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Appraisal of Potential Hydrocarbon Zones in Masila Oil Field, Yemen

机译:评估潜在的碳氢化合物在Masila区油田、也门

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Hydrocarbons serve the prime energy source of the world and the backbone to industrial development. Hydrocarbon potential is explored here using the spatial multi-criteria decision-making method. In order to demarcate the hydrocarbon potential zones within Masila oil field, Yemen, various thematic layers of multi-criteria factors affecting the hydrocarbons such as basement depth map (BDM), gravity anomaly map (GAM), magnetic anomaly map (MAM), subsurface faults system map (SFSM), upper syn-rift isopach map (USRIM), post-rift isopach map (PRIM), and lower syn-rift isopach map (LSRIM) were generated using the information extracted from both the geophysical and wells data available for the oil field. Geographical information system (GIS) techniques were used to generate various thematic maps that were subsequently converted to raster format and reclassified into various classes on the basis of their relative importance and the opinion of relevant experts. These thematic maps and their feature classes were assigned weights (eigenvalues) and rank by using the analytic hierarchy process (AHP) and following the theories of multi-criteria analysis (MCA). Furthermore, these maps were superimposed using the weighted linear combination (WLC) model on the GIS platform. The results of the integration of the thematic maps were classified into three classes representing the three hydrocarbon potential zones, namely, high potential zone (39.8%), moderate potential zone (49.1%), and low potential zone (11.1%). The cross plots of occurrence of the hydrocarbon reservoir, existing oil fields, and well locations were inferred for validation. The validation results revealed a good prospect for hydrocarbon potential in the study area. The novel quantitative approach used in the present study is capable of providing comprehensive results and assessment of hydrocarbons in the Masila oil field and other areas as well.
机译:碳氢化合物的主要能量来源世界工业发展的支柱。烃潜力是探索使用空间多准则决策方法。为了划分油气潜力区域内Masila油田、也门、各种主题层的多因素影响地下室深度等碳氢化合物地图(BDM),重力异常图(GAM),磁异常地图(老妈),地下断层系统地图(SFSM),上层syn-rift等厚线图(USRIM),断裂后等厚线图(的),并降低syn-rift等厚线图(LSRIM)生成的使用地球物理信息提取和井数据用于油田。地理信息系统(GIS)技术用于生成各种专题地图吗随后被转换为光栅格式和重新分类成不同的类的基础上它们的相对重要性和的意见相关的专家。特性类被分配权重通过使用分析(特征值)和排名层次分析法(AHP)和后多标准分析理论(MCA)。此外,这些地图叠加使用加权线性组合(WLC)模型GIS平台。专题地图是分为三种类代表三个碳氢化合物潜在的区域,即高潜力区(39.8%),中度潜在区(49.1%)和低潜力区(11.1%)。发生油气储层的存在油田,井位置推断了验证。前景良好的油气潜力研究区域。在目前的研究能够提供综合结果和评估Masila油田和其他碳氢化合物区域。

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