Submit Manuscript  

Article Details


Simulation on Incipient Particle Motion in Highly-Inclined Annulus

Author(s):

Chen Ye, Wang Kelin*, Sun Xiaofeng, Qu Jingyu and Yang Xiangtong   Pages 1 - 9 ( 9 )

Abstract:


Background: Highly-inclined and horizontal wells have widely used for the development of mature oilfield, marine oilfield, and low permeable oilfield. During drilling operations, due to the limits of operational parameters such as flow rate and drilling fluid property, cutting particles will accumulate in the low side of wellbore and cuttings bed may be formed, which may lead to high drag and torque, stuck pipe, and other drilling problems.

Objective: As a result, The goal of this work is toit becomes essential to determine the incipient motion velocity or rate to re-suspend and remove the cutting particles.

Methods: In this study, particle random distribution function was introduced to determine the percentage of incipient particle motion, and the mechanical models for rolling and lift method considering the net gravity, drag force, lift force, additional mass force, adhesive force and flow pressure gradient force were developed to predict the incipient motion velocity or rate. Also,And the model has been verified by published experimental data

Results: The major findings from this study are, aA critical particle size of incipient motion rate is approximately 1 mm, and, as cuttings bed height decreases, the incipient motion rate is decreasing, and the minimum flow rate that prevents the bed formation may be estimated when bed height is small enough. Also, increasing wellbore inclination or fluid density has a positive effect on incipient motion rate, but increasing particle density or percentage of incipient particle motion has an adverse effect.

Conclusion: This study may provide a guideline for designing hydraulic parameters and sand washing in the highly-inclined and horizontal wells, which contributes to the economic production.

Keywords:

Incipient particle rate • , mechanical model • , velocity distribution • , particle random distribution.

Affiliation:

College of Petroleum Engineering, Northeast Petroleum University, Daqing, 163318, , College of Petroleum Engineering, Northeast Petroleum University, Daqing, 163318, , Oil and Gas Engineering Institute, Tarim Oilfield Company, PetroChina, Korla 84100, , College of Petroleum Engineering, Northeast Petroleum University, Daqing, 163318, , College of Petroleum Engineering, Northeast Petroleum University, Daqing, 163318



Read Full-Text article