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Tian, X. (author), Volkov, Oleg (author), Voskov, D.V. (author)In this study, we present an efficient and flexible adjoint-based framework for history matching and forecasting geothermal energy extraction at a large scale. In this framework, we applied the Principal Component Analysis to reduce the parameter space for representing the complex geological model. The adjoint method is implemented for...journal article 2024
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Li, X. (author)This thesis contributes to the effective and efficient application of unsteady adjoint methods to Adaptive Mesh Refinement (AMR) for Large Eddy Simulation (LES). Three aspects, i.e., subgrid-scale model error, storage cost of high-dimensional data, and stability of the adjoint problem for turbulent flows, were studied to make adjoint-based mesh...doctoral thesis 2023
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Tian, X. (author)This study investigates the application of inverse modeling in numerical geo-energy scenarios such as petroleum, geothermal, and CCS projects. The study aims to enhance model accuracy and predictive capabilities for real-world applications. The focus lies on the implementation of the inverse modeling framework within the open-source simulator...doctoral thesis 2023
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Li, X. (author), Hulshoff, S.J. (author), Hickel, S. (author)Adaptive mesh refinement (AMR) is potentially an effective way to automatically generate computational meshes for high-fidelity simulations such as Large Eddy Simulation (LES). Adjoint methods, which are able to localize error contributions, can be used to optimize the mesh for computing a physical quantity of interest (e.g. lift, drag)...journal article 2021
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Li, X. (author), Hulshoff, S.J. (author), Hickel, S. (author)Adaptive Mesh Refinement (AMR) is potentially an effective way to automatically generate computational meshes for high-fidelity simulations such as Large Eddy Simulation (LES). When combined with adjoint methods, which are able to localize error contributions, AMR can generate meshes that are optimal for computing a physical quantity of...journal article 2021
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Pini, M. (author), Azzini, L. (author), Vitale, S. (author), Colonna, Piero (author)This paper presents a fully turbulent two-phase discrete adjoint method for metastable condensing flows targeted to turbomachinery applications. The method is based on a duality preserving algorithm and implemented in the open-source CFD tool SU2. The optimization framework is applied to the shape optimization of two canonical steam turbine...journal article 2020
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Jesus de Moraes, R. (author), Hajibeygi, H. (author), Jansen, J.D. (author)In data assimilation problems, various types of data are naturally linked to different spatial resolutions (e.g., seismic and electromagnetic data), and these scales are usually not coincident to the subsurface simulation model scale. Alternatives like upscaling/downscaling of the data and/or the simulation model can be used, but with...journal article 2020
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Codrignani, A. (author), Savio, D. (author), Pastewka, L. (author), Frohnapfel, B. (author), van Ostayen, R.A.J. (author)In this work we assess the applicability of the adjoint optimization technique for determining optimal surface topographies of two surfaces in relative motion in presence of a thin lubricant films that can cavitate. Among the existing numerical tools for topology optimization in engineering problems, the adjoint method represents a promising...journal article 2020
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Rubino, A. (author)The need to meet the increasingly demanding sustainability goals entails remarkable new challenges for technical innovation. Due to the crucial role of turbomachinery in present and future energy scenarios, advancements in turbomachinery performance by means of design methods represent a fundamental step towards global sustainable development....doctoral thesis 2019
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Jesus de Moraes, R. (author), de Zeeuw, W. (author), R. P. Rodrigues, José (author), Hajibeygi, H. (author), Jansen, J.D. (author)We introduce a semi-analytical iterative multiscale derivative computation methodology that allows for error control and reduction to any desired accuracy, up to fine-scale precision. The model responses are computed by the multiscale forward simulation of flow in heterogeneous porous media. The derivative computation method is based on the...journal article 2019
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Jesus de Moraes, R. (author)The exploitation of subsurface resources is, inevitably, surrounded by uncertainty. Limited knowledge on the economical, operational, and geological setting are just a few instances of sources of uncertainty. From the geological point of view, the currently available technology is not able to provide the description of the fluids and rock...doctoral thesis 2018
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Florentie, L. (author)Vortex generators (VGs) are awidespread means of passive flowcontrol, capable of yielding significant performance improvements to lift-generating surfaces (e.g. wind-turbine blades and airplane wings), by delaying boundary-layer separation. These small vanetype structures, which are typically arranged in arrays, trigger the formation of small...doctoral thesis 2018
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Jesus de Moraes, R. (author), Rodrigues, José R.P. (author), Hajibeygi, H. (author), Jansen, J.D. (author)A generic framework for the computation of derivative information required for gradient-based optimization using sequentially coupled subsurface simulation models is presented. The proposed approach allows for the computation of any derivative information with no modification of the mathematical framework. It only requires the forward model...journal article 2018
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Florentie, L. (author), Hulshoff, S.J. (author), van Zuijlen, A.H. (author)An optimization approach is presented that can be used to find the optimal source term distribution in order to represent a high-fidelity vortex-generator (VG) induced flow field on a coarse mesh. The ap- proach employs the continuous adjoint of the problem, from which an exact sensitivity is calculated and used in combination with a trust...journal article 2017
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Wang, Z. (author), Turteltaub, S.R. (author), Abdalla, M.M. (author)This work is concerned with the development of a framework to solve shape optimization problems for transient heat conduction problems within the context of isogeometric analysis (IGA). A general objective functional is used to accommodate both shape optimization and passive control problems under transient conditions. An adjoint sensitivity...journal article 2017
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Jesus de Moraes, R. (author), Rodrigues, José R P (author), Hajibeygi, H. (author), Jansen, J.D. (author)An efficient multiscale (MS) gradient computation method for subsurface flow management and optimization is introduced. The general, algebraic framework allows for the calculation of gradients using both the Direct and Adjoint derivative methods. The framework also allows for the utilization of any MS formulation that can be algebraically...journal article 2017
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Frederik, J.A. (author)Renewable energy is becoming more and more important in today's society. Wind energy plays an important role in the production of renewable energy. Due to economic advantages, wind turbines are often sited close together, creating wind farms. As a result, the wind turbines in the farm become interconnected due to the wakes of the turbines. In...master thesis 2017
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Wang, Z.P. (author)The recently developed isogeometric analysis (IGA) was aimed, from the start, at integrating computer aided design (CAD) and analysis. This synthesis of geometry and analysis has naturally led to renewed interest in developing structural shape optimization. The advantages of using isogeometric analysis in shape optimization are embodied in its...doctoral thesis 2016
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Farshbaf Zinati, F. (author)Recent developments in the deployment of distributed fiber-optic sensing systems in horizontal wells carry the promise to lead to a new, cheap and reliable way of monitoring production and reservoir performance. Practical applicability of distributed pressure sensing for quantitative inflow detection will strongly depend on the specifications of...doctoral thesis 2014
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Gilli, L. (author)This thesis presents the development and the implementation of an uncertainty propagation algorithm based on the concept of spectral expansion. The first part of the thesis is dedicated to the study of uncertainty propagation methodologies and to the analysis of spectral techniques. The concepts introduced within this preliminary analysis are...doctoral thesis 2013
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