Integration of conventional logs, core and 3-D seismic with borehole images provide a reliable and decent approach to geological modeling in tight clastics deep gas reservoirs in Oman. The Studied field is of Cambrian-Ordovician age. The field structure is North-South elongated domal anticline associated with a salt pillow.
The main hydrocarbon bearing and producing reservoirs are predominantly of continental to marine environments in the deepest part: aeolian dominated formation (A) to sabkha dominated formation (B) in middle intervals and non-marine (coastal plain) to shallow marine (intertidal-subtidal) (C) sandstone members at the shallowest levels.
The seismic image quality at the reservoir levels are poor, mainly due to the weak acoustic impedance contrast between deep reservoirs and the overlaying shale, besides the presence of multiple noises further obscured the event, in addition to limited number of core intervals all over the field.
In order to refine the structural, depositional model and facies distribution for clastic tight gas deep reservoirs, a detailed integrated borehole resistivity images log interpretation with the available data was performed. Structural dip, structural features like faults locations and their strike and dip angles, sub seismic faults for field transmissibility, and compartments, natural fractures, sedimentological and facies analysis where core - logs comparison was done to improve the rock typing which later correlated to the petrophysical properties, are the major achievements from this study. The study has also analyzed the major accumulations and the paleo-current and paleo wind directions over the reservoirs units by predicting their paleo-drainage and sediments entry points. These results formed valuable input to the field geological modeling.
The exercise of tying the above results with seismic data was carried out with a very effective methodology for the generation and significant improvement of a new geological model to support further development and added new reserves in tight gas reservoirs.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.