Study on Calibration Method for Ion Concentration Measurement Parameters of Ion Selective Electrode Based on Multiple Linear Regression

Authors

  • Jingjin Li
  • Zhang He

DOI:

https://doi.org/10.54097/ajst.v4i3.5069

Keywords:

Drilling fluid ion concentration, Ion-selective electrode method, In-line measurement, Multiple linear regression.

Abstract

In the drilling industry, the change of ion concentration of drilling fluid can provide a basis for judging whether it enters the target layer and whether there is a layer penetration phenomenon during the drilling process. Traditional ion concentration determination methods require manual operation, time-consuming and labor-intensive, and most of them have problems such as large measurement errors, measurement cycles and in-line measurements, so for these problems, there is an urgent need for a fast and real-time measurement measurement method. The ion-selective electrode method allows accurate and real-time measurement of chloride, sulfur and potassium ions, but due to the mechanism of the ion selective electrode method, mutual interference occurs when multiple ions coexist. Aiming at the problem of low efficiency of traditional measurement methods and multi-ion interference with each other in ion-selective electrode method. In this paper, an ion concentration calibration method based on multiple linear regression is proposed, and the error cause of the ion selective electrode method is analyzed first, and the measurement value is calibrated in combination with the multiple linear regression model, and finally the ion concentration experimental platform is established, and the results of the measurement accuracy of chlorine, sulfur and potassium ions are improved by more than 90%, which proves the effectiveness of the proposed method.

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References

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Published

08-02-2023

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Section

Articles

How to Cite

Li, J., & He, Z. (2023). Study on Calibration Method for Ion Concentration Measurement Parameters of Ion Selective Electrode Based on Multiple Linear Regression. Academic Journal of Science and Technology, 4(3), 195-201. https://doi.org/10.54097/ajst.v4i3.5069