Multiresolution visualization of massive black oil reservoir models

Abraham, Frederico; Celes, Waldemar

doi:10.1007/s00371-019-01674-x

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…Multiresolution representations are achieved by computing iteratively simplified meshes using various techniques [16], [17], [18] and encoding them in a data structure that fits the specific application. There has also been work in mesh simplification that maintains associated attributes [19], [20], [21]. While these approaches can be useful for our purposes, their GPU memory requirements can quickly increase.…”

Section: Related Workmentioning

confidence: 99%

Real-Time Visualization of Large-Scale Geological Models With Nonlinear Feature-Preserving Levels of Detail

Sicat

Ibrahim

Ageeli

et al. 2023

IEEE Trans. Visual. Comput. Graphics

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The rapidly growing size and complexity of 3D geological models has increased the need for level-of-detail techniques and compact encodings to facilitate interactive visualization. For large-scale hexahedral meshes, state-of-the-art approaches often employ wavelet schemes for level of detail as well as for data compression. Here, wavelet transforms serve two purposes: (1) they achieve substantial compression for data reduction; and (2) the multiresolution encoding provides levels of detail for visualization. However, in coarser detail levels, important geometric features, such as geological faults, often get too smoothed out or lost, due to linear translationinvariant filtering. The same is true for attribute features, such as discontinuities in porosity or permeability. We present a novel, integrated approach addressing both purposes above, while preserving critical data features of both model geometry and its attributes. Our first major contribution is that we completely decouple the computation of levels of detail from data compression, and perform nonlinear filtering in a high-dimensional data space jointly representing the geological model geometry with its attributes. Computing detail levels in this space enables us to jointly preserve features in both geometry and attributes. While designed in a general way, our framework specifically employs joint bilateral filters, computed efficiently on a high-dimensional permutohedral grid. For data compression, after the computation of all detail levels, each level is separately encoded with a standard wavelet transform. Our second major contribution is a compact GPU data structure for the encoded mesh and attributes that enables direct real-time GPU visualization without prior decoding.

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Section: Related Workmentioning

confidence: 99%

Real-Time Visualization of Large-Scale Geological Models With Nonlinear Feature-Preserving Levels of Detail

Sicat

Ibrahim

Ageeli

et al. 2023

IEEE Trans. Visual. Comput. Graphics

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“…В работе [11,12] разработаны оптимизированные алгоритмы визуализации результатов численного математического моделирования на структурированных сетках с использованием языка шейдеров библиотеки OpenGL, тогда как в описываемой работе используется технология Vulkan и готовый модуль визуализирует любые результаты численного математического моделирования на структурированных и неструктурированных сетках, а для повышения производительности используется технология Vulkan Real Time Ray Tracing [13,14]. Как и в большинстве подобных публикаций, эффективность метода визуализации измеряется путем сравнения количества визуализируемых кадров в секунду (FPS) с использованием различных технологий.…”

Section: Introductionunclassified

Testing Vulkan Visualization for Geomodels on Systems With Graphic Processors for Ray Tracing

Mustafin¹,

Turar²,

Akhmed-Zaki³

2020

BULLETIN OF THE NAT. ENG. AC. OF THE RK

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This paper describes the development of a high-performance application for representing twodimensional and three-dimensional results of numerical calculations in graphical form. Two visualization modules developed on the basis of different methods for translating a three-dimensional model into a twodimensional image are compared. Vulcan technologies and rasterization and Ray Tracing algorithms are used for model visualization, and comparative analyses of the operation of two applications in different conditions are performed. The developed visualization modules can be used to display the results of numerical mathematical modeling on three-dimensional grids.

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