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机构地区:[1]长安大学地质工程与测绘学院,陕西西安710054 [2]中国石油勘探开发公司海外研究中心,北京100083 [3]中国石化中原油田公司勘探开发研究院,河南濮阳457000
出 处:《地球科学与环境学报》2007年第2期158-161,共4页Journal of Earth Sciences and Environment
基 金:国家重大基础研究计划项目(2003CB214607)
摘 要:针对常规渗透率解释模型预测的渗透率误差较大,难以满足油田开发中后期油藏数值模拟需求的难题,在分析渗透率中储层岩性、孔隙度、泥质含量诸影响因素的基础上,提出先使用测井曲线采用交会图技术识别出储层岩性,然后根据不同的储层类型,分别建立不同的渗透率预测模型。该方法综合考虑了储层岩性、孔隙度以及泥质含量对渗透率的影响,经过在秘鲁B油田中应用,取得了良好的地质效果,其渗透率预测精度得到了较大提高,为后期油田开发调整方案的制订奠定了良好的地质基础。To solve the problem of great deviations about the forecasted perrneablity calculated by the normal model of permeability prediction, which cannot be satisfied with the requirements of reservoir numerical simulation in medium- and later-period of oilfield exploration, after analyzing the influential elements systematically about the reservoir permeability, which comprise reservoir lithology, porosity, shale volume etc, this paper advances that: at first, should identify the reservoir's lothology by adopting the well logging curves and the cross plot technology; then, establish different models of permeability prediction according to different reservoir types. This method considers the influences of reservoir lithology, porosity and shale volume on permeability synthetically. The applications to Peru B Oilfield gets fine gelological effects, and shows that the precisions of permeability prediction had been improved greatly, which gives fine foundations for stipulating for adjustable plans of oilfield exploration in later period.
分 类 号:P618.130.2[天文地球—矿床学]
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