This book examines noise-monitoring technologies and tools for registering the threshold of development of the latent period of the transition of a facility or product into an emergency state and controlling the dynamics of this development. It also describes how the use of noise technology can improve the accuracy of the results of traditional methods employed in the analysis of noisy signals. Dr. Aliev analyzes the varieties and stages of the generation and development of defects preceding accidents of technical facilities and devices. He shows that registration of the beginning of the latent period in the transition to an emergency state, based on the results of traditional data analysis technologies used in monitoring systems, is sometimes belated due to the impossibility of analyzing the noise correlated with the useful signal. The volume further includes algorithms and technologies for computing estimates of correlation functions, spectral characteristics, and other characteristics of noise. Aimed at professionals and students from a range of fields, including facility and product design engineering, computer science, computational mathematics, control and management systems, geophysics, construction, energy, and medicine, the book provides numerous examples of noise-control intelligent systems. These include implementations at oil and gas production facilities, drilling rigs, and offshore fixed platforms, as well as within transportation, aviation, power engineering, seismology and medicine.

Worldwide oil and gas development has shifted from conventional reservoirs to unconventional and deepwater reservoirs, characterized by high pressure, high temperature, ultra-low permeability, and extensively developed natural fractures. This transition to increasingly hostile environments introduces new challenges in well drilling and completion, such as downhole drilling issues, formation damage, and reduced productivity. Aiming to solve the challenges, drilling and completion technologies have excelled greatly in the past two decades. This book covers managed pressure drilling (MPD), the role of artificial intelligence (AI) in refining drilling processes, and the transformative effects of digitalization and automation. Emphasizing efficiency, safety, and environmental responsibility, the book also integrates methods like casing while drilling for improved efficiency, advanced diagnostics for rig safety, stabilization techniques for wellbores in fractured reservoirs, cement sheath integrity maintenance, and the optimization of continuous gas lift. Bridging theoretical concepts with practical applications, the narrative offers insights into both operational techniques and safety strategies, drawing from past experiences. The current state-of-the-art theories, technologies, and practices are covered, bridging the gaps between fundamental theories and engineering applications.

The volatile, uncertain, complex, and ambiguous (VUCA) nature of environmental and operational conditions is still the major cause of marine accidents, with knock-on effects in terms of casualties, property damage, and marine pollution. Recognized as the most effective approach to navigate VUCA environments, risk-based assessment methods provide a solution to address challenges associated with health, safety, and environmental protection in extreme conditions and when accidents involving engineering structures and infrastructure occur. This book serves as a comprehensive guide to the foundational principles, current practices, and cuttingedge trends in quantitative risk assessment and management for ships and offshore structures. With six partsencompassing a total of 35 chapters, it covers risk assessment and management for offshore installations, oil and gas leaks, collisions and grounding, and fires and explosions. Tailored for ship and offshore structural engineers, naval architects, as well as mechanical and civil engineers involved in advanced safety studies, this book is an invaluable resource for both practicing engineers and researchers in this field.• Offers insights into quantitative risk assessment and asset management for ships and offshore structures inextreme conditions and in the event of accidents• Equips engineers with valuable statistical data sets and enhances data assimilation techniques for precisehazard frequency calculations• Seamlessly integrates fundamental principles with practical applications, addressing emerging challengesand leveraging the latest technological advances in the field

This book presents the proceedings of the 11th Conference on Theory and Applications of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence, ICSCCW-2021, held in Antalya, Turkey, on August 23–24, 2021. The general scope of the book covers uncertain computation, decision making under imperfect information, neuro-fuzzy approaches, natural language processing, and other areas. The topics of the papers include theory and application of soft computing, computing with words, image processing with soft computing, intelligent control, machine learning, fuzzy logic in data mining, soft computing in business, economics, engineering, material sciences, biomedical engineering, and health care. This book is a useful guide for academics, practitioners, and graduates in fields of soft computing and computing with words. It allows for increasing of interest in development and applying of these paradigms in various real-life fields.

This book is a collection of papers presented during the 8th World Conference on Soft Computing in February 2022. The papers cover multiple areas important for soft computing. Some papers are dedicated to fundamental aspects of soft computing, i.e., fuzzy mathematics, type-2 fuzzy sets, evolutionary-based optimization, aggregation, and neural networks. Others emphasize the application of soft computing methods to data analysis, image processing, decision-making, classification, series prediction, economics, control, and modeling.