Cornell University Borehole Observatory Wireline Image Logs
This data set includes wireline geophysical data from well Cornell ESH #1 (API 31109300030000), known as the Cornell University Borehole Observatory, or CUBO. It is a stratigraphic well drilled to characterize potential EGS resources. The Drilling commenced on June 21, 2022 and total depth of 9790 feet below KB was reached on August 13, 2022. The upper part if the well was drilled through 9400 feet of sedimentary rocks before penetrating into 390 feet of crystalline basement rock.
Borehole image logs were collected from the open hole section (7800-9719.5 ft). The set includes images based on both resistivity of the rock within a 1 cm (0.39 in) depth from the borehole wall (measured with the Formation Microresistivity Image tool [FMI]) and images based on reflections of acoustic waves from the wall of the borehole (measured with an acoustic televiewer, the Ultrasonic Borehole Image device [UBI]). By presenting the two types of data adjacent to one another along a shared depth scale (vertical axis), the file also presents the relationships between FMI and UBI images of the borehole walls.
All data are presented in a single .pdf file. A "Readme.txt" file contains additional information about the included data and references for more in-depth descriptions.
Citation Formats
TY - DATA
AB - This data set includes wireline geophysical data from well Cornell ESH #1 (API 31109300030000), known as the Cornell University Borehole Observatory, or CUBO. It is a stratigraphic well drilled to characterize potential EGS resources. The Drilling commenced on June 21, 2022 and total depth of 9790 feet below KB was reached on August 13, 2022. The upper part if the well was drilled through 9400 feet of sedimentary rocks before penetrating into 390 feet of crystalline basement rock.
Borehole image logs were collected from the open hole section (7800-9719.5 ft). The set includes images based on both resistivity of the rock within a 1 cm (0.39 in) depth from the borehole wall (measured with the Formation Microresistivity Image tool [FMI]) and images based on reflections of acoustic waves from the wall of the borehole (measured with an acoustic televiewer, the Ultrasonic Borehole Image device [UBI]). By presenting the two types of data adjacent to one another along a shared depth scale (vertical axis), the file also presents the relationships between FMI and UBI images of the borehole walls.
All data are presented in a single .pdf file. A "Readme.txt" file contains additional information about the included data and references for more in-depth descriptions.
AU - Tester, J.W.
A2 - Fulton, P.M.
A3 - Jordan, T.E.
A4 - Gustafson, J.O.
A5 - Erdinc, B.
DB - Geothermal Data Repository
DP - Open EI | National Laboratory of the Rockies
DO -
KW - geothermal
KW - energy
KW - Cornell University
KW - CUBO
KW - DDU
KW - deep direct use
KW - district heating
KW - deep well
KW - well data
KW - drilling
KW - ESH-1
KW - API 31109300030000
KW - raw data
KW - Appalachian Basin
KW - image logs
LA - English
DA - 2026/04/24
PY - 2026
PB - Cornell University
T1 - Cornell University Borehole Observatory Wireline Image Logs
UR - https://gdr.openei.org/submissions/1895
ER -
Tester, J.W., et al. Cornell University Borehole Observatory Wireline Image Logs. Cornell University, 24 April, 2026, Geothermal Data Repository. https://gdr.openei.org/submissions/1895.
Tester, J., Fulton, P., Jordan, T., Gustafson, J., & Erdinc, B. (2026). Cornell University Borehole Observatory Wireline Image Logs. [Data set]. Geothermal Data Repository. Cornell University. https://gdr.openei.org/submissions/1895
Tester, J.W., P.M. Fulton, T.E. Jordan, J.O. Gustafson, and B. Erdinc. Cornell University Borehole Observatory Wireline Image Logs. Cornell University, April, 24, 2026. Distributed by Geothermal Data Repository. https://gdr.openei.org/submissions/1895
@misc{GDR_Dataset_1895,
title = {Cornell University Borehole Observatory Wireline Image Logs},
author = {Tester, J.W. and Fulton, P.M. and Jordan, T.E. and Gustafson, J.O. and Erdinc, B.},
abstractNote = {This data set includes wireline geophysical data from well Cornell ESH #1 (API 31109300030000), known as the Cornell University Borehole Observatory, or CUBO. It is a stratigraphic well drilled to characterize potential EGS resources. The Drilling commenced on June 21, 2022 and total depth of 9790 feet below KB was reached on August 13, 2022. The upper part if the well was drilled through 9400 feet of sedimentary rocks before penetrating into 390 feet of crystalline basement rock.
Borehole image logs were collected from the open hole section (7800-9719.5 ft). The set includes images based on both resistivity of the rock within a 1 cm (0.39 in) depth from the borehole wall (measured with the Formation Microresistivity Image tool [FMI]) and images based on reflections of acoustic waves from the wall of the borehole (measured with an acoustic televiewer, the Ultrasonic Borehole Image device [UBI]). By presenting the two types of data adjacent to one another along a shared depth scale (vertical axis), the file also presents the relationships between FMI and UBI images of the borehole walls.
All data are presented in a single .pdf file. A "Readme.txt" file contains additional information about the included data and references for more in-depth descriptions.},
url = {https://gdr.openei.org/submissions/1895},
year = {2026},
howpublished = {Geothermal Data Repository, Cornell University, https://gdr.openei.org/submissions/1895},
note = {Accessed: 2026-11-12}
}
Details
Data from Apr 24, 2026
Last updated Nov 12, 2026
Submitted Nov 12, 2026
Organization
Cornell University
Contact
Jefferson Tester
Authors
Keywords
geothermal, energy, Cornell University, CUBO, DDU, deep direct use, district heating, deep well, well data, drilling, ESH-1, API 31109300030000, raw data, Appalachian Basin, image logsDOE Project Details
Project Name Ground-Truthing: Exploratory Borehole Characterization and Modeling to Verify and Expand Techno-Economic Evaluation of Earth Source Heat at Cornell U
Project Lead Jeffrey Bowman
Project Number EE0009255
