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Fracture Research and Application Consortium Selected Overview Slides 2005 http://www.beg.utexas.edu/indassoc/fraccity/public/recntevnt.htm Austin Texas. Agenda. Introduction Models to Flow Simulation Introduction to Characterization Methods Discussion. - PowerPoint PPT Presentation
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ofBureau
EconomicGeology
Fracture Research and Application Consortium
Selected Overview Slides 2005 http://www.beg.utexas.edu/indassoc/fraccity/public/recntevnt.htm
Austin Texas
Fracture Research & Application Consortium 2
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Agenda
• Introduction• Models to Flow Simulation• Introduction to Characterization Methods• Discussion
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FRAC GoalsFracture Research and Application Consortium
• Verifiable conceptual fracture models• Accurate pre-drill predictions• High-resolution, site-specific evaluation • Proven economic impact
– Exploration: risk assessment– Production: reservoir simulation
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Benefits of Membership I
• Opportunities for collaborative projects– Case studies
• Fracture Research & Application Consortium– We are committed to developing useful tools
• Accessible, proven value, unique
• Access to cutting-edge research as it happens– Website & FTP site, software
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FRAC Website private sidehttp://www.beg.utexas.edu/indassoc/fraccity/index.htm
Username: DevonEnergyPassword: FracIA16Note these are case sensitive
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Shared Case Study Data
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Reports, manuscripts, abstracts
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Glossary
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Application
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Benefits of Membership II
• Annual research meeting & field trips• Company office visits & short courses• Company staff training in Austin• Longstanding committed membership• Leveraged research
– DOE, NSF– Jackson School Geology Foundation
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Members2005 Fracture Research & Application Consortium
Petroleum & Geosystems Engineering – Geological Sciences – Bureau of Economic GeologyThe University of Texas at Austin
IMP
Shell International E & P
Huber
Anadarko
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UT Researchers Associated with FRAC
Petroleum & Geosystems Engineering – Geological Sciences – Bureau of Economic GeologyThe University of Texas at Austin
Lake Olson Marrett Lander Bonnell Sen
Gale Reed Laubach Milliken Srinivasan Holder Fomel
Geocosm Geocosm UTIG
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Why a new approach is needed Fracture prediction & evaluation
• Inherent sampling limitations• Unconstrained models
– Predictions difficult to verify– Predictions do not extend to key attributes
• Intensity, Clustering, Are the fractures open?
• Predrill and interwellbore extrapolation– Unacceptable uncertainties
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Challenges Fracture Prediction & Evaluation
Unconstrained models
• EquifinalityEquifinality
• Predictions difficult to verifyPredictions difficult to verify
Frontier Formation, Wyoming
Challenges Fracture Prediction & Evaluation
• Inherent sampling limitations
Hypothetical well bore
Example of difficult-to-measure attributeOpen Fracture Length Distribution
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FRAC Approach
• Exploit links between chemical, mechanical processes– More accurate predictive models– Measure attributes not otherwise obtainable– Quantitative, site-specific, low-cost data not
limited by conventional sampling problems– Map attributes; calibrate seismic data;
incorporate results in simulators
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Research Approaches
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Conceptual Approach of FRAC
Production:ReservoirSimulation
Microstructure(Laubach) Structural surrogates
Geo
mec
hani
cs(O
lson)Scaling
(Marrett)
Reservoir quality
Exploration:Risk
AssessmentQuality, Orientations, Timing,
Apertures, Lengths,Spacings, Geometry
Predict Attributes of Large Fractures and Fracture Arrays
Quantitative Quantitative Structure Structure
Geomechanics Geomechanics DiagenesisDiagenesis
Linked ModelsLinked Models
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Fractures Across a Range of ScalesFRAC Research Covers this Scale Range
Outcrop
cms
Logs
mm
Core
< mm
Thin section
0.5 mm
SEM
ms
Seismic
mdm
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Predictions of Fracture ClusteringThree maps of fracture trace patterns
- 1 0
- 8
- 6
- 4
- 2
0
2
4
6
8
1 0
- 8 - 6 - 4 - 2 0 2 4 6 8
n = 5
- 1 0
- 8
- 6
- 4
- 2
0
2
4
6
8
1 0
- 8 - 6 - 4 - 2 0 2 4 6 8
n = 2 0
- 1 0
- 8
- 6
- 4
- 2
0
2
4
6
8
1 0
- 8 - 6 - 4 - 2 0 2 4 6 8
n = 8 0
n=5 n=20 n=80
•low n, spacing < bed thickness, early subcritical growth•high n, widely spaced clusters, late critical growth
n is subcritical index (n) a rock property that can be used to predict network geometry
Note changes in degree of fracture clustering
Arr
ow in
dica
tes
bed
thic
knes
s fo
r the
se m
odel
s
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Case Studies• Key element of FRAC• Objectives
– Advance research– Transfer technology
• New structure starting in 2005– Aim: Service to Members– Structure under development– Made possible in part by JSG initiative grant