On-line Optimization-Based Simulators for Fractured and Non-fractured Reservoirs Page: 4 of 188
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Oil field development is a multi-million dollar business. Reservoir simulation is
often used to guide the field management and development process. Reservoir
characterization and geologic modeling tools have become increasingly sophisti-
cated. As a result the geologic models produced are complex. Most reservoirs
are fractured to a certain extent. The new geologic characterization methods are
making it possible to map features such as faults and fractures, field-wide. Sig-
nificant progress has been made in being able to predict properties of the faults
and of the fractured zones.
Traditionally, finite difference methods have been employed in discretizing the
domains created by geologic means. For complex geometries, finite-element meth-
ods of discretization may be more suitable. Since reservoir simulation is a mature
science, some of the advances in numerical methods (linear, nonlinear solvers and
parallel computing) have not been fully realized in the implementation of most of
The purpose of this project was to address some of these issues.
* One of the goals of this project was to develop a series of finite-element simu-
lators to handle problems of complex geometry, including systems containing
faults and fractures.
* The idea was to incorporate the most modern computing tools;use of mod-
ular object-oriented computer languages,the most sophisticated linear and
nonlinear solvers, parallel computing methods and good visualization tools.
* One of the tasks of the project was also to demonstrate the construction
of fractures and faults in a reservoir using the available data and to assign
properties to these features.
* Once the reservoir model is in place, it is desirable to find the operating
conditions, which would provide the best reservoir performance. This can
be accomplished by utilization optimization tools and coupling them with
reservoir simulation. Optimization-based reservoir simulation was one of the
* Providing remote access to the simulators developed was also one of the
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Deo, Milind D. On-line Optimization-Based Simulators for Fractured and Non-fractured Reservoirs, report, August 31, 2005; Utah. (https://digital.library.unt.edu/ark:/67531/metadc877059/m1/4/: accessed April 21, 2019), University of North Texas Libraries, Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.