利用随机森林回归预测埃及陆地热流:一种机器学习方法

IF 2.9 2区 地球科学 Q3 ENERGY & FUELS
Ahmed Mohamed Bekhit, Mohamed Sobh, Mohamed Abdel Zaher, Tharwat Abdel Fattah, Ahmed I. Diab
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引用次数: 0

摘要

这项工作旨在创建一个机器学习模型,有助于全面了解埃及的地面热流分布。该模型基于随机森林回归方法,采用稀疏分布的热流测量数据集。该模型使用16个地球物理和地质数据库进行训练,这些数据库在地热评价中非常有效。这些数据库为该模型提供了坚实的基础,确保了其预测埃及大地热流的准确性。结果表明,红海裂谷区地表热流值最高,为100 ~ 185 mW/m2。相比之下,地中海近海区域的数值从东部的40兆瓦/平方米到西部的110兆瓦/平方米不等。西奈半岛南部和两个海湾的热流值在60 ~ 90 mW/m2之间,西奈半岛北部的热流值在40 ~ 50 mW/m2之间。东部沙漠中部地区热流值为60 ~ 80 mW/m2,北部和南部地区热流值为50 mW/m2。尼罗河三角洲记录的热流为50兆瓦/平方米,峰值为60兆瓦/平方米。西部沙漠显示出与其地质构造相关的三个不同的热流区:北部不稳定陆架为60 mW/m2,中部稳定陆架为50 - 80 mW/m2,南部的阿拉伯-努比亚地块是埃及陆地热流最低的地区,范围为30 - 60 mW/m2。这项研究的发现强调了埃及复杂的地热性质,突出了受构造活动和地质结构影响的大地热流的重大和有趣的变化。红海裂谷区是地热潜力的热点地区,可用于可持续能源生产。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting terrestrial heat flow in Egypt using random forest regression: a machine learning approach

This work aims to create a machine-learning model that can contribute to a comprehensive understanding of Egypt's terrestrial heat flow distribution. The model is based on the random forest regression method, with a sparsely distributed dataset of heat flow measurements. The model is trained using 16 geophysical and geological databases, which are well-known for their efficacy in geothermal evaluation. These databases provide a robust foundation for the model, ensuring its accuracy in predicting the terrestrial heat flow in Egypt. The results confirm that the Red Sea rift region exhibits the highest terrestrial heat flow values, ranging from 100 to 185 mW/m2. In contrast, the Mediterranean offshore zone shows values varying from 40 mW/m2 in the eastern sector to 110 mW/m2 in the west. The southern part of the Sinai Peninsula and the two Gulfs display heat flow values between 60 and 90 mW/m2, while northern Sinai has lower values between 40 and 50 mW/m2. The central region of the Eastern Desert presents heat flow values of 60 to 80 mW/m2, with northern and southern areas showing 50 mW/m2. The Nile Delta records a heat flow of 50 mW/m2, peaking at 60 mW/m2. The Western Desert reveals three distinct heat flow zones relevant to its geological structure: 60 mW/m2 in the unstable shelf to the north, 50 to 80 mW/m2 in the stable shelf at the center, and the Arabo-Nubian Massif in the south, which has the lowest terrestrial heat flow in Egypt, ranging from 30 to 60 mW/m2. This study's findings underscore Egypt's complex geothermal nature, highlighting significant and intriguing variations in terrestrial heat flow influenced by tectonic activity and geological structures. The Red Sea rift region is a hotspot for geothermal potential, which could be harnessed for sustainable energy production.

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来源期刊
Geothermal Energy
Geothermal Energy Earth and Planetary Sciences-Geotechnical Engineering and Engineering Geology
CiteScore
5.90
自引率
7.10%
发文量
25
审稿时长
8 weeks
期刊介绍: Geothermal Energy is a peer-reviewed fully open access journal published under the SpringerOpen brand. It focuses on fundamental and applied research needed to deploy technologies for developing and integrating geothermal energy as one key element in the future energy portfolio. Contributions include geological, geophysical, and geochemical studies; exploration of geothermal fields; reservoir characterization and modeling; development of productivity-enhancing methods; and approaches to achieve robust and economic plant operation. Geothermal Energy serves to examine the interaction of individual system components while taking the whole process into account, from the development of the reservoir to the economic provision of geothermal energy.
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