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    Numerical modeling and simulation of drilling cutting transport in horizontal wells

    , Article Journal of Petroleum Exploration and Production Technology ; Volume 8, Issue 2 , 2018 , Pages 455-474 ; 21900558 (ISSN) Zakerian, A ; Sarafraz, S ; Tabzar, A ; Hemmati, N ; Shadizadeh, S. R ; Sharif University of Technology
    Springer Verlag  2018
    Abstract
    Cutting transport is an important goal in drilling operation especially in horizontal and deviated wells since it can cause problems such as stuck pipe, circulation loss and high torque and drag. To this end, this article focused on the affecting parameters on the cutting transport by computational fluid dynamic (CFD) modeling and real operational data. The effect of drilling fluid and cutting density on the pressure drop, deposit ratio and string stress on the cutting transport has been investigated. A systematic validation study is presented by comparing the simulation results against published experimental database. The results showed that by increasing two times of drilling fluid... 

    Formulation of soil angle of shearing resistance using a hybrid GP and OLS method

    , Article Engineering with Computers ; Volume 29, Issue 1 , September , 2013 , Pages 37-53 ; 01770667 (ISSN) Mousavi, S. M ; Alavi, A.H ; Mollahasani, A ; Gandomi, A. H ; Arab Esmaeili, M ; Sharif University of Technology
    2013
    Abstract
    In the present study, a prediction model was derived for the effective angle of shearing resistance (φ′) of soils using a novel hybrid method coupling genetic programming (GP) and orthogonal least squares algorithm (OLS). The proposed nonlinear model relates φ′ to the basic soil physical properties. A comprehensive experimental database of consolidated-drained triaxial tests was used to develop the model. Traditional GP and least square regression analyses were performed to benchmark the GP/OLS model against classical approaches. Validity of the model was verified using a part of laboratory data that were not involved in the calibration process. The statistical measures of correlation...