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Utah FORGE: Well 16A(78)-32 Stage 1 - Pressure Falloff Analysis

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This is an analysis of the pressure falloff in stage 1 fracture stimulation of FORGE well 16A(78)-32. The objective of this research is to understand the information content of the well stimulation data of FORGE Well 16A(78)-32. The Stage 1 step-rate test, a variant of the classic diagnostic fracture injection test (DFIT), contains valuable information about the success of well fracturing and the nature of resulting formation stimulation in the drainage volume of Well 16A(78). The analysis we have provided is based on the classic pressure transient analysis in petroleum reservoirs. The next step in the analysis is to use the information we have discovered in the analysis of tracer flowback data. This set of slides we have provided includes the pressure falloff analysis of the data recorded during stimulation of Stage 1 in injection Well 16A(78)-32 conducted in April of 2022. To honor multiple rate a superposition approach for linear flow regime was applied. The analysis yielded a permeability two orders of magnitude larger than permeability from cores. Our calculated permeability is essentially the effective permeability of micro- and macro-fracture system in the stimulated volume of the Well 16A(78)-32. Another observation is that after using the classic G-function plot, no closure stress was observed. This could suggest that pre-existing natural fractures were reopened during stimulation and yet had no propensity to close in accordance to the poroelastic properties.

Citation Formats

TY - DATA AB - This is an analysis of the pressure falloff in stage 1 fracture stimulation of FORGE well 16A(78)-32. The objective of this research is to understand the information content of the well stimulation data of FORGE Well 16A(78)-32. The Stage 1 step-rate test, a variant of the classic diagnostic fracture injection test (DFIT), contains valuable information about the success of well fracturing and the nature of resulting formation stimulation in the drainage volume of Well 16A(78). The analysis we have provided is based on the classic pressure transient analysis in petroleum reservoirs. The next step in the analysis is to use the information we have discovered in the analysis of tracer flowback data. This set of slides we have provided includes the pressure falloff analysis of the data recorded during stimulation of Stage 1 in injection Well 16A(78)-32 conducted in April of 2022. To honor multiple rate a superposition approach for linear flow regime was applied. The analysis yielded a permeability two orders of magnitude larger than permeability from cores. Our calculated permeability is essentially the effective permeability of micro- and macro-fracture system in the stimulated volume of the Well 16A(78)-32. Another observation is that after using the classic G-function plot, no closure stress was observed. This could suggest that pre-existing natural fractures were reopened during stimulation and yet had no propensity to close in accordance to the poroelastic properties. AU - Kazemi, Hossein A2 - Mindygaliyeva, Balnur A3 - Amini, Kaveh A4 - Uzun, Ozan DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Renewable Energy Laboratory DO - KW - geothermal KW - energy KW - Utah FORGE KW - multi-rate KW - step-down rate KW - micro-fractures KW - macro-fractures KW - fracture KW - tracer KW - flowback KW - tracer flowback KW - poroelastic properties KW - stimulation KW - formation stimulation KW - micro fractures KW - macro fractures KW - permeability KW - test KW - report KW - pressure falloff KW - FORGE KW - Utah LA - English DA - 2022/08/04 PY - 2022 PB - Colorado School of Mines T1 - Utah FORGE: Well 16A(78)-32 Stage 1 - Pressure Falloff Analysis UR - https://data.openei.org/submissions/7518 ER -
Export Citation to RIS
Kazemi, Hossein, et al. Utah FORGE: Well 16A(78)-32 Stage 1 - Pressure Falloff Analysis. Colorado School of Mines, 4 August, 2022, GDR. https://gdr.openei.org/submissions/1408.
Kazemi, H., Mindygaliyeva, B., Amini, K., & Uzun, O. (2022). Utah FORGE: Well 16A(78)-32 Stage 1 - Pressure Falloff Analysis. [Data set]. GDR. Colorado School of Mines. https://gdr.openei.org/submissions/1408
Kazemi, Hossein, Balnur Mindygaliyeva, Kaveh Amini, and Ozan Uzun. Utah FORGE: Well 16A(78)-32 Stage 1 - Pressure Falloff Analysis. Colorado School of Mines, August, 4, 2022. Distributed by GDR. https://gdr.openei.org/submissions/1408
@misc{OEDI_Dataset_7518, title = {Utah FORGE: Well 16A(78)-32 Stage 1 - Pressure Falloff Analysis}, author = {Kazemi, Hossein and Mindygaliyeva, Balnur and Amini, Kaveh and Uzun, Ozan}, abstractNote = {This is an analysis of the pressure falloff in stage 1 fracture stimulation of FORGE well 16A(78)-32. The objective of this research is to understand the information content of the well stimulation data of FORGE Well 16A(78)-32. The Stage 1 step-rate test, a variant of the classic diagnostic fracture injection test (DFIT), contains valuable information about the success of well fracturing and the nature of resulting formation stimulation in the drainage volume of Well 16A(78). The analysis we have provided is based on the classic pressure transient analysis in petroleum reservoirs. The next step in the analysis is to use the information we have discovered in the analysis of tracer flowback data. This set of slides we have provided includes the pressure falloff analysis of the data recorded during stimulation of Stage 1 in injection Well 16A(78)-32 conducted in April of 2022. To honor multiple rate a superposition approach for linear flow regime was applied. The analysis yielded a permeability two orders of magnitude larger than permeability from cores. Our calculated permeability is essentially the effective permeability of micro- and macro-fracture system in the stimulated volume of the Well 16A(78)-32. Another observation is that after using the classic G-function plot, no closure stress was observed. This could suggest that pre-existing natural fractures were reopened during stimulation and yet had no propensity to close in accordance to the poroelastic properties.}, url = {https://gdr.openei.org/submissions/1408}, year = {2022}, howpublished = {GDR, Colorado School of Mines, https://gdr.openei.org/submissions/1408}, note = {Accessed: 2025-05-08} }

Details

Data from Aug 4, 2022

Last updated Aug 22, 2024

Submitted Aug 4, 2022

Organization

Colorado School of Mines

Contact

Dr. Hossein Kazemi

303.384.2072

Authors

Hossein Kazemi

Colorado School of Mines

Balnur Mindygaliyeva

Colorado School of Mines

Kaveh Amini

Colorado School of Mines

Ozan Uzun

Colorado School of Mines

Research Areas

DOE Project Details

Project Name Utah FORGE

Project Lead Lauren Boyd

Project Number EE0007080

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