【摘要】 由于辽河滩海地质条件复杂以及勘探资料的局限性,使得该地区存在沉积相变快,物源分布不清等问题,严重影响了辽河油田对勘探目标的认识和评价.本文针对研究区钻井少且分布不均等难题,提出采用多属性模糊聚类地震相自动划分技术进行沉积相的划分.该技术通过交会图、相关系数等优化方法选择出对沉积砂体最敏感的地震属性,再结合模糊聚类方法将优选出的多个地震属性进行聚类,使反映相同沉积体的地震属性聚为一类,形成地震相图.通过综合岩心宏观和微观特征描述,结合测井、录井和分析化验等资料,对辽河滩海西部地区古近系沙河街组的沉积相进行了细致地分析.更多还原

【Abstract】 As the complexity of geological condition and limitation of exploration data in the beach area of Liaohe Basin,it make sedimentary facies change fast and provenance distribution unclearly in this region.It seriously affected Liaohe oil field on the understanding and evaluation of exploration targets.According to the problem of few and uneven distribution drilling wells in the study area,this paper propose automatic recognizing technique of seismic facies using multi-attribute fuzzy clustering to research sedimentary facies.The technique use optimization methods of cross plot and correlation coefficient to select the most sensitive seismic attributes of depositional sand body,combine with fuzzy clustering method to process the multiple optimization seismic attributes.Thus the same seismic attribute response of depositional body were clustered into one group.Through integrating macro and micro characterization of core and combining logging,analysis assay and other data,this paper thoroughly analyse sedimentary facies of the Eogene Shahejie formation in the western beach area of Liaohe basin.更多还原