Abstract The spatial prediction of geothermal sites along the Gulf of Suez coastal area, is an essential goal as an attempt for the development of renewable energy sources in Egypt. Remote sensing, geophysical methods and Geographic Information System (GIS) were integrated to appraise the promising geothermal zones. Hot-springs and wells data were collected initially in database for modeling the potential zones through the Bayesian statistical approach. Multi-source datasets were selected to derive factor layers indicating the distribution of geothermal energy such as topographic and geologic maps, Bouguer gravity anomaly and aeromagnetic reduced-to-the-pole maps, seismic data, satellite images, earthquake activities, and Bottom Hole Temperature (BHT) from oil and gas wells. Eight evidence layers were derived, analyzed, and integrated in a GIS platform to develop a Geothermal Potential Model (GPM). The representative ranks and weights were estimated to the spatial evidence layers and their classes respectively based on information value (IV) and weights-of-evidence (WoE) analyses. The eight evidence layers include proximity to major fault, lineaments density, land surface temperature, density of seismic activities, heat flow, temperature gradient at different depths, Curie point depth, and Bouguer anomaly. A geothermal potential map was created and classified the study area into five relatively zones, varied from very poor to very good potential. The very good potential sites are distributed mainly in the highly deep-structured and permeable lithologies. The new promising sites are expected to be in Ras Matarma, Ras Badran, Abu Rudies, Belayim, Abu Durba, El-Tur and some sites in southwestern shoreline of Gulf of Suez. The geothermal potential map was correlated and tested against the distribution of thermal wells and hot-springs. The holistic integrated approach suggests an innovative technique to design management plan and development actions along Gulf of Suez coastal area.

中文翻译：

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基于遥感、GIS和地球物理技术的埃及苏伊士湾沿岸地热资源勘探多准则决策支持

摘要 苏伊士湾沿岸地热场地的空间预测是埃及发展可再生能源的一个重要目标。将遥感、地球物理方法和地理信息系统（GIS）相结合，对有前景的地热区进行评价。温泉和井数据最初是在数据库中收集的，用于通过贝叶斯统计方法对潜在区域进行建模。选择多源数据集导出指示地热能分布的因子层，例如地形和地质图、布格重力异常和航空磁极点图、地震数据、卫星图像、地震活动和井底温度(BHT) 来自油气井。导出、分析了八个证据层，并集成到 GIS 平台中以开发地热潜力模型 (GPM)。基于信息值 (IV) 和证据权重 (WoE) 分析，分别对空间证据层及其类估计了代表性等级和权重。八个证据层包括主断层邻近度、线状密度、地表温度、地震活动密度、热流、不同深度温度梯度、居里点深度和布格异常。创建了一张地热潜力图，并将研究区域分为五个相对区域，从非常差到非常好的潜力。非常好的潜在地点主要分布在高度深结构和渗透性的岩性中。新的有前景的地点预计将在 Ras Matarma、Ras Badran、Abu Rudies、Belayim、Abu Durba、El-Tur 和苏伊士湾西南海岸线的一些地点。将地热潜力图与热井和温泉的分布进行了关联和测试。整体综合方法提出了一种创新技术来设计苏伊士湾沿岸地区的管理计划和开发行动。