Intelligent real-time updating method and system for stratigraphic framework with geosteering-while-drilling

Abstract

The present disclosure belongs to the field of geological prospecting and particularly relates to an intelligent real-time updating method and system for a stratigraphic framework with geosteering-while-drilling, aiming to solve the problems of insufficient precision in position and dipping angle of a stratigraphic framework due to differences in parameters measured by different instruments for well logging and mud logging while drilling. The method of the present disclosure comprises: obtaining existing well data, and acquiring well logging data and images imaged while-drilling in real time; constructing an initial stratigraphic framework model, eliminating abnormal values, and conducting dimensionality reduction; and based on dimensionality reduction well logging data, conducting non-linear clustering through a density peak clustering method, obtaining a marker layer primary prediction result through a marker layer prediction model of a depth belief network and conducting correction, to obtain a corrected stratigraphic framework model and to adjust a drilling trajectory.