Post-conference In-depth Learning Sessions - Wednesday 17 September 2014

SESSION A:
INFORMATION QUALITY AND DATA GOVERNANCE FOR E&P

Successfully tackling the tough challenges caused by poor E&P information quality
often seems like an overwhelming and thankless task. Moreover, as awareness about
the importance of information quality grows, information quality (IQ) and data
management practitioners are increasingly called to tackle a myriad of complex IQ
problems.

To be successful in the short and long terms, E&P Data professionals must be
equipped with a robust foundation deeply rooted in proven best practices and
applicable to the specific challenges of E&P data.

Drawing from lessons learned at the frontline, this session describes the fundamental
components of successful IQ functions and provides practical guidelines on getting
started and remaining successful. Several hands-on exercises are used to facilitate
learning and promote mastery.

This session will be beneficial to those implementing new information quality programs
and to those seeking to re-energize or re-focus existing ones. Participants will leave
with tangible solutions to many of their toughest IQ implementation challenges.

Agenda:

Typical causes of information quality problems
Information quality characteristics/dimensions
The fundamental activities of IQ management and improvement
Managing data as an asset
Methodologies for IQ Management
Data governance and stewardship
Measuring IQ costs and value
Building a company-wide IQ culture
Aligning business and IT for IQ success
Measurement data and its implications
Lean applications to E&P data management

About the session leader:

C. Lwanga Yonke, Advisor to Board of Directors, INTERNATIONAL ASSOCIATION FOR INFORMATION & DATA QUALITY (IAIDQ)

C. Lwanga Yonke is a seasoned information quality and data governance leader
with more than 25 years of oil industry experience. He has successfully designed
and implemented projects in multiple areas, including information quality, data
governance, data management, business intelligence, data warehousing, data
architecture and document management. His initial experience is in petroleum
engineering and operations.

He is a member of the Society of Petroleum Engineers (SPE) and a senior member
of the American Society for Quality (ASQ). Lwanga is a founding member of the
International Association for Information and Data Quality (IAIDQ) and currently
serves as an Advisor to the IAIDQ Board of Directors.

Lwanga is the recipient of the 2008 SPE Western North America Regional
Management and Information Award and the 2011 IAIDQ Distinguished Service
Award.

An ASQ Certified Quality Engineer, Lwanga holds a BS degree in petroleum
engineering from the University of California at Berkeley and earned an MBA from
California State University, Bakersfield.

SESSION B:
PRACTICAL WELL DATA QUALITY MASTERCLASS

Here is a rare opportunity to learn from a true industry professional knowledgeable
data users’ perspective.

This masterclass is suitable for business executives and practitioners of all
seniority, whose responsibility includes, directly or indirectly, the management of
geoscientific data, and who are keen to better understand the strengths,
inefficiencies and “blind spots” of their data management systems.

Learn what the well data users’ real quality problems are, sometimes unbeknownst
to them, and how to work with them to assure, for the long term, quality input to
the decision-making process. Most problems are technically simple to understand
yet severe and pervasive, and mitigating them requires an informed and coordinated
e ort from all. There will be opportunities for discussions.

Agenda:

Objectives of well data acquisition
Types of well data
The life cycle of well data
Well data exploitation, work ows
The measurement of depth
Most common well data problems and their mitigation
Users’ practical requirements for quality
Well data quality control and quality assurance in practice
Well data management in practice
Master Data Management and standardisation
Initiating a culture of data quality
Outstanding challenges for well data managementand the role of technology

About the session leader:

Martin Storey, Director & Senior Consultant, WELL DATA QUALITY ASSURANCE

Martin Storey is an independent practising Petroleum Engineer with over 25 years of
international experience in the oil and gas industry, combining IT, field operations, data
analysis, and data management at all stages of the life cycle. He started as a logging
engineer in South America, then joined a super-major to do wellsite geology and
engineering, Total Quality Management, and Petrophysics - in West Africa, South East
Asia, and the Middle East. In the 1990’s, he was the project leader and main executor
of two large well data management projects, both completed. For the past fifteen years,
he has been a consultant and trainer, mainly in Petrophysics, operations planning, and
well data management, to a range of companies broad in size and spread. In 2012 he
founded Well Data Quality Assurance (WellDataQA) to assist organisations increase
the quality and value of their well data while lowering the costs of acquisition and
exploitation. He is a frequent speaker on well data quality and teaches courses on
Carbonate Petrophysics and on Well Data Quality Acquisition and Quality Control.

Martin has a BSc in Mathematics and Computer Science from Stanford University,
and an MSc in Electrical Engineering from the California Institute of Technology. He
is registered engineer in Australia, and a member of the Professional Petroleum Data
Management Association (PPDM), the Society of Petroleum Engineers (SPE), the
Society of Petrophysicists and Well Log Analysts (SPWLA), the Formation Evaluation
Society of Australia (FESAus), and the Society of Core Analysts (SCA).