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Measuring Effective Wellbore Permeability

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Measuring Effective Wellbore Permeability Sarah Gasda, Princeton University Michael Celia, Princeton University Jan Nordbotten, Univ. of Bergen – PowerPoint PPT presentation

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Title: Measuring Effective Wellbore Permeability


1
Measuring Effective Wellbore Permeability
  • Sarah Gasda, Princeton University
  • Michael Celia, Princeton University
  • Jan Nordbotten, Univ. of Bergen

2
Objective
  • Propose a simple field test to determine
    effective (bulk) wellbore permeability
  • Use numerical analysis to determine the
    feasibility of this test
  • Define the range of detection given constraints
    on instrument accuracy

3
Approach
  • We design a test to determine well permeability.
  • If we can estimate permeability values for the
    formation and caprock, we can find well
    permeability from pressure response.
  • We do this by using simulations to generate
    response curves that relate pressure response to
    well permeability.

4
Existing Oil and Gas Wells
End of 2004
From IPCC SRCCS, 2005
5
Leakage Pathways in Wells
6
Modeling CO2 leakage
  • Large spatial and temporal scales
  • Multiple leaky wells
  • probabilistic framework
  • No data exist on wells
  • Need to pin down statistical distributions
  • Need a simple test to identify kwell in well
    segments

7
Experimental Design
8
Numerical Experiments
  • Standard finite-difference simulator
  • axi-symmetric coordinates
  • transient, single-phase flow
  • 7 permeable layers (10mD), 7 shale caprocks
    (0.1mD)
  • Fixed pressure at top and outer boundaries
  • Impermeable bottom boundary
  • Explore parameter space
  • Vary permeability in well (kw), caprock (k), and
    lower formation (k)

Fixed pressure B.C.
Permeable formations
Shale layers
Disturbed zone, kw
Intermediary caprock, k
z
Lower formation, k
0.5 m
rB
r
9
Example Numerical Results
Transient data
Steady-state data
10
Dimensionless Results
11
Limits on Field Measurements
  • Instrument measurement accuracy
  • Pressure transducers rated for high P,T
  • 0.1 bar (Schlumberger, UNIGAGE Quartz)
  • Fracture pressure
  • Minimum horizontal fracture stress 17 kPa/m
  • Bachu et al. 2005. Underground Injection Sci.
    Tech.
  • Maximum pressure change must be less than
    fracture pressure minus initial pressure
  • Average hydrostatic gradient 11kPa/m
  • Order-of magnitude sensitivity limits
  • Error in ?ptop 10-2 MPa, ?pbot 10 MPa

12
Estimation of Sensitivity Limits
  • Error in field data
  • ?ptop/?pbot 10-3
  • Viable range of values
  • minimum pressure that can be measured reliably
  • Insensitive response regions
  • Slope of curve is flat
  • Small error in ?ptop translates to large
    uncertainty in kw

13
Range of Detection
range of detection
14
Alternative Test Design
  • Purpose
  • Reduce influence of lower formation permeability
    on pressure response
  • Expand range of detection
  • Move perforations to location within intermediary
    caprock
  • Repeat numerical experiments

15
Modified Test Results
16
Improved Range of Detection
17
Conclusion
  • There is a lack of meaningful data available for
    well properties.
  • A simple downhole pressure test can identify
    effective well permeability values that are in
    the critical range of values.
  • Field experiments are needed to reduce the
    uncertainty associated with current estimates of
    CO2 leakage.

18
Thank you!
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