River channel sand body prediction by means of integrating well log and seismic attribute analysis in dense well patterns: a case study of the eastern Beierxi Block in the Sabei Development Area of Daqing Oilfield, China

The developmental areas in eastern China have been in the super-high water cut phase for a significant amount of time, and as a result the distribution of remaining oil has gradually become more and more complex. The effective prediction of the distribution of interwell river channel sand bodies in dense well patterns has become an urgent issue in enhanced oil recovery. In this paper, based on the comprehensive analysis of high-resolution well logs and seismic data, a case study of predicting interwell channel sand bodies is carried out, with the assistance of high-resolution well logs and 3D seismic data from the Beierxi Block of the Sabei Development Area. After interpretation of the horizons and faults, the seismic attributes are extracted on the premise of seismic horizon tracing in a dense well pattern, and seismic attributes on wells are determined by means of the inverse distance-weighted mean method. The linear statistical correlation, multivariate statistical correlation, clustering procedure correlation, and 2D crossplot analyses of the RAVE module between the seismic attributes and well logs are used to deduce the relationships between seismic data and physical information of the reservoir (including effective thickness and distribution of sedimentary facie). Finally, the possibility of using multiattribute results to foster an understanding of depositional-oriented trends in interwell river channel sand body distribution is demonstrated. The planar depositional microfacies distribution is mapped with the results of the well-seismic data, which will assist in achieving a new understanding of how remaining oil may be discovered and will also assist in making further decisions in terms of hydrocarbon exploration and development.