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Wave Modeling, Tomography, Geostatistics and Edge Detection

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Wave Modeling, Tomography, Geostatistics and Edge Detection. Youli Quan ... SYNTHETIC EXAMPLE ON ATTENUATION TOMOGRAPHY. Crosswell geometry, RT method for modeling ... – PowerPoint PPT presentation

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Title: Wave Modeling, Tomography, Geostatistics and Edge Detection


1
Wave Modeling, Tomography, Geostatistics and Edge
Detection
  • Youli Quan

2
Modeling Waves in a Borehole
First Topic
3
Modeling Waves in a Borehole
  • Borehole models
  • Mathematical description
  • Examples
  • Conclusions

4
Modeling Waves in a Borehole
  • Borehole models
  • Mathematical description
  • Examples
  • Conclusions

5
BOREHOLE RELATED SEISMIC MEASUREMENTS
Fluid-filled borehole
Fluid-filled borehole
Vertical seismic profiling
o
Single borehole profiling
o
Cross- borehole profiling
Sonic logging
o
o
x
Source
6
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Modeling Waves in a Borehole
  • Borehole models
  • Mathematical description
  • Examples
  • Conclusions

9
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Modeling Waves in a Borehole
  • Borehole models
  • Mathematical description
  • Examples
  • Conclusions

14
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REFLECTION DUE TO AN OUTER-CYLINDRICAL FORMATION
Model
Borehole
Vp3 km/s Vs1.8 km/s
Vp1.9 km/s Vs1.4 km/s
x x x x x x x x x x
Receivers
150 m
10 m
Formation I
Formation II
Source
o
100 m
18
Seismograms (fo 800 Hz)
150
source - receiver offset (m)
10
100
150
10
50
Time (ms)
19
A SYNTHETIC CROSSWELL SURVEY
Cased borehole
30 m
30 m
x x x x x x x x x x x x x x x
o o o o o o o o o o o o o o o
100
Vp5 km/s Vs2.9 km/s
Formation
100 m
S-R offset (m)
Vs3.3 km/s
Vp5.8 km/s
0
10
30
0
20
40
Receivers
Sources
Time (ms)
(a) Model. There is a fault in the formation
(b) A common receiver gather
20
Modeling Waves in a Borehole
  • Borehole models
  • Mathematical description
  • Examples
  • Conclusions

21
  • A new wave modeling method based on the
    generalized R/T coefficients is developed for
    complex borehole simulations.
  • This method is efficient, robust, and accurate.
    It has been applied to sonic logging, crosswell
    profiling, and single borehole profiling.

22
Second Topic
Attenuation Tomography
23
Waveform and Attenuation
Higher frequency Waveform
Lower Absorption
Lower frequency Waveform
Acoustic Sources
Higher Absorption
Acoustic Receivers
24
Measure Attenuation from Waveform
Incident Wave S(f)
Transmitted Wave R(f)S(f)H(f)
Medium Response H(f)
H
(
f
)

exp

-
f
a
dl

ò
o
25
SYNTHETIC EXAMPLE ON ATTENUATION
TOMOGRAPHY Crosswell geometry, RT method for
modeling
(a) Original model
(b) Reconstruction
Receivers
Sources
x x x x x x x x x x x x
o o o o o o o o o o o o o o
Vf5 kft/s Qf20
Vp11.8 kft/s Vs6.9 kft/s Qp30
100 ft
Vp12 kft/s Vs7 kft/s Qp60
70 ft
25
65
26
Third Topic
Geostatistics
27
Geostatistics
  • Introduction
  • Variogram
  • Kriging

28
Geostatistics
  • Introduction
  • Variogram
  • Kriging

29
  • Geostatistics is the study of phenomena that
  • fluctuate in space.
  • It offers tools aimed at understanding and
  • modeling spatial variability.
  • These tools include histogram, covariance,
  • variogram, kriging, simulation, and etc.

30
Geostatistics
  • Introduction
  • Variogram
  • Kriging

31
Experimental Models
x
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vj
hij
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vi
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x
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x
x
32
Theoretical Models
Exponential Model
Spherical Model
33
Geostatistics
  • Introduction
  • Variogram
  • Kriging

34
Kriging is a linear estimator with following
features
  • Weighting factors are solved based on the
    selected variogram.
  • It has minimum variance of the estimation errors.
  • The estimation is unbiased.
  • Estimated values has the same statistical
    properties as given data

x
vi
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o
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x
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