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Spatiotemporal variability of fugitive gas migration emissions around a petroleum well
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  • Neil Fleming,
  • Tiago Morais,
  • Ulrich Mayer,
  • M. Cathryn Ryan
Neil Fleming
University of Calgary

Corresponding Author:[email protected]

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Tiago Morais
University of Calgary
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Ulrich Mayer
University of British Colombia
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M. Cathryn Ryan
University of Calgary
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Abstract

Well integrity failure resulting in migration of natural gas outside of the surface casing can cause atmospheric greenhouse gas emissions and groundwater quality impacts from existing and historic energy wells. Spatial and temporal variability in gas migration can result in errors in detection (i.e., presence/absence) and efflux estimations. This field-based case study used automated dynamic closed chambers to record repeated (~ every 18 minutes) CO2 and CH4 efflux measurements over a two-week period around a single petroleum production well in Alberta, Canada. Long-term efflux measurements supplemented soil gas compositional and isotopic characterization, along with surface concentration measurements. Effluxes were spatially concentrated around the wellhead and only occasionally detectable more than a few meters away. Estimated total emissions attributable to gas migration ranged from 48 - 466 g CH4 d-1 (or 0.07 - 0.7 m3 CH4 d-1). Methane effluxes and concentrations were temporally variable on second-to-hourly and diel scales. Multivariate stepwise regression analysis indicates that multiple meteorological factors, particularly wind speed and air temperature, were related to the temporal variability. Despite temporal variability, elevated concentrations and effluxes were consistently detectable around the well. Major soil gas composition suggests that gas migration near the wellhead causes advective displacement of soil gas, while more distal measurements are indicative of episodic and diffusion-dominated transport. Values of 13C-CO2 and 13C-CH4 samples were consistent with CH4¬ oxidation within the unsaturated zone. Although these results reflect a single well, the findings are salient to gas migration detection and emission estimation efforts.