skip to main content

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

Hydraulic responses from periodic hydraulic tests conducted at the Mirror Lake Fractured Rock Research Site, during the summer of 2015. These hydraulic responses were measured also using distributed acoustic sensing (DAS) which is cataloged in a different submission under this grant number. The tests are explained in detail in Matthew Cole's MS Thesis which is cataloged here. The injection and drawdown data and the codes used to analyze the data. Sinusoidal Data is a Matlab data file containing a data table for each period-length test. Within each table is a column labeled: time (seconds since beginning of pumping), Inj_m3pm (formation injection in cubic meters per minute), and head for each observation well (meters). The three Matlab script files (*.m) were used to analyze hydraulic responses from the data file above. High-Pass Sinusoid is a routine for filtering the data, computing the FFT, and extracting phase and amplitude values. Borestore is a routine which contains the borehole storage analytic solution and compares modeled amplitude and phase from this solution to computed amplitude and phase from the data. Patsearch Borestore is a routine containing the built-in pattern search optimization method. This minimizes the total error between modeled and actual amplitude and phasemore » in Borestore. Comments within the script files contain more specific instructions for their use. « less
Authors:
Publication Date:
Report Number(s):
997
DOE Contract Number:
EE0006763
Product Type:
Dataset
Research Org(s):
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)
Geolocation:
POLYGON ((-71.699746896362 43.944320015535,-71.699746896362 43.942544862039,-71.701662745667 43.942544862039,-71.701662745667 43.944320015535,-71.699746896362 43.944320015535))
Subject:
15 Geothermal Energy; geothermal; energy; periodic hydraulic tests; interference tests; DAS; pulse interference tests; distributed acoustic sensing; hydraulic testing; matlab; acoustic sensing data
Related Identifiers:
OSTI Identifier:
1432546

Cole, Matthew. Distributed Acoustic Sensing (DAS) Data for Periodic Hydraulic Tests: Hydraulic Data. United States: N. p., Web. doi:10.15121/1432546.
Cole, Matthew. Distributed Acoustic Sensing (DAS) Data for Periodic Hydraulic Tests: Hydraulic Data. United States. doi:10.15121/1432546.
Cole, Matthew. 2015. "Distributed Acoustic Sensing (DAS) Data for Periodic Hydraulic Tests: Hydraulic Data". United States. doi:10.15121/1432546. https://www.osti.gov/servlets/purl/1432546.
@misc{osti_1432546,
title = {Distributed Acoustic Sensing (DAS) Data for Periodic Hydraulic Tests: Hydraulic Data},
author = {Cole, Matthew},
abstractNote = {Hydraulic responses from periodic hydraulic tests conducted at the Mirror Lake Fractured Rock Research Site, during the summer of 2015. These hydraulic responses were measured also using distributed acoustic sensing (DAS) which is cataloged in a different submission under this grant number. The tests are explained in detail in Matthew Cole's MS Thesis which is cataloged here. The injection and drawdown data and the codes used to analyze the data. Sinusoidal Data is a Matlab data file containing a data table for each period-length test. Within each table is a column labeled: time (seconds since beginning of pumping), Inj_m3pm (formation injection in cubic meters per minute), and head for each observation well (meters). The three Matlab script files (*.m) were used to analyze hydraulic responses from the data file above. High-Pass Sinusoid is a routine for filtering the data, computing the FFT, and extracting phase and amplitude values. Borestore is a routine which contains the borehole storage analytic solution and compares modeled amplitude and phase from this solution to computed amplitude and phase from the data. Patsearch Borestore is a routine containing the built-in pattern search optimization method. This minimizes the total error between modeled and actual amplitude and phase in Borestore. Comments within the script files contain more specific instructions for their use.},
doi = {10.15121/1432546},
year = {2015},
month = {7} }
  1. The Geothermal Data Repository (GDR) is the submission point for all data collected from researchers funded by the U.S. Department of Energy's Geothermal Technologies Office (DOE GTO). The DOE GTO is providing access to its geothermal project information through the GDR. The GDR is powered by OpenEI, an energy information portal sponsored by the U.S. Department of Energy and developed by the National Renewable Energy Laboratory (NREL).
No associated Collections found.