Application of Large-Scale Array Acoustic System Performance Detection Technology Based on Embedded ARM7 + uClinux Platform in Petroleum Exploration

Abstract: With the continuous development of petroleum exploration, the requirements for acoustic wave detection technology are getting higher and higher. Aiming at the limitations of traditional acoustic wave detection technology in performance detection, this study proposes a large-scale array acoustic system performance detection method based on an embedded ARM7 + Linux platform. Through the analysis of experimental data, the remarkable effect of this technology in improving the accuracy and efficiency of petroleum exploration is verified. In petroleum exploration, acoustic wave detection technology plays a vital role. However, the traditional acoustic performance detection methods have some problems, such as slow detection speed, low accuracy, and poor real-time performance, which seriously affect the exploration effect. Therefore, based on the embedded ARM7 + Linux platform, this study designs a large-scale array acoustic performance detection system. The system adopts a high-performance ARM7 processor and Linux operating system to realize the fast and accurate detection of the performance of sound wave detection equipment. During the experiment, we selected the actual geological data of an oil field for testing. Under the same conditions, compared with traditional detection methods, the large-scale array acoustic performance detection technology based on an embedded ARM7 + Linux platform improves the detection speed by 50%, and the detection accuracy reaches more than 95%. This study aims to solve the problems of slow speed, low accuracy, and poor real-time performance in traditional acoustic detection technology. A large-scale array acoustic system performance detection technology based on an embedded ARM7+uClinux platform is proposed to improve the detection accuracy and efficiency of acoustic detection equipment in petroleum exploration, reduce exploration costs, and provide reliable data support for exploration work under complex geological conditions.

Zhiyuan Sun, Cheng Yang and Guixu Xu. “Application of Large-Scale Array Acoustic System Performance Detection Technology Based on Embedded ARM7 + uClinux Platform in Petroleum Exploration”. International Journal of Advanced Computer Science and Applications (IJACSA) 17.4 (2026). http://dx.doi.org/10.14569/IJACSA.2026.0170406

@article{Sun2026,
title = {Application of Large-Scale Array Acoustic System Performance Detection Technology Based on Embedded ARM7 + uClinux Platform in Petroleum Exploration},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2026.0170406},
url = {http://dx.doi.org/10.14569/IJACSA.2026.0170406},
year = {2026},
publisher = {The Science and Information Organization},
volume = {17},
number = {4},
author = {Zhiyuan Sun and Cheng Yang and Guixu Xu}
}