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Dive into the research topics where Lars Bilke is active.

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Featured researches published by Lars Bilke.


Environmental Earth Sciences | 2012

OpenGeoSys: an open-source initiative for numerical simulation of thermo-hydro-mechanical/chemical (THM/C) processes in porous media

Olaf Kolditz; Sebastian Bauer; Lars Bilke; Niels Böttcher; J.-O. Delfs; Thomas Fischer; Uwe-Jens Görke; Thomas Kalbacher; Georg Kosakowski; Christoper McDermott; Chan-Hee Park; Florin Radu; Karsten Rink; Hua Shao; Haibing Shao; Feng Sun; Yuanyuan Sun; Ashok Singh; Joshua Taron; Marc Walther; Wenqing Wang; Norihiro Watanabe; Yajie Wu; Mingliang Xie; W. Xu; Björn Zehner

In this paper we describe the OpenGeoSys (OGS) project, which is a scientific open-source initiative for numerical simulation of thermo-hydro-mechanical-chemical processes in porous media. The basic concept is to provide a flexible numerical framework (using primarily the Finite Element Method (FEM)) for solving multifield problems in porous and fractured media for applications in geoscience and hydrology. To this purpose OGS is based on an object-oriented FEM concept including a broad spectrum of interfaces for pre- and postprocessing. The OGS idea has been in development since the mid-eighties. We provide a short historical note about the continuous process of concept and software development having evolved through Fortran, C, and C++ implementations. The idea behind OGS is to provide an open platform to the community, outfitted with professional software-engineering tools such as platform-independent compiling and automated benchmarking. A comprehensive benchmarking book has been prepared for publication. Benchmarking has been proven to be a valuable tool for cooperation between different developer teams, for example, for code comparison and validation purposes (DEVOVALEX and CO2 BENCH projects). On one hand, object-orientation (OO) provides a suitable framework for distributed code development; however, the parallelization of OO codes still lacks efficiency. High-performance-computing efficiency of OO codes is subject to future research.


Environmental Earth Sciences | 2014

TESSIN VISLab—laboratory for scientific visualization

Lars Bilke; Thomas Fischer; Carolin Helbig; Charlotte M. Krawczyk; Thomas Nagel; Dmitri Naumov; Sebastian Paulick; Karsten Rink; Agnes Sachse; Sophie Schelenz; Marc Walther; Norihiro Watanabe; Björn Zehner; Jennifer Ziesch; Olaf Kolditz

Scientific visualization is an integral part of the modeling workflow, enabling researchers to understand complex or large data sets and simulation results. A high-resolution stereoscopic virtual reality (VR) environment further enhances the possibilities of visualization. Such an environment also allows collaboration in work groups including people of different backgrounds and to present results of research projects to stakeholders or the public. The requirements for the computing equipment driving the VR environment demand specialized software applications which can be run in a parallel fashion on a set of interconnected machines. Another challenge is to devise a useful data workflow from source data sets onto the display system. Therefore, we develop software applications like the OpenGeoSys Data Explorer, custom data conversion tools for established visualization packages such as ParaView and Visualization Toolkit as well as presentation and interaction techniques for 3D applications like Unity. We demonstrate our workflow by presenting visualization results for case studies from a broad range of applications. An outlook on how visualization techniques can be deeply integrated into the simulation process is given and future technical improvements such as a simplified hardware setup are outlined.


Environmental Earth Sciences | 2014

Visualisation strategies for environmental modelling data

Karsten Rink; Lars Bilke; Olaf Kolditz

We present a framework that allows users to apply a number of strategies to view and modify a wide range of environmental data sets for the modelling of natural phenomena. These data sets can be concurrently visualised to find inconsistencies or artefacts. This ensures at an early stage that models set up for the simulation of hydrological or thermal processes will not give implausible results due to complications based on input data. A number of generally applicable visualisation techniques are provided by our framework to help researchers detect potential problems. We also propose a number of mapping algorithms for the integration of multiple data sets to resolve some of the most common issues. Techniques for the presentation of input- and modelling data in combination with simulation results are proposed with respect to the benefits of visualisation of environmental data within specialised environments. The complete workflow from input data to presentation is demonstrated based on a case study in Central Germany. We identify typical problems, propose approaches for a suitable data integration for this case study and compare results of the original and modified data sets.


Environmental Earth Sciences | 2014

Assessing the saltwater remediation potential of a three-dimensional, heterogeneous, coastal aquifer system

Marc Walther; Lars Bilke; Jens-Olaf Delfs; Thomas Graf; Jens Grundmann; Olaf Kolditz; Rudolf Liedl

This paper evaluates the remediation potential of a salinized coastal aquifer by utilizing a scenario simulation. Therefore, the numerical model OpenGeoSys is first validated against analytical and experimental data to represent transient groundwater level development and variable density saline intrusion. Afterwards, a regional scale model with a three-dimensional, heterogeneous hydrogeology is calibrated for a transient state and used to simulate a best-case scenario. Water balances are evaluated in both the transient calibration and scenario run. Visualization techniques help to assess the complex model output providing valuable insight in the occurring density-driven flow processes. Furthermore, modeling and visualization results give information on the time scale for remediation activities and, due to limitations in data quality and quantity reveal potential for model improvement.


Environmental Earth Sciences | 2017

Energy storage in the geological subsurface: dimensioning, risk analysis and spatial planning: the ANGUS+ project

Alina Kabuth; Andreas Dahmke; Christof Beyer; Lars Bilke; Frank Dethlefsen; Peter Dietrich; Rainer Duttmann; Markus Ebert; Volker Feeser; Uwe-Jens Görke; Ralf Köber; Wolfgang Rabbel; Tom Schanz; Dirk Schäfer; Hilke Würdemann; Sebastian Bauer

New techniques and methods for energy storage are required for the transition to a renewable power supply, termed “Energiewende” in Germany. Energy storage in the geological subsurface provides large potential capacities to bridge temporal gaps between periods of production of solar or wind power and consumer demand and may also help to relieve the power grids. Storage options include storage of synthetic methane, hydrogen or compressed air in salt caverns or porous formations as well as heat storage in porous formations. In the ANGUS+ project, heat and gas storage in porous media and salt caverns and aspects of their use on subsurface spatial planning concepts are investigated. The optimal dimensioning of storage sites, the achievable charging and discharging rates and the effective storage capacity as well as the induced thermal, hydraulic, mechanical, geochemical and microbial effects are studied. The geological structures, the surface energy infrastructure and the governing processes are parameterized, using either literature data or own experimental studies. Numerical modeling tools are developed for the simulation of realistically defined synthetic storage scenarios. The feasible dimensioning of storage applications is assessed in site-specific numerical scenario analyses, and the related spatial extents and time scales of induced effects connected with the respective storage application are quantified. Additionally, geophysical monitoring methods, which allow for a better spatial resolution of the storage operation, induced effects or leakages, are evaluated based on these scenario simulations. Methods for the assessment of such subsurface geological storage sites are thus developed, which account for the spatial extension of the subsurface operation itself as well as its induced effects and the spatial requirements of adequate monitoring methods.


PLOS ONE | 2015

MEVA - An Interactive Visualization Application for Validation of Multifaceted Meteorological Data with Multiple 3D Devices

Carolin Helbig; Lars Bilke; Hans-Stefan Bauer; Michael Böttinger; Olaf Kolditz

Background To achieve more realistic simulations, meteorologists develop and use models with increasing spatial and temporal resolution. The analyzing, comparing, and visualizing of resulting simulations becomes more and more challenging due to the growing amounts and multifaceted character of the data. Various data sources, numerous variables and multiple simulations lead to a complex database. Although a variety of software exists suited for the visualization of meteorological data, none of them fulfills all of the typical domain-specific requirements: support for quasi-standard data formats and different grid types, standard visualization techniques for scalar and vector data, visualization of the context (e.g., topography) and other static data, support for multiple presentation devices used in modern sciences (e.g., virtual reality), a user-friendly interface, and suitability for cooperative work. Methods and Results Instead of attempting to develop yet another new visualization system to fulfill all possible needs in this application domain, our approach is to provide a flexible workflow that combines different existing state-of-the-art visualization software components in order to hide the complexity of 3D data visualization tools from the end user. To complete the workflow and to enable the domain scientists to interactively visualize their data without advanced skills in 3D visualization systems, we developed a lightweight custom visualization application (MEVA - multifaceted environmental data visualization application) that supports the most relevant visualization and interaction techniques and can be easily deployed. Specifically, our workflow combines a variety of different data abstraction methods provided by a state-of-the-art 3D visualization application with the interaction and presentation features of a computer-games engine. Our customized application includes solutions for the analysis of multirun data, specifically with respect to data uncertainty and differences between simulation runs. In an iterative development process, our easy-to-use application was developed in close cooperation with meteorologists and visualization experts. The usability of the application has been validated with user tests. We report on how this application supports the users to prove and disprove existing hypotheses and discover new insights. In addition, the application has been used at public events to communicate research results.


International Journal of Digital Earth | 2018

Virtual geographic environments for water pollution control

Karsten Rink; Cui Chen; Lars Bilke; Zhenliang Liao; Karsten Rinke; Marieke A. Frassl; Tianxiang Yue; Olaf Kolditz

ABSTRACT Due to extensive water pollution in Chinese rivers and lakes, large efforts have to be made to improve the quality of drinking water and manage the sewage water treatment process. We propose a general workflow for integrating a large number of heterogeneous data sets relating to various hydrological compartments into a Virtual Geographic Environment (VGE). This allows both researchers and stakeholders to easily access complex data collections in a unified context, find interrelations or inconsistencies between data sets and evaluate simulation results with respect to other observations or simulations in the same region. A prototype of such a VGE has been set up for the region around Chao Lake, containing more than 20 spatial data sets and collections as well as first simulation result. The prototype has been successfully presented to researchers and stakeholders from China and Germany.


Archive | 2015

Seismic and Sub-seismic Deformation Prediction in the Context of Geological Carbon Trapping and Storage

Charlotte M. Krawczyk; David C. Tanner; Andreas Henk; Henning Trappe; Jennifer Ziesch; Thies Beilecke; Chiara M. Aruffo; Bastian Weber; Andrea Lippmann; Uwe-Jens Görke; Lars Bilke; Olaf Kolditz

In the joint project PROTECT (PRediction Of deformation To Ensure Carbon Traps) we predicted and quantified the distribution and the amount of sub-/seismic strain in the proximity of the CO2 reservoir in the Otway Basin. Three approaches fill the sub-seismic space: seismic multi-attributes stabilized the interpretation of the 3-D depth model by imaging small lineaments; retro-deformation revealed in the seal ca. 3 % as highest strain magnitudes; numerical forward modelling shows that the minimum horizontal stress at reservoir is locally overprinted by faults. We calibrated our predictions with new near-surface reflection seismic measurements and used advanced visualization tools. Thus, this seismo-mechanical workflow reveals possible migration pathways, and as such provides a tool for prediction and adapted time-dependent monitoring for subsurface storage in general.


Environmental Earth Sciences | 2014

Rendering technique of multi-layered domain boundaries and its application to fluid flow in porous media visualizations

Dmitri Naumov; Lars Bilke; Olaf Kolditz

Current visualization techniques for computational fluid dynamics applications are sophisticated and work well in simple geometries. For complex geometries such as pore spaces, multiple domain boundaries obstruct the view and make the studying of fluid flow fields difficult. To overcome these deficiencies, we use two-sided materials to render the domain boundaries. Using this technique, it is possible to place the camera inside the domain and have a non-obstructed view of the surrounding flow field without losing spatial reference to the domain boundaries. As a result, a larger part of fluid flow visualization is visible. Two-sided material rendering was successfully applied to display still images with Blender Cycles renderer, in a virtual reality environment, and several implementation techniques were explored for using the Visualization Toolkit.


Archive | 2019

Virtual Geographical Environment-Based Environmental Information System for Poyang Lake Basin

Changqing Yan; Karsten Rink; Lars Bilke; Erik Nixdorf; Tianxiang Yue; Olaf Kolditz

With the rapid development of remote sensing, and earth observation technology, increasingly huge amount of geospatial data became available. These data enables the monitoring and evaluation of the environment and provides data source for numerous environment models, which in turn generate huge simulation results data. Utilization of both, remote sensing data and simulation results will be of great value for environmental related researchers, the public and local governments to support relevant research and environmental related decision- making processes. With these data, the government could establish the scientific rules for the exploitation and utilization of resources, to maintain the sustainable development of local economy and society. However, these data are heterogeneous and complex, exist in a variety of formats and is difficult to understand and analyze. Therefore, it is essential to build a system, which can integrate these data in a unified context, combine the relevant data sets, and present these data in an intuitive way.

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Dive into the Lars Bilke's collaboration.

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Olaf Kolditz

Helmholtz Centre for Environmental Research - UFZ

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Karsten Rink

Helmholtz Centre for Environmental Research - UFZ

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Marc Walther

Helmholtz Centre for Environmental Research - UFZ

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Norihiro Watanabe

Helmholtz Centre for Environmental Research - UFZ

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Uwe-Jens Görke

Helmholtz Centre for Environmental Research - UFZ

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Carolin Helbig

Helmholtz Centre for Environmental Research - UFZ

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Feng Sun

Helmholtz Centre for Environmental Research - UFZ

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Haibing Shao

Helmholtz Centre for Environmental Research - UFZ

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J.-O. Delfs

Helmholtz Centre for Environmental Research - UFZ

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Jens Grundmann

Dresden University of Technology

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