Olabode Oluwasanmi A, Egeonu Gerald I, Temiloluwa Ojo I, Tomiwa Oguntade, Oreofeoluwa Bamigboye
Department of Petroleum Engineering, Covenant University, P.M.B 1023 Ota Ogun State, Nigeria.
Data Brief. 2018 Jul 4;19:2205-2214. doi: 10.1016/j.dib.2018.06.115. eCollection 2018 Aug.
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 making decisions.
本文中的数据集与针对更广泛不确定性因素进行的普拉科特-伯曼（PB）实验设计（DOE）相关，这些不确定性因素包括：影响油环产能的油藏、运营和油藏结构参数。该设计基于二级PB-DOE，以创建油环模型，这些模型使用Eclipse软件开发成油藏模型，并在油气同时生产的最佳衰竭策略下进行配置。利用最小二乘法开发了模型的近似解，以预测石油产量。采用蒙特卡洛模拟方法对油环油藏的3个产量预测进行了估计。这将有助于创建各种概率性预测，可进一步用于决策。
