Seismic volume visualization for horizon extraction

Patel, Daniel; Brückner, Stefan; Viola, Ivan; Gröller, Eduard

doi:10.1109/pacificvis.2010.5429605

Cited by 26 publications

(13 citation statements)

References 27 publications

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“…As a first step, we load a given seismic volume and a set of horizons automatically extracted from this volume (Patel et al 2010). The datasets are then pre-processed (i.e.…”

Section: Example 1: Interactive and Intuitive Geometric And Topologicmentioning

confidence: 99%

Scalable and interactive visual computing in geosciences and reservoir engineering

Sousa

Brazil

Sharlin

2014

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Visual computing technologies enable more intuitive data modelling, visualization and analysis, facilitating these processes by real-time interactive visual interfaces. These technologies are essential for software in the oil and gas industry, allowing users to gain insights and actionable information when dealing with increasingly complex, multidisciplinary datasets and processes. In the context of the oil and gas industry, interactive visual computing should also scale well with the growing data size and other components of a data analytics pipeline. We present key problems and challenges motivating the research and development of scalable and interactive visual computing systems, followed by a classification of the most important research themes and related topics. Eleven case studies developed with the industry are also presented, highlighting the main cutting edge findings, limitations and achievements.

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“…As a first step, we load a given seismic volume and a set of horizons automatically extracted from this volume (Patel et al 2010). The datasets are then pre-processed (i.e.…”

Section: Example 1: Interactive and Intuitive Geometric And Topologicmentioning

confidence: 99%

Scalable and interactive visual computing in geosciences and reservoir engineering

Sousa

Brazil

Sharlin

2014

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“…Many visual analytic systems and visualization techniques applied to reservoir geoscience and engineering have been developed through the recent years [4][5][6][7]. Although these tools assist people in their decision making process, there is still lack of visual analytic systems of geophysical data in the microseismic domain.…”

Section: Related Workmentioning

confidence: 99%

FractVis: Visualizing Microseismic Events

Mostafa

Carpendale

Brazil

et al. 2013

Advances in Visual Computing

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Abstract. We present our efforts of applying information visualization techniques to the domain of microseismic monitoring. Microseismic monitoring is a crucial process for a number of tasks related to oil and gas reservoir development, e.g., optimizing hydraulic fracturing operations and heavy-oil stimulation. Microseismic data has many challenging features including high dimensionality and uncertainty. We present a brief introduction to the domain of microseismic monitoring, and derive a set of tasks and data abstractions that can establish common ground between microseismic monitoring domain experts and visualization researchers. We then present FractVis, a prototype for visual analysis of microseismic data, describing the ongoing process of iteratively refining FractVis through close collaboration and consultation with domain experts. FractVis is designed to offer microseismic monitoring experts with visual analytic tools that allow investigation of the 3D spatial distribution of microseismic events, time-varying analysis and interactive exploration of high-dimensional parameter spaces, extensively complementing the existing tools in their disposal.

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“…Patel et al [15] present an interactive workflow for horizon extraction. In a pre-processing step, they compute a hierarchy of possible surface patches, which the user can then interactively put together to create the horizon surfaces.…”

Section: Related Workmentioning

confidence: 99%

“…They give an overview of the special demands for visualization of seismic data and demonstrate the advantages of ray casting compared to slicing approaches for direct volume rendering of seismic data. Patel et al [15] present a volume rendering technique that employs gradient-free shading. They argue that local ambient occlusion as presented by Ropinski et al [18], a common gradient-free shading approach, is not a good fit for seismic data.…”

Section: Related Workmentioning

confidence: 99%

SeiVis: An Interactive Visual Subsurface Modeling Application

Höllt¹,

Freiler

Gschwantner

et al. 2012

IEEE Trans. Visual. Comput. Graphics

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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.

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Seismic volume visualization for horizon extraction

Cited by 26 publications

References 27 publications

Scalable and interactive visual computing in geosciences and reservoir engineering

Scalable and interactive visual computing in geosciences and reservoir engineering

FractVis: Visualizing Microseismic Events

SeiVis: An Interactive Visual Subsurface Modeling Application

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