Risk assessment of drilling and completion operations in petroleum wells using a Monte Carlo and a neural network approach

This paper intends to show how two different methodologies, a Monte Carlo simulation method and a connectionist approach can be used to estimate the total time assessment in drilling and completion operations of oil wells in deep waters. The former approach performs a Monte Carlo simulation based on...

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Bibliographische Detailangaben

Hauptverfasser:	Coelho, D.K., Roisenberg, M., Filho, P.Jd.F., Jacinto, C.M.C.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Costs Drilling Intelligent networks Monte Carlo methods Neural networks Petroleum Risk analysis Risk management Uncertainty
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