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Application of ARX neural networks to model the rate of penetration of petroleum wells drilling
(2006-12-01)
Bit performance prediction has been a challenging problem for the petroleum industry. It is essential in cost reduction associated with well planning and drilling performance prediction, especially when rigs leasing rates ...
IMC Control of Oil Wells Pressure during Drilling Modeled as An Integrative Process with Time Delay
(2021-01-14)
Controlling the pressure of oil wells during drilling can be one of the most complex and dangerous processes operating stage. This study proposes the design of an internal model controller (IMC) to control the pressure at ...
An intelligent system to detect drilling problems through drilled cuttings return analysis
(2010-07-07)
Cuttings return analysis is an important tool to detect and prevent problems during the petroleum well drilling process. Several measurements and tools have been developed for drilling problems detection, including mud ...
A genetic neuro-model reference adaptive controller for petroleum wells drilling operations
(2007-12-01)
Motivated by rising drilling operation costs, the oil industry has shown a trend towards real-time measurements and control. In this scenario, drilling control becomes a challenging problem for the industry, especially due ...
Classification of petroleum well drilling operations using Support Vector Machine (SVM)
(2007-12-01)
During the petroleum well drilling operation many mechanical and hydraulic parameters are monitored by an instrumentation system installed in the rig called a mud-logging system. These sensors, distributed in the rig, ...
Application of ARX neural networks to model the Rate of Penetration of petroleum wells drilling
(Acta Press Anaheim, 2006-01-01)
Bit performance prediction has been a challenging problem for the petroleum industry. It is essential in cost reduction associated with well planning and drilling performance prediction, especially when rigs leasing rates ...
Classification of petroleum well drilling operations with a hybrid particle swarm/ant colony algorithm
(2009-11-09)
This paper describes an investigation of the hybrid PSO/ACO algorithm to classify automatically the well drilling operation stages. The method feasibility is demonstrated by its application to real mud-logging dataset. The ...