1 Baker Hughes, Drilling Services, Houston, United States of America.
2 Baker Hughes, Well Construction, Houston, United States of America.
World Journal of Advanced Engineering Technology and Sciences, 2025, 17(01), 541–543
Article DOI: 10.30574/wjaets.2025.17.1.1468
Received on 10 September 2025; revised on 10 October 2025; accepted on 23 October 2025
Data-driven well planning integrates geological, drilling, and emissions data to optimize well trajectories, fluid design, and equipment selection, ultimately reducing energy consumption and carbon intensity. This paper applies Life Cycle Assessment (LCA) to evaluate the energy savings enabled by digital well planning systems. The study demonstrates that the use of digital planning tools can reduce overall rig energy demand by 8–12% per well by minimizing non-productive drilling, optimizing bit runs, and improving hole cleaning efficiency. The findings reinforce data-driven planning as a cornerstone of sustainable drilling.
Drilling; Sustainability; Well Trajectory; Energy Savings
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Rizwan Khan and Muhammad Ahsan. Data-driven well planning and its impact on energy efficiency. World Journal of Advanced Engineering Technology and Sciences, 2025, 17(01), 541–543. Article DOI: https://doi.org/10.30574/wjaets.2025.17.1.1468.