Relocated Earthquake Catalog for West Texas Geothermal Field Hazard Study, 2008-2011

645 seismic events were identified and manually reviewed for a study of seismic hazard near the El Paso–Ciudad Juárez metropolitan area. Victor Salles and colleagues relocated these events using the EQCCT deep learning algorithm on 2008-2011 waveform data, refined with NonLinLoc and GrowClust3D. This dataset supports the 2025 case study assessing seismic hazard potential for future geothermal energy development in the tectonically active southern Rio Grande Rift.

Use Cases

• Model seismic hazard potential based on relocated earthquake locations and magnitudes.
• Analyze spatiotemporal patterns of low-magnitude seismicity in the southern Rio Grande Rift.
• Validate deep learning earthquake detection algorithms like EQCCT against manually reviewed catalogs.
• Study the relationship between tectonic activity and geothermal resource development in West Texas.

Strengths

• Contains 645 manually reviewed seismic events, ensuring a verified catalog.
• Event locations were refined using a 3D velocity model (PB3D) and hierarchical clustering (GrowClust3D), suggesting improved precision.
• Focuses on a specific, tectonically active region of interest for geothermal development.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is known (645), but the specific variables and file formats are unknown.
• Data covers a limited time range (2008-2011); current seismic activity is not represented.

Provenance

Source

Salles, Victor; Texas Data Repository Harvested Dataverse

Collection Method

Earthquakes detected using the EQCCT deep learning algorithm on waveform data, with locations refined using NonLinLoc and GrowClust3D.

Time Range

2008 to 2011

Freshness

Last updated 2026-04-27 04:26:33; freshness should be verified.

Geography

El Paso–Ciudad Juárez metropolitan area, West Texas, southern Rio Grande Rift