Hardware-Enabled Compressed Sensing Method for Ultrasonic Images in Logging While Drilling

Due to the limitations of the computing and transmission ability of the downhole edge devices, it is difficult to compress and transmit ultrasonic logging images, thus greatly degrading the efficiency of downhole imaging logging and monitoring. To achieve ultrasonic logging images compressed and reduce the cost of logging data transmission, a hardware-enabled compression sensing method is proposed. Firstly, an effective compressed sensing network is designed for downhole ultrasonic logging image compression. Then, the compressed sensing network is deployed on the edge device to compress the logging images. In addition, a reconstruction network is adopted to encode the compressed images and improve the reconstructed image quality. Finally, we evaluate the proposed method using real logging image datasets collected from the production environment. Experimental results demonstrate that the proposed method outperforms prior works in recovering logging images even at extremely low sampling ratios, meanwhile, it can effectively improve image reconstruction quality and reduce data transmission costs.