The data sets in this article are related to a Placket Burman (PB)
design of experiment (DOE) made on a wider range of uncertainties such as: reservoir, operational and reservoir architecture
parameters that affect oil rim productivities. The design was based
on a 2 level PB-DOE to create oil rim models which were developed into reservoir models using the Eclipse software and configured under the best depletion strategy of concurrent oil and gas
production. Approximate solutions to the models was developed
to forecast oil production using the least square method. The
Monte-Carlo simulation approach was used in estimating 3 production forecasts for the oil rim reservoirs. This will help to create
a probabilistic variety of forecasts that can further be used in
Oluwasanmi, O (2019). Production forecast for niger delta oil rim synthetic reservoirs. Afribary.com: Retrieved November 21, 2019, from https://afribary.com/works/production-forecast-for-niger-delta-oil-rim-synthetic-reservoirs
Olabode, Oluwasanmi. "Production forecast for niger delta oil rim synthetic reservoirs" Afribary.com. Afribary.com, 15 Oct. 2019, https://afribary.com/works/production-forecast-for-niger-delta-oil-rim-synthetic-reservoirs . Accessed 21 Nov. 2019.
Olabode, Oluwasanmi. "Production forecast for niger delta oil rim synthetic reservoirs". Afribary.com, Afribary.com, 15 Oct. 2019. Web. 21 Nov. 2019. < https://afribary.com/works/production-forecast-for-niger-delta-oil-rim-synthetic-reservoirs >.
Olabode, Oluwasanmi. "Production forecast for niger delta oil rim synthetic reservoirs" Afribary.com (2019). Accessed November 21, 2019. https://afribary.com/works/production-forecast-for-niger-delta-oil-rim-synthetic-reservoirs