Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown
Published: April 28, 2025
Language: Английский
Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown
Published: April 28, 2025
Language: Английский
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: April 21, 2025
The attitude angles of the drilling tool serve as crucial information for transmitting Measurement While Drilling (MWD) data, enabling optimization performance and ensuring safety. However, real-time transmission processing data pose a significant challenge, especially with increasing prevalence horizontal directional drilling. To accurately promptly obtain this paper proposes lossless compression method based on Huffman coding, called Adaptive Frame Prediction Coding (AFPHC). This approach leverages slowly varying characteristics MWD employing frame residual prediction to reduce volume selecting optimal bit widths encoding data. By using real-world proposed is implemented Verilog HDL Xilinx field-programmable gate array (FPGA) circuit. Simulation experiment results show that ratios provided by inclination, azimuth, toolface reach up 4.02 times, 3.98 1.48 respectively, outperforming several existing methods.
Language: Английский
Citations
0Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown
Published: April 28, 2025
Language: Английский
Citations
0