With the advent of the digital age, big data, automation and artificial intelligence solutions are rapidly opening the door to a deeper and more comprehensive understanding of drilling operations around the world. Exponential growth in data acquisition, modeling and predictive capabilities will enable multiple drilling teams to identify hidden patterns and correlations to address the most complex challenges in well construction.
Promising initiatives undertaken by operators, service companies, and academia to not only recognize the details of past drilling events, but also to accurately simulate, predict, and automate complex situations with relevant SPE papers It was interesting to read about. Topics such as machine learning to improve decision-making, equipment failure prediction, well placement look-ahead, and autonomous operations are receiving significant industry interest.
Therefore, the drilling-related sector will continue to see increased demand for a digitally skilled workforce and new information and technology workflows will be incorporated into the well lifecycle.
As the number of rigs in operation continues to grow, safety must remain a top priority for drilling operations. Advances in digital technology and automation contribute to this goal, with a focus on cost control, operational consistency and reduced carbon footprint. Ongoing actions will also help accelerate the development of geothermal energy as part of the future renewable energy mix.
The selected papers highlight their interesting contributions to driving innovation and facilitating the efficient use of processes and technology.
Tech Paper of the Month
Machine learning model developed for penetrance optimization
Autonomous Directional Drilling Achieved with Industry 4.0 Platform
AI-driven permanent cut monitoring enables safer and faster drilling
Suggested additional resources
SPE 205899 Innovative Microchip Technology In-Drill Measurements Determine Accurate Well Characteristics for Efficient Drilling Operations Zuyang Zhu, Sinopec, etc.
New real-time wellbore collision avoidance monitoring with SPE 211791 Definitive Dynamic Survey and Passive Magnetic Ranging Mahmoud ElGizawy, SLB, et al.
SPE 210306 Drilling Heat Map for Active Thermal Management of Geothermal Wells Mohamed Shafik Khaled, University of Texas at Austin, etc.
Danny Ochoa SPE serves SLB as the Western Hemisphere Drilling Domain Champion. He has been active in the oil and gas industry for over 20 years and has previously worked on various drilling projects in Brazil, Colombia, the Gulf of Mexico, Mexico, and Venezuela. Ochoa has been directly involved in implementing technology solutions that improve drilling performance onshore and offshore. He holds a Bachelor’s Degree in Petroleum Engineering from the Universidad de America in Colombia, JPT Editorial Review Board.
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