Methods for Petroleum Well Optimization: Automation and Data Solutions

Drilling and production wells are becoming more digitalized as oil and gas companies continue to implement machine learning and big data solutions to save money on projects while reducing energy and emissions. There is not one cohesive resource that bridges between theory and application on how to go from computer modeling to practical use. Methods for Petroleum Well Optimization: Automation and Data Solutions gives today's engineers and researchers real-time data solutions specific for drilling and production assets. Structured for training, the reference covers key concepts, introduction, additional references, and detailed approaches from mathematical to real-time data solutions through technological advances. Topics include digital well construction, moving teams into Onshore Collaboration Centers, performance of drilling plans and operations with the best metaheuristic algorithms, complex trajectories for wellbore stability, mechanical specific energy, casing string placement, well completion design, and case-based reasoning. Supported by practical case studies and fit-for-use MATLAB codes, Methods for Petroleum Well Optimization: Automation and Data Solutions delivers a critical training guide for researchers and oil and gas engineers to scientific based approaches to solve real field problems.