BigData & Analytics Research and Developement at Petrobras
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1 III Fórum HBR BRASIL Big Data & Analytics BigData & Analytics Research and Developement at Petrobras Ismael H F Santos, DSc CENPES/PDEP/TOOL ismaelh@petrobras.com.br Agosto 2014
2 Agenda BigData and Scientific Knowledge Discovery BigData in Oil & Gas The Pre-salt frontier Seismic Processing and Interpretation Offshore Engineering E&P Logistics Conclusions 2
3 BigData and Analytics Scientific Knowledge Discovery
4 Big Data computing capabilities Volume Velocity Variability "Big data is not just historic business intelligence, it's the addition of real-time data and the ability to mash together several data sets that makes it so valuable.
5 Evolution of Science and Knowledge Discovery Sensors, devices, simulations, social, Multi-disciplinary, multi-institutional Big Data Data Intensive / Data Driven Science Computational Simulation of Complex Phenomena Theoretical Research Experimental Research 9/1/2014 Ref: Cray and VBRX Workshop on HPC for Upstream Applications in Oil and Gas 6
6 Data and Computational Drivers Today s science and engineering are: Data-intensive Data-driven Compute-intensive Multi-scale, multi-physics Resource requirements are driven by multiple dimensions. Data Tsunami is defying standard approaches to interpretation Fidelity / Resolution Volume and complexity of data are too much for either humans or current technologies for effective analysis Data and Computing Resources BIG and FAST Figure adopted from Computing Issues for WCRP Weather and Climate Modeling, James Kinter and Michael Wehner Add volumes of multidisciplinary data 7 9/1/2014
7 Time Big Data, Analytics and Visualization are enablers of Scientific Data Discovery Big Data & Analytics support for Computational Steering for Scientific Data Discovery Problem Solving Environments DistributedTeams Usage 1985 Mainframes Graphics Clusters Immersive Visualization Rooms Numerical Clusters 2015 SOA Architectures Web Services + Grid Computing Graphics Scientific Visualization Workstations 3D Modelling and CAD/CAE Workstations Cross sections and 2D maps Cross-sections and 2D Maps Remote Collaboration CVEs Computational Steering Well-Path planning Design Review Collaborative Tele-immersive Environments Massively Multiplayer Online Role-playing Game (MMORPG) Collaborative CAD Realtime GeoSteering Single user Small -sized Team Bigger Teams Larger teams
8 BigData in Oil & Gas Some Examples
9 Big Data in Oil & Gas Data sources spectrum
10 Santos Basin - Pré-Salt 149 mil km2 e ~80 bilhões de barris Poços testados Reservatórios Pré-Sal
11 Santos Basin - Pré-Salt
12 Pre-salt Carbonate Reservoirs
13 Seismic Processing and Interpretation
14 Seismic Processing and Interpretation
15 Seismic Survey Seismic lines 3D volume data 500 a 2000 lines separeted by 12,5m
16 Geological Interpretation
17 3D Seismic Data Acquisition Navios sísmicos Seções sísmicas
18 Offshore Engineering
19 Offshore Engineering LARGE DIAMETER FLEXIBLE AND RIGID RISERS FOR ULTRA-DEEP WATER SUBSEA PRODUCTION SYSTEMS FIXED POINTS OF ANCHORING HPHT SUB-SALT WELLS HPHT PIPE LINES Design of oil production units, mooring systems, production rises and anchor system in deep water Integrated Visualization Sea Floor arrangement. Mooring and riser systems
20 Offshore Engineering Simulations
21 BSR - Buoy of Sustainable Riser Conceptual Model Depth = 2140m and 2120m; FPSO Cidade de São Paulo; Cidade de Paraty 4 BSRs Reference 23 jumpers; 22 risers; 8 tendões Dimensions 52m x 40m x 10m Engineering Simulations diferente combinations Tabela de Funções das Linhas Produção Injeção de Água Injeção de Gás Serviço Umbilical Monitoramento
22 Visualization of Offshore Engineering Simulations
23 Big Data in Oil & Gas E&P Segment Produção Logística Offshore Operação Otimização Velocidade Desenvolvimento Interpretação Sísmica Modelagem de Reservatório Simulação de Reservatório Variedade Exploração Aquisição Sísmica Processamento Sísmico Interpretação Geológica Volume Operação em Tempo Real Digital Oil Field Velocity - Real time streaming MWD (Measurement while drilling), LWD (Logging while drilling) sensors and SCADA data streams Variety - Unstructured Reserves data, Geospatial data, Safety incident notes, Surveillance Video streams
24 Applications of Big Data in Oil & Gas Exploration Portfolio Analysis seismic data log interpretation, capex investment decisions. Drilling Management - data mining tools help to accurately determine where best to drill and improve the prediction accuracy of how much a well will produce. Equipment Maintenance integration of processing of log, and lab data help determine which piece of equipment is most costly or causing the most problems.
25 Applications of Big Data in Oil & Gas Production Optimization Big Data solutions can help engineers be more efficient by processing data from equipment used to manufacture new products. Reduced Downtime Big Data maintenance and reliability solutions pinpoint the correct times to clean or change out equipment. Analytics help to unforeseen downtime by reducing the business risk and associated downtime impact
26 E&P Warehouse Logistics
27 The Logistics problem Associated Logistic costs in some industries (Fonte: Morehouse, 1984 apud Stock & Lambert, 1992)
28 The Oil&Gas Logistics Logistics Operation E&P Wharehouses
29 E&P Warehouse Logistics main objectives Reception Storage Picking Shipping 1- Create a Predictive Model describing the demand behavior 2- Reduce Lead-Time in the warehouse 3- Optimize the number of items in the warehouse 80 K itens and US$ 11 billion
30 Big Data Conclusions
31 Conclusions The BigData project s are aligned with the strategic objectives of the company's operational efficiency program PROEF. Production Optimization - aiming to prevent losses and to allow the operation of the plant close to the optimal operating point through monitoring associated with advanced control techniques already implemented in several production units; Condition Based Maintenance - reduce the number of shutdowns and avoid arrest for failure of equipment not provided for in the operations of turbo generators of manual production platforms; E&P Warehouse Logistics - aims to optimize the inventory of warehouses and reducing lead-time in attending the demands of offshore stationary production units.
32 Thank you Questions? Ismael H F Santos, DSc CENPES/PDEP/TOOL ismaelh@petrobras.com.br
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