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Wellbore logs in Rittershoffen, Alsace:
acquisition, analysis and integration
for fractured reservoir characterization
Giovanni Sosio, Andreia Mandiuc, Annalisa Campana, Schlumberger
Jeanne Vidal, Régis Hehn, ES Géothermie
SPWLA France – Technical Session
Paris, SGF, 27 November 2018
The ECOGI project in Rittershoffen, Alsace
The ECOGI project in Rittershoffen, Alsace
The ECOGI project in Rittershoffen, Alsace
Log acquisition in Rittershoffen
Log acquisition in Rittershoffen
Log acquisition in Rittershoffen
Log acquisition in Rittershoffen
Log acquisition in Rittershoffen
1500 m of ultrasonic images analyzed in GRT-1 and GRT-2
360 individual fractures observed in both wells
GRT-1: N10°E to N20°E steeply dipping westward
GRT-2: N160°E to N-S steeply dipping eastward
Geological interpretation: natural fractures
1500 m of ultrasonic images analyzed in GRT-1 and GRT-2
360 individual fractures observed in both wells
GRT-1: N10°E to N20°E steeply dipping westward
GRT-2: N160°E to N-S steeply dipping eastward
Fracture orientation more homogeneous in GRT-1: GRT-2 collinear to the main fault intersects fractures with different orientations
(Vidal et al., EGC 2016)
Geological interpretation: natural fractures
Alte
red
Gra
nite
Fa
ult
Co
reF
resh G
ranite
Permeable fracture zonesassociated to total mud lossesand negative thermal anomaly
Geological interpretation: natural fracture permeability
Permeable fracture zonesassociated to total mud lossesand negative thermal anomaly
Less than 3% of fractures in GRT-1and 1% in GRT-2 are permeable
Geological interpretation: natural fracture permeability
K
U
B
G
M
Computation of mechanical propertiesand stress magnitude based on sonic (DT, DTS) and density logs
Geomechanical interpretation: wellbore stability
GRT-1
Mechanical properties and stress
from input logs (density and sonic)
K
U
B
G
M
Observed events
Computation of mechanical propertiesand stress magnitude based on sonic (DT, DTS) and density logs
Stress orientation derived from drilling-induced tensile fractures(Hehn et al., EGC 2016)
“Mechanical earth model” validated against observedwellbore stability events(drilling-induced fracturesfrom wellbore images and ovalization from caliper)
Geomechanical interpretation: wellbore stability
GRT-1
K
U
B
G
M
Geomechanical interpretation: wellbore stability
GRT-1
Computed critical mud weights
compared with actual mud weight
K
U
B
G
M
Observed events
Geomechanical interpretation: wellbore stability
GRT-1
Synthetic events
Geomechanical interpretation: wellbore stability
K
U
B
G
M
Impact of thermal stresses
GRT-1
Geomechanical interpretation: wellbore stability
0.95 g/cc 2.15
K
L
B
M
G
GRT-2 (prediction)
Geomechanical interpretation: wellbore stability
0.95 g/cc 2.15
K
L
B
M
G1.25 g/cc 1.50
Critical breakout mud weight
GRT-2 (prediction)
From data acquisition to modeling
- Wireline Logging, LWD
> Petrophysical
> Acoustic
> Imaging
- 2D/3D Seismic,EM, Gravimetry
- Well tests
- Core data
- Drilling data
SUITABLE INPUTS
- Inputs QC
- Integration in a single platform
- Advanced processing and interpretation
DATA INTEGRATION
- Build 3D static model:
> geological structure
> rock properties
> fracture network
- Model dynamic behavior:> production/injection
> heat flow and temperature changes
> stress and strain
ANALYSIS & MODELLING
- Well placement/design
- Completion optimization
> Casing/tubing size
> Optimum flow rates
> Stimulation design
- Risk mitigation
> Drilling risks
> Well integrity
> Subsidence
> Induced seismicity
APPLICATION & DESIGN
Integrated geothermal modelling workflow
Seismic data
Drilling data
Logs & offset well info
Structural model
Well test data
Microseismic data
Integrated geothermal modelling workflow
Seismic data
Drilling data
Logs & offset well info
Structural model
Petroph. & image interp
ba d ec
Losses
K
U
B
G
M
1D MEM
Well test data
Microseismic data
Integrated geothermal modelling workflow
Seismic data
Drilling data
Logs & offset well info
Structural model
Inversion
Petroph. & image interp
Geological model
DFN
ba d ec
Losses
K
U
B
G
M
1D MEM
Well test data
Microseismic data
Integrated geothermal modelling workflow
Seismic data
Drilling data
Logs & offset well info
Structural model
Inversion
Petroph. & image interp
Geological model
DFN
ba d ec
Losses
K
U
B
G
M
1D MEM
Flow model
Well test data
Microseismic data
Integrated geothermal modelling workflow
Seismic data
Drilling data
Logs & offset well info
Structural model
Inversion
Petroph. & image interp
Geological model
DFN
ba d ec
Losses
K
U
B
G
M
1D MEM
Flow model
3D MEM
Well test data
Microseismic data
Discrete fracture networkusing image interpretationand structural model –tectonic-based approach
Integration and modeling: natural fractures
Input – image log interpretation
and structural model
Discrete fracture networkusing image interpretationand structural model –tectonic-based approach
Integration and modeling: natural fractures
Geomechanical engine
identifies stress regime
linked to observed faults/fractures
Discrete fracture networkusing image interpretationand structural model –tectonic-based approach
Integration and modeling: natural fractures
Geomechanical engine
identifies stress regime
linked to observed faults/fractures
Resulting DFN
Mechanical properties propagated based on 2D seismic inversion
FEM stress simulation to identifycritically stressed fracturesand forecast induced seismicity
Integration and modeling: geomechanical model
Acoustic impedance
Mechanical properties propagated based on 2D seismic inversion
FEM stress simulation to identifycritically stressed fracturesand forecast induced seismicity
Integration and modeling: geomechanical model
Acoustic impedance
Stress tensor
Stress rotation due to geological structure
Integration and modeling: geomechanical model
Plastic strain
(irreversible deformation)
= fault reactivation
Estimated microseismic events
Integration and modeling: geomechanical model
Estimated microseismic events
Measured microseismic events
Integration and modeling: geomechanical model
Accurately designed log acquisition plan:wellbore images and dipole sonic logs from surface
Detailed analysis of natural fracture geometryand of mechanical properties
Conclusions
Accurately designed log acquisition plan:wellbore images and dipole sonic logs from surface
Detailed analysis of natural fracture geometryand of mechanical properties
Integration of different domain data(images and temperature; sonic and images; etc.)
Insight on reservoir behavior (permeability, stress…)
Conclusions
Accurately designed log acquisition plan:wellbore images and dipole sonic logs from surface
Detailed analysis of natural fracture geometryand of mechanical properties
Integration of different domain data(images and temperature; sonic and images; etc.)
Insight on reservoir behavior (permeability, stress…)
Multi-disciplinary 3D model (geological, fluid flow and geomechanical) based on the above
Understanding of site performance and risks
Conclusions
Thanks for your attention!
Many thanks to Charidimos Spyrou, Oleksandr Burachok, Ann-Sophie Boivineau,
Claudia Sorgi, Vincenzo De Gennaro, Karsten Fischer, Clément Baujard, Albert Genter
slb.com geothermie.es.fr
Data kindly provided by the ECOGI consortium
Modeling software used courtesy of Schlumberger
Acknowledgments