Inspired Fluorinated BDD Film for Multifunctional Protection of Downhole Sensor Electrodes

Conductivity sensors play a vital role in monitoring production data in oil wells to ensure efficient oilfield operations, and their service performance depends on the durability of Invar alloy electrodes. The alloy electrodes are susceptible to damage from abrasive solid particles, corrosive media, and oil fluids in downhole environments. The degradation of the alloy electrodes directly compromises the signal stability of conductivity sensors, resulting in inaccurate monitoring data. Inspired by the intrinsic oleophobic properties of fish scales, we developed a fluorinated boron-doped diamond (FBDD) film with biomimetic micro-nano structures to enhance the wear resistance, corrosion resistance, and amphiphobicity of Invar alloy electrodes. The fish scale architecture was fabricated through argon-rich hot-filament chemical vapor deposition (90% Ar, 8 h) followed by fluorination. FBDD-coated electrodes surpass industrial benchmarks, exhibiting a friction coefficient of 0.08, wear rate of 5.1 × 10<sup>-7</sup> mm<sup>3</sup>/(N·mm), corrosion rate of 3.581 × 10<sup>-3</sup> mm/a, and oil/water contact angles of 95.32°/106.47°. The following underlying improvement mechanisms of FBDD films are proposed: (i) the wear-resistant matrix preserves the oleophobic nanostructures during abrasive contact; (ii) the corrosion barrier maintains electrical conductivity by preventing surface oxidation; (iii) the oil-repellent surface minimizes fouling that could mask corrosion or wear damage.

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Publication Details

Journal
Nanomaterials
Published
2025-10-28
DOI
https://doi.org/10.3390/nano15211647
Primary Topic
Diamond and Carbon-based Materials Research
Type
article
Field-Weighted Citation Impact
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article

Inspired Fluorinated BDD Film for Multifunctional Protection of Downhole Sensor Electrodes

Shuo Zhao, Xiang Yu, J Liu, Jing Zhang et al.
Nanomaterials
Diamond and Carbon-based Materials Research
article

Inspired Fluorinated BDD Film for Multifunctional Protection of Downhole Sensor Electrodes

Shuo Zhao, Xiang Yu, J Liu, Jing Zhang, Jiali Wang, Jiaxi Liu
article en

Abstract

Conductivity sensors play a vital role in monitoring production data in oil wells to ensure efficient oilfield operations, and their service performance depends on the durability of Invar alloy electrodes. The alloy electrodes are susceptible to damage from abrasive solid particles, corrosive media, and oil fluids in downhole environments. The degradation of the alloy electrodes directly compromises the signal stability of conductivity sensors, resulting in inaccurate monitoring data. Inspired by the intrinsic oleophobic properties of fish scales, we developed a fluorinated boron-doped diamond (FBDD) film with biomimetic micro-nano structures to enhance the wear resistance, corrosion resistance, and amphiphobicity of Invar alloy electrodes. The fish scale architecture was fabricated through argon-rich hot-filament chemical vapor deposition (90% Ar, 8 h) followed by fluorination. FBDD-coated electrodes surpass industrial benchmarks, exhibiting a friction coefficient of 0.08, wear rate of 5.1 × 10<sup>-7</sup> mm<sup>3</sup>/(N·mm), corrosion rate of 3.581 × 10<sup>-3</sup> mm/a, and oil/water contact angles of 95.32°/106.47°. The following underlying improvement mechanisms of FBDD films are proposed: (i) the wear-resistant matrix preserves the oleophobic nanostructures during abrasive contact; (ii) the corrosion barrier maintains electrical conductivity by preventing surface oxidation; (iii) the oil-repellent surface minimizes fouling that could mask corrosion or wear damage.

NanomaterialsVol. 15(21)
Beijing Normal-Hong Kong Baptist University (CN), Hong Kong Baptist University (HK), Qilu University of Technology (CN), China University of Geosciences (Beijing) (CN), Key Laboratory for High Strength Lightweight Metallic Materials of Shandong Province (CN), Shandong Academy of Sciences (CN), Beihang University (CN)
Openalex Percentile: Top 75%
Diamond and Carbon-based Materials Research
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