 
                Keywords: geostatistics, T7, fault seal, sensitivity, uncertainty
Abstract
                        A significant proportion of the world’s conventional petroleum reservoirs occur in
                        structural traps. Therefore, understanding the controls on structural geometry and fault seal
                        are crucial steps in modelling/predicting hydrocarbon accumulation. One of the principal
                        mechanisms by which faults are fluid-retaining is membrane seal; this is where smeared ‘clay
                        minerals’ form impermeable barriers along structural planes. The following study shows that
                        estimates of fault seal can be highly sensitive to the type of methods used to model the fault
                        rock properties. Three methods were employed: B-Spline; SGS and a combined SGS+MPS method. The
                        results suggest that, given the same structural model and well data, the pattern of fault seal
                        integrity along the fault plane can vary considerably depending on the method used. Furthermore,
                        stochastic methods (SGS and SGS+MPS) illustrate how uncertainty associated with the reservoir
                        attributes (fault rock properties) propagate through to the final fault seal model. Therefore,
                        uncertainties in fault seal estimates are fundamentally related to uncertainty in
                        the faulted rock properties. The use of stochastic methods also helped illustrate the point that
                        fault seal and reservoir properties are ‘coupled’ in an inverse sense so that fault seal will
                        improve at the expense of reservoir quality.
 
                Keywords: T7, fault seal, Allan diagram, juxtaposition seals, shale gouge ratio, calibration
Abstract
                        A fault seal study has been performed on faults in the Oseberg Syd area, located within Block
                        30/9 of the Norwegian sector of the North Sea. The area is structurally complex and heavily
                        compartmentalised. Despite this, almost all of the individual fault blocks that have been
                        drilled have been found to contain oil and gas. This study attempts to achieve a better
                        understanding of reservoir separation, fault linkage and the likelihood for seal along
                        individual faults via detailed 3D structural modelling and fault seal analysis on 16
                        block-bounding faults using a commercial G&G software package (T7). The results (most strikingly
                        illustrated by two end members: a sealing fault and a non-sealing fault) suggest that SGR values
                        below or close to 15% correspond to no seal; SGR values between ca. 15-18% are consistent with
                        adjacent fault blocks having small pressure differentials (< 1 bar or 30 m difference in OWC)
                        and SGR values of>18% correspond to significant seal (8 bar pressure difference or up to 240 m
                        difference in OWC). This SGR calibration was found to be consistent with observed fluid contacts
                        and pressure data in all the Oseberg Syd wells. Finally, the SGR distributions for faults
                        lacking sufficient well control points, were used to predict likely seal capacities and
                        therefore constrain the occurrence of hydrocarbons in undrilled compartments.
                    
 
                Keywords: Fault seal, shale gouge ratio, capillary seal, T7
Abstract
                        This study investigates the difference in seal/leakage mechanisms across the A-Central Fault, a
                        major trap bounding fault located in the westerly dipping fault block of the Visund Field, Brent
                        Province, North Sea. The Shale Gouge Ratio (SGR) algorithm is used to predict fault-zone
                        composition, using subsurface mapping and petrophysical data. These data are then used to model
                        threshold capillary pressure (Pc) and from this derive an estimate of maximum possible
                        hydrocarbon column height. Modelling suggests that the self-juxtaposed reservoirs are likely to
                        have poorer sealing potential and therefore across-fault leakage can occur in these regions.
                        However, the Brent-Statfjord juxtapositions are predicted to have higher SGR, and subsequently,
                        higher Pc and hydrocarbon column heights (predicted oil: 25-250 m or gas column: 15-150 m).
                        Observed data confirm these suppositions.