Abstract

One of the costliest problems facing the production of hydrocarbons in unconsolidated sandstone reservoirs is the production of sand once hydrocarbon production starts. The sanding start prediction model is very important to decide on sand control in the future, including whether or when sand control should be used. This research developed an easy-to-use Computer program to determine the beginning of sanding sites in the driven area. The model is based on estimating the critical pressure drop that occurs when sand is onset to produced. The outcomes have been drawn as a function of the free sand production with the critical flow rates for reservoir pressure decline. The results show that the pressure drawdown required to produce a free sand oil flow rate reduces with the skin factor increasing. Moreover, free sand oil production cannot be prevented at well-flowing pressure of 500 psi.

Highlights

  • The problem of sand production is one of the old problems in the oil industry

  • It is necessary to have a correct and accurate understanding of geomechanics to provide data for future reservoir pressure and subsidence in order to have a clear idea of sand production

  • This work needs to determine the pressures at the walls of the holes or the well, if these induced pressures exceed the strength of the formation at the site, the formation will fail, and sand can be produced with reservoir fluids

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Summary

INTRODUCTION

The problem of sand production is one of the old problems in the oil industry. Authors have been interested in this problem since the beginning of knowing the oil industry and trying to find solutions to it. Production rate: The production of hydrocarbons from the reservoir causes two forces, a differential pressure force and a frictional force These two forces form a force that can exceed the formation’s compressive strength. Where basic information is not available, to estimate the strength of the formation required to be studied, the production engineer must rely on the parameters obtained from field records and use the appropriate equations. This particular layer is called a control layer with minimal regression. The general critical rate for the entire production period is estimated by determining the critical regression corresponding to the weakest region of the producing layer with respect to sand production. Where Qc∗rit is the critical flow rate of the well, ΔPd∗d is the minimum drawdown, Bo is the oil formation volume factor, μo is the oil viscosity, re is the radius of drainage, rw is the radius of wellbore, h is the total thickness of the pay zone

Estimating the input parameters
Rock modulus
The compressional and shear sonic wave
Stress analysis
Critical wellbore pressure
Availability of registration data
Volume of shale
Neutron log
Area of the Study
Sand failure zone

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