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Dynamic analysis of geomaterials using microwave sensing.
Blanche, Jamie; Mitchell, Daniel; Shang, Junlong; Flynn, David; Pavuluri, Sumanth; Desmulliez, Marc.
Afiliação
  • Blanche J; James Watt School of Engineering, University of Glasgow, Glasgow, UK. jamie.blanche@glasgow.ac.uk.
  • Mitchell D; James Watt School of Engineering, University of Glasgow, Glasgow, UK.
  • Shang J; Department of Mechanical, Aerospace & Civil Engineering, University of Manchester, Manchester, UK.
  • Flynn D; James Watt School of Engineering, University of Glasgow, Glasgow, UK.
  • Pavuluri S; Smart Systems Group, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, UK.
  • Desmulliez M; Smart Systems Group, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, UK.
Sci Rep ; 14(1): 7112, 2024 Mar 26.
Article em En | MEDLINE | ID: mdl-38532052
ABSTRACT
Precise characterization of geomaterials improves subsurface energy extraction and storage. Understanding geomaterial property, and the complexities between petrophysics and geomechanics, plays a key role in maintaining energy security and the transition to a net zero global carbon economy. Multiple sectors demand accurate and rapid characterization of geomaterial conditions, requiring the extraction of core plugs in the field for full-field characterization and analysis in the laboratory. We present a novel technique for the non-invasive characterization of geomaterials by using Frequency Modulated Continuous Wave (FMCW) radar in the K-band, representing a new application of microwave radar. We collect data through the delivery of FMCW wave interactions with geomaterials under static and dynamic conditions and show that FMCW can detect fluid presence, differentiate fluid type, indicate the presence of metallic inclusions and detect imminent failure in loaded sandstones by up to 15 s, allowing for greater control in loading up to a failure event. Such precursors have the potential to significantly enhance our understanding of, and ability to model, geomaterial dynamics. This low-cost sensing method is easily deployable, provides quicker and more accessible data than many state-of-the-art systems, and new insights into geomaterial behavior under dynamic conditions.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Rep / Sci. rep. (Nat. Publ. Group) / Scientific reports (Nature Publishing Group) Ano de publicação: 2024 Tipo de documento: Article País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Rep / Sci. rep. (Nat. Publ. Group) / Scientific reports (Nature Publishing Group) Ano de publicação: 2024 Tipo de documento: Article País de publicação: Reino Unido