Ultradeep fractured-vuggy reservoir characteristic identification based on well data constrained seismic linear discriminant analysis

Abstract

A great number of high-quality fractured-vuggy reservoirs (FVRs) are buried in the ultradeep carbonate strata in the Tarim Basin, Western China. Drilling confirms that some FVRs with strong beaded reflections are partially or completely filled with solids, resulting in oil and gas exploration failures. In this paper, we propose a well data (the drilling information and the well-logging data) constrained seismic waveform component decomposition and reconstruction method for ultradeep FVR characteristic identification (WSFI). WSFI contains the well data (the drilling information and the well-logging data) constrained seismic waveform component linear discriminant analysis and reconstruction and seismic attribute (i.e., root-mean-square amplitude)-based FVR characteristic identification. A forward-modeling example indicates that WSFI can effectively identify the FVR characteristics. Field data example in the ZG block in the Tarim Basin demonstrates that WSFI can be widely used for FVR characteristic identification.