Seismic Intelligent Prediction of Thin Interbedded Sand Body--Taking Heidimiao Reservoir in X43 Block as an Example

Abstract

The Upper Cretaceous Nenjiang Formation in Songliao Basin is characterized by delta front subfacies, with a large area of thin channel sand and sheet sand, which is a typical problem of thin interbed identification. In this paper, based on the theoretical basis of seismic sedimentology and artificial intelligence algorithm, the application layer slicing technology and seismic data after 90 ° phase shift processing are used to carry out artificial intelligence prediction of thin interbedded sand bodies, which is in good agreement with wells.

Keywords

• artificial intelligence
• 90 °phase shift
• stratigraphic slice
• thin interbed