Emergence of Data Science, Reduction of Carbon Footprint, and the Value of Interventions in Increasingly Constrained Drilling Market

Wednesday, 22 March

1330 - 1645

Waterway 4

Technical Session

Historical and new means of gathering subsurface and equipment data can be used to improve well interventions, from candidate selection through operational execution and post-job analysis. This session examines how data science is applied to transform data into value to help organizations answer the call for capital discipline while enhancing value in the industry and identifying solutions to manage carbon footprint.

Chairperson

Eddie Valverde - Emerald Surf Sciences

Rair Barraez - Well Data Labs

1330-1400 212922
The Intervention Opportunity, Why the Industry Does Not Do More and How New Collaborative Workflows with Aligned Outcomes Can Change This

M.E. Billingham, SLB; F. Proud, North Sea Transition Authority; P. Ramondenc, SLB
1400-1430 212914
Downhole Target Milling Characterization Coupled with Cumulative Sum Event Detection Algorithm Accelerates Automation of Coiled Tubing Operations

S. Hässig Fonseca, P. Ramondenc, N.J. Molero, SLB
1430-1500 212936
Utilizing Manually Tracked Variables To Derive Complex Equations In Real-time Platforms

W.B. Ott, Redhawk Coil Tubing, LLC; R. Fairley, T. Thomas, J.C. Pursell, C. Ables, M. Guzman Luna, NOV Inc.
1545-1615 212912
Applications Of Machine Learning Methods To Predict Hole Cleaning In Horizontal And Highly Deviated Wells

M. Mendez, R.M. Ahmed, H. Karami, University of Oklahoma; M.S. Nasser, I.A. Hussein, Qatar University; S. Garcia Prada, A. Gonzalez, University of Oklahoma
1615-1645 212942
Reducing Emissions for Extended-Reach Well Stimulation Without the Need of Intervention

T. Watkins, J.Y. Najafov, E. Watson, Advanced Upstream; S. Livescu, University of Texas at Austin

2023 Technical Program

Emergence of Data Science, Reduction of Carbon Footprint, and the Value of Interventions in Increasingly Constrained Drilling Market