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

机译:使用因子设计预测油田G级水泥浆的抗压强度。

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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.
机译:正确的浆液设计对于固井作业的成功至关重要。获得具有所需抗压强度的良好浆料设计的最佳方法是通过实验室实验进行,其中包括试验不同的配方并为特定的固井作业选择最佳的组成。考虑到所需的时间,这种练习不仅费时,而且很昂贵。在实验室进行了16组实验,并采用阶乘设计来设计实验,以分析影响水泥浆抗压强度的四个不同因素的敏感性。来自16个实验运行的响应被用于开发可用于优化目的的模型。开发的模型很简单,与使用的实验数据一致,可以使用普通的简单计算器来实现。

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