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DETERMINING SATURATION USING ELECTRICAL IMPEDANCE TOMOGRAPHY EIT

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Title: DETERMINING SATURATION USING ELECTRICAL IMPEDANCE TOMOGRAPHY EIT


1
DETERMINING SATURATION USING ELECTRICAL IMPEDANCE
TOMOGRAPHY (EIT)
Robert W. Stacey, Kewen Li and Roland N.
Horne Stanford Geothermal Program rstacey_at_stanfor
d.edu
2
Motivation
  • Residual saturation is critical in vapor
    dominated fields
  • Improve energy recovery and resource development
  • Safely determine resource connectivity

The Geysers CA
3
Motivation
  • Saturation is very difficult to measure
  • Previous research with X-Ray CT scan
  • Metal core holders are required due to high
    pressure and temperature

X-Ray CT Scan Saturation Measurements
4
EIT Theory
  • Known
  • I, applied current
  • Vn, measured voltage
  • Unknown
  • s impedance distribution
  • Problem, nonlinearity OO(s)
  • Voltage distribution function of impedance

5
EIT Lab Setup
PC
Switch Controller
Current Generator
Core
6
Electrode Design
5cm
10cm
  • Berea sandstone core
  • 48 electrodes, 3 rings of 16
  • Attached with conductive epoxy
  • 0.05mA applied current

7
Measuring Potential Field
V1
Bottom Ring
Top Ring
Middle Ring

1
2
16
15
3
14
4
Top Ring
5
13
12
6
11
7
8
10
9
-
Current electrode measurements omitted due to
skin effect
8
Data Acquisition System
  • 48 measurements per excitation
  • 2,304 measurements total
  • 12 second scan time

9
Data Processing Software
  • EIDORS Electrical Impedance Tomography and
    Diffuse Optical Tomography Reconstruction
  • Started in 2002, Polydorides EE PhD
  • Group goal is to promote collaboration between
    medical and industrial research groups in EIT and
    optical tomography

Nick Polydorides and William R B Lionheart 2002 A
Matlab toolkit for three-dimensional electrical
impedance tomography a contribution to the
Electrical Impedance and Diffuse Optical
Reconstruction Software project Meas. Sci.
Technol. 13(12)1871-1883
10
Data Processing
  • MATlab based software
  • Finite element model for forward calculations
  • Regularized non-linear solvers for obtaining a
    unique and stable inverse solution
  • Graphical Software

Nick Polydorides and William R B Lionheart 2002 A
Matlab toolkit for three-dimensional electrical
impedance tomography a contribution to the
Electrical Impedance and Diffuse Optical
Reconstruction Software project Meas. Sci.
Technol. 13(12)1871-1883
11
Image Reconstruction
II)
Initial saturation, distilled water
I)
Water, lower ring
High Conductivity Low Conductivity
IV)
III)
Water, middle ring
Water, upper ring
12
Real-Time Imaging Experiment
  • Imbibed distilled water overnight
  • Saline drip displacement
  • 194 Scans
  • Reconstruction time 20 minutes

13
Real-Time Imaging Experiment
Saline Displacement
14
Real-Time Imaging Experiment
Middle Ring
Bottom Ring
Vertical Slice
Top Ring
15
EIT Calibration
  • Determined Resistivity-Saturation Relationship

16
EIT Calibration
  • Archies Law
  • Modification added due to fluid resistance
    dependent upon saturation

17
EIT Calibration
  • Resistivity Index vs. Saturation (DC system)

18
EIT Calibration
  • Resistivity Index vs. Saturation (AC system 40
    Hz)

19
EIT Calibration
  • Resistivity Index vs. Saturation (AC system 40
    Hz)

20
EIT Calibration
  • Comparison 5_13 (AC) and 4_6 (DC)

21
Conclusions
  • EIT is capable of imaging saturation fronts in
    real-time
  • Numerical dispersion currently makes the reliable
    detection of sharp saturation fronts difficult.
  • EIT is capable of measuring the saturation
    distribution at saturations accurately between
    20 lt Sw lt 65 in a rock core.
  • The DC current causes erroneous resistivity
    results at high saturations (Sw gt 65) due to ion
    mobility
  • The modification to Archies equation was
    critical in capturing the physics of the system
  • EIT is an inexpensive, practical, compact, and a
    safe alternative to the CT scan

22
Future Work
  • Implementing high frequency AC current source to
    negate ion mobility effects
  • Further quantification of results with mass
    balance and X-ray CT scan
  • Performing a sensitivity analysis on the data
    collection and inversion software
  • Expanding development into fractured geothermal
    cores
  • Investigating field applications

23
Acknowledgments
  • This research was conducted with financial
    support to the Stanford Geothermal Program from
    the US Department of Energy under grant
    DE-FG07-02ID14418, the contribution of which is
    gratefully acknowledged.

24
Questions?
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