A Novel Approach for Enhancing Drilling Efficiency through Flat Time Optimization
A Novel Approach for Enhancing Drilling Efficiency through Flat Time Optimization |
||
|
||
© 2024 by IJETT Journal | ||
Volume-72 Issue-9 |
||
Year of Publication : 2024 | ||
Author : Hazem Mohamed El-Ekhteiar, Adel Mohamed Salem, Taher.Elfakharany |
||
DOI : 10.14445/22315381/IJETT-V72I9P109 |
How to Cite?
Hazem Mohamed El-Ekhteiar, Adel Mohamed Salem, Taher.Elfakharany, "A Novel Approach for Enhancing Drilling Efficiency through Flat Time Optimization," International Journal of Engineering Trends and Technology, vol. 72, no. 9, pp. 104-117, 2024. Crossref, https://doi.org/10.14445/22315381/IJETT-V72I9P109
Abstract
Efficient evaluation and improvement of drilling performance are crucial for companies in the oil and gas industry to optimize work plans, scale operations, and allocate financial resources effectively. Drilling operations, which are major expenditure areas, have seen efforts to enhance efficiency and reduce costs. A significant focus has been on optimizing flat time, which accounts for about 30-40% of total well time and significantly impacts well costs. A pioneering project aimed at systematically optimizing flat time analyzed over 2000 flat time sections, establishing a robust baseline and implementing a digital dashboard for real-time performance monitoring across 12 rigs. This approach led to significant time savings of 186 days within two quarters and cost savings of over 150 million dollars over five years. The project's success was also measured by improvements in the Drilling Rate Improvement Index (DRII), showcasing notable efficiency gains. Through data-driven insights and flat-time optimization, this project highlighted the potential for substantial cost savings and operational efficiencies in the oil and gas sector's drilling operations.
Keywords
Drilling performance, Drilling management, Flat Time Optimization, Drilling Operation Excellence, Well Cost Optimization.
References
[1] William Contreras et al., “Tripping Performance Analysis and Quantifying Invisible Lost Time,” International Petroleum Technology Conference, Dhahran, Kingdom of Saudi Arabia, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Naser Al-Barazi et al., “Implementation of Well Performance Management System WPMS Leads to Significant Cost, Time Reduction,” SPE International Heavy Oil Conference and Exhibition, Kuwait City, Kuwait, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Jia Jun Goo et al., “Multiwell Operational Performance Benchmarking: A Continuous Drilling Optimization Approach for a Brownfield Drilling Project in Malaysia,” SPE Intelligent Oil and Gas Symposium, Abu Dhabi, UAE, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Flavio Ferrari et al., “Integrated Rig Management Platform,” Abu Dhabi International Petroleum Exhibition & Conference, Abu Dhabi, UAE, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Azlan Mohamad, Raihana Radzlan, and Wan Helmi Wan Hassan, “Dare to Change: PETRONAS New Approach to Implement Artificial Intelligence of Wells Activity Performance and Benchmarking Tool,” Abu Dhabi International Petroleum Exhibition & Conference, Abu Dhabi, UAE, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Musab Khudiri et al., “Utilization of Single Real Time Data Visualization and Transmission Solution in Oil and Gas Field Development,” Abu Dhabi International Petroleum Exhibition and Conference, Abu Dhabi, UAE, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Musab Khudiri et al., “Saudi Aramco Real-Time Drilling Operation Activity Recognition & Analysis Engine,” SPE Middle East Intelligent Oil and Gas Conference and Exhibition, Abu Dhabi, UAE, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[8] William Contreras Otalvora et al., “A Comprehensive Approach to Measure the RealTime Data Quality Using Key Performance Indicators,” SPE Annual Technical Conference and Exhibition, Dubai, UAE, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Javed Akbar Khan et al., “Quantitative Analysis of Blowout Preventer Flat Time for Well Control Operation: Value Added Data Aimed at Performance Enhancement,” Engineering Failure Analysis, vol. 120, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Sulaiman Marzoug Al-Ghunaim et al., “Operations Efficiency: Improved Well Planning Methodology Based on Invisible Lost Time Smart KPIs,” SPE Middle East Oil & Gas Show and Conference, Manama, Kingdom of Bahrain, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Syed Ali Raza et al., “Performance Enhancement of Drilling and Completions Operations in Giant Offshore Field Abu Dhabi by Tracking and Monitoring Invisible Lost Time and Defined KPIs,” Abu Dhabi International Petroleum Exhibition & Conference, Abu Dhabi, UAE, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Louanas Ouahrani et al., “Invisible Lost Time Measurement and Reduction Contributes to Optimizing Total Well Time by Improving ROP and Reducing Flat Time,” SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, Dammam, Saudi Arabia, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Carlos Damski, “Systematic Management for Drilling Process Improvement,” SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, Bali, Indonesia, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Ahmad Al Ady et al., “Operation Efficiency and Rig Performance Improvements through Data Analytics,” Gas & Oil Technology Showcase and Conference, Dubai, UAE, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Tim Croucher, and J.G. Combo, “Creative Changes in Phillips Petroleum Norway's Drilling Management Philosophy Leads To Significant Improvements in Drilling Performance,” IADC/SPE Drilling Conference, New Orleans, Louisiana, 1996.
[CrossRef] [Google Scholar] [Publisher Link]