DocumentCode :
2603786
Title :
Application of Stochastic Modeling Technology to the Sha26 Block in Shanian Oilfield
Author :
Ding, Fang ; Zhang, Jinliang ; Wang, Jinkai
Author_Institution :
Coll. of Resources Sci., Beijing Normal Univ., Beijing, China
fYear :
2010
fDate :
17-18 April 2010
Firstpage :
47
Lastpage :
50
Abstract :
Shanian oilfield is constituted by a number of complex fault-blocks, after nearly 10 years of waterflooding development, the relation between oil and water underground reservoirs is complex. In this case, it is difficult to predict accurately the distribution of inter-well reservoir parameters and the rich region of residual oil. Thus it is an emphasis to build a fine reservoir model, as available knowledge is limited about reservoir geometries, variogram based on stochastic modeling can be an appropriate method, where it is possible to acknowledge trends, reservoir direction continuity, facies fractions and heterogeneity of physical property. This paper puts the seismic, well logging, geological and develop dynamic research results all together, and focus a variety of stochastic modeling methods to achieve facies-controlled property modeling, ensuring the three-dimensional quantitative geological model reasonable.
Keywords :
geology; solid modelling; stochastic processes; 3D quantitative geological model; Sha26 block; Shanian oilfield; inter-well reservoir parameters; reservoir geometries; stochastic modeling technology; variogram; waterflooding development; Anisotropic magnetoresistance; Geologic measurements; Geology; Geometry; Hydrocarbon reservoirs; Petroleum; Solid modeling; Stochastic processes; Water resources; Wearable computers; facies fractions; facies-controlled property modeling; microfacies model; stochastic modeling; variogram;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wearable Computing Systems (APWCS), 2010 Asia-Pacific Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-6467-8
Electronic_ISBN :
978-1-4244-6468-5
Type :
conf
DOI :
10.1109/APWCS.2010.19
Filename :
5481106
Link To Document :
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