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Coiled Tubing Erosion Prediction and Fracturing Fluid Parameters Optimization During Hydraulic Jet Fracturing

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Abstract

The erosion wear of coiled tubing wound on the drum by fracturing fluid gravel greatly affects its service life and the operation safety during hydraulic jet fracturing operation in oilfield applications. Based on computational fluid dynamics, discrete phase model and optimal design theory, this paper uses ANSYS workbench software to numerically simulate the erosion of 2.375″ coiled tubing wound on the drum by fracturing fluid. The simulation result shows that the coiled tubing erosion rate is most affected by fracturing fluid injection velocity. Gravel mass flow rate has less effect. Gravel diameter has the least effect. Coiled tubing erosion wear can be effectively controlled by optimal matching smaller fracturing fluid injection velocity and a certain range of gravel mass flow rate values. This research provides a new simulation method for accurately and efficiently predicting coiled tubing erosion and wear failure, and the results can provide some theoretical help for fracturing operations.

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Acknowledgments

The research was supported by the National Natural Science Foundation of China, Grant No. 51674199 and 52004215; and supported by research project on safety evaluation technology of casing and coiled tubing under fracturing in complex lithologic reservoir of junggar basin, PetroChina Western Drilling Engineering Co., Ltd. Oil Testing Company (2019).

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Authors and Affiliations

  1. Mechanical Engineering College, **’an Shiyou University, **’an, China

    Airong Xu, Yihua Dou, Jie Zheng & **anke Cui

  2. Key Laboratory for Integrity Evaluation of Complex Oil & Gas Well of **’an, **’an, China

    Airong Xu, Yihua Dou & Jie Zheng

  3. Sinopec Shanghai Petrochemical Co., Ltd., Shanghai, 200540, China

    Changxing Feng

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  1. Airong Xu
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Correspondence to Airong Xu.

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Xu, A., Dou, Y., Feng, C. et al. Coiled Tubing Erosion Prediction and Fracturing Fluid Parameters Optimization During Hydraulic Jet Fracturing. J Fail. Anal. and Preven. 22, 1276–1292 (2022). https://doi.org/10.1007/s11668-022-01400-1

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