I conducted an amplitude vs. offset (AVO) analysis on newly acquired 3D seismic reflection data to detect elevated pore fluid content and pore fluid pressure along the Costa Rica convergent margin to address dewatering processes of subduction zone sediments. These data provide the highest quality 3D seismic data acquired to date along a convergent margin for detailed analysis of geophysical properties along the plate boundary fault interface. In 2011, a 55 km by 11 km 3D seismic reflection survey was completed using the R/V Marcus G. Langseth offshore western Costa Rica at the convergent margin of the Cocos and Caribbean plates. We applied pre-stack Kirchhoff time migration to a subset of these data across the frontal prism where amplitude versus offset (AVO) attributes were extracted along the decollement. When pore fluid pressure, l , exceeds 0.7, the pressure at which Poisson’s ratio begins to approach that of water, the AVO response of a fluid-filled, clay-rich decollement requires a high Poisson’s ratio and an excessively low seismic P-wave and S-wave velocity. Acute wedge taper, undercompacted subducted hemipelagic and pelagic sediments, and a smooth decollement in the northwest half of the survey correspond with decollement AVO response of relatively high values of Poisson’s ratio. These findings suggest increased pore fluid content and vertical containment of near-lithostatic pore fluid pressures within the decollement. In contrast, increased wedge taper angles, thin hemipelagic and pelagic sediments, and a rugose decollement beneath the southeastern frontal prism produce an AVO response interpreted as due to lower pore fluid contents and pressures. We propose that large-offset subducting basement normal faults in this area, as close as 20 m from the decollement, induce vertical fractures within the decollement that allow for fluid expulsion into the frontal prism and lower fluid pressure. Lateral variability of overpressure within the decollement shear zone of subduction margins is important in understanding the evolution of frontal prism strain accumulation and seismogenic rupture. / text

Amplitude-versus-offset, AVO, approximations allow the estimation of various properties from pre-stack seismic gathers. Recently it has been suggested that fluid mobility is a controlling factor in pore pressure equalisation and can result in anomalous velocity dispersion in the seismic bandwidth. However, current approximations all assume an elastic subsurface and are unable to account for velocity dispersion. I have applied existing methodologies to a real dataset to qualitatively detect and interpret spectral amplitude anomalies. Three areas had AVO and spectral signature consistent with frequency-dependent AVO theory. The results suggest that it is feasible to measure such effects on real data in the presence of random noise. It would imply that the relaxation parameter, tau, is larger in the field than has been measured in water-saturated real and synthetic sandstones in the laboratory. I extended a two-term AVO approximation by accounting for velocity dispersion and showed how the resultant reflection coefficient becomes frequency-dependent. I then used this to measure P- and S-wave reflectivity dispersion using spectrally-balanced amplitudes. The inversion was able to quantify the affect of the P-wave velocity dispersion as an instantaneous effect on the reflection. NMO stretch was an issue at the far offsets and I limited myself to the near offsets and effectively measured only the P-wave reflectivity dispersion. I showed how the P-wave reflectivity dispersion signs depend on the AVO classification of the reflection whilst the magnitude depends on the crack density of my model. I showed how the effect of noise and thin-bed tuning can enter uncertainties into the interpretation of spectral anomalies. Whilst it is possible to detect frequency-dependent AVO signatures on pre-stack gathers, the interpretation remains non-unique. I have quantitatively measured a new physical property, reflectivity dispersion, from pre-stack seismic data. I have presented a method of detecting and measuring velocity dispersion in pre-stack gathers but there remain ambiguities in the interpretation of such results. The approach incorporates spectrally decomposed data in an extended AVO inversion scheme. Future work should investigate the application of the methodology to a real seismic dataset.

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Magister Scientiae - MSc / Pressure drop within a field can be attributed to several factors. Pressure drop occurs when fractional forces cause resistance to flowing fluid through a porous medium. In this thesis, the sciences of petrophysics and rock physics were employed to develop understanding of the physical processes that occurs in reservoirs. This study focussed on the physical properties of rock and fluid in order to provide understanding of the system and the mechanism controlling its behaviour. The change in production capacity of wells E-M 1, 2, 3, 4&5 prompted further research to find out why the there will be pressure drop from the suits of wells and which well was contributing to the drop in production pressure. The E-M wells are located in the Bredasdorp Basin and the reservoirs have trapping mechanisms of stratigraphical and structural systems in a moderate to good quality turbidite channel sandstone. The basin is predominantly an elongated north-west and south-east inherited channel from the synrift sub basin and was open to relatively free marine circulation. By the southwest the basin is enclose by southern Outeniqua basin and the Indian oceans. Sedimentation into the Bredasdorp basin thus occurred predominantly down the axis of the basin with main input direction from the west. Five wells were studied E-M1, E-M2, E-M3, E-M4, and E-M5 to identify which well is susceptible to flow within this group. Setting criteria for discriminator the result generated four well as meeting the criteria except for E-M1. The failure of E-M1 reservoir well interval was in consonant with result showed by evaluation from the log, pressure and rock physics analyses for E-M1.iv Various methods in rock physics were used to identify sediments and their conditions and by applying inverse modelling (elastic impedance) the interval properties were better reflected. Also elastic impedance proved to be an economical and quicker method in describing the lithology and depositional environment in the absence of seismic trace.