DAMAST - Dams and Seismicity

! ! ! Current Restrictions due to Corona Crisis ! ! !

The actual on-site activities, such as building of stations or drilling of wells have been postponed due to the Corona crisis. We are in permanent contact with our Georgian partners and now focus on the other activities such as modelling and analysis of the already compiled data.

 

Activity Overview

 

2019

 

Field Trip May

 

Client II Conference

(presentation, poster)

 

 

Kick-off Meeting October

 

Field Trip October

 

Field Trip November

 

2020

 

National Kick-Off Meeting

 

Project Meeting

 

Field Trip Aug/Sept

   

 

Recent Activities and Results from the Different Working Groups

 

Stress and Pressure Compilation

Geomechanic investigation of water level induced pore pressure

and stress. >>Read more

 

Regional Deformation Monitoring

Monitoring of Regional deformation by PS InSAR and GPS/GNSS

campaigns.>>Read more

 

Seismic Monitoring

Plan of seismic station locations based on October field trip.

>>Read more

 

Local Structural Monitoring with GB-SAR and Low Cost Monitoring Tool

Dam monitoring with ground based SAR (shown in position of

observation point West). >>Read more

 

Sedimentation and Sediment Characterization

Identification of sedimentary layers and investigation of sediment

properties. >>Read more

 

Concept for an integrated and modular early warning system (CEDIM)

A modern early warning system for safe operation providing

sustainable energy and minimizing risks. >>Read more

 

Next steps / Upcoming activities:

Drilling and logging (postponed due to Corona)

March 26/27 2020 Course at KTB Drillsite Windisch-Eschenbach for PhD-Students for core orientation, core description etc.

March 30 – April 1 2020 Course: Spatial Models for Categorical Data in Earth Science (PDF). Topics:

  • review established geostatistical approaches
  • present state-of-the-art geometric 3D geological modelling concepts
  • introduce a set of modern tools for considering uncertainties in spatial predictions of categorical data
  • describe concepts from information theory and the link to the analysis of uncertainties in these data sets; and
  • discuss modelling and visualisation of uncertainties of categorical spatial data

Set-up of numerical models:

  • 3D regional structural model (Rhino)
  • 3D regional FE-model (Hypermesh)
  • Geomechanical characterisation of the Enguri including real geometry and stress data (Abaqus)
  • 2D model for stresses around the power tunnel (Abaqus)