DocumentCode :
3432483
Title :
A new study on the integrating of random walk process and multiple point geostatistics to model the fluvial reservoir
Author :
Yin Yanshu ; Ding Hui ; Shi Shuyuan
Author_Institution :
Sch. of Geosci., Yangtze Univ., Jingzhou, China
fYear :
2011
fDate :
3-5 Aug. 2011
Firstpage :
348
Lastpage :
350
Abstract :
The multiple point geostatistics can not reproduce the continuous shape of the channel due to the limitation of the algorithm with random draw of the simulated value. A new method is proposed which integrates the random walk process with multiple point geostatistics. First the random walk process produces the channel main streamline, then the draw of simulated value in multiple point geostatistics is conducted by the streamline. The method solves the continuities problem in channel. The real model is constructed with both the new method and only the multiple point geostatistics and the results show the new method can reproduce the continuous sinuous channel. A cross-validation is implemented and the result is also well, which proves the new method is robust and can be put into real reservoir modeling.
Keywords :
geophysical image processing; hydrocarbon reservoirs; random processes; statistical analysis; channel main streamline; continuous sinuous channel; fluvial reservoir model; multiple point geostatistics; random walk process; Data models; Geology; Mathematical model; Reservoirs; Rivers; Shape; Statistical analysis; fluvial reservoir; integrating modeling; multiple point geostatistics; random walk process;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Education (ICCSE), 2011 6th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-9717-1
Type :
conf
DOI :
10.1109/ICCSE.2011.6028651
Filename :
6028651
Link To Document :
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