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