挪威大陆架钻机费率的建模和预测

T. Skjerpen, Halvor B. Storrøsten, K. E. Rosendahl, Petter Osmundsen
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引用次数: 9

摘要

钻机市场知识对于了解全球石油市场至关重要。在本文中,我们首先为钻机市场开发了一个简单的议价模型。然后,我们从经验上考察了1991年第四季度至2013年第四季度在挪威大陆架作业的浮子钻机费率形成的最重要驱动因素。我们使用带有两个方程的简化时间序列模型,并报告钻机率和产能利用率的条件点和自举区间预测。然后,我们考虑了两种替代模拟,以研究石油价格和剩余石油储量如何影响浮子的钻机速率形成。在第一个替代模拟中,我们假设在整个预测期内,原油价格相对较高,相当于100美元/桶(2010年),而参考案例的特点是实际油价,并根据预测期内最后几个季度的外推值。根据我们的研究结果,随着油价的上涨,2016年第四季度的钻机费率将高出34%左右。在第二个备选模拟中,我们探讨了打开巴伦支海和Jan Mayen周围地区进行石油活动的影响。这有助于抑制预测期内钻机费率和产能利用率的下降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling and Forecasting Rig Rates on the Norwegian Continental Shelf
Knowledge about rig markets is crucial for understanding the global oil market. In this paper we first develop a simple bargaining model for rig markets. Then we examine empirically the most important drivers for rig rate formation of floaters operating at the Norwegian Continental Shelf in the period 1991q4 to 2013q4. We use reduced form time series models with two equations and report conditional point and bootstrapped interval forecasts for rig rates and capacity utilization. We then consider two alternative simulations to examine how the oil price and remaining petroleum reserves influence rig rate formation of floaters. In the first alternative simulation we assume a relatively high crude oil price equal to 100 USD (2010) per barrel for the entire forecast period, whereas the reference case features the actual oil price with extrapolated values for the last quarters in the forecast period. According to our results, the rig rates will be about 34 percent higher in 2016q4 with the higher oil price. In the second alternative simulation we explore the effects of opening the Barents Sea and areas around Jan Mayen for petroleum activity. This contributes to dampening the fall in the rig rates and capacity utilization over the last part of the forecast period.
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