Well Logs: A Non-Invasive Approach for Elucidating the Spatial Distribution of In-Situ Stress in Deep Subsurface Geologic Formations Considered for CO2 Storage
Abstract
Routine and geomechanical well logs for 3 wells— State Otsego Lake 8-15A, Lawnichak 9-33, Chester 8-16.
- Authors:
-
- Battelle
- Publication Date:
- Other Number(s):
- 9a9aad1f-9f89-45ac-827f-0238cf90bfeb
- DOE Contract Number:
- FE0031686
- Research Org.:
- National Energy Technology Laboratory - Energy Data eXchange; NETL
- Sponsoring Org.:
- USDOE Office of Fossil Energy (FE)
- Subject:
- DT; Michigan Basin; Niagaran reef; Silurian; anisotropy; azimuth; carbonates; delta time; dipole; geomechanics; las; shear; sonic; stress; triple combo; velocity; well logs
- OSTI Identifier:
- 1890665
- DOI:
- https://doi.org/10.18141/1890665
Citation Formats
Kelley, Mark. Well Logs: A Non-Invasive Approach for Elucidating the Spatial Distribution of In-Situ Stress in Deep Subsurface Geologic Formations Considered for CO2 Storage. United States: N. p., 2022.
Web. doi:10.18141/1890665.
Kelley, Mark. Well Logs: A Non-Invasive Approach for Elucidating the Spatial Distribution of In-Situ Stress in Deep Subsurface Geologic Formations Considered for CO2 Storage. United States. doi:https://doi.org/10.18141/1890665
Kelley, Mark. 2022.
"Well Logs: A Non-Invasive Approach for Elucidating the Spatial Distribution of In-Situ Stress in Deep Subsurface Geologic Formations Considered for CO2 Storage". United States. doi:https://doi.org/10.18141/1890665. https://www.osti.gov/servlets/purl/1890665. Pub date:Fri Sep 30 00:00:00 EDT 2022
@article{osti_1890665,
title = {Well Logs: A Non-Invasive Approach for Elucidating the Spatial Distribution of In-Situ Stress in Deep Subsurface Geologic Formations Considered for CO2 Storage},
author = {Kelley, Mark},
abstractNote = {Routine and geomechanical well logs for 3 wells— State Otsego Lake 8-15A, Lawnichak 9-33, Chester 8-16.},
doi = {10.18141/1890665},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Sep 30 00:00:00 EDT 2022},
month = {Fri Sep 30 00:00:00 EDT 2022}
}
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