Table · dataset · 2020
Supplemental Information Dataset
Listed in ETH Zürich Research Collection
Injection-induced seismicity (IIS) typically occurs when pressure diffuses from a sedimentary target formation down into fractured and faulted, low-permeability, critically-stressed basement rock.
Description
Previous studies of IIS have used basin-scale models of pressure diffusion that rely on an equivalent porous medium (EPM) approach to assign hydraulic diffusivity and a triggering pressure (TP) criteria for seismic initiation.
We show that these models employed unrealistically-large values of hydraulic diffusivity, usually by neglecting the compressibility of the fractures in the specific storage coefficient, to result in pressure diffusion to seismogenic depths ( ≥ 2 km into the basement). The EPM-TP approach does not explicitly represent the mechanical and hydrologic behavior of fractures and faults, and it fails to explain why relatively few disposal wells are associated with IIS.
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We develop a parallelized, partially-coupled, hydro-mechanical, discrete fracture network and matrix model (DFNM) model with thousands of fractures and the capability to calculate Mohr-Coulomb (MC) failure to indicate seismicity and alter hydraulic diffusivity. In consistent comparisons, DFNM-MC simulations allow for deeper, more heterogeneous pressure diffusion than EPM-TP simulations, and they do not need to employ unrealistic diffusivity values to result in pressure diffusion to seismogenic depths.
A sensitivity analysis shows that small deviations in fault orientation ( ≤2 degrees from optimal) and fracture network density outside an intermediate range can drastically decrease the likelihood of IIS, potentially explaining why only a small fraction of disposal wells are associated with IIS. The EPM-TP approach is unsuitable to investigate IIS, but the DFNM-MC approach offers a promising, nuanced approach for further study.
Links
Where it is published
- ETH Zürich Research Collection record hdl.handle.net/20.500.11850/395361 ↗
landing page · from research collection ethz ch
- DOI doi.org/10.3929/ethz-b-000395361 ↗
DOI / persistent id · from research collection ethz ch
Catalogue records · 1
- OAI-PMH record research-collection.ethz.ch/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Awww.… ↗
metadata API · from research collection ethz ch
Topics
- From keywords
- Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Materials Science · Mathematics & Statistics · Medicine & Health · Physics · Psychology & Behavioral Science · Social Science
- Inferred from text
- Geophysics 69%
Provenance · 1 source records, 19 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ETH Zürich Research Collection | oai:www.research-collection.ethz.ch:20.500.11850/395361 | 8 d ago | JSON v1 |
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