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Study on the Applicability of Downhole Sonic Gas Invasion Monitoring Acoustic Models

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Proceedings of the Fifth International Technical Symposium on Deepwater Oil and Gas Engineering (DWOG-Hyd 2023)

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Abstract

In deepwater drilling gas invasion monitoring, existing conventional platform monitoring methods face issues such as delayed warning times and low monitoring accuracy. Downhole drilling-with-while-logging acoustic gas invasion monitoring, characterized by its non-intrusiveness, timeliness, and stability, has emerged as one of the directions for improving gas invasion monitoring during drilling operations. To explore the mechanism of downhole sonic gas invasion monitoring, this paper conducts a study on the applicability of acoustic propagation models in multiphase media. We compared five mathematical models: the EACH model, McClements model, Urick model, HT model, and BLBL model. Each model’s computational form and parameter selection range were described, and we investigated the propagation velocity and attenuation of sound waves in multiphase flowing media within the wellbore. An analysis of the suitability of each model under downhole conditions was provided. We propose a method that combines the HT model with the BLBL model for downhole acoustic propagation calculations. The research findings provide a theoretical foundation for further exploration of sonic gas invasion monitoring during drilling operations and offer valuable insights for subsequent engineering applications.

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Acknowledgement

The authors would like to appreciate the financial support from the National Natural Science Foundation of China (Project Nos. 52288101 and 52274022).

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Correspondence to Yonghai Gao .

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Zhang, H., Gao, Y., Zhao, X., Wang, X. (2024). Study on the Applicability of Downhole Sonic Gas Invasion Monitoring Acoustic Models. In: Sun, B., Sun, J., Wang, Z., Chen, L., Chen, M. (eds) Proceedings of the Fifth International Technical Symposium on Deepwater Oil and Gas Engineering. DWOG-Hyd 2023. Lecture Notes in Civil Engineering, vol 472. Springer, Singapore. https://doi.org/10.1007/978-981-97-1309-7_21

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  • DOI: https://doi.org/10.1007/978-981-97-1309-7_21

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  • Online ISBN: 978-981-97-1309-7

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