Diffraction imaging of sedimentary basins: An example from the Porcupine Basin 

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Title: Diffraction imaging of sedimentary basins: An example from the Porcupine Basin 
Authors: Lowney, B.Whiting, LewisLokmer, IvanO'Brien, G. S.Bean, Christopher J.
Permanent link: http://hdl.handle.net/10197/12474
Date: 30-Apr-2021
Online since: 2021-09-14T11:36:05Z
Abstract: iffraction imaging is the technique of separating diffraction energy from the source wavefield and processing it independently. As diffractions are formed from objects and discontinuities, or diffractors, which are small in comparison to the wavelength, if the diffraction energy is imaged, so too are the diffractors. These diffractors take many forms such as faults, fractures, and pinch-out points, and are therefore geologically significant. Diffraction imaging has been applied here to the Porcupine Basin; a hyperextended basin located 200km to the southwest of Ireland with a rich geological history. The basin has seen interest both academically and industrially as a study on hyperextension and a potential source of hydrocarbons. The data is characterised by two distinct, basin-wide, fractured carbonates nestled between faulted sandstones and mudstones. Additionally, there are both mass-transport deposits and fans present throughout the data, which pose a further challenge for diffraction imaging. Here, we propose the usage of diffraction imaging to better image structures both within the carbonate, such as fractures, and below.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: Copernicus
Copyright (published version): 2021 the Authors
Keywords: Diffraction imagingMachine learningFracture networks
DOI: 10.5194/egusphere-egu21-21
Language: en
Status of Item: Peer reviewed
Conference Details: The EGU General Assembly 2021 (EGU21), Virtual Conference, 19-30 April 2021
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by/3.0/ie/
Appears in Collections:Earth Sciences Research Collection
ICRAG Research Collection

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