Abstract. Significant uncertainties occur through varying
methodologies when interpreting faults using seismic data. These
uncertainties are carried through to the interpretation of how faults may
act as baffles or barriers, or increase fluid flow. How fault segments are
picked when interpreting structures, i.e. which seismic line
orientation, bin spacing and line spacing are specified, as well as what surface
generation algorithm is used, will dictate how rugose the surface is and
hence will impact any further interpretation such as fault seal or fault
growth models. We can observe that an optimum spacing for fault
interpretation for this case study is set at approximately 100 m, both for
accuracy of analysis but also for considering time invested. It appears that
any additional detail through interpretation with a line spacing
of ≤ 50 m adds complexity associated with sensitivities by the individual
interpreter. Further, the locations of all seismic-scale fault segmentation
identified on throw–distance plots using the finest line spacing are also
observed when 100 m line spacing is used. Hence, interpreting at a finer
scale may not necessarily improve the subsurface model and any related
analysis but in fact lead to the production of very rough surfaces, which
impacts any further fault analysis. Interpreting on spacing greater than 100 m
often leads to overly smoothed fault surfaces that miss details that could
be crucial, both for fault seal as well as for fault growth models. Uncertainty in seismic interpretation methodology will follow through to
fault seal analysis, specifically for analysis of whether in situ stresses combined
with increased pressure through CO2 injection will act to reactivate
the faults, leading to up-fault fluid flow. We have shown that changing
picking strategies alter the interpreted stability of the fault, where
picking with an increased line spacing has shown to increase the overall
fault stability. Picking strategy has shown to have a minor, although
potentially crucial, impact on the predicted shale gouge ratio.