Application of Artificial Intelligence in Drilling and Completion

In this chapter, we will delve into the applications of Artificial Intelligence (AI) in drilling and completion engineering within the oil and gas industry. The scope of this chapter will include the fundamentals of machine learning and deep learning, the essential algorithms, and the workflow of AI...

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Bibliographic Details
Main Authors: Yang, Heng, Shang, Guanyi, Li, Xiaorong, Feng, Yongcun
Format: Book Chapter
Language:English
Published: IntechOpen 2023
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Online Access:https://www.intechopen.com/chapters/87725
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Summary:In this chapter, we will delve into the applications of Artificial Intelligence (AI) in drilling and completion engineering within the oil and gas industry. The scope of this chapter will include the fundamentals of machine learning and deep learning, the essential algorithms, and the workflow of AI in drilling and completion engineering, from data collection to implementation and optimization. Furthermore, we will discuss various AI application areas, such as drilling parameter optimization, downhole environment detection, intelligent completion design, and more. Lastly, we will address the challenges and prospects of AI in drilling and completion engineering, examining issues related to data quality, model accuracy, reliability, and future development trends. This comprehensive exploration aims to provide readers with a solid understanding of the potential and limitations of AI in the drilling and completion engineering domain.
ISBN:978-1-83768-316-1
DOI:10.5772/intechopen.112298