Outline General rules for depth estimation Ambiguity of source depth Depth estimation methods ...

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Outline General rules for depth estimation Ambiguity of source depth Depth estimation methods Based on characteristic shape of the anomaly Width at half amplitude Width between steepest slopes Gradient-based methods Graphical methods (linear slope, Peters, Sokolov’s) Based on radial Fourier spectra Dominant wavelength Spectral slope (roll-off) Roy’s Graphical methods for the top of the source E-line Werner’s (two methods) Logachev’s

Transcript of Outline General rules for depth estimation Ambiguity of source depth Depth estimation methods ...

Page 1: Outline  General rules for depth estimation  Ambiguity of source depth  Depth estimation methods  Based on characteristic shape of the anomaly  Width.

Outline General rules for depth estimation

Ambiguity of source depth Depth estimation methods

Based on characteristic shape of the anomaly Width at half amplitude Width between steepest slopes Gradient-based methods Graphical methods (linear slope, Peters, Sokolov’s)

Based on radial Fourier spectra Dominant wavelength Spectral slope (roll-off) Roy’s

Graphical methods for the top of the source E-line Werner’s (two methods) Logachev’s

Page 2: Outline  General rules for depth estimation  Ambiguity of source depth  Depth estimation methods  Based on characteristic shape of the anomaly  Width.

Source-depth ambiguity Source depth cannot be unambiguously

determined from the recorded field Green’s equivalent layer (stratum) can be placed anywhere

below the observation surface This layer represents a distributed source Perfectly reproduces the field recorded on and above the survey

surface All methods of depth estimation look for “the simplest”

models: Explaining localized and pronounced gravity anomalies Try explaining them by compact sources

Page 3: Outline  General rules for depth estimation  Ambiguity of source depth  Depth estimation methods  Based on characteristic shape of the anomaly  Width.

Principle Four key ideas for estimating the depth to the source:

1) Depth is proportional to the lateral extent w of the anomaly:

The question is how to measure this width conveniently

F is the formfactor depending on the shape of the source

2) Depth is inversely proportional to the gradients of log(Dg):

3) Depth is inversely proportional to the dominant wavenumber kD:

4) Depth is proportional to the roll-off of spectral amplitudes:

h Fw

1

D

h Fk

logd gh F

dk

To see that these quantities should be proportional to the depth, simply check their dimensionalities

1

logh F

d g dx

2 2

1

logh F

d g dx

or

Page 4: Outline  General rules for depth estimation  Ambiguity of source depth  Depth estimation methods  Based on characteristic shape of the anomaly  Width.

Width-based method #1:Width at half amplitude If w is measured at half of the peak amplitude w =

w1/2, then, for a spherical monopole source:

and therefore F = 0.65.

2/31/2 2 2 1

0.65

hw h

For a line source (rod, pipe) in the direction across its strike: F = 0.5.

For this method, the regional trend should be carefully removed The trend distorts the reading of w1/2.

See pdf notes

Page 5: Outline  General rules for depth estimation  Ambiguity of source depth  Depth estimation methods  Based on characteristic shape of the anomaly  Width.

Width-based method #2:Width between steepest points If w is measured between the points of steepest

dDg/dx, then for a spherical anomaly:and therefore F = 1.

2w h

For a line source (rod, pipe) across strike: 2

1.153

F

Steepest-gradient points are more difficult to eyeball, but this w is practically unaffected by the regional trend The trend only adds a constant to the gradients

See pdf notes

Page 6: Outline  General rules for depth estimation  Ambiguity of source depth  Depth estimation methods  Based on characteristic shape of the anomaly  Width.

Gradient-based method #1 h is estimated from the gradient of logDg (scale-invariant

gravity anomaly) at the point of largest dDg/dx:

For a line source (rod, pipe) across strike: 30.87

2F

1

log

gh F F

d g dx d g dx

For a spherical (point, box) source: 1.2F See pdf notes

Page 7: Outline  General rules for depth estimation  Ambiguity of source depth  Depth estimation methods  Based on characteristic shape of the anomaly  Width.

Gradient-based method #2 Quantities Dg and dDg/dx can also be measured at points

of their respective largest magnitudes. Then:

For a line source (rod, pipe) across strike: 90.65

8 3F

max

max

gh F

d g dx

For a spherical (point, box) source: 0.86F See pdf notes

Page 8: Outline  General rules for depth estimation  Ambiguity of source depth  Depth estimation methods  Based on characteristic shape of the anomaly  Width.

Gradient-based method #3 Using the second derivative d2Dg/dx2 (curvature) and Dg

at the peak of Dg:

For a spherical (point, box) source: For a line source (rod, pipe) across strike, F is the same This suggests a method for any shape in the next slide

3 1.73F See pdf notes

2 2

gh F

d g dx

Page 9: Outline  General rules for depth estimation  Ambiguity of source depth  Depth estimation methods  Based on characteristic shape of the anomaly  Width.

Gradient-based method #4 If we use upward continuation to evaluate the

second vertical derivative of the field:

6 2.45F

2 2

gh F

d g dz

2 2 2

2 2 2

g g g

z x y

Poisson’s equation

then for any shape of the source, the two second horizontal derivatives can be replaced with a vertical one:

and the formfactor becomes:

Page 10: Outline  General rules for depth estimation  Ambiguity of source depth  Depth estimation methods  Based on characteristic shape of the anomaly  Width.

Graphical shape-based methods for depth

Slightly different combinations of the steepest slope dDg/dx with Dg taken at different points

See pages 16-20 in pdf notes Linear slope method Peters method Sokolov’s method

Page 11: Outline  General rules for depth estimation  Ambiguity of source depth  Depth estimation methods  Based on characteristic shape of the anomaly  Width.

Graphical shape-based methods for horizontal position of the dipole source

Look for the position of the shallower (south in the northern hemisphere) pole of the effective dipole Remember that the measured positive high over this

pole is shifted to the south

Green is the observed field, blue and red are its constituents due to the north and south poles

Page 12: Outline  General rules for depth estimation  Ambiguity of source depth  Depth estimation methods  Based on characteristic shape of the anomaly  Width.

Graphical shape-based methods for horizontal position of the dipole source

See pdf notes. Two groups of methods:

1) Using only the main lobe of DT (x) Werner’s methods – use bisectors of two or three chords of

the main lobe of DT (x)

2) Using both the positive and negative lobes E-line method – connect the positive high and negative

low; the intersection with DT (x) gives the x0 of the shallower pole

Logachev’s method – measure the positive high DThigh and negative low DTlow, then find the x0 such that:

0 high lowT x T T

Page 13: Outline  General rules for depth estimation  Ambiguity of source depth  Depth estimation methods  Based on characteristic shape of the anomaly  Width.

Spectral method #1: Spectral roll-off Plot log(amplitude spectrum Dg(k)) vs. the absolute

value of radial wavenumber, See pdf notes

2 2x yk k k

From upward continuation, we know that the spectrum of a potential field is multiplied by “continuation factor” when the observation plane is shifted upward by Dz

For a source at depth h: Dg(x) is close to a pulse, Consequently the amplitude spectrum at the source level:

Therefore, the spectrum at the surface is:

Therefore, log(g) vs. |k| graph makes a straight line, with slope (-h):

ze k

source,g k z h g const

source, 0 hg k z g e k

sourcelog , 0 logg k z g h k

Page 14: Outline  General rules for depth estimation  Ambiguity of source depth  Depth estimation methods  Based on characteristic shape of the anomaly  Width.

Spectral method #2: Roy’s method

3

maxg h h

Downward continue the field in small increments in h and plot the amplitude of the anomaly, Dgmax, as a function of h

The depth of the anomaly hmax corresponds to the “elbow” after which Dgmax(h) starts quickly increasing When approaching this depth, the amplitude of the anomaly

should increase as

This method is only “spectral” by the computation of the Dg(h) dependence

This has a fairly steep increase as h approaches hmax