March 6-8
Houston, TX, USA

Focus Day

Information Management for Meaningful Analytics Focus Day

Tuesday March 6, 2018

Data Integrity: Optimizing the Data Journey

Ken Dunn 
Senior Information & Data Architect

08.30 Chair’s Opening Remarks



Melinda East
Data Quality & Management Leader
Statoil NA

08.40 Use Case: The Journey of Data Silos to Data Transparency at Statoil

  • Is data transparency possible in a diverse multidiscipline industry?
  • What does such a project look like?
  • Data priority vs technology priority, are these the same thing?
Giewee Hammond
Lead Data Scientist – Upstream
Aramco Services Company
09.10 Exploring Data Mining Options for the Data Sparsity Problem

  • Using analytics proof of concepts on a small dataset to be accepted and applied to the rest of the business
  • Applying algorithmic solutions from data mining for the next business problem of the same scope
  • The challenge of a high percentage of data variables in a dataset having missing values, making it difficult to meet planned goals
09.40 Morning Refreshments & Networking

Data Standards to Enhance Value of Internal and Captured Datasets

Sheri Roberts
President & Chief Executive Officer,
Alan T. Johnston
President & Chief Executive Officer,
MIMOSA Energistics
Trudy Curtis
Professional Petroleum
Data Management Association
10.10 Interview Panel and Roundtables: Improving the Adoption of Data Standards across the Upstream Business

  • Updates on where data standards are heading in terms of application across the business
  • Identifying business value through greater adoption of standards
  • Strategies for overcoming separation of standards and allowing a degree of integration
  • Advocating for improved standards; both internally within organizations and for the industry as a whole
  • Roundtables on practical steps to improve adoption of standards within E&Ps

11.30 Lunch & Networking

Governance and Workflow Optimization to Integrate Structured and Unstructured Upstream Data More Effectively
Rob Hembree
IT Director
Chesapeake Energy
12.30 Use Case: Embracing a Culture of Data Leadership Implementation of Chesapeake Energy’s Corporate Data Transformation

  • Balancing advancement of emerging technologies and advanced analytics while building a corporate data governance program
  • Managing cultural changes that acknowledges data as a corporate asset
  • Maturing Chesapeake’s Big Data and Data Science program in a low commodity environment
  • Emerging and self-service technology impacts on business driven data management skills and competencies
Rob Hembree
IT Director
Chesapeake Energy
Stephen Taylor
IT Manager Reporting-Analytics and Data Management
Devon Energy
Ken Dunn
Senior Information & Data Architect
12.50  Panel Discussion and Roundtables: Instituting Organizational
Change to Embed Data-as-an-Asset

  • Securing buy-in for adoption of emerging technologies and advanced analytics within operators to reposition E&Ps as technology companies of the future
  • Showing real business value from systems integration and enhancing governance
  • Balancing priorities of governance vs taking the next steps in the data analytics journey and building the governance process and optimization workflows in phases
  • Driving top-down and bottom-up approaches to change and the cultural education component to enable success and sustainment

14.00 Afternoon Refreshments & Networking

Kevin Ryan
Former Global Applications Architect
TD Williamson

14.30 Midstream Perspective: Effective Data Management to Drive Value from Public and Internal Data and Toolsets, While Moving towards

Heightened Data Analytics

  • Moving into the post-Big Data era: Exploring the successes and failures of the Big Data journey
  • Master Data Management and determining the ROI of improved data along the data management journey
  • Overcoming the legacy issues of working with 16-bit technology in a 64-bit environment
  • Understanding O&G complexity vs other industries such as manufacturing/online retail and practical applicability of data analytics in the sector
  • Midstream example of data analytics opportunities – Smart PIGS predictive analytics for maintenance journey
  15.00 Roundtables: Exploring the Pros and Cons of Decentralized Structures with Centralized Processes and Improving Data Security

  • Centers of Excellence to enable workflow-driven collaboration
  • Integrated operations centers to run analytics as data is captured
  • Identifying and empowering clear “process owners”
  • Overcoming security challenges when converging data from multiple sources (including sensors) in the environment
  • Heightened SCADA security

15.30 Close of Focus Day