| Autor: |
Akintokewa, Olajumoke Comfort, Fadiya, Suyi Lawrence, Falebita, Dele Ebenezer |
| Předmět: |
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| Zdroj: |
Arabian Journal of Geosciences; Jul2023, Vol. 16 Issue 7, p1-14, 14p |
| Abstrakt: |
A good understanding of reservoir's quality is crucial to hydrocarbon recovery optimization, especially in brown fields. The FORT Field is a brown field in Niger Delta with most of its wells clustered around a region. This study was therefore carried out to understand the reservoir quality distribution away from well locations, for a better recovery plan. The dataset comprising of well log, biostratigraphic and seismic data was employed for the study. A standard interpretation technique using Petrel software was adopted. Depositional sequences were identified and dated using the well logs and biostratigraphic data. Reservoirs within the sequences were identified, and the depositional environment of the reservoirs was inferred from gamma ray log motifs. Porosity, permeability and water saturation were calculated using established petrophysical log relationships. The reservoir models were generated using sequential indicator and sequential Gaussian simulation algorithms. The quality of the reservoirs was assessed based on the generated models. The result of the study showed that the FORT Field is underlain by three depositional sequences, bounded by 10.60 Ma, 10.35 Ma, 8.60 Ma and 6.70 Ma sequence boundaries. Three hydrocarbon reservoirs were identified in the lowstand systems tracts of the two shallower sequences. The environment of deposition of the sediments was inferred to range from marginal marine to shallow marine environment. The identified reservoirs were interpreted to be composed of shoreface, tidal channel and distributary channel sands. The structural framework of the study area is made up of seven major faults which run in the east–west direction and are connected to the reservoirs. The result of the petrophysical models showed porosity range of 0.1–0.35, permeability range of 300–3000 mD and water saturation range of 0.09–0.99. The study concluded that the reservoirs in FORT Field have moderate to good reservoir quality. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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