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Utah FORGE 2-2404: Determination of Reservoir-Scale Stress State Presentation Slides

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This PowerPoint summarizes the integration of multiple approaches and data to constrain wellbore stress models at Utah FORGE. This stress determination used faulting theory, breakouts, and drilling-induced cracks detected in image logs. Wellbore stress profiles were established for the four deep Utah FORGE wells: three vertical wells (78B-32, 56-32, 58-32), and one deviated well (16A(78)-32). This presentation is part of Utah FORGE project 2-2404: "Application of Advanced Techniques for Determination of Reservoir-Scale Stress State at Utah FORGE." Dr. Ahmad Ghassemi at the University of Oklahoma is the project PI.

Citation Formats

TY - DATA AB - This PowerPoint summarizes the integration of multiple approaches and data to constrain wellbore stress models at Utah FORGE. This stress determination used faulting theory, breakouts, and drilling-induced cracks detected in image logs. Wellbore stress profiles were established for the four deep Utah FORGE wells: three vertical wells (78B-32, 56-32, 58-32), and one deviated well (16A(78)-32). This presentation is part of Utah FORGE project 2-2404: "Application of Advanced Techniques for Determination of Reservoir-Scale Stress State at Utah FORGE." Dr. Ahmad Ghassemi at the University of Oklahoma is the project PI. AU - Ghassemi, Ahmad A2 - Ye, Zhi A3 - Fang, Yuan DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Laboratory of the Rockies DO - KW - geothermal KW - energy KW - fracture mechanics KW - focal mechanism KW - anelastic strain recovery KW - DFIT KW - wellbore KW - stress characterization KW - stress model KW - in-situ stress KW - presentation KW - slides KW - induced seismicity KW - reservoir stress KW - Utah FORGE KW - EGS KW - image logs KW - faulting theory KW - breakouts KW - drilling-induced cracks LA - English DA - 2022/07/31 PY - 2022 PB - The University of Oklahoma T1 - Utah FORGE 2-2404: Determination of Reservoir-Scale Stress State Presentation Slides UR - https://data.openei.org/submissions/8506 ER -
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Ghassemi, Ahmad, et al. Utah FORGE 2-2404: Determination of Reservoir-Scale Stress State Presentation Slides. The University of Oklahoma, 31 July, 2022, GDR. https://gdr.openei.org/submissions/1467.
Ghassemi, A., Ye, Z., & Fang, Y. (2022). Utah FORGE 2-2404: Determination of Reservoir-Scale Stress State Presentation Slides. [Data set]. GDR. The University of Oklahoma. https://gdr.openei.org/submissions/1467
Ghassemi, Ahmad, Zhi Ye, and Yuan Fang. Utah FORGE 2-2404: Determination of Reservoir-Scale Stress State Presentation Slides. The University of Oklahoma, July, 31, 2022. Distributed by GDR. https://gdr.openei.org/submissions/1467
@misc{OEDI_Dataset_8506, title = {Utah FORGE 2-2404: Determination of Reservoir-Scale Stress State Presentation Slides}, author = {Ghassemi, Ahmad and Ye, Zhi and Fang, Yuan}, abstractNote = {This PowerPoint summarizes the integration of multiple approaches and data to constrain wellbore stress models at Utah FORGE. This stress determination used faulting theory, breakouts, and drilling-induced cracks detected in image logs. Wellbore stress profiles were established for the four deep Utah FORGE wells: three vertical wells (78B-32, 56-32, 58-32), and one deviated well (16A(78)-32). This presentation is part of Utah FORGE project 2-2404: "Application of Advanced Techniques for Determination of Reservoir-Scale Stress State at Utah FORGE." Dr. Ahmad Ghassemi at the University of Oklahoma is the project PI.}, url = {https://gdr.openei.org/submissions/1467}, year = {2022}, howpublished = {GDR, The University of Oklahoma, https://gdr.openei.org/submissions/1467}, note = {Accessed: 2026-08-17} }

Details

Data from Jul 31, 2022

Last updated Feb 18, 2025

Submitted Jan 29, 2024

Organization

The University of Oklahoma

Contact

Ahmad Ghassemi

Authors

Ahmad Ghassemi

The University of Oklahoma

Zhi Ye

The University of Oklahoma

Yuan Fang

The University of Oklahoma

Research Areas

DOE Project Details

Project Name Utah FORGE

Project Lead Lauren Boyd

Project Number EE0007080

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