Title :
Identifying oil-gas layer by minimum distance clustering
Author :
Heping Pan ; Zeyu Zhang
Author_Institution :
Inst. of Geophys. & Geomatics, China Univ. of Geosci., Wuhan, China
Abstract :
This paper introduces the basic principles and steps of identifying oil-gas layers and water layers by minimum distance clustering, and establishes distinguishable model to identify the properties of reservoir fluids by logging curves and reservoir parameters of oil-gas layers, oil-water layers, water layers and dry layers. Interpretation is done to the carboniferous´ practical logging data of Tahe in Xinjiang by minimum distance clustering, and the identification results are basically consistent with the actual results. The oil-gas layers are not missed, and good interpretation results are obtained.
Keywords :
hydrocarbon reservoirs; pattern clustering; production engineering computing; well logging; dry layers; logging curve; logging data; minimum distance clustering; oil-gas layer identification; oil-water layers; reservoir fluid property; reservoir parameter; Character recognition; Computers; Geophysics; Reservoirs; Water; improved method of minimum distance clustering; oil-gas layer; pattern recognition; well logging;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-180-9
DOI :
10.1109/FSKD.2011.6019824