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


연구 분야: Analysis



학회: The Journal of Supercomputing


초록

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.


Author Profile
Chenguang Fan

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

Andorra
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Muyao Li

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

Andorra
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Wenzhong Liu

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

Andorra

📄 논문 정보

발행 연도 2023년
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출판 국가 Andorra
사이트 Springer
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