Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

Mapping Fracture Network Creation with Microseismicity During EGS Demonstrations

Metadata Updated: June 25, 2021

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 June 24, 2021
Metadata Updated Date June 25, 2021

Metadata Source

Harvested from OpenEI data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date June 24, 2021
Metadata Updated Date June 25, 2021
Publisher Lawrence Livermore National Laboratory
Maintainer
Identifier https://data.openei.org/submissions/3249
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
Harvest Object Id f5523063-376e-4df1-9bc8-1ac0be30c985
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 7ceffec956528a0b57a2a8508dc1f0986813ea09
Source Schema Version 1.1
Spatial {"type":"Polygon","coordinates":-121.4333333,43.51666667,-121.0333333,43.51666667,-121.0333333,43.91666667,-121.4333333,43.91666667,-121.4333333,43.51666667}

Didn't find what you're looking for? Suggest a dataset here.