Tuesday, May 22, 8:30 AM - 9:45 AM

Opening Keynote Session
Room: Salon A-D

Tuesday, May 22, 10:15 AM - 11:45 AM

Session 1: Data Delivery
Room: Salon A-D

Revolution around Petroleum data management in Total
  • Room: Salon A-D
  • Tuesday, May 22, 10:15 AM - 10:45 PM
Machine Learning: Time & Cost-Effective way to Estimate Reservoir Parameters
  • Room: Salon A-D
  • Tuesday, May 22, 10:45 AM - 11:15 PM
Uniting Upstream and Downstream Master Data Models to Enable Analytics
  • Room: Salon A-D
  • Tuesday, May 22, 11:15 AM - 11:45 PM

Tuesday, May 22, 1:15 PM - 2:45 PM

Session 2: Application Data
Room: Salon A-D

Combining Geoscience Platforms to Maximize Integrated Workflows
  • Room: Salon A-D
  • Tuesday, May 22, 1:15 PM - 1:45 PM
Case Study: Using Spotfire as an Integrated Data Portal at Shell
  • Room: Salon A-D
  • Tuesday, May 22, 1:45 PM - 2:15 PM
Enterprise Geospatial Information Management
  • Room: Salon A-D
  • Tuesday, May 22, 2:15 PM - 2:45 PM

Tuesday, May 22, 3:30 PM - 5:00 PM

Session 3: Innovation and Technical Trends
Room: Salon A-D

Enabling a Master Well Database Using Machine Learning and Cloud Processing
  • Room: Salon A-D
  • Tuesday, May 22, 3:30 PM - 4:00 PM
Is an Autonomous Well in Your Future?
  • Room: Salon A-D
  • Tuesday, May 22, 4:00 PM - 4:30 PM
Machine Learning with Structured and Unstructured Data Management
  • Room: Salon A-D
  • Tuesday, May 22, 4:30 PM - 5:00 PM

Wednesday, May 23, 8:30 AM

Session 4: Subsurface
Room: Salon D

A New Approach to Seismic Data Storage
  • Room: Salon D
  • Wednesday, May 23, 8:30 AM - 9:00 AM
Improved Seismic Data Management through Standardization and Collaboration
  • Room: Salon D
  • Wednesday, May 23, 9:00 AM - 9:30 AM

Wednesday, May 23, 10:45 AM

Wednesday, May 23, 4:00 PM

Thursday, May 24, 8:30 AM - 10:00 AM

Thursday, May 24, 10:45 AM - 12:30 PM

Session 9: Analytics
Room: Salon A-D

Plus ça change? The readiness of Data Management for Analytics and “n=all”
  • Room: Salon A-D
  • Thursday, May 24, 10:45 AM - 11:15 PM
Building a Predictive Analytics Solution
  • Room: Salon A-D
  • Thursday, May 24, 11:15 AM - 11:45 AM