1. Strategic Evaluation of Managed Pressure Drilling: An Application on Brazilian Dynamic-Positioning Rigs
- Author
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Reinaldo Akio Tomita, Danilo Colombo, Pedro Esteves Aranha, Julio Cesar Wasserman, André Alonso Fernandes, Cláudio Benevenuto de Campos Lima, Guilherme Siqueira Vanni, and Gilson Brito Alves Lima
- Subjects
020401 chemical engineering ,Computer science ,Mechanical Engineering ,Monte Carlo method ,Energy Engineering and Power Technology ,Drilling ,Dynamic positioning ,02 engineering and technology ,0204 chemical engineering ,010502 geochemistry & geophysics ,01 natural sciences ,0105 earth and related environmental sciences ,Marine engineering - Abstract
Summary The demand for ultradeepwater scenarios invoked the frequent application of managed pressure drilling (MPD) in the last few years. In an ultradeepwater scenario, oil companies face issues such as narrow pressure windows and severe loss zones. Many wells are considered undrillable without the aid of MPD technology. MPD operations need to be correctly evaluated with consideration given to increased time and cost/benefit analysis. In this paper, we propose a probabilistic model to evaluate MPD demand by estimating the optimal number of rigs equipped with MPD and a rotating control device (RCD), and we analyze which intervention strategy is the most cost– and time–effective. Reducing uncertainty is an important factor when making decisions about drilling. We adopted a Monte Carlo simulation using loss–zone estimation, probability of prediction error, the number of rigs equipped with MPD, and several strategies. Better MPD strategies were determined on the basis of available data and the optimal number of rigs equipped with an MPD system and RCD equipment, reducing subjectivity in the decision–making process. The originality of our paper lies in the new quantitative approach to dealing with uncertainty in the prediction of fluid losses and the cost and duration of different MPD strategies, numerically simulating the possible scenarios.
- Published
- 2019