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Study of Downhole Shock Loads for Ultra-Deep Well Perforation and Optimization Measures

Deng, Qiao and Zhang, Hui and Li, Jun and Hou, Xuejun and Wang, Hao (2019) Study of Downhole Shock Loads for Ultra-Deep Well Perforation and Optimization Measures. Energies, 12 (14). p. 2743. ISSN 1996-1073

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Ultra-deep well perforation is an important direction for the development of unconventional oil and gas resources, the security with shock loads is a difficult technical problem. Firstly, the theoretical analysis of perforated string is carried out, the dynamics models of which are established in the directions of axial, radial and circumferential. Secondly, the process of perforating with hundreds of bullets is simulated by using the software of LS-DYNA (ANSYS, Inc, Pennsylvania, USA). The propagation attenuation model of shock loads is established, and a calculation model to predict shock loads at different positions of the tubing interval has been fitted by considering multiple factors. The dynamic response of perforated string is studied, and the vulnerable parts of which are found out. Thirdly, the optimization measures are put forward for ultra-deep well perforation by the design of shock adsorption and safety distance of the packer. Finally, the field case of an ultra-deep well shows that the research method in this paper is practical, and the optimization measures are reasonable and effective. This study can provide important guidance to reduce shock damage and improve security for ultra-deep well perforation.


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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Deng, Qiao0000-0002-5762-694X
Zhang, Hui
Li, Jun
Hou, Xuejun
Wang, Hao
Date: 17 July 2019
Date Type: Publication
Journal or Publication Title: Energies
Volume: 12
Number: 14
Publisher: MDPI AG
Page Range: p. 2743
DOI or Unique Handle: 10.3390/en12142743
Schools and Programs: Swanson School of Engineering > Civil and Environmental Engineering
Refereed: Yes
Uncontrolled Keywords: ultra-deep well, shock loads, perforated string, safety analysis, optimization measures
ISSN: 1996-1073
Official URL:
Article Type: Research Article
Date Deposited: 20 Oct 2021 13:15
Last Modified: 20 Oct 2021 13:16


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