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A Plasma Transmitting Source for Borehole Acoustic Reflection Imaging.

Xiaolong Hao1,2, Jing Zhou1,2, Haiyan Shang1,2

  • 1Downhole Measurement & Control Research Department, National Engineering Laboratory of Petroleum Drilling Technology, Xi'an Shiyou University, Xi'an 710065, China.

Sensors (Basel, Switzerland)
|October 27, 2022
PubMed
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A novel plasma source with a parabolic reflector significantly enhances borehole acoustic reflection imaging. This breakthrough increases detection depth to hundreds of meters with high resolution, crucial for oil-gas exploration.

Area of Science:

  • Geophysics
  • Reservoir Engineering
  • Plasma Physics

Background:

  • Current borehole acoustic reflection imaging has limited detection depth (tens of meters) and resolution.
  • This restricts its use in characterizing unconventional reservoirs and optimizing drilling paths.

Purpose of the Study:

  • To introduce and evaluate a plasma source with a parabolic reflector for borehole acoustic reflection imaging.
  • To enhance detection depth and resolution for geological structure imaging near boreholes.

Main Methods:

  • Construction of an experimental system to test the plasma source.
  • Experimental and numerical simulation to analyze acoustic-electrical characteristics and directional radiation.
  • Assessment of the plasma source's advantages, disadvantages, and feasibility.
Keywords:
acoustic reflection imagingacoustic-electrical characteristicsdetection depthdirectional radiationhigh resolutionplasma source

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Main Results:

  • The plasma source with a parabolic reflector increases detection depth to hundreds of meters.
  • High-resolution imaging of geological structures near boreholes is achieved.
  • Improved capabilities for oil-gas exploration and development.

Conclusions:

  • The plasma-transmitting source is a feasible and effective method for improving borehole acoustic reflection imaging.
  • This technology is vital for detailed geological characterization and resource exploration.
  • Further research and development are recommended for source optimization and logging applications.