing, 6.5.5 Oil and Chemical Spills, 5.1.1 Exploration, Development, Structural Geology
- seeps, SAR, seep, remote sensing , flux
- 0 in the last 30 days
- 353 since 2007
- Show more detail
- View rights & permissions
|SPE Member Price:||USD 12.00|
|SPE Non-Member Price:||USD 35.00|
Natural hydrocarbon seeps have an important role in the carbon cycle and in the Gulf of Mexico (GOM) ecosystem. The magnitude of these natural oil seeps was analyzed with 3D-seismic attributes in combination with satellite and acoustic data. Hydrocarbon seepage in the deep water of the GOM is associated with deep cutting faults, generated by vertical salt movement, that provide conduits for the upward migration of oil and gas. Seeps transform surface geology and generate prominent geophysical targets that can be identified in 3D-seismic data. Seafloor-amplitude anomalies in plain view correlate with the underlying fault systems. On the basis of 3D-seismic data, detailed mapping of the northern GOM has identified more than 24,000 geophysical anomalies across the basin. In addition to seismic data, synthetic aperture-radar (SAR) images have proved to be a reliable tool for localizing natural seepage of oil. We used a texture-classifier neural-network algorithm (TCNNA) to process more than 1,200 SAR images collected over the GOM. We quantified more than 1,000 individual seep formations distributed along the outer continental shelf and in deep water. Comparison of the geophysical anomalies with the SAR oil-slick targets shows good general agreement between the distributions of the two indicators. However, there are far fewer active oil seeps than geophysical anomalies, probably because of timing constraints during the basin evolution. Studying the size of the oil slicks on the surface (normalized to weather conditions), we found that the average flux rate of oil (per seep) may be affected by the local change in the baroclinic and barotrophic pressures [e.g., warm core eddies (WCEs) and storms]. We found that oil slicks in the Mississippi Canyon (MC) protraction area tend to be more sensitive to pressure changes than Green Canyon (GC) protraction-area seeps.
|File Size||850 KB||Number of Pages||6|
Alpers, W. and Espedal, H. 2004. Oils and Surfactants. Synthetic Aperture Radar Marine User’s Manual. ed. C. Jackson and J. Apel, 263–277. US Department of Commerce, NOAA.
Fisher, C., Roberts, H., and Cordes Bernard, E.B. 2007. Cold Seeps and Associated Communities of the Gulf of Mexico. Oceanography 20 (4): 68–79.
Garcia-Pineda, O., MacDonald, I.R., and Zimmer, B. 2008. Synthetic Aperture Radar Image Processing Using the Supervised Textural-Neural Network Classification Algorithm. Proc., IEEE 2008 International Geoscience and Remote Sensing Symposium (IGARSS’08), Boston, Massachusetts, 7–11 July.
Garcia-Pineda, O., MacDonald, I., Zimmer, B. et al. 2010. Remote-Sensing Evaluation of Geophysical Anomaly Sites in the Outer Continental Slope, Northern Gulf of Mexico. Deep Sea Res. II 57: 1859–1869. http://dx.doi.org/10.1016/j.dsr2.2010.05.005.
Garcia-Pineda, O., Zimmer, B., Howard, M. et al. 2009. Using SAR Images to Delineate Ocean Oil Slicks With a Texture-Classifying Neural Network Algorithm (TCNNA). Canadian J. Remote Sensing 35 (5): 1–11.
Leifer, I. and MacDonald, I. 2003. Dynamics of the Gas Flux From Shallow Gas Hydrate Deposits: Interaction Between Oily Hydrate Bubbles and the Oceanic Environment. Earth & Planetary Sci. Lett. 210 (3–4): 411–424.
MacDonald, I., Reilly, J., Best, S.E. et al. 1996. Remote Sensing Inventory of Active Oil Seeps and Chemosynthetic Communities in the Northern Gulf Of Mexico. AAPG Memoir 66: 27–37.
Pellon de Miranda, F., Mendoza, A., Marmol, Q. et al. 2004. Analysis of RADARSAT-1 Data for Offshore Monitoring Activities in the Cantarell Complex, Gulf of Mexico, Using the Unsupervised Semivariogram Textural Clasifier (UTSC). Canadian J. Remote Sensing 30 (3): 424–436.
Roberts, H. 2001. Fluid and Gas Expulsion on the Northern Gulf of Mexico Continental Slope: Mud-Prone to Mineral-Prone Responses. American Geophysical Union 124: 145–161.
Roberts, H.H. and Carney, R.S. 1997. Evidence of Episodic Fluid, Gas, and Sediment Venting on the Northern Gulf of Mexico Continental Slope. Econ. Geol. Bull. Soc. Econ. Geol. 92 (7–8): 863–879.
Sassen, R., Losh, S.L., Cathles, L. III et al. 2001. Massive Vein-Filling Gas Hydrate: Relation to Ongoing Gas Migration From the Deep Subsurface in the Gulf of Mexico. Marine & Petrol. Geol. 18 (5): 551–560. http://dx.doi.org/10.1016/S0264-8172(01)00014-9.