This book offers a straightforward, informative guide to the chemicals used for gas hydrate formation and inhibition, providing the reader with the latest information on the definition, structure, formation conditions, problems, and applications of gas hydrates. The authors review not only the inhibitors used to prevent or mitigate hydrate formation, but also the conditions under which it is necessary to form hydrates quickly, which require the use of promoters. Various promoters are discussed, including their specifications, functions, advantages and disadvantages. The possibility of using natural reservoirs of gas hydrate as an energy source is also considered. Lastly, due to the difficulty of conducting experiments that reflect all conditions and concentrations, the book presents a number of models that can predict the basic parameters in the presence of the chemicals. Given its scope, the book will be of interest to professionals working in this field in an industrial context, as well as to researchers, undergraduate and graduate students of chemical engineering.

This book provides pathways and strategies for mud engineers and drilling students in the future drilling industry. The data on the effect of drilling mud additives on hydrate formation thermodynamics and kinetics are discussed to aid proper additives selection and blending for optimum performance. Practical field operations of hydrate-related drilling are discussed with insights on future drilling operations. Preface Drilling fluid design is very crucial in all drilling operations. Gas hydrate wells or hydrate sediments are future reservoirs that are believed to produced clean natural gas that will replace the current fossil fuels. Hydrate management has now become a part of the drilling operation and for that matter, relevant knowledge and guidelines of drilling fluid design for hydrate management in drilling-related operations would help establish a strong foundation for hydrate-related drilling operations. This book is useful to mud engineers, students, and industries who wish to be drilling fluid authorities in the21st-century energy production industry.

This book focuses on the application of ionic liquids in flow assurance in the oil and gas industry. It discusses their physiochemical properties, and considers the role of ionic liquids as gas hydrate inhibitors in offshore pipelines. Gas hydrate occurrence can pose a major threat to pipeline integrity. Therefore, different categories of gas hydrate inhibitors and the main factors influencing ionic liquids during gas hydrate inhibition are examined thoroughly. The use of ionic liquids as corrosion inhibitors, their application in flow assurance industry to mitigate corrosion, and factors affecting their performance are discussed. Finally, the applications of ionic liquids in wax, scale and asphaltenes deposition control is explored. The extensive discussion of ionic liquids in flow assurance mean that this book will be of use to researchers, engineers, and industry professionals in upstream processing of the oil and gas sector.

This book offers a straightforward, informative guide to the chemicals used for gas hydrate formation and inhibition, providing the reader with the latest information on the definition, structure, formation conditions, problems, and applications of gas hydrates. The authors review not only the inhibitors used to prevent or mitigate hydrate formation, but also the conditions under which it is necessary to form hydrates quickly, which require the use of promoters. Various promoters are discussed, including their specifications, functions, advantages and disadvantages. The possibility of using natural reservoirs of gas hydrate as an energy source is also considered. Lastly, due to the difficulty of conducting experiments that reflect all conditions and concentrations, the book presents a number of models that can predict the basic parameters in the presence of the chemicals. Given its scope, the book will be of interest to professionals working in this field in an industrial context, as well as to researchers, undergraduate and graduate students of chemical engineering.

This book is useful to flow assurance engineers, students, and industries who wish to be flow assurance authorities in the twenty-first-century oil and gas industry. The use of digital or artificial intelligence methods in flow assurance has increased recently to achieve fast results without any thorough training effectively. Generally, flow assurance covers all risks associated with maintaining the flow of oil and gas during any stage in the petroleum industry. Flow assurance in the oil and gas industry covers the anticipation, limitation, and/or prevention of hydrates, wax, asphaltenes, scale, and corrosion during operation. Flow assurance challenges mostly lead to stoppage of production or plugs, damage to pipelines or production facilities, economic losses, and in severe cases blowouts and loss of human lives. A combination of several chemical and non-chemical techniques is mostly used to prevent flow assurance issues in the industry. However, the use of models to anticipate, limit, and/or prevent flow assurance problems is recommended as the best and most suitable practice. The existing proposed flow assurance models on hydrates, wax, asphaltenes, scale, and corrosion management are challenged with accuracy and precision. They are not also limited by several parametric assumptions. Recently, machine learning methods have gained much attention as best practices for predicting flow assurance issues. Examples of these machine learning models include conventional approaches such as artificial neural network, support vector machine (SVM), least square support vector machine (LSSVM), random forest (RF), and hybrid models. The use of machine learning in flow assurance is growing, and thus, relevant knowledge and guidelines on their application methods and effectiveness are needed for academic, industrial, and research purposes. In this book, the authors focus on the use and abilities of various machine learning methods in flow assurance. Initially, basic definitions and use of machine learning in flow assurance are discussed in a broader scope within the oil and gas industry. The rest of the chapters discuss the use of machine learning in various flow assurance areas such as hydrates, wax, asphaltenes, scale, and corrosion. Also, the use of machine learning in practical field applications is discussed to understand the practical use of machine learning in flow assurance.