River Channel Sand Body Prediction by Integrating Well Log and Seismic
Attributes Analysis in Dense Well Pattern

doi:10. 3863/j. issn. 1674 – 5086. 2013. 04. 008

Abstract

Abstract:

As the development areas in east China have been in the phase of super-high water cut period，the distribution of
remaining oil gradually becomes increasingly complex. In order to figure out the reasons which control the distribution of
the remaining oil，the effective prediction of the distribution of interwell river channel sand body has become an urgent issue
in EOR（enhanced oil recovery）. Seismic microfacies mapping can be time consuming，even if only a basic overview of the
microfacies distribution is needed. In this paper，based on the high resolution well log and seismic data，a study of interwell
microfacies with the help of high resolution well log and 3-D seismic data in Sabei development area was carried out. Seismic
attributes were extracted on the premise of seismic horizon tracing in a dense well pattern and the seismic attributes on wells
were determined by inverse distance weighted mean method. The clustering procedure correlation analysis method，the linear
and multivariate statistical correlation analysis between seismic attributes and well log data were used to deduce relationships
between seismic data and reservoir physical information（including effective thickness，distribution of sedimentary facies）.
Finally，we demonstrate the possibility of using multi-attribute results to foster an understanding of depositionally oriented
trends in interwell river channel sand body distribution that have been observed in the buildups we got in the analysis. Then the
planar map of depositional microfacies distribution was mapped with the result of well-seismic data and it would lead us a new
understanding of how to find remaining oil.

Key words: integration of well logs and seismic data, seismic attributes, correlation analysis, river channel sand body, Daqing
Oilfield

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