Research of Cross-borehole Section Based on Seismic and Well-logging Data using the “AZERI” Software Package to Determine the Well-placement

Abstract

This paper is devoted to the study of a cross-borehole section based on seismic and well-logging data using the “AZERI” software package to determine the well-placement. The main objective was verification of the algorithm and the software on the currently active wells. Overall, the study was conducted on two wells, one of them is reference and the other is the projected well which enabled us to compare the two results. There are several approaches to determine the pay zone heterogeneity in cross-borehole section using the seismic data. Despite various applications, currently there is no application of the filtration properties determination methodology of pay zones in cross-borehole section based on seismic data. Completely different approach to the solution of this problem is considered in this paper. Especially the study of reservoir porosity and permeability of pay zone, as well as the prediction of the producibility of cross-borehole section based on seismic and welllogging data. Thus, the necessary knowledge about porosity and permeability of pay intervals and their producibility is obtained, i.e. the quantitative estimation of the parameters mentioned above is derived. As a result, the accuracy of the achieved results is closely linked to the exploration field’s seismic-geological conditions, depth and the level of seismic data processing as well as the level of similarity of two seismic traces that are picked near the reference and projected wells, not to mention the accuracy of the interpretation of log data. In conclusion, the production well placement determination was carried out by PANGEA Company of Moscow. The selected position of well No.1867 is matching well with the geological results of PANGEA. Therefore, “AZERI” software, constructed based on the algorithms developed by authors, shows that the future well placement risks for the deep drilling are significantly reduced.