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Methods for Petroleum Well Optimization
Automation and Data Solutions
- 1st Edition - September 22, 2021
- Authors: Rasool Khosravanian, Bernt S. Aadnoy
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 0 2 3 1 - 1
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 0 2 3 2 - 8
Drilling and production wells are becoming more digitalized as oil and gas companies continue to implement machine learning andbig data solutions to save money on projects while… Read more
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Request a sales quoteDrilling 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.
- Bridges the gap between theory and practice (from models to code) with content from the latest research developments supported by practical case study examples and questions at the end of each chapter
- Enables understanding of real-time data solutions and automation methods available specific to drilling and production wells, such
as digital well planning and construction through to automatic systems - Promotes the use of open-source code which will help companies, engineers, and researchers develop their prediction and analysis
software more quickly; this is especially appropriate in the application of multivariate techniques to the real-world problems of petroleum well optimization
Academics (scientists, researchers, MSc. PhD. students) from the fields of oil and gas, optimization, simulation, big data analysis, real-time technology, automation in operations, and decision-making.
Industry: different oil and gas companies that want to improve their organization's drilling and production performance, oil and gas training companies, oil and gas consultants, innovative drilling companies, drilling engineers, operation engineers, production engineers, asset managers, project managers and digitalization managers
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
- No. of pages: 552
- Language: English
- Edition: 1
- Published: September 22, 2021
- Imprint: Gulf Professional Publishing
- Paperback ISBN: 9780323902311
- eBook ISBN: 9780323902328
RK
Rasool Khosravanian
BA