--> Seismic Characterisation of Permian Gharif Clastic Reservoirs in Oman
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Previous HitSeismicNext Hit Characterisation of Permian Gharif Clastic Reservoirs in Oman

By

Zulkifli Haji-Ahmad1, Glenn Williams1, Edwin Quadt2

(1) Petroleum Development Oman llc, Muscat, Oman (2) Petroleum Development Oman llc,

 The Permian Gharif clastic reservoirs represent one of the Oman’s oldest producing hydrocarbon reservoirs with significant remaining upside hydrocarbon potential (more than 20% of the total scope volumes) locked in low-relief difficult stratigraphic traps. The application of Previous HitseismicNext Hit quantitative interpretation techniques plays a key role in helping to realise this potential. The delivery of high- fidelity Previous HitseismicNext Hit data through modern Previous HitseismicNext Hit acquisition and processing techniques has aided the Gharif exploitation efforts.

The Gharif fluvial and shoreface sand reservoirs are characterised by large spatial variations in rock properties and a small sand/shale acoustic impedance contrast. Variations in the pore-fill fluids have small effects on the Previous HitseismicNext Hit signature which can be difficult to identify in the presence of lithology changes and Previous HitseismicNext Hit noise. Hence feasibility studies indicate that using acoustic and elastic impedances from Previous HitseismicNext Hit inversion to predict gross reservoir property distribution will not necessarily be successful.

Multi-Previous HitattributeNext Hit Previous HitseismicNext Hit analyses including neural-network techniques showed some success in predicting gross sand reservoir distribution and properties (e.g Sadad field) on good quality Previous HitseismicNext Hit data. The results show good correlation between Previous HitseismicNext Hit predictions and known depositional patterns (e.g channel geometry) observed at well control. This technique becomes more effective with the use of additional well data and has yielded benefits for field appraisal and development well drilling campaigns by reducing risk in choosing well locations.

By applying multi-Previous HitattributeNext Hit analyses to the Previous HitseismicNext Hit data, meaningful predictions of Gharif reservoir properties have been obtained for the first time. This has allowed Previous HitseismicTop data to play an important role in unlocking the untapped potential in the Gharif hydrocarbon play.