基于三维训练图像的多点地质统计学相建模方法——以在蓬莱19-3油田的应用为例
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摘要
蓬莱19-3油田为河流相沉积,区域非均质性较强,且油田主体含油区为气云带,地震资料品质差,地质认识深度较浅,传统的相建模方法无法满足油田整体开发的地质建模要求。在分析传统相建模方法优缺点的基础上,提出了在研究区试用多点地质统计学相建模方法,并对训练图像大小、维数和使用方法进行了比较分析,最后应用三维训练图像结合分区使用训练图像的方法建立研究区的多点地质统计学相模型。该方法对河流相沉积储层的相建模具有较明显的优势,在渤海油田为首次应用,其建模经验能为渤海类似油田的相建模提供借鉴。
Penglai 19-3Oilfield was a fluvial sedimentary system , the regional heterogeneity was stronger , and the main oil-bearing areas were covered by gas cloud , so the quality of seismic data was poor , and the geological understanding was not sufficient , traditional geological modeling methods could not meet the requirements of the overall geological modeling in the oilfield.Based on the analysis of the advantaged and disadvantaged of traditional modeling methods , multipoint geostatistics modeling method were proposed and used in the studied area.After comparative analysis to training image size , training dimension , and application method , a multipoint geostatistic model was built with three dimensional training images and partition training image method.The method has many obvious advantages for modeling fluvial sedimentary reservoirs , this is the first time that the method is used in Bohai Oilfield , and it provides reference for the similar oilfields in Bohai Area.
引文
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