Abstract: In order to overcome the obvious limitations of the depth and breadth of single-hole data in previous reservoir description, the authors propose a method of well-seismic joint geological modeling. Firstly, based on the horizon data and fault data of fine seismic interpretation and combined with logging data,a structural model is established. Then the probability of the seismic inversion body is used to control the sedimentary microfacies, and the vertical probability distribution curves of each microfacies are classified and statistically analyzed. Further,based on the analysis of the variogram data, a sedimentary facies model is established through algorithm simulation of spatial distribution of microfacies. Finally, the reservoir attribute model is established by using facies control technology and geostatistical theory to analyze the characteristics of parameter regionalized variables. The verification results in the B1DD block of Salto oilfield in Daqing show that a large number of small faults are found through application of seismic data, the breakpoint combination rate is increased by 15%, and the prediction coincidence rate of sandstones over 2 m reaches more than 90%. The prediction accuracy of faults and sandstones between wells is improved, and the accuracy of geological models, especially the models between wells, is also improved through the application of this joint modeling method.

Key words: dense well network, joint seismic modeling, fault interpretation, variogram, Saertu oilfield