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How to use Big Data technologies to optimize operations in Upstream Petroleum Industry
- Source :
- International Journal of Innovation (IJI), International Journal of Innovation (IJI), 2013, 1 (1), pp.30-42, 21st World Petroleum Congress, 21st World Petroleum Congress, Jun 2014, Moscow, Russia. pp.21, International Journal of Innovation, International Journal of Innovation, Vol 1, Iss 1, Pp 19-25 (2013), Internacional Journal of Innovation-IJI; Vol 1, No 1 (2013): Vol. 1, N. 1, August-December, 2013; 19-25, Journal IJI (e-ISSN:2318-9975); Vol 1, No 1 (2013): Vol. 1, N. 1, August-December, 2013; 19-25, International Journal of Innovation-IJI; Vol 1, No 1 (2013): Vol. 1, N. 1, August-December, 2013; 19-25, International Journal of Innovation; Vol 1, No 1 (2013): Vol. 1, N. 1, August-December, 2013; 19-25
- Publication Year :
- 2013
- Publisher :
- HAL CCSD, 2013.
-
Abstract
- “Big Data is the oil of the new economy” is the most famous citation during the three last years. It has even been adopted by the World Economic Forum in 2011. In fact, Big Data is like crude! It’s valuable, but if unrefined it cannot be used. It must be broken down, analyzed for it to have value. But what about Big Data generated by the Petroleum Industry and particularly its upstream segment? Upstream is no stranger to Big Data. Understanding and leveraging data in the upstream segment enables firms to remain competitive throughout planning, exploration, delineation, and field development. Oil & Gas Companies conduct advanced geophysics modeling and simulation to support operations where 2D, 3D & 4D Seismic generate significant data during exploration phases. They closely monitor the performance of their operational assets. To do this, they use tens of thousands of data-collecting sensors in subsurface wells and surface facilities to provide continuous and real-time monitoring of assets and environmental conditions. Unfortunately, this information comes in various and increasingly complex forms, making it a challenge to collect, interpret, and leverage the disparate data. As an example, Chevron’s internal IT traffic alone exceeds 1.5 terabytes a day. Big Data technologies integrate common and disparate data sets to deliver the right information at the appropriate time to the correct decision-maker. These capabilities help firms act on large volumes of data, transforming decision-making from reactive to proactive and optimizing all phases of exploration, development and production. Furthermore, Big Data offers multiple opportunities to ensure safer, more responsible operations. Another invaluable effect of that would be shared learning. The aim of this paper is to explain how to use Big Data technologies to optimize operations. How can Big Data help experts to decision-making leading the desired outcomes?<br />Baaziz, A., & Quoniam, L. (2013). How to use Big Data technologies to optimize operations in Upstream Petroleum Industry. International Journal of Innovation, 1(1), 19-25. doi: 10.5585/iji.v1i1.4
- Subjects :
- FOS: Computer and information sciences
Big Data
Economics
Computer science
Big data
020101 civil engineering
02 engineering and technology
Upstream Petroleum Industry
ddc:070
Sociology & anthropology
Field (computer science)
0201 civil engineering
Computer Science - Computers and Society
Business Intelligence
Analytics
Knowledge Management
KM
BI
Innovation
Decision-making under Uncertainty
0202 electrical engineering, electronic engineering, information engineering
Wissensmanagement
basic industry
Marketing
lcsh:Commerce
020203 distributed computing
competitiveness
Wirtschaft
Economic Sectors
Erdöl
Daten
natural gas
data
Disparate system
Business intelligence
Grundstoffindustrie
ddc:301
Sociology of Science, Sociology of Technology, Research on Science and Technology
Wissenschaftssoziologie, Wissenschaftsforschung, Technikforschung, Techniksoziologie
Informationsmanagement, informationelle Prozesse, Informationsökonomie
Erdgas
Nutzung
Monitoring
Big Data technologies
020209 energy
[SHS.INFO]Humanities and Social Sciences/Library and information sciences
analytics
upstream petroleum industry
business intelligence
decision-making under uncertainty
utilization
lcsh:Business
[SHS.INFO] Humanities and Social Sciences/Library and information sciences
lcsh:Social Sciences
Wettbewerbsfähigkeit
Leverage (negotiation)
020204 information systems
Computers and Society (cs.CY)
ddc:330
Information Management, Information Processes, Information Economics
Datengewinnung
crude oil
News media, journalism, publishing
Upstream (petroleum industry)
business.industry
knowledge management
Data science
Wirtschaftssektoren
lcsh:H
data capture
lcsh:HF1-6182
Petroleum industry
Soziologie, Anthropologie
Publizistische Medien, Journalismus,Verlagswesen
New economy
lcsh:HF5001-6182
business
Subjects
Details
- Language :
- English
- ISSN :
- 23189975
- Database :
- OpenAIRE
- Journal :
- International Journal of Innovation (IJI), International Journal of Innovation (IJI), 2013, 1 (1), pp.30-42, 21st World Petroleum Congress, 21st World Petroleum Congress, Jun 2014, Moscow, Russia. pp.21, International Journal of Innovation, International Journal of Innovation, Vol 1, Iss 1, Pp 19-25 (2013), Internacional Journal of Innovation-IJI; Vol 1, No 1 (2013): Vol. 1, N. 1, August-December, 2013; 19-25, Journal IJI (e-ISSN:2318-9975); Vol 1, No 1 (2013): Vol. 1, N. 1, August-December, 2013; 19-25, International Journal of Innovation-IJI; Vol 1, No 1 (2013): Vol. 1, N. 1, August-December, 2013; 19-25, International Journal of Innovation; Vol 1, No 1 (2013): Vol. 1, N. 1, August-December, 2013; 19-25
- Accession number :
- edsair.doi.dedup.....b57890a878c18963d8539ff12bf2b652