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Optimal Extraction of Geothermal Resources

机译:地热资源的最佳提取

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In this paper we propose a mathematical model for optimizing the way energy is extracted from a geothermal reservoir over time. The model was formulated as a profit maximization problem, with linkages to resource-related functions such as well decline and recharge. A single-tank reservoir model coupled with a wellbore simulator was used to obtain the well decline curves. Several scenarios were investigated, to determine the effects of placing restrictions on the production rate and the lease time for the resource. Analytical solutions were found for simplified versions of the problem while the more complicated scenarios were solved using numerical methods. This model indicated that the optimal behavior pattern would be to extract large amounts of energy in the early stages (first 10 to 15 years) of utilization of the resource, drilling occasional makeup wells to maintain maximum power output for the power plant. As more energy was extracted from the resource, the wells would decline in productivity, to the point where it became uneconomical to drill more make-up wells. After that time, the production from the resource would be governed entirely by the well decline curves, which in turn depended on the state of the resource. Eventually the combined output from the wells became equal to the recharge (which also depended on the state of the resource), at which point sustainable (steady state) extraction was reached. Our investigation indicated that the optimal extraction pattern for the short-term owner (say a 30-year lease holder) and a long-term lease owner (say a government wanting to exploit the resource in a sustainable manner), would be very similar, although the short-term owner would stop drilling make-up wells at a slightly earlier time. The effects of reducing the maximum production capacity to something relatively close to the maximum sustainable extraction rate seemed to lead to a marginally smaller sustainability level, and considerably smaller profits. These results of our modeling were particularly interesting when compared to the extraction process that has taken place in The Geysers geothermal field. They indicate that perhaps the management of The Geysers was not disadvantageous as some might believe, but instead, that market forces may have pushed the development towards an economical optimum.
机译:在本文中,我们提出了一个数学模型,用于优化随时间推移从地热储层中提取能量的方式。该模型被公式化为利润最大化问题,并与资源相关功能(例如井位下降和补给)相关联。使用单罐储层模型和井筒模拟器来获得井下曲线。研究了几种方案,以确定对资源的生产率和租赁时间设置限制的影响。找到了简化版本问题的解析解决方案,而更复杂的情况则使用数值方法进行了解决。该模型表明,最佳行为模式是在资源利用的早期阶段(前10至15年)提取大量能量,偶尔钻一些补给井,以保持发电厂的最大功率输出。随着从资源中提取更多的能源,油井的生产率将下降,以至于钻更多的补油井变得不经济。在那之后,资源的产量将完全由井的下降曲线控制,而下降曲线又取决于资源的状态。最终,油井的总产量等于补给量(这也取决于资源的状态),此时达到了可持续的(稳态)开采。我们的调查表明,短期所有者(例如30年租赁所有者)和长期租赁所有者(例如希望以可持续方式开发资源的政府)的最佳开采模式将非常相似,尽管短期所有者会在稍早的时间停止补给井的钻探。将最大生产能力降低至相对接近最大可持续提取率的效果似乎导致可持续性水平略微降低,利润大大降低。与Geysers地热田中进行的提取过程相比,我们的建模结果特别有趣。他们表明,间歇泉的管理也许并不像某些人所认为的那样不利,但相反,市场力量可能已将开发推向了经济上的最佳状态。

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