... (2.2) ( Δ P ) F r i c t i o n a l = f L ρ ν 2 2 D where: f is the friction factor; L is the pipe length [m]; v p is the fluid density [kg/ m 2 ]; software engineering optimization problem upstream oil & gas...

... the rheological data best, with a more uniform symmetrical error distribution than the two-parameter models. drilling fluid formulation optimization problem upstream oil & gas fluid loss control asia government artificial intelligence drilling fluid property united states government drilling...

... by the operator. united states government acceptance criteria neural network machine learning upstream oil & gas optimization problem real time system rop international drilling conference objective prediction drilling operation artificial intelligence vibration driller downhole vibration...

... parameters under real differential fluid pressure. machine learning optimization problem bit selection neural network artificial intelligence upstream oil & gas rock drillability modeling axial force presented cutter back rake angle real time system bit design regression correlation...

.... artificial intelligence clojure machine learning optimization problem drillstring design cobol python drillstring dynamics yplcalibrationfromrheometer api value 5 rheological behavior software open-source community implementation algorithm programming language drilling equipment upstream oil...

... was tested live on a drilling rig in collaboration with an operator. The results from the field test are presented in the paper. drilling measurement drilling data acquisition real time system optimization problem measurement while drilling objective function directional drilling vibration data...

... with this drill bit tracking scheme. Lateral deviations from the magnetic/gyro measurements of up to 20m have been observed. The lateral position uncertainty can be as low as a couple of meters under optimal conditions. drilling measurement optimization problem drilling data acquisition drilling...

..., bit aggressiveness and founder point. Results from active tests in a simulated environment and advisory mode against real field data are presented and discussed. optimization problem founder point drilling optimization drilling operation drilling equipment constraint artificial...

... development of new approximate models of the drilling processes. This paper demonstrates the MTHM as an initial step towards integration of drilling and geosteering modelling. real time system reservoir surveillance production monitoring production control optimization problem upstream oil...

... and successful operations on the Moon leading to more robust exploration of the targeted lunar regions. us government machine learning optimization problem drilling optimization drilling operation optimization module lunar subsurface sample information artificial intelligence upstream oil...

... penalized procedure is developed that optimizes this alignment map to minimize a misfit function, while taking the prior knowledge into consideration. machine learning bayesian inference drilling measurement optimization problem drilling data acquisition drilling operation stratigraphy typelog...

... are then jointly used to formulate geosteering decision-making as a stochastic optimization problem. Finally, this optimization problem can be solved to aid decision making. This is done without the need for humans to interact, which significantly reduces potential information loss. This procedure is illustrated...

... in the safe zone. Also, no significant deviations in rotary trends were observed. drilling optimization real time system optimization problem artificial intelligence fluctuation rop recommendation wob dashboard upstream oil & gas prediction driller petroleum engineer differential...

.... As observed in the case studies, this can lead to a significant improvement in drilling performance, near-real-time optimization of the drilling parameters, and minimizing non-productive time due to sudden changes in formation type. drilling optimization machine learning optimization problem...

... operation bha change calibration test result procedure optimization problem Directional Drilling wellbore propagation model Survey Point Drilling society of petroleum engineers prediction angular velocity test error inclination information drilling action drilling data training distance...

.... Upstream Oil & Gas deployment Artificial Intelligence closed-loop drilling optimization system application optimization problem setpoint driller parameter limit roadmap Drilling rop mse optimization RPM dysfunction SPE IADC Drilling Conference drilling operation optimization...

... reduction in average mill time. Artificial Intelligence machine learning optimization problem surface weight whipstock length Upstream Oil & Gas Downhole Measurement objective function correlation recommendation exit job WOB modeling downhole data operation whipstock exit operation...

... autonomous system angular velocity optimization problem reciprocation friction test estimation drilling condition drilling operation rotational speed Artificial Intelligence procedure drilling incident autonomous drilling function Drilling drilling system automation society of petroleum...

... tool being used which results in a loss of optimality when sliding and rotating instructions are fitted on a geometric optimal path. The formulation of the optimization problem varies greatly between rotary steerable systems (RSS) and mud-motor configurations. Additional cost functions and constraints...

... deepwater locations, in Brazil. The real time optimization procedures proposed in the present paper are a further step to ensure the reliability of MPD operations in challenging scenarios, aiming enhanced efficiency and safety. well control optimization problem Artificial Intelligence Upstream Oil...