2020
DOI: 10.1016/j.petrol.2020.107492
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Thermo-poroelastic wellbore strengthening modeling: An analytical approach based on fracture mechanics

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Cited by 10 publications
(8 citation statements)
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“…For validation of the hoop stress value, obtained from numerical models, the following equation, based on the Kirsch and Mirabbasi analytical models, is selected for hoop stress calculation at the wellbore wall. This equation is valid before inducing the artificial fractures [15,35].…”
Section: Methodsmentioning
confidence: 99%
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“…For validation of the hoop stress value, obtained from numerical models, the following equation, based on the Kirsch and Mirabbasi analytical models, is selected for hoop stress calculation at the wellbore wall. This equation is valid before inducing the artificial fractures [15,35].…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, fewer induced fractures are created, which, in turn, leads to less possibility of lost circulation. A higher fracture gradient guarantee a wider mud weight window, which can contribute to better drilling and completion practices, and, in the best case, it can lead to a reduced number of casing strings [2,[13][14][15][16][17].…”
Section: Introductionmentioning
confidence: 99%
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“…The prediction of wellbore temperature and pressure field has always been a major problem of common concern to scientists (Mirabbasi et al 2020), because it is related to the accurate construction of oil production technology (Li et al 2020;Jung et al 2020), the safety of pipe string (Guo et al 2021;Li et al 2021;Wang et al 2019a), the normal use of various downhole tools (Wang Sifan, Zhang Ankang, Hu Dongfeng 2021), the reliability of production process (Wang et al 2019b), and the wax and scale prevention of oil and gas wells affected by temperature and pressure (Wei et al 2017;Dalong et al 2021;Yang et al 2021;Wang 2019). Nowadays, in the daily production process of gas wells, the phase change of natural gas in the wellbore is becoming more and more common (Gholamzadeh et al 2020;).…”
Section: Introductionmentioning
confidence: 99%