Free fluid control of oil well cements using factorial design

  • Seyyed Shahab Tabatabaee Moradi PhD candidate, Well Drilling Department, National Mineral Resources University (Mining University), Saint Petersburg, Russia
  • Nikolay Ivanovich Nikolaev Professor at Well Drilling Department, National Mineral Resources University (Mining University).
Keywords: Cement, factorial design, free fluid, prediction model.

Abstract

As worldwide demand of hydrocarbons is growing fast, the oil and gas companies are forced to explore reservoirs in more hostile environments. In these conditions, proper design of cement slurry is essential to guarantee the long production life of the well.  Free fluid content of the cement slurry is one of the main properties, which can leads to the formation of interacting channels through the set cement. The best way to achieve a good cement slurry design is to conduct a series of time consuming and expensive experiments. In this study, factorial design is applied to design a certain number of experiments and investigate the effects of possible additives on the cement performance. Using the experimental results a simple model is developed to predict the free fluid content of the cement slurry. The given model shows accurate results and therefore can be used to minimize the number of experiments.

Author Biography

Seyyed Shahab Tabatabaee Moradi, PhD candidate, Well Drilling Department, National Mineral Resources University (Mining University), Saint Petersburg, Russia
Current PhD candidate at Well Drilling Department, National Mineral Resources University (Mining University), Former student of Amirkabir University of Technology (Tehran Polytechnics) and Petroleum University of Technology (PUT).

References

Awoleke, O., Romero, J., Zhu, D. & Hill,D. 2012. Experimental investigation of propped fracture conductivity in tight gas reservoirs using factorial design. Paper presented at: SPE Hydraulic Fracturing Technology Conference; February 6-8; The Woodlands, Texas, USA.

Choolaei, M., Rashidi, A.M., Ardjmand, M., Yadegari, A. & Soltanian, H. 2012. The effect of nanosilica on the physical properties of oil well cement. Materials Science and Engineering A 538: 288–294.

Falode, O.A., Salam, K.K., Arinkoola, A.O. & Ajagbe, B.M. 2013. Prediction of compressive strength of oil field class G cement slurry using factorial design. Journal of Petroleum Exploration and Production Technology 3: 297–302.

Okumo, I. & Isehunwa, S.O. 2007. Prediction of the viscosity of a water-base mud treated with cassava starch and potash at varying temperatures using factorial design. Paper presented at: Nigeria Annual International Conference and Exhibition; August 6-8; Abuja, Nigeria.

Pang, X., Meyer, C., Funkhouser, G.P. & Darbe, R. 2015. Depressurization damage of oil well cement cured for 3 days at various pressures. Construction and Building Materials 74: 268–277.

Roshan, H. & Asef, M.R. 2010. Characteristics of Oilwell Cement Slurry Using CMC. SPE Drilling & Completion 3: 328-335.

Sonebi, M. & McKendry, D. 2008. Effect of mix proportions on rheological and hardened properties of composite cement pastes. The Open Construction and Building Technology Journal 2: 15-23.

Tabatabaee Moradi, S. & Nikolaev, N.I. 2016. Optimization of cement spacer rheology model using genetic algorithm. International Journal of Engineering (IJE), TRANSACTIONS A: Basics 29(1): 127-131.

Yun Zou. Jianbing Li, G.H. Huang & Hengliang Li. 2002. An inexact air quality model for petroleum pollutants based on techniques of factorial analysis and stochastic simulation. Paper presented at: SPE International Thermal Operations and Heavy Oil Symposium and International Horizontal Well Technology Conference; November 4-7; Alberta, Canada.

Published
2017-04-26
Section
Petroleum Engineering