Characterization of Fracture Patterns in The Geysers Geothermal Reservoir by Shearwave Splitting - PowerPoint PPT Presentation

1 / 35
About This Presentation
Title:

Characterization of Fracture Patterns in The Geysers Geothermal Reservoir by Shearwave Splitting

Description:

... are modeled as non-vertically dipping cracks or biplanar intersecting crack systems. ... strike=55, dip=81. Inversion Examples : SE Geysers. NW Geysers. NW Geysers ... – PowerPoint PPT presentation

Number of Views:46
Avg rating:3.0/5.0
Slides: 36
Provided by: Maya59
Category:

less

Transcript and Presenter's Notes

Title: Characterization of Fracture Patterns in The Geysers Geothermal Reservoir by Shearwave Splitting


1
Characterization of Fracture Patterns in The
Geysers Geothermal Reservoir by Shear-wave
Splitting
  • J.A. Rial (P.I.)
  • M. Elkibbi, M. Yang, G. Vlahovic, A. Gero
  • Wave Propagation Lab
  • UNC- Chapel Hill

2
Introductory Remarks
  • Characteristics of split shear-waves
  • Anisotropy-inducing stress-aligned microcracks
    cause shear-waves to split into a fast and a slow
    component a phenomenon analogous to optical
    birefringence.
  • The leading shear-wave is polarized parallel to
    the strike of the predominant fracture system,
    while the slow shear-wave is polarized
    perpendicular to it.
  • The time delay between the arrivals of the fast
    and slow S-waves is proportional to crack density
    (number of cracks per unit volume).

3
The Geysers seismicity
4
Project Objectives
  • Test the applicability and limitations
    (observability) of shear-wave splitting (SWS) in
    imaging anisotropic fractured reservoirs.
    Application to The Geysers and Coso.
  • Detect potential directions of subsurface
    fluid-flow through stress-aligned cracks and
    regions of high crack density.
  • Develop software for the processing, modeling,
    inversion, and interpretation of SWS.

5
Methodology
  • Data processing
  • Forward Modeling
  • Inversion

6
Anisot X, a software package for SWS
  • Anisot X is a multi-objective program to
    image fractured reservoirs using shear-wave
    splitting data.

PROCESSING
FORWARD
INVERSION
  • Anisot X is Matlab-based
  • with three operation modes
  • PROCESSING
  • FORWARD MODELING
  • INVERSION

HELP
CONVENTIONS
EXIT
7
Data Processing
8
(No Transcript)
9
(No Transcript)
10
Modeling assumption
  • Observed SWS is solely induced by
    crack-anisotropy in an otherwise isotropic
    medium, since the fabric of the reservoir rocks
    in both The Geysers and Coso lacks significant
    lithology-induced anisotropy.

11
The forward problem
Theoretical polarizations
Theoretical time delays
Theoretical polarizations
Rose diagram
Equal-area plot
Equal-area plot
The forward problem is solved by simulating
propagation of a plane S-wave through a
transversely isotropic (TI) model.
12
Inversion Scheme
  • Both polarization and time delay observations are
    used to invert for the most likely crack geometry
    and fracture density in the subsurface.
  • The method includes optimization-based and
    trial-and-error inversion schemes.
  • Residual functions (RMS of observed
    calculated) for both polarizations and time
    delays are minimized in the least-squares sense.
  • The starting model to simulate crack-induced
    anisotropy is HTI (horizontal transverse
    isotropy).
  • Deviations from HTI are modeled as
    non-vertically dipping cracks or biplanar
    intersecting crack systems.

13
Inversion Scheme
14
Residual functions
strike55, dip81
complement crack dip
crack strike
Polarizations
Time delays
15
Inversion Examples SE GeysersNW Geysers
16
(No Transcript)
17
(No Transcript)
18
(No Transcript)
19
NW Geysers
20
(No Transcript)
21
(No Transcript)
22
(No Transcript)
23
Models of Fracture Geometry and Crack
Densities
24
(No Transcript)
25
(No Transcript)
26
(No Transcript)
27
SE Geysers
28
(No Transcript)
29
(No Transcript)
30
(No Transcript)
31
Concluding remarks
  • The observability test has been very successful.
    The SWS method has proven to be effective in
    imaging subsurface crack geometry and density in
    geothermal reservoirs.
  • The inversion of SWS data provides a 3D view of
    the crack structure not obtainable by any other
    imaging method.
  • Modeled crack geometries are in good to excellent
    agreement with
  • drill core data, tracer tests, locally mapped
    fractures, and the regional tectonic setting,
    both in The Geysers and Coso.
  • Models of fracture geometry and crack density can
    potentially reduce the risk of exploratory
    drilling and help increase geothermal
    productivity.

32
Impact of work
  • Coso Results dramatically corroborated by
    production engineers.
  • A strong and important variation in crack
    orientation detected by measurements of SWS at
    station CE6 was confirmed by site drilling
    (Sheridan et al.,2003 S. Petty, personal comm.,
    2003).

CE6
33
Impact of work (contd)
The UNC shear-wave splitting analysis
resulting from the 2002 injection studies at the
Coso east flank has added significant value to
the DOE-funded EGS program at Coso.The analysis
identified sets of fractures that became
conductive upon injection of cold condensate at
modest injection rates and pressures With
these results in hand, it would be very
interesting to conduct a similar shear-wave
splitting analysis in conjunction with the
massive-hydraulic-fracturing experiments planned
for the near future at Coso. Peter Rose,
PI, Coso EGS Project Geothermal Program
Coordinator Energy Geoscience Institute,
University of Utah
34
Impact of work (contd)
  • Upon a detailed presentation of our results,
    Icelands National Energy Authority (Orkustofnun)
    enthusiastically invited our research group to
    submit a proposal to map subsurface crack
    geometry and density in Hengill (Nesjavellir)
    and Krafla geothermal reservoirs.

Krafla
Nesjavellir
35
Work supported by the U.S. Department of
Energy, Assistant Secretary Energy Efficiency and
Renewable Energy under DOE Idaho Operations
Office, Financial Assistance Award
DE--FG07-00ID13956.DISCLAIMER This
information was prepared as an account of work
sponsored by an agency of the U.S. Government.
Neither the U.S. Government nor any agency
thereof, nor any of their employees, makes any
warranty, express or implied, or assumes any
legal liability or responsibility for the
accuracy, completeness, or usefulness of any
information, apparatus, product, or process
disclosed, or represents that its use would not
infringe privately owned rights. References
herein to any specific commercial product,
process, or service by trade name, trademark,
manufacturer, or otherwise, does not necessarily
constitute or imply its endorsement,
recommendation, or favoring by the U.S.
Government or any agency thereof. The views and
opinions of authors expressed herein do not
necessarily state or reflect those of the U.S.
Government or any agency thereof.
Write a Comment
User Comments (0)
About PowerShow.com