2019
DOI: 10.1016/j.petrol.2019.02.015
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Inflow performance relationship of vertical wells in fractured vuggy media during semi-steady state flow regime

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Cited by 4 publications
(6 citation statements)
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“…By comparing the predictions from the Eq. ( 22) and numerical solution and analytical solutions of the fluid flow equations of fractured-vuggy media, Youssef [47] validated the model Eq. (22).…”
Section: Geofluidsmentioning
confidence: 84%
See 1 more Smart Citation
“…By comparing the predictions from the Eq. ( 22) and numerical solution and analytical solutions of the fluid flow equations of fractured-vuggy media, Youssef [47] validated the model Eq. (22).…”
Section: Geofluidsmentioning
confidence: 84%
“…Recently, Youssef [47] derived an analytical model to study IPR curve of fractured-vuggy carbonate reservoirs, which was…”
Section: Model Validationmentioning
confidence: 99%
“…where F ðFGÞ is the average normalized load of the FG section, F ðBCÞ is the average normalized load of the BC section, k ðEFÞ is 2 Geofluids the slope of the EF section, ΔS ðFGÞ is the displacement of the FG section, and ΔS ðBCÞ is the displacement of the BC section. The eigenvalues of the dynamometer card with abnormal "boss" in section BC are as follows:…”
Section: Identification Of Abnormal Bc Sectionmentioning
confidence: 99%
“…The inflow performance relationship (IPR) curve of oil well is a curve describing the relationship between oil well production and bottom hole flowing pressure [1][2][3], which is the basis of well performance analysis and productivity prediction [4][5][6][7][8][9]. However, many classical calculation methods of IPR curve have their limitations in practical application.…”
Section: Introductionmentioning
confidence: 99%
“…In stress-sensitive reservoirs, the absolute permeability of rocks can change with the variation of the pore pressure and stress state, which has a significant impact on reservoir productivity. Understanding the characteristics of the IPR (Huang et al, 1995;Jahanbani and Shadizadeh, 2009;Qasem et al, 2014;Changalvaie et al, 2015;Youssef, 2019;Zhang et al, 2020) is vital for evaluating the performance of a well and designing an optimal stimulation. The primary objective of this study was to provide a rapid and cost-efficient methodology to evaluate reservoir productivity in stress-sensitive reservoirs.…”
Section: Introductionmentioning
confidence: 99%