Seismic interpreters frequently use seismic geometric attributes such as coherence, dip, curvature, and aberrancy for defining geological features, including faults, channels, angular unconformities, etc. Some of the commonly used coherence attributes, e. g. cross-correlation or energy ratio similarity are sensitive to only waveform shape changes, whereas the dip, curvature, aberrancy attributes are based on changes in reflector dips. There is another category of seismic attributes, which includes attributes that are sensitive to amplitude values. Root mean square amplitude is one of the better-known amplitude-based attributes, whereas coherent energy, Sobel-filter similarity, normalized amplitude gradients, and amplitude curvature are amongst lesser-known amplitude-based attributes. We compute not-so-common amplitude-based attributes on the Penobscot seismic survey from the Nova Scotia continental shelf consisting of the east coast of Canada, to bring out their interpretative value. We analyze seismic attributes at the level of the top of the Wyandot Formation that exhibits different geological features, including a synthetic transfer zone with two primary faults and several secondary faults, polygonal faults associated with differential compaction, as well as fixtures related to basement related faults. The application of the amplitude-based seismic attributes defines such features accurately. We take these applications forward by describing a situation where some geological features do not display any bending of reflectors, but only exhibit changes in amplitude. One of such examples is the Cretaceous Cree Sand channels, present in the same 3D seismic survey used for the previous applications. We compute amplitude curvature attributes and identify the channels, whereas these channels are not visible on the structural curvature display. In both the applications, we observe that appropriate corendering not-so-common amplitude based seismic attributes leads to convincing displays, that can be of immense aid in seismic interpretation and help define the different subsurface features with more clarity.