Abstract
An imbalance between the produced oil entering the pipeline and the oil received by consumers is a real problem. To solve the problem, we propose to use methods of computed tomography. The article is devoted to investigating methods for reconstructing a section of a pipeline to determine time intervals over which no gas inclusions in the oil flow occur. Computed tomography is based on image reconstruction methods. We made comparison between analytical reconstruction techniques: Back Projection (BP) and Filtered Back Projection (FBP) and iterative reconstruction techniques: Simultaneous Algebraic Reconstruction Technique (SART) and Simultaneous Iterative Reconstruction Technique (SIRT); the simulation was performed using Astratoolbox, an open source image reconstruction tool for tomography, and then the reconstructed images were compared using the relative root mean square error and a conclusion was achieved. The results demonstrate that the SIRT and SART method have given the closest to each other reconstructed images.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.