3D Seismic Attribute Analysis for Structure and Stratigraphy Identification in Maui field, Taranaki Basin, New Zealand

The Kapuni group within the Taranaki Basin in New Zealand is a potential petroleum reservoir. The objective of the study includes building a sequential approach to identify different geological features and facies sequences within the stratigraphy. Moreover, the study aimed to visualize the targeted formations by interpreting and correlating the regional geological data, 3D seismic, and well data. The study follows a sequential workflow. First, seismic interpretation is performed targeting Kapuni group formations, mainly, the Mangahewa C-Sand and Kaimiro D-Sand. Synthetic seismogram and well tie are conducted for structural maps, horizon slices, isopach and velocity maps. Then, attribute analyses including RMS, dip and azimuth, and eigenstructure coherence are implemented to identify discontinuity, unconformity, lithology, and bright spots.  Algorithmic analysis is written in Python programming to generate and overlay the attributes to be displayed in 3D view. Overlaying of all attributes in a single 3D view significantly strengthens the summation of the outputs and supports the seismic interpretation. The attribute measurements are utilized to characterize the subsurface structure and depositional system such as fluvial dominated channels, point bars, and nearshore sandstones. The study follows a consecutive workflow that leads to several attribute maps for identifying the potential prospects and characterizing the targeted reservoir by using the available seismic and well data.