Mechanistic Models for Predicting Sand Production

Description

– Mechanistic Models for Predicting Sand Production –

Download Mechanistic Models for Predicting Sand Production. Petroleum Engineering students who are writing their projects can get this material to aid their research work.

Abstract

Niger Delta Province is predominantly a friable, unconsolidated sandstone terrain suggesting the expectation of sand production while developing hydrocarbon reserves in such terrain.

In this study, a simple and easy-to-use mechanistic model for predicting sand production rate (SPR) in Niger-Delta wells was developed by coupling the static sanding criteria and the dynamic requirement for fluidization of the produced sand.

I developed a generic mechanistic model that incorporates the concept of dimensionless quantities associated with sanding; the quantities considered include the loading factor, Reynolds Number, water cut and gas-liquid ratio, GLR.

The output from the proposed model is a dimensionless sand production rate (SPR) correlation index. Results indicated that every reservoir has a unique SPR correlation index which represents its propensity to produce sand or its sanding identity.

Introduction

Sand production is a common problem in production and injector wells located in weak or poorly consolidated sandstone reservoirs.

Recent clastic sediments of the Pliocene and younger Tertiary ages are particularly troublesome and sand production problem maybe expected whenever wells are completed in unconsolidated formations.

Sand failures also occurs in older formation when in-situ rock strength is reduced by poor completion and production practice.

Identified areas where severe sand production problems are experienced among others include Nigeria, Trinidad, Indonesia, Egypt, Venezuela, Malaysia, Canada tar sands and Gulf of Mexico. The reservoirs in these formations lie between 3,500ft and 10,000ft (Osisanya, 2010).

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