|2010 GSA Denver Annual Meeting (31 October –3 November 2010)|
|Paper No. 205-7|
|Presentation Time: 3:15 PM-3:30 PM|
MODELLING OF 3D PHYSICAL PROPERTY INTRA-UNIT HETEROGENEITY OF THE UK EAST MIDLANDS FOR THE BGS PropBase PROJECT
KINGDON, Andrew, WILLIAMS, John D.O., and WILLIAMSON, J. Paul, British Geological Survey, Keyworth, Nottingham, NG12 5GG, United Kingdom, firstname.lastname@example.org|
3D geological models have replaced maps as BGS’s primary output. They show the intersection of geology and the surface plus subsurface geometry constrained by wells and geophysics. They give a simplified view of defined lithostratigraphic units attributed only with names and enveloped by surfaces. Properties are implicit through descriptions; internal variability is largely ignored.
PropBase populates 3D models by extracting physical properties from BGS databanks and mapping their variation through 3D volumes with no seismic framework. We present a populated grid of the Triassic Sherwood Sandstone Group (SSG) near Nottingham, the principal UK carbon storage reservoir candidate.
A 45 X 65 km test model, built in GOCAD® from surface linework and stratigraphy from 578 wells, was selected because of its relatively simple geology; Carboniferous, Permian and Triassic rocks outcrop progressively eastwards and dip ~1° east. Wireline logs are the sole pervasive property data- but, as they target the underlying Coal Measures, few sample the entire SSG. 58 logs were used to calculate porosity proxies from both sonic (Raymer-Hunt-Gardner method) and density data. A proportional 3D stratigraphic grid (Sgrid) was generated with 200 x 200 x 2 m cells. Log-derived porosities were upscaled as points into the Sgrid; all cells cut by a log were attributed with the mean porosity. Data outliers (spikes; high clay content) were omitted as artefacts before interpolation, preventing distorted results in areas of poor data control. Values from both density and sonic data were initialised across separate Sgrids using Discrete Smooth Interpolation, so each cell contained a porosity attribute.
Two main features emerged:
A zone of higher porosity between two faults in the model’s east is less clear, especially on the sonic grid, and poorly constrained, but may indicate fault-induced fractures.
Ever greater environmental and resource pressure on the geosphere requires ever more realistic subsurface simulation. Limited 2D and scarce 3D seismic data and a lack of suitable property data hinders upscaling across much of the UK. Though imperfect, the SSG grid makes best use of available data in Nottinghamshire.
2010 GSA Denver Annual Meeting (31 October –3 November 2010)
General Information for this Meeting
|Session No. 205|
Reaching New Peaks in Geoscience: Geoscience in the Service of a Sustainable Future
Colorado Convention Center: Room 107/109
1:30 PM-5:30 PM, Tuesday, 2 November 2010
Geological Society of America Abstracts with Programs, Vol. 42, No. 5, p. 489
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