Application of Multi-attribute fusion Technology in Channel Sand Body Recognition and Boundary Characterization : A Case Study of the Gangzhong Oil Field in Bohai Bay Basin

Fan delta is an important reservoir for hydrocarbon accumulation.The channel sand bodies of fan-delta front facies are narrow , and the lithologic assemblage changes quickly in space and is sensitive to water depth changes. It is a key and challenging task to accurately identify and characterize the channel with seismic data under the condition of few Wells. In this study, we selected the fan delta deposits of the Shahejie Formation in the Gangzhong area of the Bohai Bay Basin, China as an example to explore the method to accurately characterize the channel in the fan delta system by using seismic multi-attribute fusion technology.Six types of thirty-eight seismic attributes reflecting different geological information are extracted for river channel identification in the target area, and the most sensitive attributes to geological conditions are selected in each class of attributes. The physical meaning of various attributes is analyzed to identify the differences between different river structures. The multi-attribute clustering analysis based on FCM algorithm is used to reduce data dimension and reduce redundancy. Three seismic attributes that reflect the boundaries of geological bodies and lithological characteristics are selected for RGB fusion to highlight the overall characteristics of river distribution in this area, and enhance the characterization of the boundaries of channel sand body. It provides practical value for the next favorable target prediction of channel sand body.