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Smedley PL, Allen G, Baptie BJ, Fraser-Harris AP, Ward RS, Chambers RM, Gilfillan SMV, Hall JA, Hughes AG, Manning DAC, McDermott CI, Nagheli S, Shaw JT, Werner MJ, Worrall F. Equipping for risk: Lessons learnt from the UK shale-gas experience on assessing environmental risks for the future geoenergy use of the deep subsurface. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 921:171036. [PMID: 38373449 DOI: 10.1016/j.scitotenv.2024.171036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 02/14/2024] [Accepted: 02/15/2024] [Indexed: 02/21/2024]
Abstract
findings are presented from an investigation to improve understanding of the environmental risks associated with developing an unconventional-hydrocarbons industry in the UK. The EQUIPT4RISK project, funded by UK Research Councils, focused on investigations around Preston New Road (PNR), Fylde, Lancashire, and Kirby Misperton Site A (KMA), North Yorkshire, where operator licences to explore for shale gas by hydraulic fracturing (HF) were issued in 2016, although exploration only took place at PNR. EQUIPT4RISK considered atmospheric (greenhouse gases, air quality), water (groundwater quality) and solid-earth (seismicity) compartments to characterise and model local conditions and environmental responses to HF activities. Risk assessment was based on the source-pathway-receptor approach. Baseline monitoring of air around the two sites characterised the variability with meteorological conditions, and isotopic signatures were able to discriminate biogenic methane (cattle) from thermogenic (natural-gas) sources. Monitoring of a post-HF nitrogen-lift (well-cleaning) operation at PNR detected the release of atmospheric emissions of methane (4.2 ± 1.4 t CH4). Groundwater monitoring around KMA identified high baseline methane concentrations and detected ethane and propane at some locations. Dissolved methane was inferred from stable-isotopic evidence as overwhelmingly of biogenic origin. Groundwater-quality monitoring around PNR found no evidence of HF-induced impacts. Two approaches for modelling induced seismicity and associated seismic risk were developed using observations of seismicity and operational parameters from PNR in 2018 and 2019. Novel methodologies developed for monitoring include use of machine learning to identify fugitive atmospheric methane, Bayesian statistics to assess changes to groundwater quality, a seismicity forecasting model seeded by the HF-fluid injection rate and high-resolution monitoring of soil-gas methane. The project developed a risk-assessment framework, aligned with ISO 31000 risk-management principles, to assess the theoretical combined and cumulative environmental risks from operations over time. This demonstrated the spatial and temporal evolution of risk profiles: seismic and atmospheric impacts from the shale-gas operations are modelled to be localised and short-lived, while risk to groundwater quality is longer-term.
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Affiliation(s)
- P L Smedley
- British Geological Survey, Nicker Hill, Keyworth, Nottingham NG12 5GG, UK.
| | - G Allen
- Department of Earth & Environmental Science, Simon Building, University of Manchester, Manchester M13 9PL, UK
| | - B J Baptie
- British Geological Survey, Lyell Centre, Research Avenue South, Edinburgh EH14 4AP, UK
| | - A P Fraser-Harris
- School of Geosciences, King's Buildings, University of Edinburgh, James Hutton Road, Edinburgh EH9 3FE, UK
| | - R S Ward
- British Geological Survey, Nicker Hill, Keyworth, Nottingham NG12 5GG, UK
| | - R M Chambers
- School of Geosciences, King's Buildings, University of Edinburgh, James Hutton Road, Edinburgh EH9 3FE, UK
| | - S M V Gilfillan
- School of Geosciences, King's Buildings, University of Edinburgh, James Hutton Road, Edinburgh EH9 3FE, UK
| | - J A Hall
- School of Engineering, Drummond Building, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK
| | - A G Hughes
- British Geological Survey, Nicker Hill, Keyworth, Nottingham NG12 5GG, UK
| | - D A C Manning
- School of Natural and Environmental Sciences, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK
| | - C I McDermott
- School of Geosciences, King's Buildings, University of Edinburgh, James Hutton Road, Edinburgh EH9 3FE, UK
| | - S Nagheli
- British Geological Survey, Nicker Hill, Keyworth, Nottingham NG12 5GG, UK
| | - J T Shaw
- Department of Earth & Environmental Science, Simon Building, University of Manchester, Manchester M13 9PL, UK; Now at: National Physical Laboratory, Hampton Road, Teddington, Middlesex TW11 0LW, UK
| | - M J Werner
- School of Earth Sciences, University of Bristol, Wills Memorial Building, Queens Road, Clifton, Bristol BS8 1RJ, UK
| | - F Worrall
- Department of Earth Sciences, Durham University, Stockton Road, Durham DH1 3LE, UK
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Wilde SE, Hopkins JR, Lewis AC, Dunmore RE, Allen G, Pitt JR, Ward RS, Purvis RM. The air quality impacts of pre-operational hydraulic fracturing activities. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 858:159702. [PMID: 36309263 DOI: 10.1016/j.scitotenv.2022.159702] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 10/04/2022] [Accepted: 10/21/2022] [Indexed: 06/16/2023]
Abstract
Hydraulic fracturing (fracking) is a short phase in unconventional oil and natural gas (O&G) development. Before fracking there is a lengthy period of preparation, which can represent a significant proportion of the well lifecycle. Extensive infrastructure is delivered onto site, leading to increased volumes of heavy traffic, energy generation and construction work on site. Termed the "pre-operational" period, this is rarely investigated as air quality evaluations typically focus on the extraction phase. In this work we quantify the change in air pollution during pre-operational activities at a shale gas exploration site near Kirby Misperton, North Yorkshire, England. Baseline air quality measurements were made two years prior to any shale gas activity and were used as a training dataset for random forest (RF) machine learning models. The models allowed for a comparison between observed air quality during the pre-operational phase and a counterfactual business as usual (BAU) prediction. During the pre-operational phase a significant deviation from the BAU scenario was observed. This was characterised by significant enhancements in NOx and a concurrent reduction in O3, caused by extensive additional vehicle movements and the presence of combustion sources such as generators on the well pad. During the pre-operational period NOx increased by 274 % and O3 decreased by 29 % when compared to BAU model values. There was also an increase in primary emissions of NO2 during the pre-operational phase which may have implications for the attainment of ambient air quality standards in the local surroundings. Unconventional O&G development remains under discussion as a potential option for improving the security of supply of domestic energy, tensioned however against significant environmental impacts. Here we demonstrate that the preparative work needed to begin fracking elevates air pollution in its own right, a further potential disbenefit that should be considered.
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Affiliation(s)
- Shona E Wilde
- Wolfson Atmospheric Chemistry Laboratories, University of York, York YO10 5DD, UK.
| | - James R Hopkins
- National Centre for Atmospheric Science, University of York, York YO10 5DD, UK
| | - Alastair C Lewis
- National Centre for Atmospheric Science, University of York, York YO10 5DD, UK
| | - Rachel E Dunmore
- Wolfson Atmospheric Chemistry Laboratories, University of York, York YO10 5DD, UK
| | - Grant Allen
- Department of Earth and Environmental Sciences, University of Manchetser, Oxford Road, Manchester M13 9PL, UK
| | - Joseph R Pitt
- Department of Earth and Environmental Sciences, University of Manchetser, Oxford Road, Manchester M13 9PL, UK
| | - Robert S Ward
- British Geological Survey, Environmental Science Centre, Nicker Hill, Keyworth, Nottingham NG12 5GG, UK
| | - Ruth M Purvis
- National Centre for Atmospheric Science, University of York, York YO10 5DD, UK
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Shaw JT, Shah A, Yong H, Allen G. Methods for quantifying methane emissions using unmanned aerial vehicles: a review. PHILOSOPHICAL TRANSACTIONS. SERIES A, MATHEMATICAL, PHYSICAL, AND ENGINEERING SCIENCES 2021; 379:20200450. [PMID: 34565219 PMCID: PMC8473951 DOI: 10.1098/rsta.2020.0450] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 05/12/2021] [Indexed: 06/13/2023]
Abstract
Methane is an important greenhouse gas, emissions of which have vital consequences for global climate change. Understanding and quantifying the sources (and sinks) of atmospheric methane is integral for climate change mitigation and emission reduction strategies, such as those outlined in the 2015 UN Paris Agreement on Climate Change. There are ongoing international efforts to constrain the global methane budget, using a wide variety of measurement platforms across a range of spatial and temporal scales. The advancements in unmanned aerial vehicle (UAV) technology over the past decade have opened up a new avenue for methane emission quantification. UAVs can be uniquely equipped to monitor natural and anthropogenic emissions at local scales, displaying clear advantages in versatility and manoeuvrability relative to other platforms. Their use is not without challenge, however: further miniaturization of high-performance methane instrumentation is needed to fully use the benefits UAVs afford. Developments in the models used to simulate atmospheric transport and dispersion across small, local scales are also crucial to improved flux accuracy and precision. This paper aims to provide an overview of currently available UAV-based technologies and sampling methodologies which can be used to quantify methane emission fluxes at local scales. This article is part of a discussion meeting issue 'Rising methane: is warming feeding warming? (part 1)'.
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Affiliation(s)
- Jacob T. Shaw
- Centre for Atmospheric Science, Department of Earth and Environmental Science, University of Manchester, Manchester, UK
| | - Adil Shah
- Laboratoire des Sciences du Climat et de l'Environnement (LSCE), CEA CNRS, UVSQ UPSACLAY, Gif sur Yvette, France
| | - Han Yong
- Centre for Atmospheric Science, Department of Earth and Environmental Science, University of Manchester, Manchester, UK
| | - Grant Allen
- Centre for Atmospheric Science, Department of Earth and Environmental Science, University of Manchester, Manchester, UK
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Shaw JT, Allen G, Pitt J, Shah A, Wilde S, Stamford L, Fan Z, Ricketts H, Williams PI, Bateson P, Barker P, Purvis R, Lowry D, Fisher R, France J, Coleman M, Lewis AC, Risk DA, Ward RS. Methane flux from flowback operations at a shale gas site. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION (1995) 2020; 70:1324-1339. [PMID: 32915694 DOI: 10.1080/10962247.2020.1811800] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 07/10/2020] [Accepted: 08/07/2020] [Indexed: 06/11/2023]
Abstract
We report measurements of methane (CH4) mixing ratios and emission fluxes derived from sampling at a monitoring station at an exploratory shale gas extraction facility in Lancashire, England. Elevated ambient CH4 mixing ratios were recorded in January 2019 during a period of cold-venting associated with a nitrogen lift process at the facility. These processes are used to clear the well to stimulate flow of natural gas from the target shale. Estimates of CH4 flux during the emission event were made using three independent modeling approaches: Gaussian plume dispersion (following both a simple Gaussian plume inversion and the US EPA OTM 33-A method), and a Lagrangian stochastic transport model (WindTrax). The three methods yielded an estimated peak CH4 flux during January 2019 of approximately 70 g s-1. The total mass of CH4 emitted during the six-day venting period was calculated to be 2.9, 4.2 ± 1.4(1σ) and 7.1 ± 2.1(1σ) tonnes CH4 using the simple Gaussian plume model, WindTrax, and OTM-33A methods, respectively. Whilst the flux approaches all agreed within 1σ uncertainty, an estimate of 4.2 (± 1.4) tonnes CH4 represents the most confident assessment due to the explicit modeling of advection and meteorological stability permitted using the WindTrax model. This mass is consistent with fluxes calculated by the Environment Agency (in the range 2.7 to 6.8 tonnes CH4), using emission data provided by the shale site operator to the regulator. This study provides the first CH4 emission estimate for a nitrogen lift process and the first-reported flux monitoring of a UK shale gas site, and contributes to the evaluation of the environmental impacts of shale gas operations worldwide. This study also provides forward guidance on future monitoring applications and flux calculation in transient emission events. Implications: This manuscript discusses atmospheric measurements near to the UK's first hydraulic fracturing facility, which has very high UK public, media, and policy interest. The focus of this manuscript is on a single week of data in which a large venting event at the shale gas site saw emissions of ~4 tonnes of methane to atmosphere, in breach of environmental permits. These results are likely to beresults are likely to be reported by the media and may influence future policy decisions concerning the UK hydraulic fracturing industry.
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Affiliation(s)
- Jacob T Shaw
- Centre for Atmospheric Science, Department of Earth and Environmental Science, University of Manchester , Manchester, UK
| | - Grant Allen
- Centre for Atmospheric Science, Department of Earth and Environmental Science, University of Manchester , Manchester, UK
| | - Joseph Pitt
- Centre for Atmospheric Science, Department of Earth and Environmental Science, University of Manchester , Manchester, UK
| | - Adil Shah
- Centre for Atmospheric Science, Department of Earth and Environmental Science, University of Manchester , Manchester, UK
| | - Shona Wilde
- Wolfson Atmospheric Chemistry Laboratories, Department of Chemistry, University of York , Heslington, UK
| | - Laurence Stamford
- Department of Chemical Engineering and Analytical Science, University of Manchester , Manchester, UK
| | - Zhaoyang Fan
- Centre for Atmospheric Science, Department of Earth and Environmental Science, University of Manchester , Manchester, UK
| | - Hugo Ricketts
- Centre for Atmospheric Science, Department of Earth and Environmental Science, University of Manchester , Manchester, UK
- National Centre for Atmospheric Science, University of Manchester , Manchester, UK
| | - Paul I Williams
- Centre for Atmospheric Science, Department of Earth and Environmental Science, University of Manchester , Manchester, UK
- National Centre for Atmospheric Science, University of Manchester , Manchester, UK
| | - Prudence Bateson
- Centre for Atmospheric Science, Department of Earth and Environmental Science, University of Manchester , Manchester, UK
| | - Patrick Barker
- Centre for Atmospheric Science, Department of Earth and Environmental Science, University of Manchester , Manchester, UK
| | - Ruth Purvis
- National Centre for Atmospheric Science, University of York , Heslington, UK
| | - David Lowry
- School of Earth Sciences, Royal Holloway University of London , Egham, UK
| | - Rebecca Fisher
- School of Earth Sciences, Royal Holloway University of London , Egham, UK
| | - James France
- School of Earth Sciences, Royal Holloway University of London , Egham, UK
- British Antarctic Survey, Natural Environment Research Council , Cambridge, UK
| | - Max Coleman
- School of Earth Sciences, Royal Holloway University of London , Egham, UK
| | - Alastair C Lewis
- National Centre for Atmospheric Science, University of York , Heslington, UK
| | - David A Risk
- Department of Earth Sciences, St. Francis Xavier University , Antigonish, Nova Scotia, Canada
| | - Robert S Ward
- British Geological Survey, Environmental Science Centre , Nottingham, UK
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Lowry D, Fisher RE, France JL, Coleman M, Lanoisellé M, Zazzeri G, Nisbet EG, Shaw JT, Allen G, Pitt J, Ward RS. Environmental baseline monitoring for shale gas development in the UK: Identification and geochemical characterisation of local source emissions of methane to atmosphere. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 708:134600. [PMID: 31767337 DOI: 10.1016/j.scitotenv.2019.134600] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Revised: 09/19/2019] [Accepted: 09/20/2019] [Indexed: 06/10/2023]
Abstract
Baseline mobile surveys of methane sources using vehicle-mounted instruments have been performed in the Fylde and Ryedale regions of Northern England over the 2016-19 period around proposed unconventional (shale) gas extraction sites. The aim was to identify and characterise methane sources ahead of hydraulically fractured shale gas extraction in the area around drilling sites. This allows a potential additional source of emissions to atmosphere to be readily distinguished from adjacent sources, should gas production take place. The surveys have used ethane:methane (C2:C1) ratios to separate combustion, thermogenic gas and biogenic sources. Sample collection of source plumes followed by high precision δ13C analysis of methane, to separate and isotopically characterise sources, adds additional biogenic source distinction between active and closed landfills, and ruminant eructations from manure. The surveys show that both drill sites and adjacent fixed monitoring sites have cow barns and gas network pipeline leaks as sources of methane within a 1 km range. These two sources are readily separated by isotopes (δ13C of -67 to -58‰ for barns, compared to -43 to -39‰ for gas leaks), and ethane:methane ratios (<0.001 for barns, compared to >0.05 for gas leaks). Under a well-mixed daytime atmospheric boundary layer these sources are generally detectable as above baseline elevations up to 100 m downwind for gas leaks and up to 500 m downwind for populated cow barns. It is considered that careful analysis of these proxies for unconventional production gas, if and when available, will allow any fugitive emissions from operations to be distinguished from surrounding sources.
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Affiliation(s)
- David Lowry
- Department of Earth Sciences, Royal Holloway, University of London, Egham TW20 0EX, UK.
| | - Rebecca E Fisher
- Department of Earth Sciences, Royal Holloway, University of London, Egham TW20 0EX, UK
| | - James L France
- Department of Earth Sciences, Royal Holloway, University of London, Egham TW20 0EX, UK; British Antarctic Survey, High Cross, Madingley Rd, Cambridge CB3 0ET, UK
| | - Max Coleman
- Department of Earth Sciences, Royal Holloway, University of London, Egham TW20 0EX, UK
| | - Mathias Lanoisellé
- Department of Earth Sciences, Royal Holloway, University of London, Egham TW20 0EX, UK
| | - Giulia Zazzeri
- Department of Earth Sciences, Royal Holloway, University of London, Egham TW20 0EX, UK
| | - Euan G Nisbet
- Department of Earth Sciences, Royal Holloway, University of London, Egham TW20 0EX, UK
| | - Jacob T Shaw
- School of Earth and Environmental Science, University of Manchester, M13 9PL, UK
| | - Grant Allen
- School of Earth and Environmental Science, University of Manchester, M13 9PL, UK
| | - Joseph Pitt
- School of Earth and Environmental Science, University of Manchester, M13 9PL, UK
| | - Robert S Ward
- British Geological Survey, Environmental Science Centre, Keyworth, Nottingham NG12 5GG, UK
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