Overview presentation of Computas solutions for oil & gas customers, given at the Subsea Valley Conference and Exhibition, Fornebu, Norway on April 15-16, 2015.

1. COMPUTAS AS
Smart IT solutions for the Oil & Gas Industry

2. COMPUTAS AS
• Norwegian IT consulting company
providing services and smart solutions
for work processes, business systems and
knowledge-based collaboration
• 30 years - 1985 spinoff from DNV GL
• Located in Oslo, Stavanger and Romania

4. OIL & GAS CUSTOMERS
• Operator companies
• Equipment suppliers
• System integrators
• Consulting companies
• Joint R&D projects

5. COLLABORATIVE DECISION MAKING

6. COLLABORATION FOR
OPERATIONAL EXCELLENCE
• Successful teamwork is a prerequisite for
efficient operational processes
• You have to coordinate resources – people,
equipment, information - in a goal driven way
to create desired results while avoiding or
minimizing adverse effects

7. CHALLENGES WITH TEAM OPERATIONS
High OPEX
Caused by mistakes and downtime
High CAPEX
Caused by poor resource utilization
Poor reliability and performance
Lack of content control and learning

8. CODIO – COMPUTAS SOLUTION FOR
TEAM COLLABORATION
Creates common situation awareness by smart
sharing of information
Assists teams in case handling, problem
resolution, and decision making
Dynamic tracking of collaboration,
communication, and documentation

9. CODIO – VISUALIZING AND SHARING DATA FOR DECISION MAKERS

10. COMPLIANCE MANAGEMENT SYSTEM

11. STANDARDIZATION
Systematic assessment and management of compliance
in a sustainable and prudent manner

12. COMPLIANCE MANAGEMENT TODAY
High costs
Resource binding and time consuming
Excel “mania”
High risk for copying and inherit errors
No real security
Low or No option for safe QA/QC

13. COMPUTAS COMPLIANCE MANAGEMENT
One system for all units, assets and operations
throughout the organization
Easy data input and output
Enhanced measurement control, fast and
adequate report- and search functions

14. MONITOR COMPLIANCE KPI PERFORMANCE IN REAL-TIME

15. SEMANTICS IN BIG DATA

16. CHALLENGES WITH COMPLEX DATA
Definitions
Lack of common definitions prevents interoperability
between systems
Ambiguity
Discovering new knowledge requires unambiguous
representation of facts
Complexity
Big Data systems become more challenging as data
complexity grows

17. HOW CAN THE SEMANTIC WEB HELP?
Ontologies
Semantic Web systems share common ontologies, and can
therefore agree on the meaning of exchanged data
Linked Data
Each node in the Semantic Web can query other linked nodes,
enabling global knowledge discovery
Scalability
Semantic Web systems use subject-predicate-object triples to
describe facts, enabling indefinitely scalable knowledge bases

18. 18
LINKED DATA IN A COMPLEX WORLD