Prediction of compressive strength of oil field class G cement slurry using factorial design

20Citations
Citations of this article
39Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Proper slurry design is critical to the success of a cementing job. The best method to obtain a good slurry design with desired compressive strength is by laboratory experiments which involve experimenting different formulations and selecting the best composition for the specific cementing operation. This exercise is not only time consuming considering the amount of time required, but also expensive. Sixteen sets of experiments were conducted in the laboratory, and factorial design was used to design the experiments for the sensitivity analysis of four different factors impacting on the compressive strength of cement slurry. The responses from the 16 experimental runs were used to develop a model which can be used for optimization purposes. The model developed was simple, in agreement with the experimental data used and can be implemented using an ordinary simple calculator. © 2013 The Author(s).

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

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(4), 297–302. https://doi.org/10.1007/s13202-013-0071-0

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 14

74%

Researcher 3

16%

Professor / Associate Prof. 2

11%

Readers' Discipline

Tooltip

Engineering 19

90%

Chemical Engineering 1

5%

Chemistry 1

5%

Save time finding and organizing research with Mendeley

Sign up for free