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Accurate Estimation of Sediment Conductivities
in the Rathlin Basin Using Magnetotellurics
R. Delhaye ([email protected]), V. Rath, A. G. Jones, M. R. Muller, D. Reay, and the IRETHERM Team
Hot Sedimentary Aquifers - Concept
If we can find a reservoir with:
Good hydraulic properties:
Porosity (how much free space there is
within the rock).
Permeability (how well connected the
porosity is).
Good thermal properties:
Elevated temperatures within the
reservoir.
Then, depending on the reservoir properties, it
can be exploited for heat or energy,.
IRETHERM Workshop
1st April, 2016
Hot Sedimentary Aquifers – Ireland?
How applicable is the HSA
concept to Ireland?
• Several notable onshore
sedimentary basins,
especially in Northern
Ireland.
• Two of these have previous
geophysical studies.
• Larne Basin, S Sihelnik.
• Lough Neagh Basin,
• M Loewer.
• The Rathlin Basin less
studied…
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Permian/Triassic Basins as Reservoirs
Permian & Triassic sandstones known from
offshore hydrocarbon prospects as reservoirs.
Core measurements from five onshore
boreholes in the three PT basins show promise!
Porosities from 10 to 25%.
Permeabilities from 1 to 1000 mD.
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Permian/Triassic Basins as Reservoirs
Permian & Triassic sandstones known from
offshore hydrocarbon prospects as reservoirs.
Core measurements from five onshore
boreholes in the three PT basins show promise!
Porosities from 10 to 25%.
Permeabilities from 1 to 1000 mD.
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Permian/Triassic Basins as Warm Spots
Thermal understanding has been
re-assessed, with slightly less
exciting results...
Circles on map indicate deep
borehole locations and
measurements.
Lough Neagh, Larne not exciting.
But, Rathlin still hot! (relatively).
Temperature measurements
taken three times, in two
different deep wells
All three support geothermal
gradient of 37 – 42 oC/km!
Heat Flow Density
Estimate (mW/m2)
Estimated heat flow density map (Jones et al., 2014).
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Previous Work in Lough Neagh Basin
Top left is Bouguer gravity anomaly, showing decrease in mass towards SE.
Left is density model, with constraining borehole information. PT sandstones shown in
oranges and yellows.
Right is resistivity model from 2D magnetotelluric inversion, with density boundaries
overlain. Conductive zone of < 5 Ωm matches gravity modelled PT sandstones. Same lithologies expected in contemporaneous Rathlin Basin?
Work taken from M. Loewer MSc thesis, 2010.
Ωm
1
10
100
Depth
(km)
0
2
4
S
E
N
W
S
E
N
W
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MT Survey of the Rathlin Basin
MT/AMT station.
Deep borehole.
Antrim Lava Group.
Paleogenic basalt, tholeiitic
basalt.
Dalradian Metasediment.
Pre-Cambrian to Cambrian.
Carboniferous sediments.
56 sites in seven magnetotelluric profiles planned, aligned across the
basin.
Equal site and profile spacing in order to facilitate three dimensional
modelling.
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Rathlin Basin – the Port More Borehole
The Port More Borehole:
Drilled in 1965 – 1967.
TD of 1896.7m, in Permian
Sandstones.
Limited wireline logging.
Thick, unexpected dolerite sill,
unknown lateral extent across basin.
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The Static Shift Problem
A decent portion of the MT data show a vertical offset, or static shift, between the two data
modes
At depth, the two modes diverging indicates larger scale resistivity contrasts, but the near-
surface is often near-one dimensional.
What's going on? We appear to have massive electrical anisotropy near the surface!
Typically caused by sub-grid resistivity variations below our resolution.
IRETHERM Workshop
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Airborne FDEM – A Solution?
The resistivity of the Earth itself should be invariant of geophysical measure (to first order).
So, model the Tellus airborne FDEM data to obtain near-surface resistivity distribution.
Calculate corrected MT forward responses from these resistivities, and shift observed MT data.
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How are Data Affected?
MT data (ρxy
) at 10 kHz, corresponding to uppermost
~100 m.
Improved regional consistency of data, less blobby
nature.
Note that scaling factor presented in order of
magnitudes – scale from -0.4 to 0.4 indicates range of
~x/3 to ~3x.
Improved Data
logRatio
Original Data
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How is Model Affected?
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Mc
In Profile
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• Static shift correction clearly enhances resistivity contrasts at
the upper boundary of the target conductive sediments.
Preferred Model
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10 Ωm isosurface of Mc, extending to ~1800 m depth. Resistivity distribution
of Mc with depth.
Implications for Geothermal Modelling
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The classic tool for estimating sandstone porosities as functions of
resistivity is Archie’s Law, relating total resistivity Rt to the porosity φ
(depending on the cementation, tortuosity and saturation, and the fluid
resistivity itself).
Take-home message
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If we want to have confidence in our estimates of
resistivity at depth, we must also be confident in our
estimates of shallow resistivity!
Acknowledgements
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The Tellus Project, for AEM data
www.tellus.ie
AMIRA International Ltd, for AEM codes
www.amirainternational.com
Irish Centre for High End Computing, for computations
www.ichec.ie
Gary Egbert, Naser Meqbel, Jan Vozar, for provision and
implementation of the ModEM code
blogs.oregonstate.edu/modem3dmt/
Questions?
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References
IRETHERM Workshop
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Berdichevsky, M. N., et al.,(1980), Geoelectrical model of the Baikal region, Phys. Earth Plan. Int.
Dentith, M., and Mudge, S. (2014). Geophysics for the Mineral Exploration Geoscientist. Cambridge University Press.
Goodman, R., et al., (2004). Geothermal Energy Resource Map of Ireland. SEI report, July 2004.
Jones, A.G., et al., (2014). The lithosphere-asthenosphere system beneath Ireland from integrated geophysical-
petrological modeling – 1: Observations, 1D and 2D, Lithos.
Kelbert, A., Meqbel, N., Egbert, G. D., and Tandon, K., (2014), ModEM: A modular system for inversion of
electromagnetic geophysical data, Computers and Geosciences.
Loewer, M., (2010). "Investigation of the geothermal energy potential of the Lough Neagh Basin, Northern Ireland, using
magnetotelluric and gravity modelling." MSc thesis.
Mitchell, W. I. (ed.), (2004). The Geology of Northern Ireland - Our Natural Foundation (Second Edition). Geological
Survey of Northern Ireland, Belfast.
Raiche, A., (1999). A flow-through Hankel transform technique for rapid, accurate Green's function computation. Radio
Science.