PNEC 2015 | SHOW GUIDE 8 www.pnecconferences.com
CONFERENCE PROGRAM PLENARY TRACK 1 TRACK 2
TUESDAY, MAY 19, 2015
9:45 – 11:45 a.m. SESSION 1 - SALON A
TRACK 1: BEST PRACTICES
CHAIR: Cynthia Schwendeman, Data Management Advisor, Hess Corporation, USA
9:45 – 10: 15 a.m. The Well Hierarchy as a Foundation for MDM: A Case Study
Steve Cooper, President, EnergyIQ, USA
Diferent groups of people within a company create and consume data at diferent well levels depending upon
their role. Efective integration of this data requires the ability to uniquely identify and relate a well and all of its
components at all levels within the well hierarchy. This presentation details one approach to establishing the
well hierarchy as a foundation for master data management.
10: 15 – 10:45 a.m. Noble Creating and Mastering Golden Record Data with Oracle Master Data Management
Vijay Chitiyala, Program Manager, Enterprise Applications, Noble Energy, USA
Carl Schuckenbrock, Area Sales Manager, Oracle, USA
Noble Energy wanted to better maintain master data around product, supplier, asset, customer and fnancial
hierarchies including cost centers. They kicked of a project with Oracle and Pilog to cleanse and master these
data sets using Oracle’s Product Information Management solution, Customer Hub, Supplier Hub and Data
Relationship Management. Eight months later, they are mastering this content with stellar results.
10:45 – 11: 15 a.m. E&P Data Quality Management
Daljit Singh Sukhdev Singh, Senior Manager, Petronas, Malaysia
All E&P organizations today confront data quality problems. The author presents common data quality issues
faced by oil and gas organizations and shares some of the data quality best practices based on his experience
is this area.
11: 15 – 11:45 a.m. Ontological Analysis of the Lithology Data in PPDM Well Core Model
Mara Abel, Professor, Informatics-UFRGS, Brazil
Alexandre Lorenzatti, System Analyst Endeeper, Brazil
Sandro Fiorini, Researcher, Informatics-UFRGS, Brazil
Joel Carbonera, PhD Student, Informatics-UFRGS, Brazil
This talk will present the PPDM well data model from an ontological analysis point of view, identifying the
lithological objects able to provide interoperability among systems that refer these data. The rock ontology
model resulting from this analysis will be presented.
11:45 a.m. – 1: 15 p.m. LUNCH - Exhibit Hall