OTC Brasil 2017


Book Description




OTC Brasil 2017


Book Description




Proceedings of the International Field Exploration and Development Conference 2022


Book Description

This book focuses on reservoir surveillance and management, reservoir evaluation and dynamic description, reservoir production stimulation and EOR, ultra-tight reservoir, unconventional oil and gas resources technology, oil and gas well production testing, and geomechanics. This book is a compilation of selected papers from the 12th International Field Exploration and Development Conference (IFEDC 2022). The conference not only provides a platform to exchanges experience, but also promotes the development of scientific research in oil & gas exploration and production. The main audience for the work includes reservoir engineer, geological engineer, enterprise managers, senior engineers as well as professional students.




Wellbore Integrity


Book Description

There have been concerns about the integrity of thousands of wells drilled worldwide for different purposes ranging from oil and gas to geological carbon sequestration. This is the first book to integrate different aspects of wellbore integrity into a single volume. It looks at the energy sector's green wave movement by expanding an important topic for practitioners, regulators, and students. It is an area where petroleum and subsurface engineers will increasingly need to be involved in the future to address growing expectations regarding environmental impacts and sustainability. Coverage also includes recent developments in regulations and R&D with indications on emerging areas. Wellbore Integrity: From Theory to Practice will be a valuable resource for practicing engineers and students working on problems related to subsurface energy, subsurface disposals, and environmental impacts of oil and gas wells. In parallel, it will be a valuable reference for engineers and scientists interested in repurposing existing wells for carbon sequestration or geothermal purposes.




Handbook of Research on Smart Technology Models for Business and Industry


Book Description

Advances in machine learning techniques and ever-increasing computing power has helped create a new generation of hardware and software technologies with practical applications for nearly every industry. As the progress has, in turn, excited the interest of venture investors, technology firms, and a growing number of clients, implementing intelligent automation in both physical and information systems has become a must in business. Handbook of Research on Smart Technology Models for Business and Industry is an essential reference source that discusses relevant abstract frameworks and the latest experimental research findings in theory, mathematical models, software applications, and prototypes in the area of smart technologies. Featuring research on topics such as digital security, renewable energy, and intelligence management, this book is ideally designed for machine learning specialists, industrial experts, data scientists, researchers, academicians, students, and business professionals seeking coverage on current smart technology models.







Machine Learning and Data Science in the Power Generation Industry


Book Description

Machine Learning and Data Science in the Power Generation Industry explores current best practices and quantifies the value-add in developing data-oriented computational programs in the power industry, with a particular focus on thoughtfully chosen real-world case studies. It provides a set of realistic pathways for organizations seeking to develop machine learning methods, with a discussion on data selection and curation as well as organizational implementation in terms of staffing and continuing operationalization. It articulates a body of case study–driven best practices, including renewable energy sources, the smart grid, and the finances around spot markets, and forecasting. - Provides best practices on how to design and set up ML projects in power systems, including all nontechnological aspects necessary to be successful - Explores implementation pathways, explaining key ML algorithms and approaches as well as the choices that must be made, how to make them, what outcomes may be expected, and how the data must be prepared for them - Determines the specific data needs for the collection, processing, and operationalization of data within machine learning algorithms for power systems - Accompanied by numerous supporting real-world case studies, providing practical evidence of both best practices and potential pitfalls




Artificial Intelligence and Soft Computing


Book Description

The two-volume set LNAI 13588 and 13589 constitutes the refereed post-conference proceedings of the 21st International Conference on Artificial Intelligence and Soft Computing, ICAISC 2022, held in Zakopane, Poland, during June 19–23, 2022. The 69 revised full papers presented in these proceedings were carefully reviewed and selected from 161 submissions. The papers are organized in the following topical sections: Volume I: Neural networks and their applications; fuzzy systems and their applications; evolutionary algorithms and their applications; pattern classification; artificial intelligence in modeling and simulation. Volume II: Computer vision, image and speech analysis; data mining; various problems of artificial intelligence; bioinformatics, biometrics and medical applications.




Transdisciplinary Engineering for Complex Socio-technical Systems


Book Description

Industry and society are complex socio-technical systems, and both face problems that can only be solved by collaboration between different disciplines. Collaboration between academia and practice is also needed to develop viable solutions. Many engineering problems also require such an approach, which is known as Transdisciplinary Engineering (TE). This book presents the proceedings of the 26th ISTE International Conference on Transdisciplinary Engineering, held in Tokyo, Japan, from 30 July - 1 August 2019. The title of the conference was: Transdisciplinary Engineering for Complex Socio-technical Systems, and of the 86 submitted papers, 68 peer-reviewed papers by authors from 17 countries were delivered at the conference. These papers range from theoretical and conceptual to strongly pragmatic. They address industrial best practice and are grouped here under 10 themes: advanced robotics for smart manufacturing; design of personalized products and services; engineering methods for industry 4.0; additive and subtractive manufacturing; decision supporting tools and methods; complex systems engineering; big data analytics in manufacturing and services; concurrent engineering; cost modeling; and digital manufacturing, modeling and simulation. Presenting the latest research results and knowledge of product creation processes and related methodologies, the book will be of interest to researchers, design practitioners, and educators alike.




Applied Well Cementing Engineering


Book Description

Applied Well Cementing Engineering delivers the latest technologies, case studies, and procedures to identify the challenges, understand the framework, and implement the solutions for today's cementing and petroleum engineers. Covering the basics and advances, this contributed reference gives the complete design, flow and job execution in a structured process. Authors, collectively, bring together knowledge from over 250 years of experience in cementing and condense their knowledge into this book. Real-life successful and unsuccessful case studies are included to explain lessons learned about the technologies used today. Other topics include job simulation, displacement efficiency, and hydraulics. A practical guide for cementing engineer, Applied Well Cementing Engineering, gives a critical reference for better job execution. - Provides a practical guide and industry best practices for both new and seasoned engineers - Independent chapters enable the readers to quickly access specific subjects - Gain a complete framework of a cementing job with a detailed road map from casing equipment to plug and abandonment