EGS Stimulation Microseismicity Data Catalog
URL: https://gdr.openei.org/submissions/249
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.
Source: DEEPEN Leapfrog Geodata Model Cleaned and Reformatted Exploration Datasets from Newberry Volcano
About this Resource
| Last updated | unknown |
|---|---|
| Created | unknown |
| Name | EGS Stimulation Microseismicity Data Catalog |
| Format | Web Page |
| License | Creative Commons Attribution |
| Created | 1 year ago |
| Media type | text/html |
| has views | False |
| id | e9cd0fc3-5b03-40d4-a3d8-16685d32bdd1 |
| metadata modified | 1 year ago |
| package id | 2ee40284-92a3-49f3-a1e5-2b2bb798bdc7 |
| position | 9 |
| state | active |