mini res
DESCRIPTION
Mini Res. by Rob Turner, Bridget Bliss, Scott Briscoe. Outline. Methods Locations Characteristic curves Cumulative resistivity inversion Typical fault signature Results. Methods. 2 Primary methods Schlumberger Wenner - PowerPoint PPT PresentationTRANSCRIPT
Mini Res
byRob Turner, Bridget Bliss, Scott Briscoe
Outline
• Methods
• Locations
• Characteristic curves
• Cumulative resistivity inversion
• Typical fault signature
• Results
Methods
• 2 Primary methods• Schlumberger• Wenner • Differences- Schlumberger you only have to
move the voltmeter electrodes as opposed to moving all 4. The Wenner method is the most time consuming but yields the best data. In this method you move all 4 posts.
• We used the Wenner method.
Fernley Locations
Hazen Location
Wenner Method
Characteristic curves
• We created characteristic curves for the Hazen area and the Fernley area.
• The curves can be matched to the Schlumberger two-layer type curves to determine the relative resistivity of the lower layers compared to the upper layers.
Fernley Characteristic Curves
Hazen Characteristic Curves
Schlumberger Two-layer Type Curves
Fernley Inversion
Hazen Inversion
Typical fault signatureGouge Zone
Strike slip fault
Fernley EM Profile 1 Data vs. Elevation
4100
4200
4300
4400
4500
4600
4700
4800
4900
4,380,800 4,381,300 4,381,800 4,382,300 4,382,800 4,383,300
Northing
Fee
t
0
50
100
150
200
250
300
Ap
par
ent
Res
isti
vity
(o
hm
-m)
Elevation
EM
Fernley EM Profile 2 Data vs. Elevation
4100
4200
4300
4400
4500
4600
4700
4800
4380500 4381000 4381500 4382000 4382500 4383000
Northing
Ele
vati
on
0
50
100
150
200
250
Ap
par
ent
Res
isti
vity
(o
hm
-m)
Elevation
EM
Hazen Flats EM vs. Elevation
4040
4060
4080
4100
4120
4140
4160
4180
4200
4220
4240
4260
4375500 4376000 4376500 4377000 4377500 4378000 4378500 4379000 4379500
Northing
feet
0
50
100
150
200
250
300
350
400
450
Ap
par
ent
Res
isti
vity
(o
hm
-m)
Elevation
EM
Results
• Apparent resistivities obtained in this study are indicative of clays (1-100 ohm-m) or sands (1-1000 ohm-m)
• The Fernley data are more indicative of sands
• The Hazen data are more indicative of clays
• Anomalies may indicate groundwater, sedimentary structures or disturbed zones
Conclusions
• The data do not conclusively prove or disprove the presence of a fault
• Data integration is the key to accurately analyzing this data