March 17-18, 2020

Houston, USA

Day One
Tuesday, March 19

Day Two
Wednesday, March 20

08.10
Chair Opening Remarks

  • David Fulford Sr. Staff Reservoir Engineer, Exploration Evaluation, Apache

Advancing Analytics New Applications

08.20
Opening Presentation: Identifying Opportunities & Developing an Action Plan to Advance Data Analytics in Existing & Novel Areas

Synopsis

  • Prioritizing opportunities, identifying low-hanging fruit and setting long-term goals
  • Measuring which applications will deliver the highest ROI
  • Considering silo structures and establishing an organizational set-up effective for collaborative data analytics
  • Understanding technology set-up and requirements
  • Where next? Translating successful analytics to new applications in the upstream environment

09.00
Panel Discussion: Taking the Application of Machine Learning to New Upstream Areas

Synopsis

  • Reviewing where and how machine learning is improving current upstream performance, onshore and offshore
  • Understanding particular challenges of preparing and gathering data for machine learning models and sharing strategies to overcome them
  • Identifying new opportunities in the upstream ecosystem where current successes could be translated
  • Determining what is needed from each player to increase efficacy down the line
  • Integrating machine learning with other analytics tools across the entire ecosystem

09.40
Panel Discussion: Exploring the Nuances of Subsurface Analytics: Unveiling Emerging Opportunities

Synopsis

  • Applying data analytics to subsurface problems: Current areas of successful activity
  • Considering production successes: What analytics techniques can and can’t be translated to the subsurface?
  • Proving short-term value and results to change mindsets and traditional approaches to interpreting structural geology
  • Reviewing software options that can analyze petrotechnical and business data together to support both discovery analytics and operational workflows

10.20
Morning Refreshments & Networking

10.50
Roundtables: New Analytics Applications Discussion – Identifying Opportunities & Overcoming Domain-Specific Challenges

Synopsis

This session will break out into different disciplines to:

  • Discuss current analytics projects being pursued to identify areas of success and inspire new opportunities.
  • Share some of the lessons learned in overcoming challenges relating to people, technology, culture and change, specific to each area of E&P.

Real-World Application Use Cases: 2nd Round

11.20
Use Case 3 – ConocoPhillips’ Canadian Steam Assisted Gravity Drainage (SAGD) Project

Synopsis

  • Utilizing historical data from Surmont in Machine and Deep Learning techniques to forecast oil/water production
  • Training predictive models to recommend short-term optimal steam targets for a given set of wells
  • Developing an end-user interface to deploy models and methods in the field
  • Learning ConocoPhillips’ successes and challenges throughout the SAGD project from data gathering to modelling to optimization to deployment

11.50
Use Case 4 – Leveraging Deep Learning for Improved Predictive Analytics

  • Joseph Pauly Data Scientist , Pioneer Natural Resources Company

Synopsis

  • Optimizing vertical wells workover for improved production
  • Analyzing over 5 million dynocards and their trend signals for dysfunctions: Usage in cloud environments
  • Utilizing deep learning algorithms for shape detection and time series analysis
  • Building the solution at scale: Exploring the asset tree model, field communications and dashboarding for SMEs

12.20
Lunch

13.20
Use Case 5 – Ingesting and Leveraging Upstream Data in a Data Lake

Synopsis

  • Exploring the upstream landscape and opportunities for continuous improvement through analytics
  • Examining BP’s upstream information management system
  • Discovering processes for data acquisition and integration
  • Learning about a use case involving conceptual architecture

13.50
Use Case 6 – A Journey from Unsupervised to Supervised Learning

Synopsis

  • Exploring the design journey of an AI solution pipeline
  • Discovering how this solution has learned the SMEs interaction with the tool to understand the business use case
  • Overcoming limited amounts of clean tagged data by transitioning from an unsupervised learning system to a fully supervised and predictive solution
  • Informing decisions for completion design through a high-resolution Frac pumping job assessment tool

14.30
Afternoon Refreshments

14.50
Audience Discussion: Reviewing Existing and Emerging Tools & Technologies

Synopsis

  • Evaluating the latest tools, technologies and trends that are benefitting the industry and learning how they are being utilized
  • Sharing success stories and lessons learned from implementing new tech
  • Exploring strategies to identify appropriate technology for different functions
  • Measuring the efficacy of analytics tools
  • Reviewing technology development from within the team vs outsourcing software and tools

15.30
Chair’s Closing Remarks

  • David Fulford Sr. Staff Reservoir Engineer, Exploration Evaluation, Apache

15.40
Conference Close