A major contribution to the state-of-the-art for those interested in multiphase flow in well-bore, drilling cutting, hydrate and/or acid gas involvements The author is a leading researcher on the topics presented, and his development of gas-liquid flow pattern transition mechanism and multiphase flow models are major contributions to the multi-phase flow in wellbore Focuses on acid gas and hydrate involvements, offering the latest results from drilling engineering computation research Presents an emerging hot spot in petroleum engineering, with more multi-phase flow methodologies developed and adopted to improve the engineering process for gas & oil drilling and production
This book chiefly describes the theories and technologies for natural gas hydrate management in deepwater gas wells. It systematically explores the mechanisms of hydrate formation, migration, deposition and blockage in multiphase flow in gas-dominated systems; constructs a multiphase flow model of multi-component systems for wells that takes into account hydrate phase transition; reveals the influence of hydrate phase transition on multiphase flows, and puts forward a creative hydrate blockage management method based on hydrate blockage free window (HBFW), which enormously improves the hydrate prevention effect in deepwater wells. The book combines essential theories and industrial technology practice to facilitate a deeper understanding of approaches to and technologies for hydrate management in deepwater wells, and provides guidance on operation design. Accordingly, it represents a valuable reference guide for both researchers and graduate students working in oil and gas engineering, offshore oil and gas engineering, oil and gas storage and transportation engineering, as well as technical staff in the fields of deepwater oil and gas drilling, development, and flow assurance.
This book chiefly describes the theories and technologies for natural gas hydrate management in deepwater gas wells. It systematically explores the mechanisms of hydrate formation, migration, deposition and blockage in multiphase flow in gas-dominated systems; constructs a multiphase flow model of multi-component systems for wells that takes into account hydrate phase transition; reveals the influence of hydrate phase transition on multiphase flows, and puts forward a creative hydrate blockage management method based on hydrate blockage free window (HBFW), which enormously improves the hydrate prevention effect in deepwater wells. The book combines essential theories and industrial technology practice to facilitate a deeper understanding of approaches to and technologies for hydrate management in deepwater wells, and provides guidance on operation design. Accordingly, it represents a valuable reference guide for both researchers and graduate students working in oil and gas engineering, offshore oil and gas engineering, oil and gas storage and transportation engineering, as well as technical staff in the fields of deepwater oil and gas drilling, development, and flow assurance.
A major contribution to the state-of-the-art for those interested in multiphase flow in well-bore, drilling cutting, hydrate and/or acid gas involvements The author is a leading researcher on the topics presented, and his development of gas-liquid flow pattern transition mechanism and multiphase flow models are major contributions to the multi-phase flow in wellbore Focuses on acid gas and hydrate involvements, offering the latest results from drilling engineering computation research Presents an emerging hot spot in petroleum engineering, with more multi-phase flow methodologies developed and adopted to improve the engineering process for gas & oil drilling and production
This book offers a comprehensive introduction to advanced methods for image and video analysis and processing. It covers deraining, dehazing, inpainting, fusion, watermarking and stitching. It describes techniques for face and lip recognition, facial expression recognition, lip reading in videos, moving object tracking, dynamic scene classification, among others. The book combines the latest machine learning methods with computer vision applications, covering topics such as event recognition based on deep learning,dynamic scene classification based on topic model, person re-identification based on metric learning and behavior analysis. It also offers a systematic introduction to image evaluation criteria showing how to use them in different experimental contexts. The book offers an example-based practical guide to researchers, professionals and graduate students dealing with advanced problems in image analysis and computer vision.
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