Application of Improved Radix-2 FFT Algorithm in Lateral Logging

Array lateral logging technology is currently a hot topic in electrical logging research. How to accurately and quickly extract signal amplitudes from various frequency points of mixed signals is a prerequisite for achieving accurate calculation of formation resistivity. Digital Phase Sensitive Detection (DPSD) and Fast Fourier Transform (FFT) are the two most common digital detection methods in lateral logging tools. A new improved method is proposed to address the issue of long computation time in the reverse order process of the commonly used Reed algorithm in radix-2 FFT. Experimental results have shown that the improved FFT calculation speed is approximately 7 times faster than the conventional radix-2 FFT, and compared to the original method, the improved algorithm has doubled the computation speed; In terms of accuracy, DPSD performs better than traditional FFT in the absence of phase difference. However, as the phase shift increases, the change in dynamic phase difference will significantly increase. However, the improved FFT results are not affected by phase difference. By comparing and analyzing the two methods, it is proven that the resistivity curve obtained by FFT has better consistency and is suitable for measuring high resistivity formations <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(100000 \Omega\cdot \mathrm{m})$</tex>. Thus, the measurement accuracy of the instrument has been improved, providing more reliable data for the precise identification of oil and gas reservoirs.

Authors

Institutions

Publication Details

Published
2024-08-23
DOI
https://doi.org/10.1109/isset62871.2024.10779789
Primary Topic
Vibration and Dynamic Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application of Improved Radix-2 FFT Algorithm in Lateral Logging

Junjie Ren, Yi Gao
Vibration and Dynamic Analysis
article

Application of Improved Radix-2 FFT Algorithm in Lateral Logging

Junjie Ren, Yi Gao
article en

Abstract

Array lateral logging technology is currently a hot topic in electrical logging research. How to accurately and quickly extract signal amplitudes from various frequency points of mixed signals is a prerequisite for achieving accurate calculation of formation resistivity. Digital Phase Sensitive Detection (DPSD) and Fast Fourier Transform (FFT) are the two most common digital detection methods in lateral logging tools. A new improved method is proposed to address the issue of long computation time in the reverse order process of the commonly used Reed algorithm in radix-2 FFT. Experimental results have shown that the improved FFT calculation speed is approximately 7 times faster than the conventional radix-2 FFT, and compared to the original method, the improved algorithm has doubled the computation speed; In terms of accuracy, DPSD performs better than traditional FFT in the absence of phase difference. However, as the phase shift increases, the change in dynamic phase difference will significantly increase. However, the improved FFT results are not affected by phase difference. By comparing and analyzing the two methods, it is proven that the resistivity curve obtained by FFT has better consistency and is suitable for measuring high resistivity formations <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(100000 \Omega\cdot \mathrm{m})$</tex>. Thus, the measurement accuracy of the instrument has been improved, providing more reliable data for the precise identification of oil and gas reservoirs.

Xi'an Shiyou University (CN)
Openalex Percentile: Top 73%
Vibration and Dynamic Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.