soes6002: modelling in environmental and earth system science
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SOES6002: Modelling in Environmental and Earth System Science. CSEM Lecture 3 Martin Sinha School of Ocean & Earth Science University of Southampton. Recap and plan:. Yesterday: basic principles of CSEM sounding. Modelling for uniform seafloor resistivity - PowerPoint PPT PresentationTRANSCRIPT
SOES6002: Modelling in Environmental and Earth
System ScienceCSEM Lecture 3
Martin SinhaSchool of Ocean & Earth Science
University of Southampton
Recap and plan:
Yesterday: basic principles of CSEM sounding. Modelling for uniform seafloor resistivity
Today: sensitivity patterns, boundary conditions vertical variations in resistivity, CSEM sounding
Recap from yesterday
Dimensionless Amplitudes
0.001
0.01
0.1
10 2 4 6 8 10 12
Range (km)
10 ohm-m50 ohm-m200 ohm-m
Boundary conditions
Apart from the general form of the governing equations, we haven’t gone deeply into the mathematics
But two useful boundary conditions are useful:
Eparallel is continuous Jnormal is continuous
Transport of energy
As we see, different resistivities for a uniform seafloor lead to different patterns of amplitude vs range
What happens if seafloor resistivity varies?
First step – what is the path taken by the flow of energy?
Poynting Vectors
0.75 Hz, 100 ohm-m, azimuthal
Sensitivity
Poynting vectors show local direction of transport of energy
Another way of investigating this is to look at sensitivity
For a given transmitter position and receiver position, if we make a small change to the resistivity of a small element of the sea floor, how much does this affect the measured amplitude?
Sensitivity pattern
Sensitivity pattern
Sensitivity follows a broadly U-shaped region between source and receiver
At longer source receiver offsets, sensitivity extends deeper beneath the seafloor – so ‘averages’ over a greater depth range
Hence we can perform a ‘sounding’ study by increasing the offset
4 models
50 ohm-m half space 200 ohm-m half space 1 km thick layer, 50 ohm-m overlying
200 ohm-m half space 1 km thick layer, 200 ohm-m
overlying 50 ohm-m half space
1 layer and 2 layer models
Layered sructures
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0 2 4 6 8 10 12
range (km)
Sazi
m
50 half space200 half space200-50 layered50-200 layered
Behaviour:
At long offsets, the slope of the curve corresponds to the effect of the deeper layer
Amplitudes are shifted up and down by the effect of the shallower layer
At short offsets, would see only the shallow layer effect
SOES6002: Modelling in Environmental and Earth
System ScienceCSEM Lecture 4
Martin SinhaSchool of Ocean & Earth Science
University of Southampton
Lecture 4
The importance of frequency Can we detect isolated, thin,
conductive layers? The air wave problem
What about frequency?
Our choice of frequency depends on skin depth
We need to choose f so that skin depth is comparable to our scale of investigation
But higher f means shorter skin depths, so high frequencies intrinsically see less deep than low frequencies
The skin depth
Where s is the electromagnetic skin depth, and is equal to the distance over which the amplitude is attenuated by a factor 1/e; and the phase is altered by a delay of radian :
s
2
0
Skin depth (m) in various materials
3 models at 8 Hzresponses at 8 Hz
0.001
0.01
0.1
10 2 4 6 8 10 12
range (km)
S az
im 50 half space200 half space50 over 200
Frequency issues
Higher frequencies have better resolution
But they also have poorer penetration depth
So we always face a trade-off between these two
In real surveys, it’s often useful to collect data at multiple frequencies
Thin layers
Can we detect, e.g., the presence of a thin conductive layer (for example a melt lens) within the sea bed?
There’s clearly going to be a resolution problem – diffusive signal propagation is not necessarily a good way of finding thin layers
2 models, 2 frequencies
Thin Layers
0.0001
0.001
0.01
0.1
10 2 4 6 8 10 12
Half-space 1 Hz
Half-space 8 Hz
Thin layer 1 Hz
Thin layer 8 Hz
Thin layer model
Model consists of a 50 ohm m half-space, with a 100 m thick conductive layer (2 ohm-m) embedded in it at a depth of 1 km
It does have an evident effect on the data, but the effect depends on frequency
Effect of shallow water
Varying water depth
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0 2 4 6 8 10 12
range (km)
S az
im
5km
3km
1km
0.5km
0.35km
The ‘Air wave’ interaction
In deep water, very little of the signal reaches the sea surface – so the surface has little effect on signal propagation
In shallow water, the surface does have an effect
The ‘Air Wave’ – propagation up, along and down again – can be a problem