scholarly journals DigitalCrust - a 4D data system of material properties for transforming research on crustal fluid flow

Geofluids ◽  
2014 ◽  
Vol 15 (1-2) ◽  
pp. 372-379 ◽  
Author(s):  
Y. Fan ◽  
S. Richard ◽  
R. S. Bristol ◽  
S. E. Peters ◽  
S. E. Ingebritsen ◽  
...  
Keyword(s):  
Fluid Flow ◽  
Material Properties ◽  
Data System ◽  
Crustal Fluid

scholarly journals DigitalCrust - a 4D data system of material properties for transforming research on crustal fluid flow

2016 ◽  
pp. 6-12 ◽  
Author(s):  
Ying Fan ◽  
Stephen Richard ◽  
R. Sky Bristol ◽  
Shanan E. Peters ◽  
Steven E. Ingebritsen ◽  
...  
Keyword(s):  
Fluid Flow ◽  
Material Properties ◽  
Data System ◽  
Crustal Fluid

Data Assimilation of Coupled Fluid Flow and Geomechanics Using the Ensemble Kalman Filter

SPE Journal ◽  
2010 ◽  
Vol 15 (02) ◽  
pp. 382-394 ◽  
Author(s):  
Haibin Chang ◽  
Yan Chen ◽  
Dongxiao Zhang
Keyword(s):  
Fluid Flow ◽  
Kalman Filter ◽  
Data Assimilation ◽  
Material Properties ◽  
Ensemble Kalman Filter ◽  
Oil Field ◽  
Reservoir Rock ◽  
Model Parameters ◽  
Stress Strain ◽  
Reservoir Flow

Summary In reservoir history matching or data assimilation, dynamic data, such as production rates and pressures, are used to constrain reservoir models and to update model parameters. As such, even if under certain conceptualization the model parameters do not vary with time, the estimate of such parameters may change with the available observations and, thus, with time. In reality, the production process may lead to changes in both the flow and geomechanics fields, which are dynamically coupled. For example, the variations in the stress/strain field lead to changes in porosity and permeability of the reservoir and, hence, in the flow field. In weak formations, such as the Lost Hills oil field, fluid extraction may cause a large compaction to the reservoir rock and a significant subsidence at the land surface, resulting in huge economic losses and detrimental environmental consequences. The strong nonlinear coupling between reservoir flow and geomechanics poses a challenge to constructing a reliable model for predicting oil recovery in such reservoirs. On the other hand, the subsidence and other geomechanics observations can provide additional insight into the nature of the reservoir rock and help constrain the reservoir model if used wisely. In this study, the ensemble-Kalman-filter (EnKF) approach is used to estimate reservoir flow and material properties by jointly assimilating dynamic flow and geomechanics observations. The resulting model can be used for managing and optimizing production operations and for mitigating the land subsidence. The use of surface displacement observations improves the match to both production and displacement data. Localization is used to facilitate the assimilation of a large amount of data and to mitigate the effect of spurious correlations resulting from small ensembles. Because the stress, strain, and displacement fields are updated together with the material properties in the EnKF, the issue of consistency at the analysis step of the EnKF is investigated. A 3D problem with reservoir fluid-flow and mechanical parameters close to those of the Lost Hills oil field is used to test the applicability.

Solving One-Dimensional Partial Differential Equations

2021 ◽  
pp. 191-215
Keyword(s):  
Heat Transfer ◽  
Fluid Flow ◽  
Partial Differential Equations ◽  
Differential Equations ◽  
Boundary Conditions ◽  
Material Properties ◽  
Final Part ◽  
Temperature Dependent ◽  
Partial Differential ◽  
One Dimensional

This chapter describes the pdepe command, which is used to solve spatially one-dimensional partial differential equations (PDEs). It begins with a description of the standard forms of PDEs and its initial and boundary conditions that the pdepe solver uses. It is shown how various PDEs and boundary conditions can be represented in standard forms. Applications to the mechanics are presented in the final part of the chapter. They illustrate how to solve: heat transfer PDE with temperature dependent material properties, startup velocities of the fluid flow in a pipe, Burger's PDE, and coupled FitzHugh-Nagumo PDE.

Homogenization of Material Properties of Transpiration Cooled Multilayer Plates

2003 ◽  
Author(s):  
Gottfried M. Laschet ◽  
Stephan Rex ◽  
Dieter Bohn ◽  
Norbert Moritz
Keyword(s):  
Heat Transfer ◽  
Fluid Flow ◽  
Material Properties ◽  
Homogenization Method ◽  
Heat Transfer Analysis ◽  
Thermal Barrier ◽  
Multiscale Approach ◽  
Hot Gas ◽  
Flow And Heat Transfer ◽  
Barrier Coating

To predict the aerothermal behaviour of transpiration cooled gas turbine components, a multiscale approach based on the homogenization method of periodic material structures is developed. This method allows to calculate effective equivalent thermophysical properties either for each layer or for the multilayer of superalloy, bondcoat and thermal barrier coating. From the 3-D conjugate fluid flow and heat transfer analysis, the stationary state is extracted and transferred to the microscale unit cell discretized by finite elements. Effective permeabilities of different designs of the cooled multilayer are determined and analyzed in detail for the TBC layer. For two efficient shaped cooling designs different hot gas velocities and blowing rates of the cooling gas are analyzed. The influence of the corresponding aerothermal results on the effective thermal conductivities of each monolayer and the multilayer are then discussed for both shaped cooling configurations.

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