18-21 March 2020

Houston, USA

Data Architecture & Management Focus Day

Thursday, March 21

08.30 Chair Opening Remarks

Establishing the Foundations for Successful Analytics

08.40 Opening Keynote: Transitioning from Legacy Systems to a Future-Proof Analytics Architecture

  • Integrating new tools, platforms and databases across functions with minimal disruption
  • Optimizing data architecture at minimal costs
  • Ensuring a simplified and time efficient approach to digital transformation enabling quick adoption of new data practices
  • Building an implementation strategy with scalability in mind to prepare for system-wide change
  • Integrating data into different ERP systems
  • Managing the performance of new technologies and systems

Stephen Taylor, Reporting, Analytics & Data Management Manager

09.20 Panel Discussion: Developing Governance Programs & Standardizing Data Practices

  • Building a corporate data governance program to leverage data as an asset throughout the business
  • Ensuring governance practices keep apace with emerging technologies and advanced analytic
  • Establishing who’s responsible for creating and governing standards practices within the organization
  • Changing mindsets for improved accessibility for future users:
  • Thinking beyond current projects and promote formatting standards
  • Industry examples and initiatives that advocate for data standards

Jay Hollingsworth, Chief Technology Officer, Energistics

Kevin Moran, Manager Analytics, CNX Resources Corporation

Julie Spoth, Director Enterprise Data Analytics, ConocoPhillips

10.00 Getting Subsurface Ready for the Data Journey Using OSDU

  • Exploring the data requirements for leveraging a new generation of cloud-based applications and services
  • Understanding why a standard data platform (making use of all data, structured and unstructured) is necessary for subsurface data
  • Learning about the role The Open Group Open Subsurface Data Universe™ Forum (OSDU) is playing in the industry’s data transformation
  • Discovering the business drivers for a standards effort in subsurface
  • How can this be a step change for the industry?

Johan Krebbers, Chief Technology Officer, Shell

10.40 Morning Refreshments & Networking

11.10 Roundtables: Reviewing Infrastructure & Architecture Opportunities and Challenges Within Your Business

  • Discuss current data architecture initiatives as well as technology and platforms being used to identify areas of success and inspire positive change among your peers.
  • Share some of the lessons learned in overcoming particular challenges around implementing new software and data governance practices, while minimizing costs and optimizing outcomes.

Leveraging New Data Architecture Capabilities

11.40 Exploring the Capabilities of Cloud Platforms to Enable Transparent Data Integration

  • Learning how data as an asset can be stored and leveraged on the cloud
  • Understanding how the cloud can improve the quality and flow of data from end-to-end
  • Reviewing the benefits and challenges of using a cloud platform vs. traditional storage platforms
  • Exploring how cloud tools are offering new opportunities for the energy business to remain competitive
  • What are the technical and cultural processes and changes required for transitioning to cloud platforms?

Melinda East, Leader Data Quality & Management, Equinor

12.20 Lunch

13.20 Overcoming Data Scarcity to Support Analytics in New Areas

  • Reviewing the benefits and challenges of using third party or public data to expand current scope and capabilities
  • Understanding the requirements and processes to follow when working with third party and public datasets
  • Exploring techniques and tools for dealing with gaps in big datasets
  • Uncovering models that can manipulate public domain data to draw meaningful insights
  • Unifying multiple datasets to bridge data sparsity while preserving contextual differences

Brent Haas, Vice President Engineering, R Lacy

14.00 Improving Processes for Gathering & Preparing Datasets to be Leveraged by Current & Future Users

  • Exploring methods for reducing data preparation time: What are realistic time frames?
  • Increasing efficiency for integrating unstructured data and utilizing ERP systems to identify unusable data
  • Reviewing best practices for cleaning and testing large datasets
  • Implementing processes to check and calibrate the quality of data from proprietary, third party and public sources: Are automated systems the answer?

Amii Bean, Engineering Tech Manager, EnerVest Operating

Kevin Boudreaux, Consulting Environmental Scientist, Enervest Operating

14.40 Chair’s Closing Remarks

14.50 Conference Close