A New Model for the Prediction of Real Time Critical Drawdown Sand Failure in Petroleum Reservoirs
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Date
2014-07
Authors
Adeyanju, Olusiji
Oyekunle, Layioye
Journal Title
Journal ISSN
Volume Title
Publisher
Taylor & Francis Production
Abstract
Petroleum producers are now realizing the risk of failure in petroleum reservoirs and consequently sand
production is now a dreaded process in the industry. As a result, failure analysis of reservoirs rocks for
sanding potential prediction purposes has become a routine activity more than ever before. Due to the
high cost and operational and safety implications of the risk of sand failure, the efficient management of
these risks for field operation optimization requires a reliable failure model. Most of the existing models
failed to capture the real time failure of the reservoir’s sand, and those that tried to capture the real
time failure criterion required parameters that are difficult to acquire. The developed model modified
the Griffitti rock failure criterion using McClintock and Walsh hypotheses to predict the current critical
drawdown pressure of petroleum reservoir. The required parameters for the application of the developed
model can be easily determined. The error analysis from the model in relation to the field data when
compared with those of Oluyemi and Oyeneyin’s model showed that the developed model gives better
predicting ability
Description
Keywords
Wellbore stability, fluidized solid, productivity index, turbidite sand, sand production
Citation
Adeyanju, O.A. and Oyekunle, L.O.(2014): ”A New Model for the Prediction of Real Time Critical Drawdown Sand Failure in Petroleum Reservoirs” Petroleum Science and Technology Journal, 32:2, 140-149. Publisher: Taylor & Francis Production.