Research and application of 3D attribute fusion technology based on lithology probability analysis

To address the challenges of seismic attribute selection and the low accuracy of characterizing single-phase river channels with a single seismic attribute, a 3D seismic attribute fusion technology based on lithology probability curve analysis has been developed. This method uses lithology probability curve analysis to optimally select amplitude attributes that highlight the distribution characteristics of sedimentary sand bodies and coherence attributes that emphasize variations in sand body boundaries. These attributes are then fused to form a new attribute volume, effectively solving the issues of seismic attribute selection and the low precision of single attributes in characterizing river channels. The approach enables precise identification of single-phase river channels and improves the sand body prediction accuracy in the study area by 20.2% points. The results have been applied to guide the optimization of 112 well interventions, resulting in an accumulated oil increase of 10,861 tons. This demonstrates favorable outcomes and provides a geological foundation for the accurate exploitation of residual oil in high-water-cut late-stage reservoirs.