33rd Annual CREWES Sponsors Meeting
Online [Zoom], December 2-4, 2021
Note: All dates and times on this page are Mountain Standard Time (MST), which is UTC -7 hours
Thank you to all our sponsors and meeting attendees for making out 33rd Annual CREWES Meeting a success!
Day 1 (December 2rd, 2021)
Session 1 (D. Lawton). Acquisition, field applications and DAS: 8:00 am
Welcome and overview: 8:00 am
Talk 2. Fibre trace registration by cross-correlations - can we successfully predict helically wound fibre pitch angle from recorded data?
Talk 3. An encoder-decoder CNN for DAS-to-geophone transformation
Talk 5. Source wavefield estimation in VSP full waveform inversion
Talk 6. Pre-processing of the 2018 CaMI VSP and parameterization for DAS FWI
Talk 7. The 2018 CREWES VSP survey: FWI of the accelereomter and straight DAS fiber datasets
Session 2 (D. Trad). Machine Learning and Data Science: 10:40 am
Talk 8. Seismic inversion with gradient boosting
Talk 9. GPU applications for modelling, migration, FWI, and machine learning
Talk 10. Convolutional neural network-based reverse time migration with multiple energy
Talk 12. Learning the elastic wave equation with Fourier Neural Operators
Talk 13. Facies classification with parametric and nonparametric statistics
Wrap up: 12:40 pm
Day 2 (December 3th, 2021)
Session 3 (K. Innanen). Full Waveform Inversion and Amplitude Inversion: 8:00 am
Talk 16. Statistical-mechanical models as tools for seismic data analysis and inversion
Talk 17. Local optimization approaches for simultaneous AVO inversion based on re-parameterized Zoeppritz equations
Talk 18. Reducing the influence of remnant noise on FWI with misfit modification
Talk 20. Inversion of azimuthal PP-wave amplitudes without NMO correction for fracture weaknesses
Session 4 (D. Trad). CO2, EOR and Geothermal Applications: 10:20 am
Talk 21. Time-lapse analysis of CaMI.FRS CO2 VSP data
Talk 22. Time-lapse EFWI of CO2 injection at CaMI.FRS using VSP: a feasibility study
Talk 23. Passive source location by diffraction scanning
Talk 25. Shiny web applications for optimization of DFIT event detection with unsupervised learning
Talk 27. Full waveform source and medium determination from seismic-while-drilling data
Talk 28. Getting up and running with the short course codes
Wrap up: 12:40 pm
Day 3 (December 4th, 2021)
Short Course: Creating Machine Learning Apps in R with Shiny: 9:00 am
Setup (please complete this before the course begins if you want to follow along on your own computer):
- Download and install R, select the mirror location and OS version: R-Project
- Download and install RStudio Desktop - free version - for your OS: RStudio
- Download course material, unzip, and open all the coding files in RStudio so necessary libraries can be automatically installed: Course materials
- Create an account at Nasdaq: For the WTI Oil Price Forecast app, a QuandL key is needed. For that, go to your "Account Settings" to access your QuandL key: Nasdaq
01-Machine_Learning_Apps_in_R_with_Shiny.mp4Agenda:
- Introduction to R (30 minutes)
- Introduction to HTML (15 minutes)
- Introduction to CSS (15 minutes)
- Shiny App for Facies Classification (60 minutes)
- Break (10 or 15 min)
- Flexdashboard App for Oil Price Forcasting (60 minutes)