Dataset on modelling a synthetic oil rim reservoirs for optimizing oil production during gas cap blow down strategy

Olabode, O.A. and Nnorom, E. C. and Ajagunna, Samuel and Awelewa, Kehinde and Umunna, Precious and Uzodinma, Odera (2022) Dataset on modelling a synthetic oil rim reservoirs for optimizing oil production during gas cap blow down strategy. Data in Brief. ISSN 2352-3409

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Abstract

Oil rim reservoirs with very large gas caps, strong aquifers, and pay thickness below 30 ft. pose oil production challenges to operators. With best operational practices, very high gas oil ratios are recorded at the initial onset of oil production, thus such reservoirs are subjected to a gas cap blow down leading to an ultimate loss in oil reserves. This loss is at- tributed to a rapid and drastic drop in pressure over the productive life of the reservoir. To maximize oil production, a simulation study is focused on initiating oil wells at dif- ferent time intervals and estimating oil recoveries at these points. It is believed that the gas cap would have been blown down in time to accommodate for substantial oil produc- tion. This study presents the reservoir data (from the Niger- Delta) that can be incorporated in a black oil reservoir simu- lator (Eclipse) coupled with best production and optimization strategies (water and gas injection) for maximum oil pro- duction during gas cap blow down. The data presented will provide a detailed process developing an oil rim synthetic model, support and enhance further studies in optimizing oil production in oil rims subjected to gas cap blow down, create a template for secondary and enhanced oil recovery processes.

Item Type:	Article
Uncontrolled Keywords:	Oil rim reservoirs Gas cap blow down Reservoir modelling
Subjects:	T Technology > T Technology (General) T Technology > TP Chemical technology
Divisions:	Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User:	nwokealisi
Date Deposited:	05 Oct 2023 08:40
Last Modified:	05 Oct 2023 08:40
URI:	http://eprints.covenantuniversity.edu.ng/id/eprint/17344

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