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Land CSEM impulse responses in simple layered models

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Delft University of Technology

Land CSEM impulse responses in simple layered models

Slob, E.; Ziolkowski, A.

DOI

10.3997/2214-4609.201802585

Publication date

2018

Document Version

Final published version

Published in

24th European Meeting of Environmental and Engineering Geophysics

Citation (APA)

Slob, E., & Ziolkowski, A. (2018). Land CSEM impulse responses in simple layered models. In M. J. Senos

Matias, & F. Santos (Eds.), 24th European Meeting of Environmental and Engineering Geophysics EAGE.

https://doi.org/10.3997/2214-4609.201802585

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(3)

Near Surface Geoscience Conference & Exhibition 2018

9-12 September 2018, Porto, Portugal

Tu 24B 07

Land CSEM Impulse Responses in Simple Layered Models

E. Slob

1

*, A. Ziolkowski

2

1

Delft University of Technology,

2

University of Edinburgh

Summary

We argue that in a half space model with a single layer, the electric field impulse response at different offsets can

be understood physically. Diffusive fields travel along paths like wavefields but are not localised in time. Each

event that is measured comes from a path with the least attenuation, which corresponds to early arrival. The most

prominent TE mode contribution to the detection of a subsurface layer comes from the coupling of the airwave

with the subsurface. The most prominent contribution from the TM mode comes from the path through the

resistive layer with almost vertical diffusion paths between the surface and the target. The arrival time of the peak

of the event from a conductive layer can be understood from this reasoning. The arrival time of the peak of the

event from a resistive layer can be understood from this reasoning when the offset is not too large compared with

burial depth of the target layer. These predictions lead to estimates of depth to target layer with an error of less

than 5% and the resistivity of the resistive layer of less than 50%. The information contained in the impulse

responses suggests that inversion would yield good results.

(4)

Introduction

Controlled Source Electromagnetic (CSEM) as well as magneto-telluric (MT) measurements have a

long history in several commercial applications with mixed results (den Boer et al., 2000; Sheard et al.,

2005; Ziolkowski et al., 2007). With the advent of the CSEM method for hydrocarbon exploration in the

marine environment, high power sources and high-quality sensors and receivers have become available.

The source strength has increased by a factor of ten and the noise floor of the receivers has been reduced

by the same factor compared with the situation of seven years ago (Hanssen et al., 2017). Developments

of land CSEM equipment lag behind but are continuing as well. In combination with the increased

computing power, the controlled source electromagnetic method is now capable of delivering detailed

resistivity structures in joint inversion with seismic data (Panzner et al., 2016).

For CSEM, source and receiver control are essential for obtaining true amplitude measurements of

elec-tric fields that can be converted to the Earth’s impulse responses. This is important because such

mea-surements can be understood physically from diffusion paths through the subsurface of which the ones

that have the lowest attenuation can be measured. We use physical arguments to predict the behaviour

of the TE mode and TM mode parts of the electric field impulse responses in models with a target layer

in a half space. The target layer can be resistive, e.g., in the case of CO

2

storage, or conductive, e.g.

in the case of a hot brine filled aquifer for geothermal use. We show numerical electric field impulse

responses for parallel broadside receivers, which have an offset perpendicular to the field and source

di-rection, and for inline receivers, which have an offset in the line along the vector direction of the source

and the receiver. We evaluate to which extent the physical explanation of the numerical results based on

geometrical considerations explain the features in the data for the two modes that together make up the

electric field at the surface.

The transient controlled-source electromagnetic method on land

2000 m

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40 m

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10 ⌦m

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DV

Dx

source (Am)

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~

DV

DV

DV

broadside receivers (V)

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inline receivers (V)

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0.5 ⌦m, 200 ⌦m

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Figure 1 CSEM configuration with the source, parallel broadside and inline receivers on the surface.

Figure 1 shows two typical land acquisition line-configurations where vector components of the electric

current source and of the electric field receivers are in the same direction. These are where the offset is

perpendicular to or along the vector direction of source and receivers and they are called the broadside

and inline configurations, respectively. Figure 1 indicates a simple model with a half space and a layer

at 2 km below that surface that is either more resistive or more conductive than the half space. A more

resistive layer could be a hydrocarbon bearing layer or a layer used for CO

2

storage, whereas a more

conductive layer could be a hot brine filled aquifer of possible interest for heating or the generation of

geothermal energy.

Modelling codes to generate data for such configurations are available (Hunziker et al., 2015;

Werth-müller, 2017). Those works give a deconstruction of the electromagnetic field in terms of TE and TM

modes. Physically, it means that the TE mode field is associated with eddy currents that lie entirely in

the horizontal plane, while the TM mode is associated with eddy currents that lie in any plane that

con-Near Surface Geoscience Conference & Exhibition 2018

9–12 September 2018, Porto, Portugal

(5)

tains the vertical axis. From the theoretical study of Slob et al. (2010) we know that under the diffusive

approximation the airwave is entirely TE mode. Any field that is connected to the vertical component

of the electric field and diffuses along a horizontal direction is entirely TM mode. With these two

no-tions we can understand the impulse responses of inline and broadside electric field data from the model

depicted in Figure 1. Because it is useful to evaluate separately the contributions from the TE and TM

mode parts in the total electric field we have computed the separately. The mode separation comes

with an apparent singularity. In each mode it is the sae but with opposite sign. When the total field

is computed the result is zero, but when each mode is computed separately, it must be removed to see

the true contribution from each mode. This is done by subtracting the result at zero radial wavenumber

from each mode. Because diffusive fields can be understood as a sum of scaled wavefields through the

correspondence principle (de Hoop, 1996; Mittet, 2015) we give three descriptions for important paths

through the model of Figure 1 that will lead to significant contributions in the data.

In a half space, the field through the air and the ground along the surface are the only signals measured at

the surface. The field through the air is the airwave and travels at speed of light and its amplitude drops

by offset to the power three. The field through the ground is the direct field whose peak amplitude arrives

at t

peak

= µ

0

r

2

/(10ρ), where ρ is the half space resistivity, µ

0

is the free space magnetic permeability

and r is offset. Its peak amplitude drops by offset to the power five (Ziolkowski et al., 2007). The inline

direct field is entirely TM mode and the broadside field is entirely TE mode.

The airwave couples the TE mode to subsurface diffusion, which a travel path exists where the TE mode

part of the field diffuses down from the source to the layer after which it reflects and diffuses up to

the surface where it is converted into an airwave that travels horizontally along the surface at the speed

of light. The reciprocal path also exists. The airwave arrives at all receivers without delay relative to

sampling time. If this is a reasonably good approximation we expect that the amplitude of this part of

the field only depends on offset and that the arrival time of the signal peak depends only on the two-way

vertical diffusion time and shows no delay as a function of offset.

The TM mode does not have a significant airwave but the TM mode part of the field that diffuses down

almost vertically in the plane spanned by the source vector direction and the vertical axis generates a

strong vertical component electric field inside a resistive layer that diffuses through the resistive layer

with high speed and correspondingly low attenuation, it diffuses up almost vertically and is recorded at

the surface. The inline measurement configuration provides such a path, whereas the broadside

config-uration does not. When the direct wave travels more than two times the depth to resistive layer the TM

mode path through the resistive layer can become stronger than the direct field in the inline

measure-ments. At which offset this happens depends on the resistivity contrast between half space and resistive

layer. For the broadside measurement we cannot make a simple prediction.

Numerical examples

First we look at the results of the half space with the conductive layer at 5 km and 10 km offsets. The

electric field impulse responses for the conductive layer are shown in Figure 2. The top row shows

results at 5 km offset and the bottom row at 10 km offset; the left column shows inline field and the right

column shows broadside fields. The half space response is shown in black solid lies and the layered half

space response in green solid lines. The contributions from the TE and TM modes are shown in blue

and red dashed lines, respectively. The first observation is that the TE mode has opposite sign in inline

configuration to the broadside configuration and that the TM mode is virtually absent in broadside.the

moment of the peak amplitude in the TE mode is at 220 ms in all four plots whereas we would predict

the peak to occur at 200 ms. This would lead to an estimated depth to conductive layer of 2090 m, which

is an error of less than 5%. It is clear that the conductive layer is better visible in the broadside data than

in the inline data. Inline the conductive layer becomes strongly visible at very large offsets when the TM

mode diffusion times are long as can be seen in the bottom left plot.

The electric field impulse responses for the resistive layer are shown in Figure 3 with the same line and

colour scheme as used in Figure 2. Now we see that the inline response is almost entirely determined

Near Surface Geoscience Conference & Exhibition 2018

9–12 September 2018, Porto, Portugal

(6)

0

0.5

1

1.5

2

time (s)

-5

0

5

10

15

E

xx

(x,0,0,t) (pV/m)

inline; offset= 5 km; conductive layer

half space

total field

TM mode

TE mode

0

0.5

1

1.5

2

time (s)

0

5

10

15

20

25

E

xx

(0,y,0,t) (pV/m)

broadside; offset= 5 km; conductive layer

half space

total field

TM mode

TE mode

0

0.5

1

1.5

2

time (s)

-0.6

-0.4

-0.2

0

0.2

0.4

E

xx

(x,0,0,t) (pV/m)

inline; offset= 10 km; conductive layer

half space

total field

TM mode

TE mode

0

0.5

1

1.5

2

time (s)

0

0.5

1

1.5

E

xx

(0,y,0,t) (pV/m)

broadside; offset= 10 km; conductive layer

half space

total field

TM mode

TE mode

Figure 2 Inline (left) and broadside (right) electric field impulse responses at 5 km (top) and 10 km

(bottom) offsets as a function of time for a buried conductive layer; the half space response is in black

and the response with the layer is green, with TE mode in blue and TM mode in red.

by the TM mode whereas the broadside response is mostly determined by the TE mode. The presence

of the resistive layer in the TM mode results primarily in increased amplitude but also in reduced arrival

time of the peak amplitude at 10 km offset in the inline data. At 5 km offset the diffusion time along the

vertical path down from the source, then horizontal through resistive layer and vertically up to receivers

has an expected time of peak at t

= 217 ms and we find it at t = 224 ms when we look at the peak time

of the difference signal between half space and total field in the inline field This leads to an estimated

layer resistivity of 137 Ωm. At 10 km offset this is no longer the case, which suggests that there can be

constructive interference inside the resistive layer of internal multiples that contribute to longer diffusion

times. This would be helpful to resolve the thickness of the resistive layer in inversion. The information

about the presence of the resistive layer is in broadside also the TM mode, because we can see in the

bottom left graph that the TE mode response almost fully overlaps the half space response. At early

times the TE mode at 10 km offset both in line and broadside gives a good indication of depth with an

early peak at t=195 ms leading to an estimated depth of 1970 m. Because it is visible in the total field,

this is a helpful piece of information.

Conclusions

The results show that the presence of a resistive layer is detected best with the inline configuration and

the information comes primarily from the TM mode part of the field, while the presence of a conductive

layer is detected best with the broadside configuration and the information comes primarily form the

TE mode part of the field. Simple geometrical considerations for diffusive propagation paths that lead

to the electrically shortest paths from source to receiver allow for estimating medium properties with

reasonable errors. We also found it likely that inside the resistive layer more complicated geometrical

paths should exist that contribute to the measured response in the inline TM mode contribution. These

can be helpful in inversion to estimate the layer thickness.

Near Surface Geoscience Conference & Exhibition 2018

9–12 September 2018, Porto, Portugal

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0

0.5

1

1.5

2

time (s)

0

5

10

15

20

E

xx

(x,0,0,t) (pV/m)

inline; offset= 5 km; resistive layer

half space

total field

TM mode

TE mode

0

0.5

1

1.5

2

time (s)

0

5

10

15

E

xx

(0,y,0,t) (pV/m)

broadside; offset= 5 km; resistive layer

half space

total field

TM mode

TE mode

0

0.5

1

1.5

2

time (s)

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

E

xx

(x,0,0,t) (pV/m)

inline; offset= 10 km; resistive layer

half space

total field

TM mode

TE mode

0

0.5

1

1.5

2

time (s)

-0.1

0

0.1

0.2

0.3

0.4

0.5

E

xx

(0,y,0,t) (pV/m)

broadside; offset= 10 km; resistive layer

half space

total field

TM mode

TE mode

Figure 3 Inline (left) and broadside (right) electric field impulse responses at 5 km (top) and 10 km

(bottom) offsets as a function of time for a buried resistive layer; the half space response is in black and

the response with the layer is green, with TE mode in blue and TM mode in red.

References

den Boer, E., Eikelboom, J., van Driel, P. and Watts, D. [2000] Resistivity imaging of shallow salt with

magnetotellurics as an aid to prestack depth migration. First Break, 18, 19–26.

Hanssen, P., Nguyen, A.K., Fogelin, L.T.T., Jensen, H.R., Skarø, M., Mittet, R., Rosenquist, M.,

Súil-leabháin, L.O. and van der Sman, P. [2017] The next generation offshore CSEM acquisition system.

In: SEG International Exposition and 87th Annual Meeting. SEG, Tulsa, 1194–1198.

de Hoop, A.T. [1996] A general correspondence principle for time-domain electromagnetic wave and

diffusion fields. Geophysical Journal International, 127, 757–761.

Hunziker, J., Thorbecke, J. and Slob, E. [2015] The electromagnetic response in a layered vertical

trans-verse isotropic medium: A new look at an old problem. Geophysics, 80(1), F1–F18.

Mittet, R. [2015] Seismic wave propagation concepts applied to the interpretation of marine

controlled-source electromagnetics. Geophysics, 80(2), E63–E81.

Panzner, M., Morten, J.P., Weibull, W.W. and Arntsen, B. [2016] Integrated seismic and electromagnetic

model building applied to improve subbasalt depth imaging in the Faroe-Shetland basin. Geophysics,

81(1), E57–E68.

Sheard, S.N., Ritchie, T.J., Christopherson, K.R. and Brand, E. [2005] Mining, environmental,

petroleum, and engineering applications of electromagnetic techniques in geophysics. Surveys in

Geophysics, 26, 653–669.

Slob, E., Hunziker, J. and Mulder, W.A. [2010] Green’s tensors for the diffusive electric field in a VTI

half-space. Progress in Electromagnetics Research-PIER, 107, 1–20.

Werthmüller, D. [2017] An open-source full 3D electromagnetic modeler for 1D VTI media in Python:

empymod. Geophysics, 82(6), WB9–WB19.

Ziolkowski, A., Hobbs, B.A. and Wright, D. [2007] Multitransient electromagnetic demonstration

sur-vey in France. Geophysics, 72(4), F197–F209.

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More- over, our results and methods used in the proof suggest that in the class of bounded pseudoconvex complete Reinhardt domains the symmetry of the Green function is equivalent

4.5.. Denote this difference by R.. In a typical problem of combinatorial num- ber theory, the extremal sets are either very regular, or random sets. Our case is different. If A is

Totally geodesic orientable real hypersurfaces M 2n+1 of a locally conformal Kaehler (l.c.K.) manifold M 2n+2 are shown to carry a naturally induced l.c.c.. manifolds in a natural

In the present paper, the input signal has a Gaussian distribution which is a typical assumption in both parametric and nonparametric problems of recovering the non- linearity in

The proposed approach follows the ideas of model-based consistency-based diagnostic inference founded on the analysis of the so-called conflict-sets and finding diag- noses as