Reservoir Model Information System: REMIS

Sang Yun Lee; Kwang-Wu Lee; Taehyun Rhee; Ulrich Neumann

doi:10.1117/12.806773

20 January 2009 Reservoir Model Information System: REMIS

Sang Yun Lee, Kwang-Wu Lee, Taehyun Rhee, Ulrich Neumann

Proceedings Volume 7243, Visualization and Data Analysis 2009; 72430L (2009) https://doi.org/10.1117/12.806773
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

Abstract

We describe a novel data visualization framework named Reservoir Model Information System (REMIS) for the display of complex and multi-dimensional data sets in oil reservoirs. It is aimed at facilitating visual exploration and analysis of data sets as well as user collaboration in an easier way. Our framework consists of two main modules: the data access point module and the data visualization module. For the data access point module, the Phrase-Driven Grammar System (PDGS) is adopted for helping users facilitate the visualization of data. It integrates data source applications and external visualization tools and allows users to formulate data query and visualization descriptions by selecting graphical icons in a menu or on a map with step-by-step visual guidance. For the data visualization module, we implemented our first prototype of an interactive volume viewer named REMVR to classify and to visualize geo-spatial specific data sets. By combining PDGS and REMVR, REMIS assists users better in describing visualizations and exploring data so that they can easily find desired data and explore interesting or meaningful relationships including trends and exceptions in oil reservoir model data.

Citation Download Citation

Sang Yun Lee, Kwang-Wu Lee, Taehyun Rhee, and Ulrich Neumann "Reservoir Model Information System: REMIS", Proc. SPIE 7243, Visualization and Data Analysis 2009, 72430L (20 January 2009); https://doi.org/10.1117/12.806773

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available