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Fracture attribute scaling and connectivity in the Devonian Orcadian Basin with implications for geologically equivalent sub-surface fractured reservoirs [dataset] Open Access

Fracture attribute scaling and connectivity datasets from analogue systems are widely used to inform sub-surface fractured reservoir models in a range of geological settings. However, significant uncertainties are associated with the determination of reliable scaling parameters in surface exposures, particularly for fault widths and fracture aperture. This has limited our ability to upscale key parameters that control fluid-flow at reservoir to basin scales. In this study, we present nine 1D‑transect (scanline) fault and fracture attribute datasets from Middle Devonian sandstones in Caithness (Scotland) that are widely used as an onshore analogue for nearby sub-surface reservoirs such as the Clair Field, West of Shetland. Our multiscale analysis confirms power-law behaviours for both length over 8 orders of magnitude (10-4 to 104) and fracture aperture and fault width (including fills) over 4 orders of magnitude (10-6 to 10-2). We also present a 2D fault and fracture topology analysis which allows assessment of the heterogeneity of connectivity and self‑similarity. This multiscale approach provides a new basis for upscaling micro- to meso-scale fracture attributes collected in outcrop analogues for use in static and dynamic reservoir models at reservoir to basin scales.

Descriptions

Resource type
Dataset
Contributors
Contact person: McCaffrey, Ken J.W. 1
Creator: Dichiarante, Anna M.
Holdsworth, Robert E.
Bjornarå, Tore I.
Dempsey, Edward D.
1 Durham University
Funder
Clair Joint Venture Group as part of Anna Dichiarante’s PhD project
Research methods
Structural analysis of remote-sensed images, Fieldwork to collect structural data fracture attributes and samples. Microscope examination of samples and measurement of fracture properties, statistical analysis of fractures attributes
Other description
Keyword
Devonian Orcadian basin
Fracture attributes
Multiscale
Clair Field
Faults
Subject
Location
Language
Cited in
Identifier
ark:/32150/r1cv43nw819
doi:10.15128/r1cv43nw819
Rights
Creative Commons Attribution 4.0 International (CC BY)

Publisher
Durham University
Date Created

File Details

Depositor
K.J.W. Mccaffrey
Date Uploaded
Date Modified
8 February 2020, 10:02:37
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Characterization
File format: vnd.ms-excel (Microsoft Excel 2007+, OpenDocument Text)
Mime type: application/vnd.ms-excel
File size: 44356
Last modified: 2020:02:06 08:43:21+00:00
Filename: Anna_Dichiarante_CaithnessRawData_2020.xlsx
Original checksum: 5996cdbfadaced59b3791cb731c340e8
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