Improving The Exploration Process By Learning From The Past

Learning by experience is both a part of the daily life and the exploration life. A systematic review of the past is essential to improve the exploration process by better managing risks and uncertainties. Learning through different disciplines has become a favoured technique. With new tools for interpretation and simulation, integration and data and the creation of cross-discipline teams, we can take major step forward in understanding the exploration task and its different elements. Global views and lessons learned on the Norwegian Continental Shelf on risk management and retrospective prospect assessment are presented in this book. Detailed exploration case histories from the Norwegian Continental Shelf documenting both positive and negative experiences and highlighting the benefits of integrated thinking and methods are presented. The impact of the application of various state-of-the art and developing technologies on portfolio management, opportunity evaluation and volumetric and risk assessment of prospects and discoveries are reviewed, and the future technological challenges in exploring the remaining hydrocarbon potential of the Norwegian continental Shelf are summarised.

Communities That Learn, Lead, and Last offers a fresh and compelling perspective while providing practical guidance for schools and districts on how to develop "professional learning communities" that serve to instill educational ideals, share wisdom, improve practice, and enhance capacity across the system. Comprised of any combination of teachers, school leaders, staff developers, district personnel, and even students, professional learning communities, as described in this book, break new ground and challenge the status quo by focusing on the reconciliation of individual and organizational expertise, vision, and needs through a variety of collaborations, activities and projects?ranging from classroom-related work to broader issues of policy, leadership, and organizational improvement. Depending on their needs, maturity, purpose, and membership, professional learning communities can be centered on learning, leading, or lasting. Showing how such communities can become the means for improving teaching and learning, as well as promote and sustain educational innovations, the book maps out the community-building essentials, providing guidance, tools, and carefully crafted rubrics.

ARTIFICAL INTELLIGENCE AND DATA ANALYTICS FOR ENERGY EXPLORATION AND PRODUCTION This groundbreaking new book is written by some of the foremost authorities on the application of data science and artificial intelligence techniques in exploration and production in the energy industry, covering the most comprehensive and updated new processes, concepts, and practical applications in the field. The book provides an in-depth treatment of the foundations of Artificial Intelligence (AI) Machine Learning, and Data Analytics (DA). It also includes many of AI-DA applications in oil and gas reservoirs exploration, development, and production. The book covers the basic technical details on many tools used in “smart oil fields”. This includes topics such as pattern recognition, neural networks, fuzzy logic, evolutionary computing, expert systems, artificial intelligence machine learning, human-computer interface, natural language processing, data analytics and next-generation visualization. While theoretical details will be kept to the minimum, these topics are introduced from oil and gas applications viewpoints. In this volume, many case histories from the recent applications of intelligent data to a number of different oil and gas problems are highlighted. The applications cover a wide spectrum of practical problems from exploration to drilling and field development to production optimization, artificial lift, and secondary recovery. Also, the authors demonstrate the effectiveness of intelligent data analysis methods in dealing with many oil and gas problems requiring combining machine and human intelligence as well as dealing with linguistic and imprecise data and rules.

This book constitutes the refereed proceedings of the 9th Mexican Conference on Pattern Recognition, MCPR 2017, held in Huatulco, Mexico, in June 2017. The 29 revised full papers presented were carefully reviewed and selected from 55 submissions. The papers are organized in topical sections on pattern recognition and artificial intelligence techniques, image processing and analysis, robotics and remote sensing, natural language processing and recognition, applications of pattern recognition.

This proceedings volume contains selected papers presented at the 2014 International Conference on Education Management and Management Science (ICEMMS 2014), held August 7-8, 2014, in Tianjin, China. The objective of ICEMMS2014 is to provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the wo

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 11th International Field Exploration and Development Conference (IFEDC 2021). 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.