Rock fines breakage by flow-induced stresses against drag: geo-energy applications
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(Published version)
Date
2024
Authors
Borazjani, S.
Hashemi, A.
Nguyen, C.
Loi, G.
Russell, T.
Khazali, N.
Yang, Y.
Dang-Le, B.
Bedrikovetsky, P.
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Journal article
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Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 2024; 10(1):89-1-89-28
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Sara Borazjani, Abolfazl Hashemi, Cuong Nguyen, Grace Loi, Thomas Russell, Nastaran Khazali, Yutong Yang, Bryant Dang-Le, Pavel Bedrikovetsky
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Abstract
The paper presents a strength-failure mechanism for colloidal detachment by breakage and permeability decline in reservoir rocks. The current theory for permeability decline due to colloidal detachment, including microscale mobilisation mechanisms, mathematical and laboratory modelling, and upscaling to natural reservoirs, is developed only for detrital particles with detachment that occurs against electrostatic attraction. We establish a theory for detachment of widely spread authigenic particles due to breakage of the particle-rock bonds, by integrating beam theory of particle deformation, failure criteria, and creeping flow. Explicit expressions for stress maxima in the beam yield a graphical technique to determine the failure regime. The core-scale model for fines detachment by breakage has a form of maximum retention concentration of the fines, expressing rock capacity to produce breakable fines. This closes the governing system for authigenic fines transport in rocks. Matching of the lab coreflood data by the analytical model for 1D flow exhibits two-population particle behaviour, attributed to simultaneous detachment and migration of authigenic and detrital fines. High agreement between the laboratory and modelling data for 16 corefloods validates the theory. The work is concluded by geo-energy applications to (i) clay breakage in geological faults, (ii) typical reservoir conditions for kaolinite breakage, (iii) well productivity damage due to authigenic fnes migration, and (iv) feasibility of fines breakage in various geoenergy extraction technologies.
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© The Author(s) 2024. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.