March 6-8
Houston, TX, USA

Day One
Wednesday March 7 2018

Day Two
Thursday March 8 2018

Day One Chair’s Opening Remarks

Integrating Data Analytics within the Upstream Environment to Improve Business Decision-Making

Lessons from the Trenches: Building a Culture of Change within Upstream Disciplines to Ensure Adoption of Data Analytics

  • Elizabeth DeStephens Vice President Reserves and Corporate Development, California Resources Corporation


  • Overcoming the challenges of working with legacy systems, structures and formats to integrate data sources and drive more meaningful analytics
  • Building trust in data and analytics outputs across upstream groups
  • Embedding change and improved workflows to drive buy-in from domain experts
  • Enabling the move towards predictive and automated decisions

Panel Discussion: Integrating Data and Analytics Tools across Engineering and IT to Drive Rapid Learning and Maximize the Value of Upstream Data


  • Understanding silo structures and how to effect cultural change to enable more effective collaboration and subsurface data integration
  • Improving business and IT collaboration – Focusing OT and IT on unifying analytics and automation
  • Cross-sector learning: Collaboration on data sharing to enable data integration between different departments and agencies in Texas
  • Securing buy-in for embedding workflows and sharing data between groups to avoid operational decisions being taken ‘the old way’
  • Integrating subsurface and operational execution for truly comprehensive wellsite project management
  • Enabling engineering decision-making through robust tools that draw from the same data systems, but provide flexibility to conduct specific disciplinary analyses

Speed Networking & Morning Refreshments

Use Case: Training to Drive Uptake and Integration of Business- Side Analytics

  • Paloma Urbano IT Director, E&P Data Management Portfolio & Strategy, ConocoPhillips
  • Julie Spoth Director Enterprise Data Analytics, ConocoPhillips


  • Reviewing the challenges to adoption of data analytics by reflecting on how analytics is different
  • The levels of uptake observed in ConocoPhillips based on technology, skills and process change
  • The role of champions, early adopters and influencers to make the change ubiquitous
  • Addressing training and mentoring through traditional and innovative programs
  • Sharing the lessons learnt and the changes being made to the training going forward

Use Case: Embedding ‘Data as an Asset’ at Devon to Improve Upstream Decision-Making


  • Unlocking upstream business processes and value through data as a strategic asset
  • Ensuring information management is robust enough to adapt to changing economic environments and advances in technology
  • Using workflows and BPM products to automate business processes
  • Ensuring workflows are robust, scalable, and upgradable

Lunch & Networking

Use Cases on Improving Engineering Outcomes through Embedding Data Analytics

Use Case: Drilling and Completions Analytics to Define Superior Economic Results at Riverford Exploration


  • Early application and economic success using analytics
  • Building geologic-reservoir models first
  • Expanding to include drilling and completion analytic models

Use Case: Multivariate Analysis to Optimize Completion and Production in Midland Basin Development


  • Applying statistical analytics tools and engineering data evaluation to understand well performance by completion design
  • Establishing key parameters that drive favorable metrics
  • Performing well performance forecasts in each sensitivity
  • Evaluating economic optimizations using production predictions and cost models for future well planning

Afternoon Refreshments & Networking

Panel Discussion: Exploring the Emerging Role of Data Scientist and Where This Sits within the Business

  • Stephen Taylor IT Manager - Reporting, Analytics and Data Management, Devon Energy
  • Giewee Hammond Lead Data Scientist – Upstream, Aramco Services Company


  • Driving the most upstream value from Data Science within your organization
  • Exploring the pros and cons of data science sitting within IT or the business side
  • Moving towards domain expertize in addition to a core mathematics focus

Chair’s Closing Remarks

Close of Day One