Towards Advancing Reservoir Model Analysis with Virtual Reality

被引：1

作者：

Aktar, Farzana ^{[1
]}

Aminbeidokhti, Amir ^{[1
]}

Cartwright, Stephen ^{[1
]}

Chen, Zhangxin ^{[1
]}

Daeijavad, Parisa ^{[1
]}

Dalton, Rachel ^{[1
]}

Dawar, Seher ^{[1
]}

Hu, Die ^{[1
]}

Lawton, Bryson ^{[1
]}

Maurer, Frank ^{[1
]}

Samoil, Steven ^{[1
]}

Wang, Nanjia ^{[1
]}

Xie, Siqi ^{[1
]}

机构：

[1] Univ Calgary, Calgary, AB, Canada

来源：

2022 IEEE INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY ADJUNCT (ISMAR-ADJUNCT 2022) | 2022年

基金：

加拿大自然科学与工程研究理事会;

关键词：

Immersive; Analytics; Virtual Reality; Reservoir; Engineering; Human-Computer Interaction; Information; Workflow; Visualization; VR; VISUALIZATION;

D O I：

10.1109/ISMAR-Adjunct57072.2022.00027

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Traditional software tools for visualizing and analyzing reservoir model data utilize 2D displays, and thus can only offer capabilities subject to the restrictions of these technologies. We describe ways to advance reservoir model analysis workflows beyond conventional methods by leveraging the strengths of virtual reality technologies to improve how one understands, analyzes, and interacts with reservoir models. Specifically, we discuss a reservoir model analytics tool exploring how virtual reality can be used to improve the spatial perception and navigation of data, support more intuitive and natural data interactions, enable larger workspaces, and promote more effective collaboration over reservoir models.

引用

页码：91 / 97

页数：7

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