利用多种地球物理方法确定沙特阿拉伯东部哈萨国家公园的地下特征

IF 2.9 4区 综合性期刊 Q1 Multidisciplinary
Abid Khogali, Konstantinos Chavanidis, Panagiotis Kirmizakis, Alexandros Stampolidis, Abdul Latif Ashadi, Tilman Hanstein, Emin Candansayar, Pantelis Soupios
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引用次数: 0

摘要

位于沙特阿拉伯东部的哈萨拥有世界上最大的绿洲和天然灌溉地。历史上,有 280 处天然泉水灌溉过农场,不同的水质表明地下水系统十分复杂。为了探究这一问题,我们在哈萨国家公园的一个偏远地区采用了多种地球物理方法,这里的农业和工业活动所产生的文化噪音最小。采用五种地球物理方法--210 个重力站、3.6 千米磁剖面、46 个磁测(MT)站、6 个音频-磁测(AMT)站和 35 个瞬态电磁(TEM)站--重建三维地下模型。对重力和电磁数据的处理和整合揭示了一个复杂的地下结构,其中包括横向电阻率(pr)不连续性、可能的盐穹顶结构以及影响地下水流的断裂带。主要发现包括显示潜在盆地的低电阻率异常和显示基底岩石的高电阻率区。MT 模型的深度(z)达 4.5 千米,而二维重力模型的深度(z)达 1.8 千米。MT 数据中的低电阻率区与高电位含水层相关。重力、TEM 和 MT 数据的对比显示出良好的一致性,证实了地下特征。这些结果表明了水文地质的复杂性,对地下水管理和资源勘探产生了影响。这种综合建模方法有助于深入了解定性水文地质特征和更深层次的地下条件,可能会对位于研究区(A)附近的世界最大常规油田 Ghawar 产生影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Subsurface Characterization of the Al-Hassa National Park, Eastern Saudi Arabia, Using Multi-Geophysical Methods

Subsurface Characterization of the Al-Hassa National Park, Eastern Saudi Arabia, Using Multi-Geophysical Methods

Al-Hassa, located in eastern Saudi Arabia, hosts the world’s largest oasis and naturally irrigated land. Historically, 280 natural springs irrigated farms, with varying water quality suggesting a complex subsurface regime. To explore this, a multi-geophysical approach was applied in a remote part of the Al-Hassa National Park, where minimum cultural noise from agricultural and industrial activities is present. Five geophysical methods—210 gravity stations, a 3.6 km magnetic profile, 46 magnetotelluric (MT), six audio-magnetotelluric (AMT), and 35 transient electromagnetic (TEM) stations—were acquired to reconstruct a 3D subsurface model. Processing and integration of gravity and electromagnetic data revealed a complex underground structure with lateral resistivity (pr) discontinuities, a possible salt dome structure, and fracture zones affecting groundwater flow. Key findings include low-resistivity anomalies indicating potential basins filled with low-density (pd) sediments and high-resistivity zones suggesting basement rocks. The MT model reaches 4.5 km depth (z), while the 2D gravity model extends to 1.8 km. Low-resistivity zones in the MT data correlate with high-potential aquifers. The comparison of the gravity, TEM, and MT data showed good agreement, confirming the subsurface features. These results indicate significant hydrogeological complexity, impacting groundwater management and resource exploration. This comprehensive modeling approach provides insights into the qualitative hydrogeological characteristics and deeper subsurface conditions, potentially impacting the world’s largest conventional oilfield, Ghawar, located in the vicinity of the study area (A).

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来源期刊
Arabian Journal for Science and Engineering
Arabian Journal for Science and Engineering 综合性期刊-综合性期刊
CiteScore
5.20
自引率
3.40%
发文量
0
审稿时长
4.3 months
期刊介绍: King Fahd University of Petroleum & Minerals (KFUPM) partnered with Springer to publish the Arabian Journal for Science and Engineering (AJSE). AJSE, which has been published by KFUPM since 1975, is a recognized national, regional and international journal that provides a great opportunity for the dissemination of research advances from the Kingdom of Saudi Arabia, MENA and the world.
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