Artículos científicos
Evaluación del uso de sensores remotos para identificar manchas de crudo en áreas costa afuera del Uruguay
Eduardo Vasquez-Dolande- Ethel Morales
- Marcel Achkar
Publicado 2021-05-31
Palabras clave
- Teledetección,
- Hidrocarburos,
- Oil seeps,
- Radar SAR,
- Offshore uruguayo
Cómo citar
Vasquez-Dolande, E., Morales, E., & Achkar, M. (2021). Evaluación del uso de sensores remotos para identificar manchas de crudo en áreas costa afuera del Uruguay. Boletín De Geología, 43(2), 185–202. https://doi.org/10.18273/revbol.v43n2-2021010
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Resumen
El uso de Sensores Remotos para la captura de datos de la superficie terrestre y marina constituye un área de investigación muy activa en los últimos 20 años. Una de las posibles aplicaciones es la detección de hidrocarburos en cuerpos de agua, bien sea con fines ambientales o para la prospección de posibles yacimientos petrolíferos. Desde el punto de vista geológico, en el margen continental uruguayo se localizan tres cuencas sedimentarias: Punta del Este, Pelotas y Oriental del Plata, las cuales presentan posibilidades de contener acumulaciones de hidrocarburos. En este trabajo se propone la utilización de la teledetección para la identificación de manchas de crudo u oil seeps en áreas marinas. Se evalúan las distintas técnicas de percepción remota para la detección de oil seeps. Mediante una revisión del estado del arte, se establece que los sensores activos satelitales de radar de apertura sintética (SAR), presentan mejor desempeño en la detección de crudo que los pasivos. Posteriormente, se define una metodología sencilla y replicable que comprende el preprocesamiento y procesamiento de las imágenes SAR junto a la implementación de un algoritmo de detección de crudo que ha sido ampliamente probado y de fácil implementación, como lo es el de Brekke y Solberg de 2005. Luego de validar la metodología en áreas piloto del Canal de Santa Bárbara y el Río de la Plata se procede a aplicarla en el área de estudio, de 20.101 km2, en el offshore uruguayo, obteniéndose 2 detecciones que suman 18,7 ha, aunque con bajo nivel de confianza debido a que las polarizaciones disponibles (HH-HV) no son las óptimas para la detección. De los resultados obtenidos se concluye que la metodología empleada es viable para detectar oil seeps en grandes superficies de cuerpos de agua con costos relativamente bajos.
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Referencias
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ANCAP. (2011). Regional Geology: Offhore Uruguayan Basins. E&P ANCAP.
Arslan, N. (2018). Assessment of oil spills using Sentinel 1 C-band SAR and Landsat 8 multispectral sensors. Environmental Monitoring and Assessment, 190(11). https://doi.org/10.1007/s10661-018-7017-4
BP. (2015). BG Statistical Review of World Energy. BP.
Brekke, C.; Solberg, A. (2005). Oil spill detection by satellite remote sensing. Remote Sensing of Environment, 95(1), 1-13. https://doi.org/10.1016/j.rse.2004.11.015
Bueno, G.; Zacharias, A.; Orebro, S.; Supetino, J.; Falkenhein, F.; Martins-Neto, A. (2007). Bacia de Pelotas. Boletim de Geociências da Petrobras, 551-559.
Caruso, M.; Migliaccio, M.; Hargrove, J.; Garcia-Pineda, O.; Graber, H. (2013). Oil spills and slicks imaged by synthetic aperture radar. Oceanography, 26(2), 112-123.
Colombo, J.; Barreda, A.; Bilos, C.; Cappelletti, N.; Demichelis, S.; Lombardi, P.; Migoya M.C; Skorutka C.; Suarez, G. (2005). Oil spill in the Río de la Plata estuary, Argentina: 1. Biogeochemical assessment of waters, sediments, soils and biota. Environmental Pollution, 134(2), 277-289. https://doi.org/10.1016/j.envpol.2004.02.032
Conti, B.; Perinotto, J.; Veroslavsky, G.; Castillo, M.; de Santa Ana, H.; Soto, M.; Morales, E. (2017). Speculative petroleum systems of the southern Pelotas Basin, offhore Uruguay. Marine and Petroleum Geology, 83, 1-25. https://doi.org/10.1016/j.marpetgeo.2017.02.022
Energy Information Agency. (2019). International Energy Outlook. US Department of Energy.
ESA. (2019). ESA EduSpace. http://www.esa.int/SPECIALS/Eduspace_ES/SEMZ3YD3GXF_0.html
Ehret, T.; Davy, A.; Morel, J.M.; Delbracio, M. (2019). Image anomalies: A review and synthesis of detection methods. Journal of Mathematical Imaging and Vision, 61(5), 710-743. https://doi.org/10.1007/s10851-019-00885-0
Fingas, M.; Brown C. (2018). A review of oil spill remote sensing. Sensors, 18(1). https://doi.org/10.3390/s18010091
Fiscella, B.; Giancaspro, A.; Nirchio, F.; Pavese, P.; Trivero, P. (2000). Oil spill detection using marine SAR images. International Journal of Remote Sensing, 21(18), 3561-3566. https://doi.org/10.1080/014311600750037589
Frate, F.; Petrocchi, A.; Lichtenegger, J.; Calabresi, G. (2000). Neural networks for oil spill detection using ERS-SAR data. IEEE Transactions on Geoscience and Remote Sensing, 38(5), 2282-2287. https://doi.org/10.1109/36.868885
Freeman, H. (2003). Evaluation of the use of hyperspectral imagery for identifiation of microseeps near Santa Barbara, California. Project Report Master, West Virginia University.
Heine, C.; Zoethout, J.; Muller, R.D. (2013). Kinematics of the South Atlantic rift. Solid Earth, 4, 215-253. https://doi.org/10.5194/se-4-215-2013
Hu, C.; Li, X.; Pichel, W.; Muller-Karger, F. (2009). Detection of natural oil slicks in the NW Gulf of Mexico using MODIS imagery. Geophysical Research Letters, 36(1). https://doi.org/10.1029/2008GL036119
Hu, C.; Muller-Karger, F.; Taylor, C.; Myhre, D.; Murch, B.; Odriozola, A.; Godoy, G. (2003). MODIS detects oil spills in Lake Maracaibo, Venezuela. EOS, Transactions, 84(33), 313-319. https://doi.org/10.1029/2003EO330002
Jackson, C.; Apel, J. (2004). Synthetic Aperture Radar Marine User´s Manual. National Oceanic and Atmospheric Administration (NOAA).
Jha, M.; Levy, J.; Gao, Y. (2008). Advances in remote sensing for oil spill disaster management: State-of-the-Art sensors technology for oil spill surveillance. Sensors, 8(1), 236-255. https://doi.org/10.3390/s8010236
Kudryashova, G.; Obraztsov, Y.; Opekan, A.; Perminov, N.; Protasov, Y. (1986). Optical properties of liquid dielectrics in the ultraviolet, visible, and near infrared regions of the spectrum. Journal of Applied Spectroscopy, 43(4), 1108-1113. https://doi.org/10.1007/BF00662325
Landes, K. (1973). Mother nature as an oil polluter. AAPG Bulletin, 57(4), 637-641. https://doi.org/10.1306/819A430E-16C5-11D7-8645000102C1865D
Leifer, I.; Lehr, W.; Simecek-Beatty, D.; Bradley, E.; Clark, R.; Dennison, P.; Hu, Y.; Matheson, S.; Jones, C.; Holt, B.; Reif, M.; Roberts, D.; Svejkovsky, J.; Swayze, G.; Wozencraft, J. (2012). State of the art satellite and airborne marine oil spill remote sensing: Application to the BP Deepwater Horizon oil spill. Remote Sensing of Environment, 124, 185-209. https://doi.org/10.1016/j.rse.2012.03.024
Lorenson, T.; Hostettler, F.; Rosenbauer, R.; Peters, K.; Dougherty, J.; Kvenvolden, K.; Gutmacher, C.; Wong, F.; Normark, W. (2009). Natural offshore oil seepage and related tarball accumulation on the California coastline—Santa Barbara Channel and the Southern Santa Maria Basin; source identification and inventory. Reston: U.S. Geological Survey.
Marzialetti, P. (2012). Monitoreo de derrames de hidrocarburos en cuerpos de agua mediante técnicas de sensado remoto. Tesis de Maestría, Universidad Nacional de Córdoba, Córdoba, Argentina.
Minchella, A. (2016). ESA SNAP-Sentinel-1 training course. Oxfordshire: Harwell: Satellite Applications Catapult - Electron Building.
Morales, E. (2013). Evolução tectônica e estratigráfica das bacias da margem continental do Uruguai. Tesis, Universidade Estadual Paulista Júlio de Mesquita Filho, Rio Claro, Brasil.
Morales, E.; Chang, H.; Soto, M.; Santos-Corrêa, F.; Veroslavsky, G.; de Santa Ana, H.; Conti, B.; Daners, G. (2017). Tectonic and stratigraphic evolution of the Punta del Este and Pelotas Basins (offshore Uruguay). Petroleum Geoscience, 23(4), 415-426. https://doi.org/10.1144/petgeo2016-059
Morales, E.; Conti, B.; Soto, M.; Viera-Honegger, B. (2020). Risks inherent in the Cenozoic stratigraphic plays in basins of the Uruguayan continental margin. Marine and Petroleum Geology, 112. https://doi.org/10.1016/j.marpetgeo.2019.104072
Moulin, M.; Aslanian, D.; Olivet, J.L.; Contrucci, I.; Matias, L.; Géli, L.; Klingelhoefer, F.; Nouzé, H.; Réhault, J.P.; Unternehr, P. (2005). Geological constraints on the evolution of the Angolan margin based on reflection and refraction seismic data (ZaiAngo project). Geophysical Journal International, 162(3), 793-810. https://doi.org/10.1111/j.1365-246X.2005.02668.x
Musé, P.; Sur, F.; Cao, F.; Gousseau, Y.; Morel, J. (2006). An A Contrario Decision Method for Shape Element Recognition. International Journal of Computer Vision, 69(3), 295-315. https://doi.org/10.1007/s11263-006-7546-0
NASA. (2012). Earth Science Remote Sensing. https://earthobservatory.nasa.gov/features/RemoteSensing/remote_08.php
National Research Council. (2003). Oil in the Sea III: Inputs, Fates and Effects. The National Academies Press.
Podest, E. (2018). ARSET: Applied Remote Sensing Training. https://arset.gsfc.nasa.gov/disasters/webinars/intro-SAR
Quigley, D.; Hornafius, J.; Luyendyk, B.; Francis, R.; Clark, J.; Washburn, L. (1999). Decrease in natural marine hydrocarbon seepage near Coal Oil Point, California, associated with offshore oil production. Geology, 27(11), 1047-1050. https://doi.org/10.1130/0091-7613(1999)027<1047:DINMHS>2.3.CO;2
Reed, M. (1992). State-of-the art summary: Modeling of physical and chemical processes governing fate of spilled oil. ASCE Workshop on Oil Spill Modeling. Charleston.
Silveira, D.; Machado, M. (2004). Bacias sedimentares brasileiras: Bacia de Pelotas. Série Bacias Sedimentares ano 6, 67.
Solberg, A.; Brekke, C.; Solberg, R.; Husoy, P.O. (2004). Algorithms for oil spill detection in Radarsat and ENVISAT SAR images. International Geoscience and Remote Sensing Symposium, Anchorage, Alaska. https://doi.org/10.1109/IGARSS.2004.1370264
Solberg, A.; Storvik, G.; Solberg, R.; Volden, E. (1999). Automatic detection of oil spills in ERS SAR images. IEEE Transactions on Geoscience and Remote Sensing, 37(4), 1916-1924. https://doi.org/10.1109/36.774704
Solorza, R.; Panozzo, M. (2018). Tecnicas de Procesamiento Digital en Teledetección SAR. Instituto de Altos Estudios Espaciales Mario Gulich.
Soto, M.; Morales, E.; Veroslavsky, G.; de Santa Ana, H.; Ucha, N.; Rodriguez, P. (2011). The continental margin of Uruguay: Crustal architecture and segmentation. Marine and Petroleum Geology, 28(9), 1676-1689. https://doi.org/10.1016/j.marpetgeo.2011.07.001
Stoakes, F.; Campbell, C.; Cass, R.; Ucha, N. (1991). Seismic stratigraphic analysis of the Punta del Este Basin, offshore Uruguay, South America. AAPG Bulletin, 75(2), 219-240. https://doi.org/10.1306/0C9B278B-1710-11D7-8645000102C1865D
Topouzelis, K.; Singha, S. (2017). Oil spill detection using space-borne Sentinel-1 SAR imagery. In: M. Fingas (eds). Oil Spill Science and Technology (pp. 387-402). 2nd edition. Gulf Professional Publishing. https://doi.org/10.1016/B978-0-12-809413-6.00006-0
Ucha, N.; de Santa Ana, H.; Veroslavsky, G. (2004). La Cuenca Punta del Este: geología y potencial hidrocarburífero. En: G. Veroslavsky, M. Ubilla, S. Martínez (eds.). Cuencas sedimentarias de Uruguay: geología, paleontología y recursos naturales: Mesozoico (pp. 173-192). UR. FC. DIRAC; SUG.
ANCAP. (2011). Regional Geology: Offhore Uruguayan Basins. E&P ANCAP.
Arslan, N. (2018). Assessment of oil spills using Sentinel 1 C-band SAR and Landsat 8 multispectral sensors. Environmental Monitoring and Assessment, 190(11). https://doi.org/10.1007/s10661-018-7017-4
BP. (2015). BG Statistical Review of World Energy. BP.
Brekke, C.; Solberg, A. (2005). Oil spill detection by satellite remote sensing. Remote Sensing of Environment, 95(1), 1-13. https://doi.org/10.1016/j.rse.2004.11.015
Bueno, G.; Zacharias, A.; Orebro, S.; Supetino, J.; Falkenhein, F.; Martins-Neto, A. (2007). Bacia de Pelotas. Boletim de Geociências da Petrobras, 551-559.
Caruso, M.; Migliaccio, M.; Hargrove, J.; Garcia-Pineda, O.; Graber, H. (2013). Oil spills and slicks imaged by synthetic aperture radar. Oceanography, 26(2), 112-123.
Colombo, J.; Barreda, A.; Bilos, C.; Cappelletti, N.; Demichelis, S.; Lombardi, P.; Migoya M.C; Skorutka C.; Suarez, G. (2005). Oil spill in the Río de la Plata estuary, Argentina: 1. Biogeochemical assessment of waters, sediments, soils and biota. Environmental Pollution, 134(2), 277-289. https://doi.org/10.1016/j.envpol.2004.02.032
Conti, B.; Perinotto, J.; Veroslavsky, G.; Castillo, M.; de Santa Ana, H.; Soto, M.; Morales, E. (2017). Speculative petroleum systems of the southern Pelotas Basin, offhore Uruguay. Marine and Petroleum Geology, 83, 1-25. https://doi.org/10.1016/j.marpetgeo.2017.02.022
Energy Information Agency. (2019). International Energy Outlook. US Department of Energy.
ESA. (2019). ESA EduSpace. http://www.esa.int/SPECIALS/Eduspace_ES/SEMZ3YD3GXF_0.html
Ehret, T.; Davy, A.; Morel, J.M.; Delbracio, M. (2019). Image anomalies: A review and synthesis of detection methods. Journal of Mathematical Imaging and Vision, 61(5), 710-743. https://doi.org/10.1007/s10851-019-00885-0
Fingas, M.; Brown C. (2018). A review of oil spill remote sensing. Sensors, 18(1). https://doi.org/10.3390/s18010091
Fiscella, B.; Giancaspro, A.; Nirchio, F.; Pavese, P.; Trivero, P. (2000). Oil spill detection using marine SAR images. International Journal of Remote Sensing, 21(18), 3561-3566. https://doi.org/10.1080/014311600750037589
Frate, F.; Petrocchi, A.; Lichtenegger, J.; Calabresi, G. (2000). Neural networks for oil spill detection using ERS-SAR data. IEEE Transactions on Geoscience and Remote Sensing, 38(5), 2282-2287. https://doi.org/10.1109/36.868885
Freeman, H. (2003). Evaluation of the use of hyperspectral imagery for identifiation of microseeps near Santa Barbara, California. Project Report Master, West Virginia University.
Heine, C.; Zoethout, J.; Muller, R.D. (2013). Kinematics of the South Atlantic rift. Solid Earth, 4, 215-253. https://doi.org/10.5194/se-4-215-2013
Hu, C.; Li, X.; Pichel, W.; Muller-Karger, F. (2009). Detection of natural oil slicks in the NW Gulf of Mexico using MODIS imagery. Geophysical Research Letters, 36(1). https://doi.org/10.1029/2008GL036119
Hu, C.; Muller-Karger, F.; Taylor, C.; Myhre, D.; Murch, B.; Odriozola, A.; Godoy, G. (2003). MODIS detects oil spills in Lake Maracaibo, Venezuela. EOS, Transactions, 84(33), 313-319. https://doi.org/10.1029/2003EO330002
Jackson, C.; Apel, J. (2004). Synthetic Aperture Radar Marine User´s Manual. National Oceanic and Atmospheric Administration (NOAA).
Jha, M.; Levy, J.; Gao, Y. (2008). Advances in remote sensing for oil spill disaster management: State-of-the-Art sensors technology for oil spill surveillance. Sensors, 8(1), 236-255. https://doi.org/10.3390/s8010236
Kudryashova, G.; Obraztsov, Y.; Opekan, A.; Perminov, N.; Protasov, Y. (1986). Optical properties of liquid dielectrics in the ultraviolet, visible, and near infrared regions of the spectrum. Journal of Applied Spectroscopy, 43(4), 1108-1113. https://doi.org/10.1007/BF00662325
Landes, K. (1973). Mother nature as an oil polluter. AAPG Bulletin, 57(4), 637-641. https://doi.org/10.1306/819A430E-16C5-11D7-8645000102C1865D
Leifer, I.; Lehr, W.; Simecek-Beatty, D.; Bradley, E.; Clark, R.; Dennison, P.; Hu, Y.; Matheson, S.; Jones, C.; Holt, B.; Reif, M.; Roberts, D.; Svejkovsky, J.; Swayze, G.; Wozencraft, J. (2012). State of the art satellite and airborne marine oil spill remote sensing: Application to the BP Deepwater Horizon oil spill. Remote Sensing of Environment, 124, 185-209. https://doi.org/10.1016/j.rse.2012.03.024
Lorenson, T.; Hostettler, F.; Rosenbauer, R.; Peters, K.; Dougherty, J.; Kvenvolden, K.; Gutmacher, C.; Wong, F.; Normark, W. (2009). Natural offshore oil seepage and related tarball accumulation on the California coastline—Santa Barbara Channel and the Southern Santa Maria Basin; source identification and inventory. Reston: U.S. Geological Survey.
Marzialetti, P. (2012). Monitoreo de derrames de hidrocarburos en cuerpos de agua mediante técnicas de sensado remoto. Tesis de Maestría, Universidad Nacional de Córdoba, Córdoba, Argentina.
Minchella, A. (2016). ESA SNAP-Sentinel-1 training course. Oxfordshire: Harwell: Satellite Applications Catapult - Electron Building.
Morales, E. (2013). Evolução tectônica e estratigráfica das bacias da margem continental do Uruguai. Tesis, Universidade Estadual Paulista Júlio de Mesquita Filho, Rio Claro, Brasil.
Morales, E.; Chang, H.; Soto, M.; Santos-Corrêa, F.; Veroslavsky, G.; de Santa Ana, H.; Conti, B.; Daners, G. (2017). Tectonic and stratigraphic evolution of the Punta del Este and Pelotas Basins (offshore Uruguay). Petroleum Geoscience, 23(4), 415-426. https://doi.org/10.1144/petgeo2016-059
Morales, E.; Conti, B.; Soto, M.; Viera-Honegger, B. (2020). Risks inherent in the Cenozoic stratigraphic plays in basins of the Uruguayan continental margin. Marine and Petroleum Geology, 112. https://doi.org/10.1016/j.marpetgeo.2019.104072
Moulin, M.; Aslanian, D.; Olivet, J.L.; Contrucci, I.; Matias, L.; Géli, L.; Klingelhoefer, F.; Nouzé, H.; Réhault, J.P.; Unternehr, P. (2005). Geological constraints on the evolution of the Angolan margin based on reflection and refraction seismic data (ZaiAngo project). Geophysical Journal International, 162(3), 793-810. https://doi.org/10.1111/j.1365-246X.2005.02668.x
Musé, P.; Sur, F.; Cao, F.; Gousseau, Y.; Morel, J. (2006). An A Contrario Decision Method for Shape Element Recognition. International Journal of Computer Vision, 69(3), 295-315. https://doi.org/10.1007/s11263-006-7546-0
NASA. (2012). Earth Science Remote Sensing. https://earthobservatory.nasa.gov/features/RemoteSensing/remote_08.php
National Research Council. (2003). Oil in the Sea III: Inputs, Fates and Effects. The National Academies Press.
Podest, E. (2018). ARSET: Applied Remote Sensing Training. https://arset.gsfc.nasa.gov/disasters/webinars/intro-SAR
Quigley, D.; Hornafius, J.; Luyendyk, B.; Francis, R.; Clark, J.; Washburn, L. (1999). Decrease in natural marine hydrocarbon seepage near Coal Oil Point, California, associated with offshore oil production. Geology, 27(11), 1047-1050. https://doi.org/10.1130/0091-7613(1999)027<1047:DINMHS>2.3.CO;2
Reed, M. (1992). State-of-the art summary: Modeling of physical and chemical processes governing fate of spilled oil. ASCE Workshop on Oil Spill Modeling. Charleston.
Silveira, D.; Machado, M. (2004). Bacias sedimentares brasileiras: Bacia de Pelotas. Série Bacias Sedimentares ano 6, 67.
Solberg, A.; Brekke, C.; Solberg, R.; Husoy, P.O. (2004). Algorithms for oil spill detection in Radarsat and ENVISAT SAR images. International Geoscience and Remote Sensing Symposium, Anchorage, Alaska. https://doi.org/10.1109/IGARSS.2004.1370264
Solberg, A.; Storvik, G.; Solberg, R.; Volden, E. (1999). Automatic detection of oil spills in ERS SAR images. IEEE Transactions on Geoscience and Remote Sensing, 37(4), 1916-1924. https://doi.org/10.1109/36.774704
Solorza, R.; Panozzo, M. (2018). Tecnicas de Procesamiento Digital en Teledetección SAR. Instituto de Altos Estudios Espaciales Mario Gulich.
Soto, M.; Morales, E.; Veroslavsky, G.; de Santa Ana, H.; Ucha, N.; Rodriguez, P. (2011). The continental margin of Uruguay: Crustal architecture and segmentation. Marine and Petroleum Geology, 28(9), 1676-1689. https://doi.org/10.1016/j.marpetgeo.2011.07.001
Stoakes, F.; Campbell, C.; Cass, R.; Ucha, N. (1991). Seismic stratigraphic analysis of the Punta del Este Basin, offshore Uruguay, South America. AAPG Bulletin, 75(2), 219-240. https://doi.org/10.1306/0C9B278B-1710-11D7-8645000102C1865D
Topouzelis, K.; Singha, S. (2017). Oil spill detection using space-borne Sentinel-1 SAR imagery. In: M. Fingas (eds). Oil Spill Science and Technology (pp. 387-402). 2nd edition. Gulf Professional Publishing. https://doi.org/10.1016/B978-0-12-809413-6.00006-0
Ucha, N.; de Santa Ana, H.; Veroslavsky, G. (2004). La Cuenca Punta del Este: geología y potencial hidrocarburífero. En: G. Veroslavsky, M. Ubilla, S. Martínez (eds.). Cuencas sedimentarias de Uruguay: geología, paleontología y recursos naturales: Mesozoico (pp. 173-192). UR. FC. DIRAC; SUG.