Optimized Drilling Status Recognition for Oil Drilling Using Artificial Intelligence: Empirical Research and Methodology

This study focuses on the application of modern artificial intelligence (AI) techniques to improve the accuracy of drilling status recognition in the oil drilling industry, with the aim of enhancing safety and efficiency. To address the limitations of existing research in evaluation methods and practical applications, we constructed a unified drilling status dataset, introduced a more scientific evaluation criterion, the F1 score, and conducted a comprehensive evaluation and improvement of existing oil drilling status recognition methods. This paper provides an in-depth analysis of various drilling status characteristics and explores the applicability and limitations of different AI algorithms in drilling status recognition. Based on these findings, we propose optimized general drilling status recognition algorithms and validate the performances in real drilling status. Our research offers valuable insights and guidance for future oil drilling status recognition studies and is expected to promote safer and more efficient development in the oil drilling industry.