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dc.contributor.authorWang, Ying
dc.contributor.authorWu, Ke
dc.contributor.authorCao, Jiawei
dc.contributor.authorChen, Siwei
dc.contributor.authorChen, Zhaowei
dc.contributor.authorFang, Chao
dc.contributor.authorLiu, Jihan
dc.contributor.authorZhang, Haozhen
dc.contributor.authorTan, Peng
dc.date.accessioned2026-08-23T07:43:56Z
dc.date.available2026-08-23T07:43:56Z
dc.date.copyright2026/10/01
dc.date.issued2026
dc.identifier.issn2998-1638
dc.identifier.otherjertb-26-1059.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4315516
dc.description.abstractAbstract. CO2 Geological storage and enhanced oil recovery (CO2-EOR) are key pathways for the low-carbon energy transition. In fractured shale reservoirs, however, injection-induced pore-pressure buildup and stress redistribution may reduce fault stability and threaten storage safety. To quantitatively evaluate fault stability, this study develops a three-dimensional numerical model including injection wells, hydraulic fractures, and high-angle faults, incorporating CO2 adsorption–desorption effects. Fault slip tendency (ST) is adopted as the activation criterion to characterize fault-stability evolution. Sensitivity analyses are conducted for key engineering parameters, including injection rate, cumulative injection volume, injection location, fault–well distance, and fracture half-length. Grey relational analysis is used to identify the main controlling factors. Results demonstrate a pronounced nonlinear response of fault stability to injection parameters. Under the investigated scenarios, the maximum fault slip tendency varies from 0.35 to 0.91, and a warning threshold of ST = 0.8 is used to identify potential fault activation risk. Specifically, increasing the injection rate from 3000 to 12,000 m3/d raises the maximum ST from 0.60 to 0.91, while bottom injection yields a maximum ST of 0.81, higher than top injection (0.52) and middle injection (0.35). Increasing fracture half-length from 90 to 180 m raises the maximum ST from 0.45 to 0.81. Grey relational analysis shows that the relative influence of the investigated parameters is ranked as cumulative injection volume > injection location > fracture half-length > injection rate > fault–well distance.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleFracture/Fault Reactivation Determination and Carbon Storage Stability Analysis of CO2 Injection in Shale Reservoirs After Fracturing
dc.typeJournal Paper
dc.journal.volume2
dc.journal.issue5
dc.journal.titleJournal of Energy Resources Technology, Part B: Subsurface Energy and Carbon Capture
dc.identifier.doi10.1115/1.4071859
dc.journal.fristpage17
dc.journal.lastpage20
dc.page4
dc.treeJournal of Energy Resources Technology, Part B: Subsurface Energy and Carbon Capture:;2026:;volume( 002 ):;issue:005
dc.contenttypeFulltext


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