SPE Journal
Volume 10, Number 3, September 2005, pp. 229-237

SPE-82247-PA

A Mechanistic Model for Horizontal Gravel Pack Displacement

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DOI  More information 10.2118/82247-PA http://dx.doi.org/10.2118/82247-PA

Citation

  • Martins, A.L., de Magalhaes, J.V.M., Calderon, A., and Chagas, C.M. 2005. A Mechanistic Model for Horizontal Gravel Pack Displacement. SPE  J.10 (3): 229-237. SPE-82247-PA.

Discipline Categories

  • 1.5.3 Sand Control
  • 1.5.3 Sand Control
  • 1.2 Drilling Design and Analysis

Summary

This article presents the detailed formulation for each of the three steps of a horizontal gravel-pack displacement operation, including sand injection and alpha/beta waves propagation. The main core of the model, aiming to define alpha wave height, is based on a well known two-layer model. Initially developed for hydrotransport applications, this kind of model has been adapted by several authors for drilled cuttings transport analysis. Additionally, a comparison between theoretical predictions and pumping charts from a field operation performed in Campos basin is presented.

Introduction

Gravel packing is today the most frequently applied sand control technique in Campos Basin, offshore Brazil. Because of the critical conditions, such as the deep and ultradeep waters and low fracture gradients, great precision is required to assure gravel-packing success. Several models available in the industry for horizontal gravel pack design are essentially empirical, resulting in imprecise predictions for extrapolated conditions.

These aspects were the primary motivators for the development of a mechanistic model to describe the whole operation. It is a consensus among design and operation engineers that a physically based software is a necessary rigsite tool for determining operational parameters, especially when last-minute data have to be considered. Reliable and fast results are required to enhance the chances of a successful operation.

Several authors present experimental results of horizontal gravel packing performed in test facilities: Forrest1 presents a correlation to estimate pack length limits in highly inclined and horizontal wells based on a full-scale model wellbore tests with viscous fluids and water.

Nguyen et al.2 developed a 3D numerical simulator based on the finite-volumes method, which can monitor the transport process of the slurry in both axial and angular directions. Conservation of mass and momentum is considered in each sector element (finite-volume cell) to evaluate its fluid transport process. Each sector element is assumed to process homogeneous properties within its control volume. The model considers rheological properties of fluid, effect of gravel settling, and friction pressure calculation.

Penberthy et al.3 present several field tests in a 1,500-ft-long simulator to identify the main variables that govern the phenomenon. Extensive field-scale testing has aided in the development of procedures and operational guidelines that are still today relevant. Software has also been developed that is based on correlations to determine gravel transport velocity and mechanistic models to determine pressure drop and friction factor.

Sanders et al.4 present a numerical model based on a pseudo-3D approach aiming to simulate of an alternative flow path concept during the horizontal gravel-pack placement. The model solves the equations of volume and momentum conservation for the incompressible slurry in the wellbore. In order to validate the flow-path concept both small-scale and large-scale experimental tests using models ranging from 5 to 1,000 ft in length were performed.

The dynamics of data acquisition to run gravel-packing simulations requires continuous updating, and part of the information is accurately available only a few hours before pumping starts. Other data, such as detailed caliper information, remain unavailable in several cases. Considering the several input uncertainties for the process, the necessity to run simulations in a short time, and the limited processing capacity of portable computers, a major premise for the development was to consider simplified models that could fullfil the operational requirements. Of course, such models should be able to capture the major phenomena governing the process and predict pressures properly.

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History

  • Original manuscript received: 12 August 2003
  • Revised manuscript received: 30 May 2005
  • Manuscript approved: 30 June 2005
  • Version of record: 15 September 2005