Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/11805
Authors: Rinaldi, Antonio P.* 
Nespoli, Massimo* 
Title: TOUGH2-seed: A coupled fluid flow and mechanical-stochastic approach to model injection-induced seismicity
Issue Date: Nov-2017
Series/Report no.: /108 (2017)
DOI: 10.1016/j.cageo.2016.12.003
URI: http://hdl.handle.net/2122/11805
Abstract: Understanding the injection-induced triggering mechanism is a fundamental step towards controlling the seismicity generated by deep underground exploitation. Here we propose a modeling approach based on coupling the TOUGH2 simulator with a geomechanical-stochastic model. The hydro-mechanical-stochastic model provides a good representation of different mechanisms influencing each other during and after the injection phase. Each mechanism affects the induced seismicity in a different way and at different times during the reservoir stimulation, confirming that a complex interaction is in place, and that more sophisticated and physics-based approaches coupled with statistical model are required to explain such a complex interaction. In addition to previous statistical and hybrid models, our approach accounts for a full 3D formulation of both stresses and fluid flow, further including all the TOUGH2 capabilities. Furthermore, it includes interactions between triggered seismic events through calculation of static stress transfer. In this work, we present the main capabilities of TOUGH2-SEED and apply the model to the Basel EGS case, successfully reproducing the injection pressure as well as the evolution of the seismicity.
Appears in Collections:Papers Published / Papers in press

Files in This Item:
File Description SizeFormat 
1-s2.0-S0098300416307609-main.pdf1.63 MBAdobe PDFView/Open
Show full item record

Page view(s)

3
Last Week
0
Last month
0
checked on Jan 16, 2019

Download(s)

1
checked on Jan 16, 2019

Google ScholarTM

Check

Altmetric