Pre-ACT webinar #4

Pre-ACT webinar #4

Pre-ACT webinar #4

Start
13/05/2020 10:00 Add to calendar
End
13/05/2020 11:00

Part 1: Deep learning a poro-elastic rock physics model for pressure and saturation discrimination

Part 2: Bayesian rock physics inversion for monitoring: CO2 saturation, distribution and pore pressure estimation


Register for the Webinar 


 

PRESENTER(S):

Wolfgang Weinzierl, Research Scientist, GFZ

Bastien Dupuy, Research Scientist, SINTEF

DATE: May 13, 2020

TIME: 10:00 – 11:00 AM (CET)

DURATION: 1.0  hrs incl. Q&A

 

Description/purpose

The ERA-ACT funded Pre-ACT project presents findings from its Work Package 2, focusing on estimating relevant CO2 storage monitoring parameters that can be used in conformance and decision-making studies. Discrimination between competitive effects (saturation and pore pressure) on geophysical observables will be discussed and quantified with different approaches.

Wolfgang Weinzierl (Research Scientist, GFZ) will present a deep neural network approach to rock physics inversion. The latent vector in this case is a subset of the viscoelastic attributes VP, VS, ρ, QP and QS. After an initial investigation of the performance of different neural network architectures for predicting rock physics properties, tests inverting for a range of parameters are presented. The developed methodology is subsequently applied to a scenario-based simulation of CO2 injection targeting a shallow aquifer at the Svelvik ridge, Norway.

Bastien Dupuy (research scientist, SINTEF) will then present a complimentary approach based on Bayesian inversion. Quantitative monitoring workflow will be described, by combining geophysical imaging with uncertainty assessment with Bayesian rock physics inversion in a second stage. This process allows for thorough estimation and propagation of uncertainty and provides estimates of relevant monitoring properties (saturation, fluid distribution, pore pressure) with confidence intervals. Such approach is crucial for proper conformance monitoring and associated decision-making. Examples will be shown using Sleipner, Snøhvit, Smeaheia or Svelvik datasets.

 

 

About the Pre-ACT Webinars

·        To access the webinar, you must register via the link above. By registering you will receive a unique link that you use to enter the webinar.

·        The webinar will be open 5 minutes prior to start.

·        Interested, but can't attend? Register anyway, and we'll send you a link to the recording.

Best regards,

The Pre-ACT Team

Questions? Contact: Arnt Grøver

Research Scientist