Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2021WR031254 |
Bayesian calibration of a natural state geothermal reservoir model, Krafla, north Iceland | |
S. W. Scott; J. P. O’; Sullivan; O. J. Maclaren; R. Nicholson; C. Covell; J. Newson; M. S. Guð; jó; nsdó; ttir | |
2022-01-21 | |
发表期刊 | Water Resources Research
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出版年 | 2022 |
英文摘要 | The Krafla area in north Iceland hosts a high-temperature geothermal system within a volcanic caldera. Temperature measurements from boreholes drilled for power generation reveal enigmatic contrasts throughout the drilled area. While wells in the western part of the production field indicate a 0.5-1 km thick near-isothermal ( ∼210 °C) liquid-dominated reservoir underlain by a deeper boiling reservoir, wells in the east indicate boiling conditions extending from the surface to the maximum depth of drilled wells ( ∼2 km). Understanding these systematic temperature contrasts in terms of the subsurface permeability structure has remained challenging. Here, we present a new numerical model of the natural, pre-exploitation state of the Krafla system, incorporating a new geologic/conceptual model and a version of TOUGH2 extending to supercritical conditions. The model shows how the characteristic temperature distribution results from structural partitioning of the system by a rift-parallel eruptive fissure and an aquitard at the transition between deeper basement intrusions and high-permeability extrusive volcanic rocks. As model calibration is performed using a Bayesian framework, the posterior results reveal significant uncertainty in the inferred permeability values for the different rock types, often exceeding two orders of magnitude. While the model shows how zones of single-phase supercritical vapor develop above the deep intrusive heat source, more data from deep wells is needed to better constrain the extent and temperature of the deep supercritical zones. However, the model suggests the presence of a significant untapped resource at Krafla. |
领域 | 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/346047 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | S. W. Scott,J. P. O’,Sullivan,et al. Bayesian calibration of a natural state geothermal reservoir model, Krafla, north Iceland[J]. Water Resources Research,2022. |
APA | S. W. Scott.,J. P. O’.,Sullivan.,O. J. Maclaren.,R. Nicholson.,...&ttir.(2022).Bayesian calibration of a natural state geothermal reservoir model, Krafla, north Iceland.Water Resources Research. |
MLA | S. W. Scott,et al."Bayesian calibration of a natural state geothermal reservoir model, Krafla, north Iceland".Water Resources Research (2022). |
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