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Forecasting the Development of Heavy-Oil Reserves in Ultra-Deep Waters Using Technological Risk Models

机译:使用技术风险模型预测超深水区的重油储量发展

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The largest remaining reserves of heavy oil can bernconsidered an important energy source for future supply.rnRecent discoveries of heavy-oil in ultra-deep environmentsrnhave stimulated several companies in investing in these newrnassets for future revenues despite the uncertainties aboutrntechnology development for future field exploitation.rnThis paper presents a forecast model for assessing futurerntechnology achievements – necessary for the development ofrnheavy oil fields in ultra-deep water - through logistic utilityrnmodels. Using simulation results of three hypothetical fieldsrnwith similar characteristics to some recent discoveries inrnCampos Basin in Brazil, a scenario for the next ten years wasrndeveloped based on the decision to go ahead with the projects.rnA time-trend curve was employed to estimate the necessaryrnperiod to achieve suitable technologies for field developmentrn(costs reduction) using a technological risk-aversionrncoefficient. The forecast model executes an economicrnsensitivity analysis on key input variables such as oil prices,rnoil characteristics (viscosity, API gravity), production profile,rncapital expenditures and operational costs. These uncertainrnparameters are important because production technologies forrnheavy oil in ultra-deep waters are not completely dominatedrnby the industry.rnSimulations from three selected models indicated thatrnunder the worst CAPEX and OPEX scenario for heavy oil, arnvalue reduction of 50% would be necessary for bothrnparameters and the logistic model estimates that therntechnology would only be available after 10 years.
机译:剩余的最大重油储备可以被认为是未来供应的重要能源。rn在超深环境中重油的最新发现rn刺激了几家公司投资这些新资产以增加未来收入,尽管有关未来田间开采技术发展的不确定性。本文提出了一种通过Logistic效用模型评估未来技术成就的预测模型,这对于开发超深水稠油油田是必不可少的。利用三个假想油田的模拟结果,这些假想油田具有与巴西坎普斯盆地最近的一些发现特征相似的特征,根据该项目进行的决定,制定了未来十年的方案。使用时间趋势曲线估算了实现该目标所必需的时间使用技术风险规避系数的适合于现场开发的技术(降低成本)。预测模型对关键输入变量执行经济敏感性分析,例如油价,尼尔特征(粘度,API重力),生产概况,资本支出和运营成本。这些不确定的参数很重要,因为超深水区的重油生产技术并没有完全被行业支配。来自三个选定模型的模拟表明,在重油的最坏CAPEX和OPEX情景下,这两个参数都需要将值减少50% Logistic模型估计,只有10年后才能使用该技术。

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