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Keywords: reinforcement learningClose
Paper presented at the IADC/SPE International Drilling Conference and Exhibition, March 8–10, 2022
Paper Number: SPE-208736-MS
... Abstract Operators drilling a directional well may suffer the uncertainties from the downhole environment, the equipment, and the human decision-making process. We proposed a method to evaluate steering decisions of multiple reinforcement learning agents by calculating the estimated total...
Paper presented at the SPE/IADC International Drilling Conference and Exhibition, March 8–12, 2021
Paper Number: SPE-204105-MS
... In the following section, the methodology and the reinforcement learning framework are introduced. Section 3 will present some experiments and results, then followed by the conclusion section. Method Domain Randomization As shown in Figure 1 , with a bent-motor BHA, the driller can...
Paper presented at the IADC/SPE International Drilling Conference and Exhibition, March 3–5, 2020
Paper Number: SPE-199548-MS
..., is very large causing computational hurdles for real time implementation. This paper describes a time-efficient digital twinning approach that uses reinforcement learning (RL) to simulate scenarios corresponding to multiple hole cleaning actions. Digital twinning of cuttings transport in a wellbore...
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