Reservoir characterization and prospect identification in Onka field, offshore, Niger Delta

Abstract

The study is focused on the use of 3D seismic, well logs and checkchots data to delineate, evaluate and characterize reservoirs relating to their hydrocarbon potentials. Four localized wells were available for this study. The study location is Onka field, offshore, Niger Delta. Well correlation and detailed petrophysical analysis was carried out along all the wells. Three reservoirs were discerned within the agbada formation. Among these delineated reservoirs, reservoir 2 occurs to be the most prolific with average gross thickness of about 49ft, net pay thickness of about 43ft, average net to gross thickness of approximately 71%, a good porosity of 20% and hydrocarbon saturation of 81% which is more blatant in well DESLA 1ST2. Seismic interpretation shows the presence of 26 faults. The faulting system corresponds with the geology of the Niger Delta. From the generated structural surface map of Reservoir 2, Fault F7 at the flank of the crest forms an antithetic fault type with both F7A and F7B. This also aligns with the mundane trapping system of the study area. It is recommended that more wells should be drilled at strategic locations to provide more data that will contribute to quality reservoir models.

Spatial Variation of Reservoir Properties in Onshore Dove Field of the Niger Delta Region, Nigeria

“…Porosity ModelExamination of the porosity model for the DOVE oil field revealed a Porosity range of 24% to 33% signifying possible hydrocarbon pore volume with an all-round interconnected pore spaces, which allow high reservoir deliverability (figure 12). This result agrees with works of other authors n the Niger Delta such asAsubiojo and Okunuwadje 2016, Saadu and Nwankwo 2018, Kafisanwo et al 2018, Nwaezeapu et al 2019, and Orji et al 2019 …”

Impacts of Neotectonics and Salt Diaper on the Nile Fan Deposit, Eastern Mediterranean

“…This explosive growth has been dominated by exploration for Pliocene age reservoirs shallower than 2,000 m below mud-line. This basin has sediments deposits that become the building blocks for petroleum systems [21,22].…”

Characterization and geostatistical modeling of reservoirs in ‘Falad’ field, Niger Delta, Nigeria

“…Seismic data are also important in estimating the structure of reservoir bodies (Chapin et al 2002;Li et al 2003;Liu et al 2005). Seismic data are commonly integrated with well log data when exploring for hydrocarbon exploration (Kafisanwo et al 2018). Well log data are utilized to infer petrophysical information such as lithology, the volume of shale, net to gross ratio (NTG), permeability, porosity, water saturation, among others which provide a basis for formation evaluation (Ebong et al 2019).…”

“…Subsurface imaging through seismic method reveals comprehensive information (laterally and vertically) about reservoirs that well log data would not made available (i.e., they have been used for estimating the spatial distribution of rock properties) (Mukerji 2001;Mukerji et al 2004). The integration of results from seismic data and well log analysis are used to determine the commerciality of a known hydrocarbon prospect which instigate the initial field development plan through characterization (Hepler et al 1998;Opara 2010;Kafisanwo et al 2018). The spatial distribution of reservoir properties play an important role in oil reservoir management and choosing the best method is necessary.…”