PETROBRAS R&D CENTER (CENPES)

Transcription

1 PETROBRAS R&D CENTER (CENPES) Luciano Pereira dos Reis CENPES / PDP /GR SIBGRAPI 2009: Workshop on Applications of Graphics for the Petroleum Industry

2 TECHNOLOGICAL PROGRAMS New Exploratory Frontiers Basin Modeling Deep and Ultra-deep Waters Heavy Oil Enhanced Oil Recovery Pre-salt Refining Optimization & Reliability Fuel Innovation Transportation Natural Gas Renewable Energy and Bio Fuels Environment Climate Changes

3 TECHNOLOGICAL INTEGRATION R&D CENTER Types: Contracts and agreements with Universities and Research Centers Networks of excellence (38) Over 120 Brazilian Institutions Types: Joint Industry Projects Cooperating Research Strategic Alliances Technology Interchange Over 70 International Institutions

4 - Thematic Network for Scientific Computing and Visualization - Laboratory infra-structure in 14 universities: 2006/2007: UFRJ, USP, PUC, UFAL, ITA 2008: UFAM, UFMA, UFC, UFRN, UFPE, LNCC, INPE, UNICAMP and UFRGS. - Grade BR (BR Grid): 5 supercomputers with 160 teraflops - Development of the Galileu System: High-Performance Computational Environment in Tera-scale and 3D High-Resolution Visualization in Real Time, for the Application of Computational Mechanics in the Oil and Gas Industry Visualization Projects: - Outdoors Augmented Reality (COPPE) - Tools for the Standardization of a 3D Format for Real-Time Visualization Applications (USP) - Low-Cost Immersive System (USP) - Framework of Visualization Components (USP) - CAVE (PUC) - Generation of linked geomechanical models for numerical simulations with Discrete and Finite Element Methods (UFAL)

5 NVC - Visualization and Collaboration Center Mission: To foster the development and application of Scientific Visualization, Immersive Systems and Collaboration technologies in the company, in an integrated and shared way.

6 2 nd Floor: Advanced Applications Immersive and Ultra high resolution systems HD Videoconferencing

7 1 st Floor: Research and Development Flexible workspace: R&D with external partners Experimental visualization systems

8 Central Building: Integrated Projects Visualization rooms Project rooms Meeting rooms

9 Ultra-high resolution High-resolution images Satelite and microscopic images Well analysys Scientific visualization Comparison of results (different simulations, different attributes) Simultaneous applications 3D, 2D, documents, videoconferencing

10 Immersive Environments Engineering / Safety Walkthroughs Simulations for training of inspection, maintenance and repair operations Ergonomic studies Risk Analysis (e.g. CEERMA UFPE / GeDig Thematic Network)

11 Immersive Environments Geosteering Statoil Hydro Research Center Impediments Low availability and high cost of operational tools Need of specific equipment, space Time-consuming data preparation Benefits not proven Research and development effort required

12 Challenge - how to maximize R&D results and incorporate them into the company s operational workflows Proposal - a development environment with focus on: Reuse Other tools OpenSource libraries Components architecture, Plug-ins Quality Automated tests Continuous Delivery (each 3 weeks) Continuous planning Agile development methodology (Scrum) Two specific examples (among others successful projects)

13 SiVIEP- Integrated E&P Visualization Collaborations: Environ, Geresim, V3O2 Main features: integration of geociences and engineering models, multi-scale navigation, desktop / immersive, distributed visualization, time scale, development framework

14 ENVIRON - Visualization of Massive Engineering Models Main features: real-time visualization of large models, photo realism, desktop / immersive visualization, visualization of engineering simulations

15 Some Important Research Topics: distributed visualization (large high-resolution displays with multiple graphic channels) immersive environments 3D interfaces and interaction devices multi-scale, intuitive navigation usability evaluation large, multi-field and time-varying models multi-resolution visualization of dynamic engineering and geosciences models volume visualization of massive models unstructured volume visualization uncertainty visualization high-quality real time rendering of large models collaborative visualization

16 Conclusions lots of opportunities for R&D in computer graphics applications challenges: human resources (in the industry and in the academy) communication, collaboration, productivity matching academic and industrial interests strategies to foster collaboration and maximize benefits