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Estimating the drilling fluid density in the mud technology: Application in high temperature and high pressure petroleum wells

Kamari, A ; Sharif University of Technology | 2017

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  1. Type of Document: Article
  2. Publisher: Nova Science Publishers, Inc , 2017
  3. Abstract:
  4. Appropriate execution of drilling operation, in particular for high pressure and high temperature wells, requires accurate knowledge of behavior of the drilling fluid density as a function of pressure and temperature. In this communication, a novel mathematicalbased approach is presented to develop a reliable model for predict the density of four drilling fluid including water-based, oil-based, Colloidal Gas Aphron (CGA) and synthetic. To pursue our objective, a predictive model is proposed using a robust soft computing approach namely least square support vector machine (LSSVM) modeling optimized with coupled simulated annealing (CSA) optimization tool. Moreover, leverage approach, in which the statistical Hat matrix, Williams plot, and the residuals of the model results lead to identification of the probable outliers, has been applied. It is found that all of the experimental data seem to be reliable and only a few percent of them are out of applicability domain of the developed models for drilling fluid density. The obtained results demonstrate that the developed CSA-LSSVM model is rapid, reliable, and efficient to estimate the density of four aforementioned drilling fluids. © 2017 by Nova Science Publishers, Inc. All rights reserved
  5. Keywords:
  6. Coupled simulated annealing ; Crude oil ; Drilling fluid ; Least square support vector machine ; Oil wells ; Simulated annealing ; Soft computing ; Support vector machines ; Well drilling ; Density prediction ; Drilling fluid density ; Function of pressure ; High pressure and high temperature ; High temperature and high pressure ; Least square support vector machines ; Predictive modeling ; Soft computing approaches ; Drilling fluids
  7. Source: Heavy Oil: Characteristics, Production and Emerging Technologies ; 2017 , Pages 285-295 ; 9781536108675 (ISBN); 9781536108521 (ISBN)
  8. URL: https://novapublishers.com/shop/heavy-oil-characteristics-production-and-emerging-technologies