37th Annual CREWES Sponsors Meeting
Banff, Alberta, Canada, December 3-December 5, 2025
This page will be updated several times before the meeting. Please check back often for updates!
Note: All dates and times on this page are Mountain Standard Time (MST), which is UTC -7 hours
Dear CREWES sponsor representatives, partners, and invited guests: The annual CREWES Sponsors' Meeting and Technical Review, which will take place in Banff, Alberta, Canada, will start in the evening of Wednesday December 3rd and finsh the afternoon of December 5th. The event will take the form of a conference style meeting with both oral and poster presentation programs, an icebreaker event, and a banquet.
COORDINATES
Banff Park Lodge,201 Lynx St,Banff, Alberta, Canada,T1L 1K5
REGISTRATION
In addition to booking your room (see ACCOMMODATION below), please register with CREWES by emailing crewesinfo@crewes.org. Provide your name, company/organization, and any information that might be pertinent (arrival time, departure time, etc). Feel free to register more than one person from your organization with a single email, but include each person's name and information similarly. (This will allow us to plan food and coffee.)
ACCOMMODATION
We recommend all participants arrange to stay at the Banff Park Lodge hotel for two nights, checking in December 3rd and checking out December 5th. Checking out Friday morning, either prior to the start of session or during coffee, is optimal. The hotel will store luggage for the remainder of the Friday sessions. Please book your room as early as possible. To book your room with the CREWES rate, please visit Banff Park Lodge Online Registration, or call 1-800-661-9266 and mention you are part of the sponsor/participant block for CREWES 2025, with code #848945.
TECHNICAL PROGRAM
Please click here for the final draft of the technical presentation.
The big questions we've been asking at CREWES in 2023, which drive the research you will see presented, are:
- How do we monitor CO2 injection and storage reliably, at low-cost, and with an understanding of uncertainties?
- How do we engage the ideas and principles of elastic FWI to create high resolution, multiparameter, and time lapse reservoir model estimates?
- How do we merge machine learning technologies with classic seismic processing to make algorithms that work?
- How do we design and deploy standard, broadband, and fiberoptic seismic sensing acquisition to balance monitoring effectiveness and cost?