| Issue |
E3S Web Conf.
Volume 466, 2023
2023 8th International Conference on Advances in Energy and Environment Research & Clean Energy and Energy Storage Technology Forum (ICAEER & CEEST 2023)
|
|
|---|---|---|
| Article Number | 02007 | |
| Number of page(s) | 5 | |
| Section | Green Energy Technology and Low Carbon Energy Saving Strategy | |
| DOI | https://doi.org/10.1051/e3sconf/202346602007 | |
| Published online | 15 December 2023 | |
Optimization of drilling parameters based on Copula function method for the Chepai area
1 Engineering Technology Research Institute of Xinjiang Oilfield Company, 834000, Karamay, China
2 Engineering Technology Department of Xinjiang Oilfield Company, 834000, Karamay, China
3 Yangtze University, 430100, Wuhan, China
* Corresponding author: zhuzhongxi@yangtzeu.edu.cn
In areas with complex stratigraphic lithology, the relationship between the penetration rate and drilling parameters should be fully considered to optimize the drilling process and improve drilling efficiency. The most frequently utilized methods for performing parameter optimization through correlation analysis are the correlation coefficient, principal component analysis, and grey correlation. The correlation coefficient method solely evaluates the extent of linear correlation between two variables, it cannot be applied to the non-linear connection between penetration rate and drilling parameters. The application of principal component analysis may produce inaccurate experimental findings due to the intricate and poorly co-varying nature of drilling parameters. The grey correlation method can lead to the substantial bias in the results because of the vast quantity of data analysed. Based on the vast quantity of data, using the copula function, the big data analysis method analyses the nonlinear relationship between penetration rate and drilling parameters. It constructs a united distribution function expression to determine the optimal parameter selection criteria. The in-situ drilling data from dozens of wells in the Chepaizi area are collected and optimized six types of parameters. The optimal parameter combination is determined. Following field investigation, there was a noteworthy increase of 34.83% in the average penetration rate.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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