Methods for Petroleum Well Optimization
Automation and Data Solutions

Helps users optimize their oil and gas drilling and production wells using updated methods and technological approaches

Rasool Khosravanian (Author), Bernt S. Aadnoy (Author)

9780323902311, Elsevier Science

Paperback / softback, published 22 September 2021

552 pages, 550 illustrations (100 in full color)
23.5 x 19 x 3.4 cm, 1.13 kg

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. Up to now there has not been one cohesive resource that bridges the gap between theory and application, showing 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 to drilling and production assets. Structured for training, this reference covers key concepts and detailed approaches from mathematical to real-time data solutions through technological advances. Topics include digital well planning and construction, moving teams into Onshore Collaboration Centers, operations with the best machine learning (ML) and metaheuristic algorithms, complex trajectories for wellbore stability, real-time predictive analytics by data mining, optimum decision-making, and case-based reasoning. Supported by practical case studies, and with references including links to open-source code and fit-for-use MATLAB, R, Julia, Python and other standard programming languages, Methods for Petroleum Well Optimization delivers a critical training guide for researchers and oil and gas engineers to take scientifically based approaches to solving real field problems.

1. Introduction to Digital Twin, Automation and Real-Time Centers 2. Petroleum Well Optimization 3. Wellbore Friction Optimization 4. Wellbore trajectory optimization 5. Wellbore Hydraulics and Hole Cleaning: Optimization and digitalization 6. Mechanical Specific Energy (MSE) and Drilling efficiency 7. Data-driven Machine Learning Solutions to Real-Time ROP Prediction 8. Advanced Approaches and Technology for Casing Setting Depth Optimization 9. Data Mining in Digital Well Planning and Well Construction 10. Well Completion Optimization by Decision-Making 11. Monte Carlo Simulation in Wellbore Stability Optimization 12. Case-Based Reasoning (CBR) in Digital Well Planning and Construction

Subject Areas: Petroleum technology [THFP], Gas technology [THFG], Fossil fuel technologies [THF]