Analysis of weak signal detection methods in oil and gas logging
This paper analyzes and studies the weak signal detection methods in oil and gas logging.It begins by reviewing traditional methods of weak signal detection,highlighting their limitations in processing weak signals in high-noise environments.Subsequently,the paper provides a detailed introduction to chaos theory and stochastic resonance within the framework of nonlinear system theory,discussing their specific applications in the detection of weak signals in oil and gas logging.This study is of significant practical importance for enhancing the efficiency and accuracy of oil and gas resource exploration and development,offering a new strategy for weak signal detection in the field of oil and gas logging.
weak signal detectionoil and gas loggingchaos theorystochastic resonance