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Mapping Fracture Network Creation with Microseismicity During EGS Demonstrations

Metadata Updated: January 20, 2025

This a report for the project "Mapping Fracture Network Creation with Microseismicity During EGS Demonstrations". Effective enhanced geothermal systems (EGS) require optimal fracture networks for efficient heat transfer between hot rock and fluid. Microseismic mapping is a key tool used to infer the subsurface fracture geometry. Traditional earthquake detection and location techniques are often employed to identify microearthquakes in geothermal regions. However, most commonly used algorithms may miss events if the seismic signal of an earthquake is small relative to the background noise level or if a microearthquake occurs within the coda of a larger event. Consequently, we have developed a set of algorithms that provide improved microearthquake detection. Our objective is to investigate the microseismicity at the DOE Newberry EGS site to better image the active regions of the underground fracture network during and immediately after the EGS stimulation. Detection of more microearthquakes during EGS stimulations will allow for better seismic delineation of the active regions of the underground fracture system. This improved knowledge of the reservoir network will improve our understanding of subsurface conditions, and allow improvement of the stimulation strategy that will optimize heat extraction and maximize economic return.

This project is the FY14 continuation of FY13 AOP project 25728, which had its origins as the ARRA lab project AID 19981.

Access & Use Information

Public: This dataset is intended for public access and use. License: Creative Commons Attribution

Downloads & Resources

Dates

Metadata Created Date January 11, 2025
Metadata Updated Date January 20, 2025

Metadata Source

Harvested from OpenEI data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date January 11, 2025
Metadata Updated Date January 20, 2025
Publisher Lawrence Livermore National Laboratory
Maintainer
Identifier https://data.openei.org/submissions/6744
Data First Published 2014-04-18T06:00:00Z
Data Last Modified 2017-06-22T22:35:06Z
Public Access Level public
Bureau Code 019:20
Metadata Context https://openei.org/data.json
Metadata Catalog ID https://openei.org/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Data Quality True
Datagov Dedupe Retained 20250120143002
Harvest Object Id 824b60d3-bf0f-4e27-b8fa-498c68aed9ff
Harvest Source Id 7cbf9085-0290-4e9f-bec1-91653baeddfd
Harvest Source Title OpenEI data.json
Homepage URL https://gdr.openei.org/submissions/432
License https://creativecommons.org/licenses/by/4.0/
Old Spatial {"type":"Polygon","coordinates":-121.4333333,43.51666667,-121.0333333,43.51666667,-121.0333333,43.91666667,-121.4333333,43.91666667,-121.4333333,43.51666667}
Program Code 019:006
Projectlead Lauren Boyd
Projectnumber FY14 AOP 1.1.0.19
Source Datajson Identifier True
Source Hash 2d34b3ef2f5cb4a44307652ac0b559c6ed0237227359b35c3cdac8fd144a2d08
Source Schema Version 1.1
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