SPE Workshop: Smart Integration in Production System Modeling 18 - 19 Feb 2020 The Woodlands Resort The Woodlands, Texas, USA

About the Workshop

This workshop will illustrate the current challenges, best practices and emerging approaches for improving integration in reservoir and production system modelling, focusing on opportunities for better data utilization and efficiencies. Priority will be given to case studies that illustrate the value of such integration, the practical implementation of solutions, and the experience of improving human workflows driving modelling efforts.

What is an SPE Workshop?

An SPE workshop is a multi-day event that fosters knowledge sharing in an intensive learning experience. It provides brief technical presentations followed by extensive Q&A and discussion.

Staged in an intimate setting, an SPE workshop brings together E&P professionals with common roles and challenges to share ideas that advance both technology and best practices. They provide an environment for frank, open discussion. Press is not invited to attend.

The workshop’s program committee members solicit presentations from top industry professionals. This ensures a robust technical program with presentations that are laser-focused on best practices, lessons learned, and case studies.

What You Receive

  • Released copies of the workshop presentations will be available to attendees following the conclusion of the workshop. Speakers do not write formal papers and are not expected to release their presentations for publication.
  • Attendees qualify for 1.6 SPE Continuing Education Units (CEU). One CEU equals 10 contact hours of participation. CEUs will be awarded through SPE Professional Development for participation and completion of SPE workshop. A permanent record of a participant's involvement and awarding of CEUs will be maintained by SPE.

Attention! Training Course Added to This Event: Data-Driven Reservoir Modeling by Shahab D. Mohaghegh

This course will demonstrate the power of Artificial Intelligence and Machine Learning and the difference they can make for informed decision making when it comes to objectives such as infill location optimization and reservoir production and recovery optimization once domain expertise becomes the foundation of their use and application in the hydrocarbon reservoirs.


Remaining consistent with workshop objectives and SPE guidelines, commercialism in presentations will not be permitted. Company logos are used only to indicate the affiliation of the presenter(s).