Abstract:The role of methane as a green-house gas is widely recognized and has sparked considerable efforts to quantify the contribution from natural methane sources including submarine seeps. A variety of techniques and approaches have been directed at quantifying methane fluxes from seeps from just below the sediment water interface all the way to the ocean atmosphere interface. However, there have been no systematic efforts to characterize the amount and distribution of dissolved methane around seeps. This is critic… Show more
“…In the two erosion craters, the ROV sonar survey showed that bubbles were released from several individual vents (Figure 7). Similar venting has been reported from natural seeps (De Beukelaer et al, 2003;Johansen et al, 2014;Sahling et al, 2016;Johansen et al, 2020;Meurer et al, 2021). Under such circumstances, bubble density would be locally variable.…”
Section: Discussion Of Resultssupporting
confidence: 74%
“…Hu et al (2012), who collected pumped water samples from the surface interface, failed to confirm this result at Bush Hill and a second ~1,000 m seep. Meurer et al (2021), sampling with MET sensors deployed on gliders over Bush Hill, measured methane concentrations of up to 0.4 μM/L, well below the observations of Solomon et al (2009). Notably, results from the work of Yvon-Lewis et al (2011), using techniques to similar to those used by Hu et al (2012) and Ryerson et al (2011), using airborne measurements, suggested that oil reaching the surface (~3,000 m 3 /d) from the Deepwater Horizon oil spill, which leaked from 4,500 m depth, was a negligible source of methane to air.…”
In 2004, destruction of a Gulf of Mexico oil platform by Hurricane Ivan initiated a discharge of oil and gas from a water depth of 135 m, where its bundle of well conductors was broken below the seafloor near the toppled wreckage. Discharge continued largely unabated until 2019, when findings partly reported herein prompted installation of a containment device that could trap oil before it entered the water column. In 2018, prior to containment, oil and gas bubbles formed plumes that rose to the surface, which were quantified by acoustic survey, visual inspection, and discrete collections in the water column. Continuous air sampling with a cavity ring-down spectrometer (CRDS) over the release site detected atmospheric methane concentrations as high as 11.7, ∼6 times greater than an ambient baseline of 1.95 ppmv. An inverse plume model, calibrated to tracer-gas release, estimated emission into the atmosphere of 9 g/s. In 2021, the containment system allowed gas to escape into the water at 120 m depth after passing through a separator that diverted oil into storage tanks. The CRDS detected transient peaks of methane as high as 15.9 ppmv ppm while oil was being recovered to a ship from underwater storage tanks. Atmospheric methane concentrations were elevated 1–2 ppmv over baseline when the ship was stationary within the surfacing plumes of gas after oil was removed from the flow. Oil rising to the surface was a greater source of methane to the atmosphere than associated gas bubbles.
“…In the two erosion craters, the ROV sonar survey showed that bubbles were released from several individual vents (Figure 7). Similar venting has been reported from natural seeps (De Beukelaer et al, 2003;Johansen et al, 2014;Sahling et al, 2016;Johansen et al, 2020;Meurer et al, 2021). Under such circumstances, bubble density would be locally variable.…”
Section: Discussion Of Resultssupporting
confidence: 74%
“…Hu et al (2012), who collected pumped water samples from the surface interface, failed to confirm this result at Bush Hill and a second ~1,000 m seep. Meurer et al (2021), sampling with MET sensors deployed on gliders over Bush Hill, measured methane concentrations of up to 0.4 μM/L, well below the observations of Solomon et al (2009). Notably, results from the work of Yvon-Lewis et al (2011), using techniques to similar to those used by Hu et al (2012) and Ryerson et al (2011), using airborne measurements, suggested that oil reaching the surface (~3,000 m 3 /d) from the Deepwater Horizon oil spill, which leaked from 4,500 m depth, was a negligible source of methane to air.…”
In 2004, destruction of a Gulf of Mexico oil platform by Hurricane Ivan initiated a discharge of oil and gas from a water depth of 135 m, where its bundle of well conductors was broken below the seafloor near the toppled wreckage. Discharge continued largely unabated until 2019, when findings partly reported herein prompted installation of a containment device that could trap oil before it entered the water column. In 2018, prior to containment, oil and gas bubbles formed plumes that rose to the surface, which were quantified by acoustic survey, visual inspection, and discrete collections in the water column. Continuous air sampling with a cavity ring-down spectrometer (CRDS) over the release site detected atmospheric methane concentrations as high as 11.7, ∼6 times greater than an ambient baseline of 1.95 ppmv. An inverse plume model, calibrated to tracer-gas release, estimated emission into the atmosphere of 9 g/s. In 2021, the containment system allowed gas to escape into the water at 120 m depth after passing through a separator that diverted oil into storage tanks. The CRDS detected transient peaks of methane as high as 15.9 ppmv ppm while oil was being recovered to a ship from underwater storage tanks. Atmospheric methane concentrations were elevated 1–2 ppmv over baseline when the ship was stationary within the surfacing plumes of gas after oil was removed from the flow. Oil rising to the surface was a greater source of methane to the atmosphere than associated gas bubbles.
“…The model can be used to predict assuming oil droplets only, oil-coated gas bubbles only, or both droplets and bubbles. For example, ADCP profiles of the water column above the Bush Hill seep, north-central Gulf of Mexico (Meurer et al, 2021), can be used to model the expected OSO locations for the time period represented by the data (Figure 9A, 9B). The spread of model OSOs uses the bounding ADCP profiles for each day and allows a 35% correlated, relative standard deviation for the Monte Carlo simulations.…”
Section: Evaluation Of Oso Offset From Seepmentioning
Physical processes involved in the ascent of naturally seeped oil from the seafloor and its persistence as a slick are considered. Simplified, physics-based models are developed, drawing in part from the extensive literature concerned with anthropogenic releases of oil at sea. The first model calculates the ascent of oil droplets or oil-coated gas bubbles as they ascend to the sea surface from the seep source. The second model calculates slick longevity as a function of the effect of wind-driven breaking waves. Both models have simplified inputs and algorithms making them suitable for Monte Carlo-type analysis. Using the oil ascent model, we find that slicks from shallower seeps are offset farther relative to their water depth than those from deeper sources. The slick longevity model reveals four growth modes for seepage slicks: persistent (low wind speeds), ephemeral (high wind speeds), reset (all slicks are cleared from an area by high wind speeds), and aging (slick growth after a reset). A year's worth of modeled winds from the Gulf of Mexico indicate average slick ages of ˜12 hours. Taking account of the expected oil release duration implied by slick recurrences yields average slick longevities for high recurrence seeps of ˜6.5 hours and ˜5 hours for low recurrence seeps. Seep flux estimates that include the length of individual slicks and the constraints of local currents and wind implicitly take into account the impact of wind-speed history. Those that assume a slick age should be re-evaluated in light of the current findings.
“…However, the Pro Oceanus Mini Pro CO2 sensor used at the time did not withstand the pressure changes imposed by glider missions. The Franatech METS CH4 sensor has been integrated into Alseamar SeaExplorer and Teledyne Slocum gliders and successfully used to generate concentration maps of a methane seep in a semi-quantitative way (Meurer et al, 2021).…”
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