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Title: Distributed Acoustic Sensing (DAS) Data for Periodic Hydraulic Tests

Abstract

California State University Long Beach evaluated hydraulic connectivity among geothermal wells using Periodic Hydraulic Testing (PHT) and Distributed Acoustic Sensing (DAS). The principal was to create a pressure signal in one well and observe the responding pressure signals in one or more observation wells to assess the permeability and storage of the fracture network that connects the two wells. DAS measured strain at mHz frequency in monitoring wells in response to PHT.

Authors:
;
Publication Date:
Research Org.:
DOE Geothermal Data Repository; California State University Long Beach
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Geothermal Technologies Program (EE-2C)
OSTI Identifier:
1432544
Report Number(s):
929
DOE Contract Number:  
EE0006763
Resource Type:
Data
Data Type:
Numeric Data
Country of Publication:
United States
Availability:
GDRHelp@ee.doe.gov
Language:
English
Subject:
15 Geothermal Energy; geothermal; energy; DAS; distributed acoustic sensing; Mirror Lake; New Hampshire; geomechanics; periodic hydraulic tests; Matlab; acoustic sensing data

Citation Formats

Coleman, Thomas, and Becker, Matthew. Distributed Acoustic Sensing (DAS) Data for Periodic Hydraulic Tests. United States: N. p., 2017. Web. doi:10.15121/1432544.
Coleman, Thomas, & Becker, Matthew. Distributed Acoustic Sensing (DAS) Data for Periodic Hydraulic Tests. United States. doi:10.15121/1432544.
Coleman, Thomas, and Becker, Matthew. Thu . "Distributed Acoustic Sensing (DAS) Data for Periodic Hydraulic Tests". United States. doi:10.15121/1432544. https://www.osti.gov/servlets/purl/1432544.
@article{osti_1432544,
title = {Distributed Acoustic Sensing (DAS) Data for Periodic Hydraulic Tests},
author = {Coleman, Thomas and Becker, Matthew},
abstractNote = {California State University Long Beach evaluated hydraulic connectivity among geothermal wells using Periodic Hydraulic Testing (PHT) and Distributed Acoustic Sensing (DAS). The principal was to create a pressure signal in one well and observe the responding pressure signals in one or more observation wells to assess the permeability and storage of the fracture network that connects the two wells. DAS measured strain at mHz frequency in monitoring wells in response to PHT.},
doi = {10.15121/1432544},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Jul 06 00:00:00 EDT 2017},
month = {Thu Jul 06 00:00:00 EDT 2017}
}

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