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Reading Room :: Theses 2004
Peter Liu's thesis
by
Xiaohuan Liu, M.S.E.
University of Texas at Austin, 2004
Supervisor: Sanjay Srinivasan
Natural fractures are commonly observed in many major reservoirs worldwide and
contribute significantly to worldwide oil production. Characterization of
fractures is necessary in order to make accurate forecast of reservoir
performance. However fracture reservoir characterization is not easy due to
insufficient information generally derived from cores and logs. The main current
characterization tools are geological classification, geomechanical
characterization, pattern recognition and stochastic simulation.
Different
fracture characterization methods are reviewed and it is realized that
traditional stochastic simulation or geomechanical modeling can not generate
physically realistic fracture model with identification of uncertainty of
various information and consideration of geomechanical information that
strongly control fracture network. Therefore, a new approach based on multiple
point stochastic simulation and permanence of ratio hypothesis is developed in
this research to generate stochastic fracture models with integration of analog
model obtained from outcrop information and geomechanical information. A case studied
on real field also showed that this multiple point based stochastic simulation
approach generated model characterizing patterns observed in the training model
accurately and therefore can be used to simulate fracture propagation in
regions where fracture distribution is unknown yet. Finally, some conclusion
was drawn and future work is discussed.
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