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Canadian Dip-in DAS (CanDiD) Project 2

Description: The objective of the CanDiD-2 project was to acquire distributed acoustic sensing (DAS) data in a deviated wellbore during hydraulic fracturing operations in nearby horizontal wells, and thereby to characterize the subsurface strain and microseismicity that accompanied the growth of tensile fractures during well stimulation. The experiment took place in the Grande Prairie region of northwestern Alberta, Canada. As one of the first times that a temporary optical fibre was used for this purpose in Canada, a secondary technical aim of CanDiD-2 was to evaluate the effectiveness of a temporarily deployed fibre. The data were acquired using a DAS gauge length of 10m and a spatial sampling interval of 1m, with a temporal sample rate of 1 kHZ. A fibre optic monocable was deployed from the wireline truck and pumped to a depth of nearly 5000m into a deviated well. The raw strain-rate observations were acquired in a proprietary data format and have been converted to .hdf5 data format, which can be read using the open source package h5py (https://www.h5py.org).
Authors: Eaton, David; University of Calgary; ORCID iD 0000-0001-6495-6093
Keywords: fiber optic
distributed acoustic sensing
DAS
microseismic monitoring
subsurface strain
temporary wireline optical fibre
hydraulic fracturing
Grande Prairie, Alberta
Field of Research: 
Earth and related environmental sciences
>
Geophysics
>
Seismology
Publication Date: 2024-11-08
Publisher: Federated Research Data Repository / dépôt fédéré de données de recherche
Funder: Natural Sciences and Engineering Research Council; Dynamics of fault activation by hydraulic fracturing: Insights from new technologies; ALLRP\548576-2019
URI: https://doi.org/10.20383/103.01091
Geographic Coverage: 
Place Name
Grande Prairie
City
Rural
Province /
Province / Territory
Alberta
Territory
 
Country
Canada
Geolocation Box: 
West Longitude
-120
East Longitude
-119
North Latitude
56.0
South Latitude
55.0
Geographic Point: 
Latitude
55.27
Longitude
-119.25

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Access to this dataset is subject to the following terms:
Creative Commons Attribution-NonCommercial 4.0 (CC BY-NC 4.0) https://creativecommons.org/licenses/by-nc/4.0/
Citation
Eaton, D. (2024). Canadian Dip-in DAS (CanDiD) Project 2. Federated Research Data Repository. https://doi.org/10.20383/103.01091