Ryan Payton

Ryan Payton

Profile
Profile Display Name:

Ryan Payton

E-mail Address:

ryan.payton.2015@live.rhul.ac.uk

Start Year

2018 (Cohort 5)

Research interests:

Porous flow, numerical modelling, HPC, cloud technology, environmental contamination, CCS, GCS

Hobbies and interests:

PhD Project
PhD Title

Pore Scale Characterisation and Assessment of Potential Subsurface Carbon Storage Reservoirs: A Digital Approach

Research Theme

Environmental Pollution

Primary Supervisor
Primary Institution

RHUL

Secondary Supervisor
Secondary Institution

RHUL

CASE Partner

British Geological Survey (BGS)

CASE Supervisor

Andrew Kingdon

Abstract

Carbon capture and storage (CCS) is an important technology which must be implemented at scale globally in order to support the effort towards tackling climate change. The storage component of CCS is achieved through injecting CO2 into subsurface geological reservoir units such as sandstone intervals which possess suitable characteristics to securely contain carbon for geologically significant periods of time. Whilst such potential storage reservoirs are ubiquitous globally, a strategy to determine which geological intervals would be most worthwhile dedicating substantial time and resources to is required. This thesis employs a fully digital approach based upon μCT imaging, digital image analysis (DIA) and digital rock physics (DRP) techniques to make this initial assessment at the microscale to help inform subsequent decisions on further investigation. This strategy is applied to a variety of potential sandstone reservoirs in and around the UK. Application of the proposed digital methodology allows for investigation of the relationship between porosity and permeability, the upper percolation threshold and a range of other pore body and throat characteristics. Furthermore, an effective approach was established to identify individual grains in 3D in well-compacted sandstones and characterise the grains individually. Finally, a numerical modelling approach was developed based on μCT images to simulate the process of reactive flow involved in geological carbon storage. Consequently, a set of criteria have been defined around porosity, grain sphericity and pore structure tortuosity against which potential carbon storage reservoirs can be initially evaluated. This demonstrates a rapid, relatively inexpensive and easily repeatable digital workflow capable of offering an initial assessment of potential reservoir intervals at the microscale prior to further investigation.

Policy Impact
Background Reading
  • UK Geoenergy Observatories Cheshire Energy Research Field Site : Science Infrastructure.
  • Collaborators

    Alison Derbenwick Miller (Oracle) website: https://www.oracle.com/uk/index.html

    Publications
    Datasets

    UKGEOS PNM Supporting Data Digital image processing results. Contributors: Ryan L. Payton, Mark Fellgett, Brett L. Clark, Domenico Chiarella, Andrew Kingdon, Saswata Hier-MajumderPore Scale GCS Numerical Modelling Output, Analyses and Source Code Source code and output. Contributors: Ryan Payton, Domenico Chiarella, Yizhuo Sun, Andrew KingdonGrain Analysis Output and Code Source code and image analytics. Contributors: Ryan Payton, Domenico Chiarella, Andrew KingdonPorcupine Basin uCT Images Images. Contributors: Ryan Payton, Domenico Chiarella, Andrew KingdonEnglish Channel uCT Images Images. Contributors: Ryan Payton, Domenico Chiarella, Andrew KingdonEnglish Channel PNM Output and Analyses Source code and analytics. Contributors: Ryan Payton, Domenico Chiarella, Andrew KingdonMicro CT Images of Borehole GGC01 Images. Contributors: Ryan Payton, Brett Clark, Mark FellgettMicro CT Images of Sellafield Borehole 13B Images. Contributors: Ryan Payton, Brett Clark, Mark Fellgett

    Activities
    Conferences and Workshops
    • BUFI Science Festival 2019 (June 2019). Poster: Numerical Modelling of Porous Reactive Flow for Geological Carbon Storage.
    • American Geophysical Union 2019 (December 2019). Poster: Pore Scale Modelling of Carbon Capture and Sequestration.: https://doi.org/10.1002/essoar.10502007.1.
    • European Geophysical Union (April 2020). Poster: Pore Scale Analysis of Suitability for Geological Carbon Storage, Implications for the UK Geoenergy Observatories Project.: https://doi.org/10.5194/egusphere-egu2020-18982.
    • European Geophysical Union (April 2020). Poster: Dynamic and Interactive Scientific Posters: Visualising 3D Models and Simulation Data Using AR.: https://doi.org/10.5194/egusphere-egu2020-19037.
    • PETEX 2021 (November 2021). Talk: Digital Pore Scale Assessment of Potential Subsurface Carbon Storage Reservoirs.
    • Internation Association of Sedimentology (June 2021). Talk: Digital pore scale assessment of potential subsurface carbon storage reservoirs.
    • Italian Geological Society. Talk: Using digital pore-scale image analysis to assess subsurface carbon storage reservoir potentiality.
    • British Sedimentology Research Group AGM (December 2021). Talk: The Impact of Grain Size and Shape on Porosity and Permeability: A Digital Image Analysis Approach.
    • London Geological Society Conference on pplicability of Hydrocarbon Subsurface Workflows to CCS (April 2022). Talk: Pore scale assessment of potential subsurface carbon storage reservoirs using digital image analysis.
    • London Geological Society Conference on pplicability of Hydrocarbon Subsurface Workflows to CCS (April 2022). Poster: Pore scale numerical modelling of CO2 mineral trapping using true pore geometries.
    Training courses
    • UCL OpenFOAM Workshop 2019, hosted by UCL. June 2019
    Engagement
    • European Researchers Night 2019

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