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Hollt T.,King Abdullah University of Science and Technology | Beyer J.,King Abdullah University of Science and Technology | Gschwantner F.,is Research Center | Muigg P.,SimVis GmbH | And 3 more authors.
IEEE Pacific Visualization Symposium 2011, PacificVis 2011 - Proceedings | Year: 2011

Increasing demands in world-wide energy consumption and oil depletion of large reservoirs have resulted in the need for exploring smaller and more complex oil reservoirs. Planning of the reservoir valorization usually starts with creating a model of the subsurface structures, including seismic faults and horizons. However, seismic interpretation and horizon tracing is a difficult and error-prone task, often resulting in hours of work needing to be manually repeated. In this paper, we propose a novel, interactive workflow for horizon interpretation based on well positions, which include additional geological and geophysical data captured by actual drillings. Instead of interpreting the volume slice-by-slice in 2D, we propose 3D seismic interpretation based on well positions. We introduce a combination of 2D and 3D minimal cost path and minimal cost surface tracing for extracting horizons with very little user input. By processing the volume based on well positions rather than slice-based, we are able to create a piecewise optimal horizon surface at interactive rates. We have integrated our system into a visual analysis platform which supports multiple linked views for fast verification, exploration and analysis of the extracted horizons. The system is currently being evaluated by our collaborating domain experts. © 2011 IEEE.


Hollt T.,King Abdullah University of Science and Technology | Freiler W.,SimVis GmbH | Gschwantner F.-M.,is Research Center | Doleisch H.,SimVis GmbH | And 2 more authors.
IEEE Transactions on Visualization and Computer Graphics | Year: 2012

The most important resources to fulfill today’s energy demands are fossil fuels, such as oil and natural gas. When exploiting hydrocarbon reservoirs, a detailed and credible model of the subsurface structures is crucial in order to minimize economic and ecological risks. Creating such a model is an inverse problem: reconstructing structures from measured reflection seismics. The major challenge here is twofold: First, the structures in highly ambiguous seismic data are interpreted in the time domain. Second, a velocity model has to be built from this interpretation to match the model to depth measurements from wells. If it is not possible to obtain a match at all positions, the interpretation has to be updated, going back to the first step. This results in a lengthy back and forth between the different steps, or in an unphysical velocity model in many cases. This paper presents a novel, integrated approach to interactively creating subsurface models from reflection seismics. It integrates the interpretation of the seismic data using an interactive horizon extraction technique based on piecewise global optimization with velocity modeling. Computing and visualizing the effects of changes to the interpretation and velocity model on the depth-converted model on the fly enables an integrated feedback loop that enables a completely new connection of the seismic data in time domain and well data in depth domain. Using a novel joint time/depth visualization, depicting side-by-side views of the original and the resulting depth-converted data, domain experts can directly fit their interpretation in time domain to spatial ground truth data. We have conducted a domain expert evaluation, which illustrates that the presented workflow enables the creation of exact subsurface models much more rapidly than previous approaches. © 2012 IEEE.


News Article | August 22, 2016
Site: www.rdmag.com

Cataracts, a common condition related to aging where the lens of a person’s eye clouds up, affecting vision, can occur due to a variety of reasons like long periods of sunlight exposure or diseases, such as diabetes. Tools like new eyeglasses or brighter lighting could help with the early symptoms of cataracts, according to the National Eye Institute, but surgery to remove the lens and replace it with an artificial one becomes necessary if the aforementioned solutions don’t work. Researchers in Spain have created a hand-held device called SimVis to assist those individuals who need to undergo surgery in selecting the best artificial lens. "Currently, the decision on which intraocular lens is implanted during cataract surgery is typically based on the explanations and experience of the surgeon," said Carlos Dorronsoro, Ph.D., first author of the paper and a research scientist at Spain’s Institute of Optics, CSIC, in a statement. "But it is difficult for patients to imagine the new visual experience provided by some of these lenses, therefore, it is very difficult to make the decision." SimVis stands for simultaneous vision simulator where users simply need to stare through the prototype to see how different types of implanted lenses could impact their vision, per The Optical Society’s announcement. A test trial of the device focused on nine volunteers who compared seven different lenses. An optoelectronic tunable lens built into the model morphs in response to an electrical charge. Participants in this experiment looked at a smartphone, laptop, poster and tablet along with text and eye charts letting the scientists know which lens they preferred. “The favored or rejected lenses were different for different testers, suggesting the need for this kind of simulation prior to surgery to customize the selection of lenses according to patient requirements," added Dorronsoro noting the clinical applications of the SimVis could help meet the subjective needs and personal preferences of patients before they undergo the procedure. Next, the team is working on a version of the SimVis structured like a binocular that will be lighter and have a wider field of view. The paper discussing this device was published in the journal Optica.


Muigg P.,Vienna University of Technology | Muigg P.,SimVis GmbH | Hadwiger M.,King Abdullah University of Science and Technology | Doleisch H.,SimVis GmbH | Groller E.,Vienna University of Technology
IEEE Transactions on Visualization and Computer Graphics | Year: 2011

This paper presents a novel framework for visualizing volumetric data specified on complex polyhedral grids, without the need to perform any kind of a priori tetrahedralization. These grids are composed of polyhedra that often are non-convex and have an arbitrary number of faces, where the faces can be non-planar with an arbitrary number of vertices. The importance of such grids in state-of-the-art simulation packages is increasing rapidly. We propose a very compact, face-based data structure for representing such meshes for visualization, called two-sided face sequence lists (TSFSL), as well as an algorithm for direct GPU-based ray-casting using this representation. The TSFSL data structure is able to represent the entire mesh topology in a 1D TSFSL data array of face records, which facilitates the use of efficient 1D texture accesses for visualization. In order to scale to large data sizes, we employ a mesh decomposition into bricks that can be handled independently, where each brick is then composed of its own TSFSL array. This bricking enables memory savings and performance improvements for large meshes. We illustrate the feasibility of our approach with real-world application results, by visualizing highly complex polyhedral data from commercial state-of-the-art simulation packages. © 2011 IEEE.


Kehrer J.,University of Bergen | Muigg P.,Vienna University of Technology | Doleisch H.,SimVis GmbH | Hauser H.,University of Bergen
IEEE Transactions on Visualization and Computer Graphics | Year: 2011

We present a systematic approach to the interactive visual analysis of heterogeneous scientific data. The data consist of two interrelated parts given on spatial grids over time (e.g., atmosphere and ocean part from a coupled climate model). By integrating both data parts in a framework of coordinated multiple views (with linking and brushing), the joint investigation of features across the data parts is enabled. An interface is constructed between the data parts that specifies 1) which grid cells in one part are related to grid cells in the other part, and vice versa, 2) how selections (in terms of feature extraction via brushing) are transferred between the two parts, and 3) how an update mechanism keeps the feature specification in both data parts consistent during the analysis. We also propose strategies for visual analysis that result in an iterative refinement of features specified across both data parts. Our approach is demonstrated in the context of a complex simulation of fluid-structure interaction and a multirun climate simulation. © 2011 IEEE.


Muigg P.,Vienna University of Technology | Muigg P.,SimVis GmbH | Hadwiger M.,King Abdullah University of Science and Technology | Doleisch H.,SimVis GmbH | Groller E.,Vienna University of Technology
Computer Graphics Forum | Year: 2011

Displaying a large number of lines within a limited amount of screen space is a task that is common to many different classes of visualization techniques such as time-series visualizations, parallel coordinates, link-node diagrams, and phase-space diagrams. This paper addresses the challenging problems of cluttering and overdraw inherent to such visualizations. We generate a 2x2 tensor field during line rasterization that encodes the distribution of line orientations through each image pixel. Anisotropic diffusion of a noise texture is then used to generate a dense, coherent visualization of line orientation. In order to represent features of different scales, we employ a multi-resolution representation of the tensor field. The resulting technique can easily be applied to a wide variety of line-based visualizations. We demonstrate this for parallel coordinates, a time-series visualization, and a phase-space diagram. Furthermore, we demonstrate how to integrate a focus+context approach by incorporating a second tensor field. Our approach achieves interactive rendering performance for large data sets containing millions of data items, due to its image-based nature and ease of implementation on GPUs. Simulation results from computational fluid dynamics are used to evaluate the performance and usefulness of the proposed method. © 2011 The Author(s).


Ladstadter F.,University of Graz | Steiner A.K.,University of Graz | Lackner B.C.,University of Graz | Pirscher B.,University of Graz | And 5 more authors.
Journal of Atmospheric and Oceanic Technology | Year: 2010

In atmospheric and climate research, the increasing amount of data available from climate models and observations provides new challenges for data analysis. The authors present interactive visual exploration as an innovative approach to handle large datasets. Visual exploration does not require any previous knowledge about the data, as is usually the case with classical statistics. It facilitates iterative and interactive browsing of the parameter space to quickly understand the data characteristics, to identify deficiencies, to easily focus on interesting features, and to come up with new hypotheses about the data. These properties extend the common statistical treatment of data, and provide a fundamentally different approach. The authors demonstrate the potential of this technology by exploring atmospheric climate data from different sources including reanalysis datasets, climate models, and radio occultation satellite data. Results are compared to those from classical statistics, revealing the complementary advantages of visual exploration. Combining both the analytical precision of classical statistics and the holistic power of interactive visual exploration, the usual workflow of studying climate data can be enhanced. © 2010 American Meteorological Society.


Doleisch H.,SimVis GmbH | Hauser H.,University of Bergen
Computing in Science and Engineering | Year: 2012

The interactive visual exploration of large and complex simulation datasets has become an important methodology that improves data analysis for scientists and professional practitioners. © 2006 IEEE.


Oeltze S.,Otto Von Guericke University of Magdeburg | Freiler W.,SimVis GmbH | Hillert R.,Otto Von Guericke University of Magdeburg | Doleisch H.,SimVis GmbH | And 2 more authors.
IEEE Transactions on Visualization and Computer Graphics | Year: 2011

In Toponomics, the function protein pattern in cells or tissue (the toponome) is imaged and analyzed for applications in toxicology, new drug development and patient-drug-interaction. The most advanced imaging technique is robot-driven multi-parameter fluorescence microscopy. This technique is capable of co-mapping hundreds of proteins and their distribution and assembly in protein clusters across a cell or tissue sample by running cycles of fluorescence tagging with monoclonal antibodies or other affinity reagents, imaging, and bleaching in situ. The imaging results in complex multi-parameter data composed of one slice or a 3D volume per affinity reagent. Biologists are particularly interested in the localization of co-occurring proteins, the frequency of co-occurrence and the distribution of co-occurring proteins across the cell. We present an interactive visual analysis approach for the evaluation of multi-parameter fluorescence microscopy data in toponomics. Multiple, linked views facilitate the definition of features by brushing multiple dimensions. The feature specification result is linked to all views establishing a focus+context visualization in 3D. In a new attribute view, we integrate techniques from graph visualization. Each node in the graph represents an affinity reagent while each edge represents two co-occurring affinity reagent bindings. The graph visualization is enhanced by glyphs which encode specific properties of the binding. The graph view is equipped with brushing facilities. By brushing in the spatial and attribute domain, the biologist achieves a better understanding of the function protein patterns of a cell. Furthermore, an interactive table view is integrated which summarizes unique fluorescence patterns. We discuss our approach with respect to a cell probe containing lymphocytes and a prostate tissue section. © 2011 IEEE.

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