Searched for: contributor%3A%22Jansen%2C+J.D.+%28promotor%29%22
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Shokrollahzadeh Behbahani, S. (author)
Induced seismicity refers to seismic events (earthquakes) triggered by human activities. Such events, even when characterized by relatively modest magnitudes, have the potential to jeopardize the safety of individuals, the surrounding environment, and infrastructure. <br/><br/>Production from hydrocarbon reservoirs can alter the in-situ stress...
doctoral thesis 2024
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Novikov, A. (author)
Safe and sustainable exploitation of geo-energy resources requires not only a comprehensive evaluation of the performance and economics of the corresponding projects but also the assessments of the associated risks, including the risk of induced seismicity. Indeed, seismic events may arise from the reactivation of natural faults and fractures...
doctoral thesis 2024
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Diab Montero, H.A. (author)
In this dissertation, I explore ensemble data assimilation methods to enhance our capability to forecast earthquakes and slow slip events, focusing on the critical challenge posed by limited information on the current stress state of faults. <br/>At the outset, the research acknowledges the inherent limitations in our current understanding of...
doctoral thesis 2024
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Ramesh Kumar, K. (author)
With the rise of renewable energy and the drive to achieve net-zero emissions, energy storage has become a crucial component of the energy sector to address the challenges of intermittency. The vast subsurface environment offers significant storage potential, capable of accommodating terawatt-hour (TWh) capacities. One approach to leverage this...
doctoral thesis 2023
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van Duijvenbode, J.R. (author)
To extract raw materials responsibly and sustainably, the minerals industry has to continuously optimise the mine-to-metal process and requires an entirely different valuation model. Currently, most operational decisions (e.g., ore-waste boundaries, short-term scheduling, blending policies, dispatch decisions) are evaluated using a revenue-based...
doctoral thesis 2023
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Desta, F.S. (author)
The rising demands for mined products lead to the extraction of materials in geologically complex regions. This calls for mining process changes and interventions driven by technology and advanced data analytics. The dynamic development of state-of-the-art sensor technologies and their potential use in mining is projected to significantly reduce...
doctoral thesis 2021
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Khait, M. (author)
Numerical simulation is based on space and time discretization providing a trade-off between accuracy and computational performance. The operator-based Linearization (OBL) approach introduces an additional discretization domain for the physical description of fluid and rock. Delft Advanced Research Terra Simulator (DARTS) is a general-purpose...
doctoral thesis 2019
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Guatame-Garcia, Adriana (author)
Industrial minerals are essential to human activity. The products derived from them make an integral part of a wide range of materials that are ubiquitously present in our daily lives. The performance and attributes of these materials depend significantly on the properties and quality of the industrial minerals and the products generated from...
doctoral thesis 2019
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Diaz Cortes, G.B. (author)
Simulation of flow through highly heterogeneous porous media results in large ill-conditioned systems of equations. In particular, solving the linearized pressure system can be especially time-consuming. Therefore, extensive efforts to find ways to address this issue effectively are required. In this work, we introduce a POD-based deflation...
doctoral thesis 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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Dalm, M. (author)
Sensor-based particle-by-particle sorting is a technique in which singular particles are mechanically separated on certain physical and/or chemical properties after determining these properties with a sensor. Sensor-based sorting machines can be incorporated into mineral processing operations in order to remove waste or sub-economic ore prior to...
doctoral thesis 2018
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Tene, M. (author)
Despite welcome increases in the adoption of renewable energy sources, oil and natural gas are likely to remain the main ingredient in the global energy diet for the decades to come. Therefore, the efficient exploitation of existing suburface reserves is essential for the well-being of society. This has stimulated recent developments in computer...
doctoral thesis 2018
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Soleymani Shishvan, M. (author)
doctoral thesis 2018
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Wambeke, T. (author)
Declining ore grades, extraction at greater depths and longer hauling distances put pressure on maturing mines. Not enough new mines will be commissioned on time to compensate for the resulting shortages. Ore-body replacement rates are relatively low due to a reduced appetite for exploration. Development times are generally increasing and most...
doctoral thesis 2018
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van der Meer, J.M. (author)
If secondary hydrocarbon recovery methods, like water flooding, fail because of the occurrence of viscous fingering one can turn to an enhanced oil recovery method (EOR) like the injection of foam. The generation of foam in a porousmedium can be described by a set of partial differential equations with strongly non-linear functions, which impose...
doctoral thesis 2018
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Goncalves Dias De Barros, E. (author)
Over the past decades, many technological advances have unlocked new opportunities to boost efficiency in the oil and gas industry (e.g., complex well drilling, injection of advanced chemicals, sophisticated instrumentation). The real engineering challenge is to apply these technologies in the best possible way for each particular case. This...
doctoral thesis 2018
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Yuksel-Pelk, C. (author)
In mining, modelling of the deposit geology is the basis for many actions to be taken in the future, such as predictions of quality attributes, mineral resources and ore reserves, as well as mine design and long-term production planning. The essential knowledge about the raw materialproduct is based on this model-based prediction, which comes...
doctoral thesis 2017
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Kahrobaei, S.S. (author)
doctoral thesis 2016
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Fonseca, R.M. (author)
In this dissertation we have investigated theoretical and numerical aspects of the Ensemble Optimization (EnOpt) technique for model based production optimization. We have proposed a modified gradient formulation for robust optimization which we show to be theoretically more robust than the earlier existing formulation. Through a series of...
doctoral thesis 2015
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Van Essen, G.M. (author)
The process of depleting an oil reservoir can be poured into an optimal control problem with the objective to maximize economic performance over the life of the ?eld. Despite its large potential, life-cycle optimization has not yet found its way into operational environments. The objective of this thesis is to improve operational applicability...
doctoral thesis 2015
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