Related Datasets

Mapping Fracture Network Creation with Microseismicity During EGS Demonstrations

Publicly accessible License

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.

Citation Formats

TY  - DATA
AB  - 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.  
AU  - Templeton, Dennise C.
A2  - Matzel, Eric
A3  - Johanneson, Gardar
A4  - Myers, Stephen C.
A5  - Goebel, Meredith
DB  - Geothermal Data Repository
DP  - Open EI | National Renewable Energy Laboratory
DO  - 
KW  - geothermal
KW  - microseismic
KW  - EGS
KW  - fracture creation
KW  - mapping
KW  - algorithm
KW  - microseismicity
KW  - fracturing
KW  - fracture
KW  - Newberry
LA  - English
DA  - 2014/04/18
PY  - 2014
PB  - Lawrence Livermore National Laboratory
T1  - Mapping Fracture Network Creation with Microseismicity During EGS Demonstrations
UR  - https://gdr.openei.org/submissions/432
ER  -

Export Citation to RIS

Templeton, Dennise C., et al. Mapping Fracture Network Creation with Microseismicity During EGS Demonstrations. Lawrence Livermore National Laboratory, 18 April, 2014, Geothermal Data Repository. https://gdr.openei.org/submissions/432.

Templeton, D., Matzel, E., Johanneson, G., Myers, S., & Goebel, M. (2014). Mapping Fracture Network Creation with Microseismicity During EGS Demonstrations. [Data set]. Geothermal Data Repository. Lawrence Livermore National Laboratory. https://gdr.openei.org/submissions/432

Templeton, Dennise C., Eric Matzel, Gardar Johanneson, Stephen C. Myers, and Meredith Goebel. Mapping Fracture Network Creation with Microseismicity During EGS Demonstrations. Lawrence Livermore National Laboratory, April, 18, 2014.  Distributed by Geothermal Data Repository. https://gdr.openei.org/submissions/432

@misc{GDR_Dataset_432,
title = {Mapping Fracture Network Creation with Microseismicity During EGS Demonstrations},
author = {Templeton, Dennise C. and Matzel, Eric and Johanneson, Gardar and Myers, Stephen C. and Goebel, Meredith},
abstractNote = {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.  },
url = {https://gdr.openei.org/submissions/432},
year = {2014},
howpublished = {Geothermal Data Repository, Lawrence Livermore National Laboratory, https://gdr.openei.org/submissions/432},
note = {Accessed: 2025-05-29}
}

Details

Data from Apr 18, 2014

Last updated Jun 22, 2017

Submitted Aug 15, 2014