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Appraising ultra-deepwater reserves: A new approach is intended to reduce uncertainty

机译:评估超深水储量:一种新方法旨在减少不确定性

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摘要

Every oil or gas company that has ever existed has put some kind of number on reservoir performance. That number might have been in barrels, cubic feet, flow rate, pressure, metric tons, BTUs, water, a ratio, or some other measure, all measured over time. Time then was remeasured in money. That money translated to an economic metric such as net present value or booked reserves. Such metrics became the decision focus for the future of project investments. The actual metric of risk the investors were willing to take was often parlayed back to a machine (such as the popular computerized Monte Carlo statistical method) to grant comfort to the risk-takers. While we can calculate a risk-money number to several significant digits, how far we drift from hard reality using number analysis is too frequently measured in dry holes and premature production failures. This part of science is more of an art, and art is in the eye of the beholder. Therefore, science and engineering are turning to a machine process once again to see if there can be a more deterministic method we can use.
机译:曾经存在的每家石油或天然气公司都对储层性能进行了一些评估。该数字可能以桶,立方英尺,流量,压力,公吨,BTU,水,比例或其他某种度量单位随时间推移进行度量。然后用金钱重新计算了时间。这笔钱转化为诸如净现值或已记账准备金之类的经济指标。这些指标成为项目投资未来的决策重点。投资者愿意承担的实际风险度量通常被分配回一台机器(例如流行的计算机化的蒙特卡洛统计方法),以使风险承担者感到安心。虽然我们可以将风险货币数量计算为几个有效数字,但是在干燥的井眼和过早的生产故障中,过于频繁地使用数量分析来衡量我们与困难现实之间的距离是多少。科学的这一部分更多地是一门艺术,艺术在情人眼中。因此,科学和工程学再次转向机器过程,以查看是否可以使用更具确定性的方法。

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