This paper presents a three-dimensional geological reservoir model created using stochastic simulation. The oil field presented is an East African oil field formed by a structural trap. Data analysis and transformatio...This paper presents a three-dimensional geological reservoir model created using stochastic simulation. The oil field presented is an East African oil field formed by a structural trap. Data analysis and transformations were conducted on the properties before simulation. The variogram was used to measure the spatial correlation of cell-based facies modeling, and porosity and permeability modeling. Two main lithologies were modelled using sequential indicator simulation, sand and shale. Sand had a percentage of 26.8% and shale of 73.2%. There was a clear property distribution trend of sand and shale from the southwest to the northeastern part of a reservoir. The distribution trend of the facies resembled the proposed depositional model of the reservoir. Simulations show that average porosity and permeability of the reservoir are about 20% and 1004 mD, respectively. Average water saturation was 64%. STOIIP volume of 689.42 MMbbls was calculated. The results of simulation showed that the south eastern part of the reservoir holds higher volumes of oil. In conclusion, the model gave a better geological understanding of the geology of the area and can be used for decision making about the future development of the reservoir, prediction performance and uncertainty analysis.展开更多
随着我国交直流混合系统规模的不断扩大,交直流混合系统可用输电能力(available transfer capability,ATC)的计算模型和方法的研究成为一个关键问题。电力系统是一个动态时变系统,存在大量的不确定性和随机性,考虑这些不确定性因素对AT...随着我国交直流混合系统规模的不断扩大,交直流混合系统可用输电能力(available transfer capability,ATC)的计算模型和方法的研究成为一个关键问题。电力系统是一个动态时变系统,存在大量的不确定性和随机性,考虑这些不确定性因素对ATC的影响是准确计算ATC的一个难点。文中提出了一种基于非序贯蒙特卡罗仿真的可用输电能力评估方法,综合考虑负荷变化、设备故障、直流系统控制方式变化和天气等不确定性因素的影响,并从充裕性方面定义一系列的概率指标进行ATC评估。采用Matlab7.1编写相关的计算程序,并用改进的IEEE 14节点系统进行算例分析。计算结果表明,文中所提方法正确有效,能给出更准确的ATC信息。展开更多
文摘This paper presents a three-dimensional geological reservoir model created using stochastic simulation. The oil field presented is an East African oil field formed by a structural trap. Data analysis and transformations were conducted on the properties before simulation. The variogram was used to measure the spatial correlation of cell-based facies modeling, and porosity and permeability modeling. Two main lithologies were modelled using sequential indicator simulation, sand and shale. Sand had a percentage of 26.8% and shale of 73.2%. There was a clear property distribution trend of sand and shale from the southwest to the northeastern part of a reservoir. The distribution trend of the facies resembled the proposed depositional model of the reservoir. Simulations show that average porosity and permeability of the reservoir are about 20% and 1004 mD, respectively. Average water saturation was 64%. STOIIP volume of 689.42 MMbbls was calculated. The results of simulation showed that the south eastern part of the reservoir holds higher volumes of oil. In conclusion, the model gave a better geological understanding of the geology of the area and can be used for decision making about the future development of the reservoir, prediction performance and uncertainty analysis.
文摘随着我国交直流混合系统规模的不断扩大,交直流混合系统可用输电能力(available transfer capability,ATC)的计算模型和方法的研究成为一个关键问题。电力系统是一个动态时变系统,存在大量的不确定性和随机性,考虑这些不确定性因素对ATC的影响是准确计算ATC的一个难点。文中提出了一种基于非序贯蒙特卡罗仿真的可用输电能力评估方法,综合考虑负荷变化、设备故障、直流系统控制方式变化和天气等不确定性因素的影响,并从充裕性方面定义一系列的概率指标进行ATC评估。采用Matlab7.1编写相关的计算程序,并用改进的IEEE 14节点系统进行算例分析。计算结果表明,文中所提方法正确有效,能给出更准确的ATC信息。
