Abstract

Multiplet analysis is based on the identification of seismic events with very similar waveforms which are used then to enhance seismological analysis e.g. by precise relocation of sources. In underground fluid injection conditions, it is a tool frequently used for imaging of subsurface fracture system. We identify over 150 repeatedly activated seismic sources within seismicity cluster induced by fluid injection in NW part of The Geysers geothermal field (California). Majority of multiple events (ME) occur along N–S oriented planar structure which we interpret as a fault plane. Remaining ME are distributed along structures interpreted as fractures, forming together a system of interconnected cracks enabling fluid migration. Temporal analysis reveals that during periods of relatively low fluid injection the proportion of ME to non-multiple events is higher than during periods of high injection. Moreover, ME which occur within the fault differ in activity rate and source properties from ME designating the fractures and non-multiple events. In this study we utilize observed differences between ME occurring within various structures and non-multiple events to describe hydraulic conditions within the reservoir. We show that spatial and temporal analysis of multiplets can be used for identification and characterization of dominant fluid migration paths.

Highlights

  • Waveform data, metadata, or data products for this study were accessed through the Northern California Earthquake Data Center (NCEDC), https://doi.org/​10.​7932/NCEDC

  • (2) multiple events’ (ME)/single events’ (SE) ratio depends on the injection rate and is higher for low injection rate periods

  • Within structure D more ME occur during low injection periods

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Summary

Introduction

Metadata, or data products for this study were accessed through the Northern California Earthquake Data Center (NCEDC), https://doi.org/​10.​7932/NCEDC. Seismic catalog and calculated source parameters are available via IS-EPOS platform of Core Service Anthropogenic Hazards: https://tcs.ah-epos.eu[26,54,55] after registration and providing affiliation. Additional data related to this paper may be requested from the autho

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