FENG Lei, LI Guang-ming. Application of multi-attribute fuzzy clustering on study of sedimentary facies of Liaohe beach area[J]. Progress in Geophysics, 2012, 27(6): 2622-2630, doi: 10.6038/j.issn.1004-2903.2012.06.041
河南理工大学 资源环境学院, 焦作 454000
Application of multi-attribute fuzzy clustering on study of sedimentary facies of Liaohe beach area
FENG Lei, LI Guang-ming*
School of Resources and Environments, Henan Polytechnic University, Jiaozuo 454000, China
As the complexity of geological condition and limitation of exploration data in the beach area of Liaohe Basin, it make sedimentary facies change fast and provenance distribution unclearly in this region. It seriously affected Liaohe oil field on the understanding and evaluation of exploration targets. According to the problem of few and uneven distribution drilling wells in the study area, this paper propose automatic recognizing technique of seismic facies using multi-attribute fuzzy clustering to research sedimentary facies. The technique use optimization methods of cross plot and correlation coefficient to select the most sensitive seismic attributes of depositional sand body, combine with fuzzy clustering method to process the multiple optimization seismic attributes. Thus the same seismic attribute response of depositional body were clustered into one group. Through integrating macro and micro characterization of core and combining logging, analysis assay and other data, this paper thoroughly analyse sedimentary facies of the Eogene Shahejie formation in the western beach area of Liaohe basin.