Review of Sand Production Prediction Models
Joint Authors
Nouri, Alireza
Vaziri, Hans
Jafarpour, Mahshid
Chan, Dave
Azadbakht, Saman
Rahmati, Hossein
Xiao, Yuxing
Source
Journal of Petroleum Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-01-09
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Sand production in oil and gas wells can occur if fluid flow exceeds a certain threshold governed by factors such as consistency of the reservoir rock, stress state and the type of completion used around the well.
The amount of solids can be less than a few grams per cubic meter of reservoir fluid, posing only minor problems, or a substantial amount over a short period of time, resulting in erosion and in some cases filling and blocking of the wellbore.
This paper provides a review of selected approaches and models that have been developed for sanding prediction.
Most of these models are based on the continuum assumption, while a few have recently been developed based on discrete element model.
Some models are only capable of assessing the conditions that lead to the onset of sanding, while others are capable of making volumetric predictions.
Some models use analytical formulae, particularly those for estimating the onset of sanding while others use numerical models, particularly in calculating sanding rate.
Although major improvements have been achieved in the past decade, sanding tools are still unable to predict the sand mass and the rate of sanding for all field problems in a reliable form.
American Psychological Association (APA)
Rahmati, Hossein& Jafarpour, Mahshid& Azadbakht, Saman& Nouri, Alireza& Vaziri, Hans& Chan, Dave…[et al.]. 2013. Review of Sand Production Prediction Models. Journal of Petroleum Engineering،Vol. 2013, no. 2013, pp.1-16.
https://search.emarefa.net/detail/BIM-504535
Modern Language Association (MLA)
Rahmati, Hossein…[et al.]. Review of Sand Production Prediction Models. Journal of Petroleum Engineering No. 2013 (2013), pp.1-16.
https://search.emarefa.net/detail/BIM-504535
American Medical Association (AMA)
Rahmati, Hossein& Jafarpour, Mahshid& Azadbakht, Saman& Nouri, Alireza& Vaziri, Hans& Chan, Dave…[et al.]. Review of Sand Production Prediction Models. Journal of Petroleum Engineering. 2013. Vol. 2013, no. 2013, pp.1-16.
https://search.emarefa.net/detail/BIM-504535
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-504535