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FPGA-based downhole real-time inversion of petrophysical information for NMR-LWD tools with periodic thermal management

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Abstract

In this brief, a real-time inversion of petrophysical information in downhole firmware for nuclear magnetic resonance logging while drilling (NMR-LWD) based on a field-programmable gate array (FPGA) is proposed. Firstly, the inverse problem is introduced, the nonnegative least-squares (NNLS) problem is modeled and solved by the accelerated projected gradient descent (APGD) algorithm. Secondly, the efficient architecture for the APGD accelerator based on look-up tables (LUTs) is used in Intel’s 10M50 FPGA. Finally, a software cooling method based on a multi-core structure and periodic thermal management technology is deployed. The proposed scheme is applied to NMR-LWD, the effectiveness and feasibility of the proposed scheme are verified experimentally.

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Acknowledgements

This work was supported in part by the School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, in part by the China-Poland Belt and Road Belt and Road Joint Laboratory on Measurement and Control Technology, Huazhong University of Science and Technology, in part by Oilfield Technology Research Institute, China Oilfield Services Limited.

Funding

This work was supported in part by the National Natural Science Foundation of China under Grant 61973132, and in part by the Key Project of Hubei Province under Grant 2021ACB001.

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Authors and Affiliations

  1. School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Luoyu Road 1037, Hongshan, 430074, Wuhan, China

    Chenguang Fan, Muyao Li, Wenzhong Liu & Jingjing Cheng

  2. China-Poland Belt and Road Belt and Road Joint Laboratory on Measurement and Control Technology, Huazhong University of Science and Technology, Luoyu Road 1037, Hongshan, 430074, Wuhan, China

    Chenguang Fan, Muyao Li, Wenzhong Liu & Jingjing Cheng

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  1. Chenguang Fan
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Contributions

CF carried out the implementation of the research technology and the experiment of the proposed algorithm, and made contributions to the writing of the manuscript and the adjustment and modification of the format of the picture. ML designed the images and contributed to the technical implementation, experimental characterization, and analysis of the proposed algorithm. WL provided support for the construction of the experimental platform. JC contributed to the study’s conception, design, and multiple reviews of the manuscript.

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Correspondence to Jingjing Cheng.

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Fan, C., Li, M., Liu, W. et al. FPGA-based downhole real-time inversion of petrophysical information for NMR-LWD tools with periodic thermal management. J Supercomput 80, 9640–9662 (2024). https://doi.org/10.1007/s11227-023-05827-7

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