Research on Imaging Detection of Defects in X-ray Oil and Gas Casings Based on MIT-MTT Combined Instrument

The paper aims to study the X-ray oil and gas casing defect imaging detection based on the MIT-MTT combination logging instrument. By reviewing and analyzing relevant domestic and international literature, the paper summarizes the principles, advantages, disadvantages, and applications of existing algorithms. The research, based on experimental data from the MIT -MTT combination logging instrument, indicates that X-ray-based defect detection algorithms, combined with the imaging of the MIT -MTT combination logging instrument, play a significant role in improving the accuracy, efficiency, and automation of oil well casing inspection. With the continuous development of deep learning and defect detection technologies, the field is expected to achieve more breakthroughs in the future.