Quantitative characterization of delta plainsubfacies reservoir sandbody static connectivity: Taking Fuyu oil layer of Zhaozhou oil field in Songliao basin as an example
ZHANG Yunfeng
LIU Zongbao
ZHAO Rongsheng
LIU Yunyan
Abstract:To investigate the problems of complex sand distribution and static connectivity evaluation of reservoirs in delta plain subfacies,the Fuyu reservoir in Zhaozhou oilfield of Songliao basin was selected as the target area.Based on the core,well logging and other data,the connectivity probability of reservoirs in the setting of delta plain subfacies was studied by adopting the sedimentary origin analogy method and the probability model.Results show that the sand body geometry,well-array spacing,provenance direction and net-to-gross ratio are the main controlling factors that affect reservoir static connectivity quantitative evaluation.The sand body connectivity is positively associated with the width-thickness ratio and net-to-gross ratio,negatively associated with the distance between wells and the sinusoidal value of deviation angle of provenance direction.The delta plain subfacies is mainly composed of three microfacies,including the single distributary channel,complex distributary and crevasse,among which the width-thickness ratios of single distributary channel and complex distributary channel are 15-30 and 45-60 respectively.For crevasse subfacies,the width-thickness ratio is 120,and the length-width ratio is 75.When the well-array spacing is 220 m,the sand body connection probability of F I 4 layer and F I 7 layer are 25% and 55%.The'waterfall area'range of net-to-gross ratio of the single distributary channel,complex distributary channel and crevasse are 25%-35%,20%-30% and 15%-20%.The above method was applied for drilling verification in the evaluation area,and the sand body coincidence rate was over 87.5%.
Keywords:static connectivity of reservoirquantitative evaluationinfluence factorFuyu oil layerSongliao basin
Publication Date:2017-01-01
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:9( 1314-1322 )
Journal of China University of Mining & Technology

Journal of China University of Mining & Technology

PKUISTICEI
ISSN:1000-1964
Year, Vol.(Issue):2017,46(6)