Searched for: author:"Jansen, J.D."
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Jesus de Moraes, R. (author), Fonseca, Rahul Mark (author), Helici, Mircea A. (author), Heemink, A.W. (author), Jansen, J.D. (author)
We present an efficient workflow that combines multiscale (MS) forward simulation and stochastic gradient computation - MS-StoSAG - for the optimization of well controls applied to waterflooding under geological uncertainty. A two-stage iterative Multiscale Finite Volume (i-MSFV), a mass conservative reservoir simulation strategy, is employed as...
journal article 2019
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Jansen, J.D. (author)
This ‘white paper’ proposes to develop a data-informed operational system to forecast induced seismicity, and the associated seismic hazard in the Groningen natural gas field. The goals of developing and maintaining such an Operational Earthquake Forecasting System (OEFS) are 1) to provide a unified environment to test and align research efforts...
report 2018
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Diaz Cortes, G.B. (author), Vuik, C. (author), Jansen, J.D. (author)
We study fast and robust iterative solvers for large systems of linear equations resulting from simulation of flow trough strongly heterogeneous porous media. We propose the use of preconditioning and deflation techniques, based on information obtained frfrom the system, to reduce the time spent in the solution of the linear system.An important...
journal article 2018
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Diaz Cortes, G.B. (author), Jansen, J.D. (author), Vuik, C. (author)
We explore and develop POD-based deflation methods to accelerate the solution of large-scale linear systems resulting from two-phase flow simulation. The techniques here presented collect information from the system in a POD basis, which is later used in a deflation scheme. The snapshots required to obtain the POD basis are captured in two ways:...
conference paper 2018
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Fonseca, R. M. (author), Della Rossa, E (author), Emerick, A. A. (author), Hanea, R. G. (author), Jansen, J.D. (author)
Since the early 2000's there has been a significant focus from many groups around the world towards the development and application of innovative technologies in order to improve reservoir management strategies and optimize field development plans. Benchmark studies are a very valuable way of evaluating and demonstrating the status and...
conference paper 2018
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van der Meer, J.M. (author), Farajzadeh, R. (author), Rossen, W.R. (author), Jansen, J.D. (author)
Accurate field-scale simulations of foam enhanced oil recovery are challenging, due to the sharp transition between gas and foam. Hence, unpredictable numerical and physical behavior is often observed, casting doubt on the validity of the simulation results. In this paper, a thorough stability analysis of the foam model is presented to validate...
journal article 2018
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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 down/upscaling of the data and/or the simulation model can be used, but with potential loss of...
conference paper 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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Postma, Tom (author), Jansen, J.D. (author)
Over the past decade, a steep increase in the number of seismic events has been observed in the Groningen gas field, the Netherlands. It is generally accepted that these are induced by compaction of the reservoir rock due to extensive depletion, causing a buildup of strain energy in faults that may be released seismically. We address the...
journal article 2018
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Hajibeygi, H. (author), Jansen, J.D. (author), Leeuwenburgh, O. (author), Voskov, D.V. (author)
contribution to periodical 2017
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Fatemi, S.A. (author), Jansen, J.D. (author), Rossen, W.R. (author)
An enhanced-oil-recovery (EOR) pilot test has multiple goals, among them to demonstrate oil recovery, verify the properties of the EOR agent in-situ, and provide the information needed for scale-up to an economic process. Given the complexity of EOR processes and the inherent uncertainty in the reservoir description, it is a challenge to...
journal article 2017
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Insuasty, Edwin (author), van den Hof, P.M.J. (author), Weiland, Siep (author), Jansen, J.D. (author)
In reservoir engineering, it is attractive to characterize the difference between reservoir models in metrics that relate to the economic performance of the reservoir as well as to the underlying geological structure. In this paper, we develop a dissimilarity measure that is based on reservoir flow patterns under a particular operational...
journal article 2017
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Siraj, M.M. (author), van den Hof, P.M.J. (author), Jansen, J.D. (author)
Model-based dynamic optimization of the water-flooding process in oil reservoirs is a computationally complex problem and suffers from high levels of uncertainty. A traditional way of quantifying uncertainty in robust water-flooding optimization is by considering an ensemble of uncertain model realizations. These models are generally not...
conference paper 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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Benndorf, J. (author), Jansen, J.D. (author)
Advanced data acquisition and process modelling technology provide ‘real-time’ data and decision support capacity for different aspects of the resource extraction process. Closed-loop approaches have recently been applied to utilize information extracted from these data in combination with advanced computing technology for improved production...
journal article 2017
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Jesus de Moraes, R. (author), Rodrigues, J. R.P. (author), Hajibeygi, H. (author), Jansen, J.D. (author)
A multiscale gradient computation method for multiphase flow in heterogeneous porous media is developed. The method constructs multiscale primal and dual coarse grids, imposed on the given fine-scale computational grid. Local multiscale basis functions are computed on (dual-) coarse blocks, constructing an accurate map (prolongation operator)...
conference paper 2017
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Maas, T. R. (author), Bouts, M. N. (author), Joosten, G. J P (author), Jansen, J.D. (author)
When new wells are planned, typically the same trajectory is used for assessing the effectiveness of conventional wells and wells with smart completions. This study demonstrates that the economically optimized trajectory for smart and conventional wells can be very different. Two new well trajectory optimization algorithms were developed...
conference paper 2017
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Siraj, M.M. (author), van den Hof, P.M.J. (author), Jansen, J.D. (author)
Model-based economic optimization of oil production has a significant scope to increase financial life-cycle performance. The net-present-value (NPV) objective in this optimization, because of its nature, focuses on long-term gains, whereas short-term production is not explicitly addressed. At the same time, the achievable NPV is highly...
journal article 2017
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Jesus de Moraes, R. (author), Fonseca, R.M. (author), Helici, M. (author), Heemink, A.W. (author), Jansen, J.D. (author)
In this work, the application of tensor methodologies for computer-assisted history matching of channelized reservoirs is explored. A tensor-based approach is used for the parameterization of petrophysical parameters to reduce the dimensionality of the parameter estimation problem. Building on the work of Afra and Gildin (2013); Afra et.al. ...
conference paper 2017
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Insuasty, E (author), van den Hof, P.M.J. (author), Weiland, S (author), Jansen, J.D. (author)
In this work, the application of tensor methodologies for computer-assisted history matching of channelized reservoirs is explored. A tensor-based approach is used for the parameterization of petrophysical parameters to reduce the dimensionality of the parameter estimation problem. Building on the work of Afra and Gildin (2013); Afra et.al. ...
conference paper 2017
Searched for: author:"Jansen, J.D."
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