Published on 27-Jun-2011
Validated on 05 Dec 2012
"We now have operations data available on a daily basis to drive rapid and informed decisions." - Fabio Casisa, Eni S.p.A.
Customer:
Eni S.p.A.
Industry:
Chemicals & Petroleum
Deployment country:
Italy
Solution:
Selected Business Solution (sBS), Business Integration, Data Warehouse, Industry Framework , Smarter Planet, Systems & Network Management, Product & Service Innovation
Smarter Planet:
Smarter Oil & Gas
Overview
With more than 78,400 employees around the world, Eni S.p.A. is a major integrated energy company focused on refinery planning and operations. Eni S.p.A. is active in 77 countries and operates in the oil and gas, electricity generation and sale, petrochemicals, oilfield services construction and engineering industries. In these business areas, the company has a strong edge and leading international market position.
Business need:
The refining industry operates under extremely thin margins and Eni S.p.A. needed greater production efficiency. Each of its refineries was developing plant schedules based on incomplete and siloed data. These production schedules were primarily generated on historical models, dated production information and scheduler experience. This mainly manual process meant that the company could not integrate real-time market information or changes into the production schedule, or improve plant performance through more intelligent use of information to take advantage of market opportunities.
Solution:
Oil refineries need to produce products that will generate the highest possible revenue, but until now, creating production schedules and deciding which oil to refine was mainly based on historical data and guesswork. Eni S.p.A. now has the ability to run production simulations to optimize plant production runs and use real-time decision making to make plant configuration decisions. Eni S.p.A. can execute “what-if” scenarios based on market demand, market price, etc. to optimize production operations. The end result is optimized plant utilization and output at the highest possible revenue.
Benefits:
- Improved plant optimization based on capacity, cost and supply chain factors
- Improved yield through better consistency, accessibility, timeliness and accuracy of production information
- Improved operations scheduling—data collection is executed by “a click of the mouse” and the daily plan configured quickly and easily; in addition, the data is coherent and easily shared across five refineries
Case Study
With more than 78,400 employees around the world, Eni S.p.A. is a major integrated energy company focused on refinery planning and operations. Eni S.p.A. is active in 77 countries and operates in the oil and gas, electricity generation and sale, petrochemicals, oilfield services construction and engineering industries. In these business areas, the company has a strong edge and leading international market position.
The Opportunity
The refining industry operates under extremely thin margins and Eni S.p.A. needed greater production efficiency. Each of its refineries was developing plant schedules based on incomplete and siloed data. These production schedules were primarily generated on historical models, dated production information and scheduler experience. This mainly manual process meant that the company could not integrate real-time market information or changes into the production schedule, or improve plant performance through more intelligent use of information to take advantage of market opportunities.
What Makes it Smarter
Oil refineries need to produce products that will generate the highest possible revenue, but until now, creating production schedules and deciding which oil to refine was mainly based on historical data and guesswork. Eni S.p.A. now has the ability to run production simulations to optimize plant production runs and use real-time decision making to make plant configuration decisions. Eni S.p.A. can execute “what-if” scenarios based on market demand, market price, etc. to optimize production operations. The end result is optimized plant utilization and optimized output at the highest possible revenue and margin.
What if an oil company could predict revenue and refinery output before changing its production lines to capitalize on new market opportunities?
Real Business Results
- Improved plant optimization based on capacity, cost and supply chain factors
- Improved yield through better consistency, accessibility, timeliness and accuracy of production information
- Improved operations scheduling—data collection is executed by “a click of the mouse” and the daily plan configured quickly and easily; in addition, the data is coherent and easily shared across five refineries
Solution Components
- IBM® Global Business Services® (GBS): Product Lifecycle Management
- IBM Global Technology Services; GTS Integrated Technology Services; GTS Data Center Services
- IBM Global Services - Application Services (GBS-AIS and/or AMS)
- Engineering and Technology Services (E&TS): Lifecycle Engineering Services
- IBM Tivoli® Asset Management for IT
- IBM WebSphere® MQ Workflow
- IBM ILOG® Diagram for .NET
- IBM System x®
- Industry Solutions: C&P: Upstream Petroleum Solutions
For more information
Please contact your IBM sales representative or IBM Business Partner. Visit us at: ibm.com/chemicals&petroleum
To learn more about Eni S.p.A., visit:
http://www.eni.com
Products and services used
IBM products and services that were used in this case study.
Hardware:
System x: System x running hypervisor - VMware, System x: System x3500 M3
Software:
Tivoli Asset Management for IT, WebSphere MQ Workflow, IBM ILOG Diagram for .NET
Service:
AMS Services: Design-Build-Manage, GBS App Innovation Svcs: Application Development, GBS SCM: Product Lifecycle Management, GTS ITS Site & Facilities: Data Center Operations & Management, IBM Global Business Services, IBM Global Services, GTS Data Center Services
Legal Information
© Copyright IBM Corporation 2011 IBM Corporation 1 New Orchard Road Armonk, NY 10504U.S.A. Produced in the United StatesJune 2011All Rights Reserved IBM, the IBM logo, ibm.com, Global Business Services, ILOG, System x, Tivoli and WebSphere are trademarks of International Business Machines Corporation, registered in many jurisdictions worldwide. A current list of IBM trademarks is available on the Web at “Copyright and trademark information” at ibm.com/legal/copytrade.shtml Other company, product or service names may be trademarks or service marks of others. The information contained in this documentation is provided for informational purposes only. While efforts were made to verify the completeness and accuracy of the information contained in this documentation, it is provided “as is” without warranty of any kind, express or implied. In addition, this information is based on IBM’s current product plans and strategy, which are subject to change by IBM without notice. IBM shall not be responsible for any damages arising out of the use of, or otherwise related to, this documentation or any other documentation. Nothing contained in this documentation is intended to, nor shall have the effect of, creating any warranties or representations from IBM (or its suppliers or licensors), or altering the terms and conditions of the applicable license agreement governing the use of IBM software.