摘要
以精细三维地震资料为基础,应用相干数据体技术、TDQ(time-depth-quality)技术对二连盆地额仁淖尔凹陷N50井区阿尔善组二砂组进行了精细断层解释,并建立了精细的构造模型;利用神经网络技术对地震相进行了自动识别,精确划定了5种地震相带,再结合单井相分析,将5种地震相转化为沉积相,进而确定各沉积相的分布,指出扇三角洲前缘水下分流河道相为该区的有利沉积相带。
On the basis of fine 3-D seismic data,the paper used coherent data volume technique , TDQ (Time-Depth Quality) technique for fine fault in-terpretation of Second Sand Member of Aershan Formation in N-50 well zone of Erenaoer depres-sion , Erlian Basin and built up a fine structural model; using neural network technique for auto-matic identification of seismic facies ,accurate divi-sion of 5 seismic facies,and further using the anal-ysis of single well facies to transform these 5 seismic facies to depositional facies; then the distribu-tion of each depositional facies can be defined; fi-nally,the paper pointed out that the underwater distributary channel facies in frontal fan delta is a favorable depositional facies.
出处
《石油地球物理勘探》
EI
CSCD
北大核心
2003年第6期687-689,共3页
Oil Geophysical Prospecting
