A novel PIG and an intelligent pigging scheme based on Deep-learning technology. (December 2022)

• Record Type: Journal Article
• Authors: Yao, Benchun; He, Zichen; Lu, Na; Zhang, Shimin
• Is Part Of: International journal of pressure vessels and piping. Volume 200(2022)
• Publication Date: 2022-12
• Subjects: PIG -- Wax-deposition -- Wax-removal -- Wax-layer identification -- Deep-learning; Pressure vessels -- Periodicals; Pipe -- Periodicals; Récipients sous pression -- Périodiques; Tuyaux -- Périodiques; Pipe; Pressure vessels; Periodicals; 681.76041
• DOI: 10.1016/j.ijpvp.2022.104803
• Languages: English
• ISSNs: 0308-0161

Abstract

Abstract: In a previous paper, a novel PIG is reported, and in this paper, more elements are given and a Deep-learning technology-based pigging scheme is proposed. The PIG mainly consists of a speed-control unit and a wax-removal unit which are connected by a couple of Hook joints. It differentiates itself from the previous proposal by outstanding features including measuring arms, turbine generator, etc. The realization of jetting, cutting, and bypass valve-based motion control mechanism is elaborated. To overcome the disadvantages of traditional wax-removal methods and improve the processing efficiency, a new intelligent wax-removal algorithm based on Convolution Neural Network is proposed to realize a real-time identification of different wax layer thickness. In addition, the training results of the Convolution Neural Network method are compared with some other traditional machine-learning algorithms to prove its superiority, and it lays a foundation for the practical pigging application in the future. Graphical abstract: Highlights: A novel wax-removal PIG based on cutting bit and jetting. A bypass valve based speed control of the PIG. An intelligent pigging scheme based on Deep-learning technology.