Understanding Poroelastic Stressing and Induced Seismicity with a Stochastic/Deterministic Model: an Application to an EGS Stimulation at Paralana, South Australia, 2011

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dc.contributor.authorRiffault, J
dc.contributor.authorDempsey, David
dc.contributor.authorArcher, R
dc.contributor.authorKelkar, S
dc.contributor.authorKarra, S
dc.date.accessioned2024-11-14T01:18:36Z
dc.date.available2024-11-14T01:18:36Z
dc.date.issued2016
dc.date.updated2023-06-08T21:45:14Z
dc.description.abstractTo create an Enhanced Geothermal System (EGS), cold water is injected at high pressure, along with acid, with the goal of reactivating pre-existing fractures and enhancing their permeability. Through increases in pore pressure and associated stress changes, shear failure occurs, which is part of the permeability enhancement process, but also results in induced seismicity. In spite of being the primary goal of stimulation, details about the spatiotemporal evolution of permeability are difficult to determine. One measure of its improvement is the increase in well injectivity, which is defined as the injected flow rate divided by the wellhead pressure. However, this measure is sensitive to both the volume of stimulated rock as well as the permeability increase, and so it does not uniquely constrain the stimulation state. To augment this analysis, we present an inverse modelling approach that incorporates both the injection records and the spatiotemporal distribution of induced seismicity. We present an application of the method to the Paralana-2 EGS stimulation undertaken in 2011 in South Australia. High pressure injection is modelled by solving coupled flow and heat transport equations in the reservoir simulator FEHM. In the model, the magnitude of permeability increase is a prescribed function of space and time. The injectivity profile observed at Paralana limits the possible set of permeability evolution scenarios, however, additional constraint is necessary to choose amongst these. As induced seismicity is a consequence of elevated pore pressure, we assume that the density of earthquake hypocenters is proportional to pore pressure rise. By comparing the pressure profiles modelled in the different scenarios to the high-resolution microearthquake data collected during the stimulation, we can pick the permeability enhancement distribution scheme most consistent with the injectivity and seismicity data.
dc.identifier.citationRiffault J, Dempsey D, Archer R, Kelkar S, Karra S (2016). Understanding Poroelastic Stressing and Induced Seismicity with a Stochastic/Deterministic Model: an Application to an EGS Stimulation at Paralana, South Australia, 2011. Stanford, California: 41st Workshop on Geothermal Reservoir Engineering.
dc.identifier.urihttps://hdl.handle.net/10092/107741
dc.rightsCC0 1.0 Universalen
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/
dc.subjectEGS
dc.subjectParalana
dc.subjectinduced seismicity
dc.subjectinjectivity
dc.subjectpermeability
dc.subject.anzsrc40 - Engineering::4019 - Resources engineering and extractive metallurgy
dc.titleUnderstanding Poroelastic Stressing and Induced Seismicity with a Stochastic/Deterministic Model: an Application to an EGS Stimulation at Paralana, South Australia, 2011
dc.typeConference Contributions - Published
uc.collegeFaculty of Engineering
uc.departmentCivil and Natural Resources Engineering
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