4,672 research outputs found
Mathematical modeling of thermal stabilization of vertical wells on high performance computing systems
Temperature stabilization of oil and gas wells is used to ensure stability
and prevent deformation of a subgrade estuary zone. In this work, we consider
the numerical simulation of thermal stabilization using vertical seasonal
freezing columns.
A mathematical model of such problems is described by a time-dependent
temperature equation with phase transitions from water to ice. The resulting
equation is a standard nonlinear parabolic equation.
Numerical implementation is based on the finite element method using the
package Fenics. After standard purely implicit approximation in time and simple
linearization, we obtain a system of linear algebraic equations. Because the
size of freezing columns are substantially less than the size of the modeled
area, we obtain mesh refinement near columns. Due to this, we get a large
system of equations which are solved using high performance computing systems.Comment: 9 pages, 5 figure
Parallel Splitting and Decomposition Method for Computations of Heat Distribution in Permafrost
A mathematical model, numerical algorithm and program code for simulation and long-term forecasting of changes in permafrost as a result of operation of a multiple well pad of northern oil and gas field are presented. In the model the most significant climatic and physical factors are taken into account such as solar radiation, determined by specific geographical location, heterogeneous structure of frozen soil, thermal stabilization of soil, possible insulation of the objects, seasonal fluctuations in air temperature, and freezing and thawing of the upper soil layer. A parallel algorithm of decomposition with splitting by spatial variables is presented
CFD Applications in Energy Engineering Research and Simulation: An Introduction to Published Reviews
Computational Fluid Dynamics (CFD) has been firmly established as a fundamental
discipline to advancing research on energy engineering. The major progresses achieved during the
last two decades both on software modelling capabilities and hardware computing power have
resulted in considerable and widespread CFD interest among scientist and engineers. Numerical
modelling and simulation developments are increasingly contributing to the current state of the art in
many energy engineering aspects, such as power generation, combustion, wind energy, concentrated
solar power, hydro power, gas and steam turbines, fuel cells, and many others. This review intends to
provide an overview of the CFD applications in energy and thermal engineering, as a presentation and
background for the Special Issue “CFD Applications in Energy Engineering Research and Simulation”
published by Processes in 2020. A brief introduction to the most significant reviews that have been
published on the particular topics is provided. The objective is to provide an overview of the CFD
applications in energy and thermal engineering, highlighting the review papers published on the
different topics, so that readers can refer to the different review papers for a thorough revision of the
state of the art and contributions into the particular field of interest
Modeling, simulation, and optimization of geothermal energy production from hot sedimentary aquifers
Geothermal district heating development has been gaining momentum in Europe with numerous deep geothermal installations and projects currently under development. With the increasing density of geothermal wells, questions related to the optimal and sustainable reservoir exploitation become more and more important. A quantitative understanding of the complex thermo-hydraulic interaction between tightly deployed geothermal wells in heterogeneous temperature and permeability fields is key for a maximum sustainable use of geothermal resources. Motivated by the geological settings of the Upper Jurassic aquifer in the Greater Munich region, we develop a computational model based on finite element analysis and gradient-free optimization to simulate groundwater flow and heat transport in hot sedimentary aquifers, and investigate numerically the optimal positioning and spacing of multi-well systems. Based on our numerical simulations, net energy production from deep geothermal reservoirs in sedimentary basins by smart geothermal multi-well arrangements provides significant amounts of energy to meet heat demand in highly urbanized regions. Our results show that taking into account heterogeneous permeability structures and variable reservoir temperature may drastically affect the results in the optimal configuration. We demonstrate that the proposed numerical framework is able to efficiently handle generic geometrical and geologocal configurations, and can be thus flexibly used in the context of multi-variable optimization problems. Hence, this numerical framework can be used to assess the extractable geothermal energy from heterogeneous deep geothermal reservoirs by the optimized deployment of smart multi-well systems
The Grid Dependence of Well Inflow Performance in Reservoir Simulation
Imperial Users onl
Modeling, simulation, and optimization of geothermal energy production from hot sedimentary aquifers
Geothermal district heating development has been gaining momentum in Europe with numerous deep geothermal installations and projects currently under development. With the increasing density of geothermal wells, questions related to the optimal and sustainable reservoir exploitation become more and more important. A quantitative understanding of the complex thermo-hydraulic interaction between tightly deployed geothermal wells in heterogeneous temperature and permeability fields is key for a maximum sustainable use of geothermal resources. Motivated by the geological settings of the Upper Jurassic aquifer in the Greater Munich region, we develop a computational model based on finite element analysis and gradient-free optimization to simulate groundwater flow and heat transport in hot sedimentary aquifers, and investigate numerically the optimal positioning and spacing of multi-well systems. Based on our numerical simulations, net energy production from deep geothermal reservoirs in sedimentary basins by smart geothermal multi-well arrangements provides significant amounts of energy to meet heat demand in highly urbanized regions. Our results show that taking into account heterogeneous permeability structures and variable reservoir temperature may drastically affect the results in the optimal configuration. We demonstrate that the proposed numerical framework is able to efficiently handle generic geometrical and geologocal configurations, and can be thus flexibly used in the context of multi-variable optimization problems. Hence, this numerical framework can be used to assess the extractable geothermal energy from heterogeneous deep geothermal reservoirs by the optimized deployment of smart multi-well systems
Design of two-dimensional particle assemblies using isotropic pair interactions with an attractive well
Using ground-state and relative-entropy based inverse design strategies,
isotropic interactions with an attractive well are determined to stabilize and
promote as- sembly of particles into two-dimensional square, honeycomb, and
kagome lattices. The design rules inferred from these results are discussed and
validated in the dis- covery of interactions that favor assembly of the highly
open truncated-square and truncated-hexagonal lattices.Comment: 11 pages, 5 figures and supplemental materia
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