The purpose of this paper is to show the application of the colour-processing technique to enhance the resolution of seismic data for more detailed structural interpretation. Colour-processing is a post-migration, post-processing technique that can be applied in an interpretational platform to produce a structurally enhanced volume using the principles of colour theory. Unlike simple colour blending techniques, which overlay different datasets with the different colour channels (most commonly red-green-blue), the colour processing technique produces an enhanced volume that can be exported as a seismic volume (i.e. a segy file). Other methods used to assess the colour-processing results described in the paper include the application of seismic attributes, seismic sequence stratigraphy, and analysis of microimager. The analysis concluded that the colour-processing technique is a valuable tool for the structural interpretation of seismic data, as exemplified by land seismic data from the central part of the Carpathian Foreland. The study revealed that the technique is suited for structural analysis, but it fails to enhance the visibility of sedimentary features on seismic data and does not preserve relative amplitudes needed for reservoir prospecting. The results suggest that the proposed methods can be used to limit uncertainties and build more precise geological models, which can be applied in many prospecting applications, such as carbon capture and storage, hydrocarbon prospecting and storage, geothermal systems, and others.