Title :
Geostatistical Three-Dimentional Modeling of Terminal Fan: An Example from the Upper Second Member of Shahejie Formation in the Eastern Area of the Pucheng Oilfield
Author :
Ma, Xueping ; Zhang, Jinliang ; Xu, Shujuan
Author_Institution :
Coll. of Marine Geo-Sci., Ocean Univ. of China, Qingdao
Abstract :
Clastic reservoir characterization typically starts with the modeling of the facies distribution and geometry. The architecture of the reservoir, governed by the facies geometry, is a major source of heterogeneity in such clastic systems. The use of geostatistiscal tools for modeling reservoir heterogeneities and assessing uncertainty in reservoir forecasting has increased significantly since the 1990s. This paper presents geostatistical tools for building numerical facies models of the 1sands, the upper second member of Shahejie formation in the western area of the pucheng oil field, which was deposited in a terminal fan system. Three major depositional microfacies are identified consisting of distributary channel, proximal overbank and distal overbank. facies modeling has been approached in a hierarchical fashion, using the Schlumberger PETREL system.
Keywords :
computer graphics; geophysical techniques; geophysics computing; hydrocarbon reservoirs; Pucheng oilfield; Schlumberger PETREL system; Shahejie formation; clastic systems; depositional microfacies; distal overbank; distributary channel; facies distribution; facies geometry; facies modeling; geostatistical 3D modeling; geostatistiscal tools; numerical facies model; proximal overbank; reservoir characterization; reservoir forecasting; terminal fan system; Belts; Educational technology; Geology; Geometry; Petroleum; Production; Reservoirs; Sediments; Solid modeling; Uncertainty; Pucheng Oilfield; computer modelling; sequential indicator simulation; terminal fan;
Conference_Titel :
Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3563-0
DOI :
10.1109/ETTandGRS.2008.21