The Optimal Selecting Technique on Well Logging Items and its Application to Identify Complex Lithology Profile

Abstract:

Finding out the parameters with strong reflecting ability to construct recognition function can improve effectively identifying precision on complicatesets of geophysics data. Based on building the evenness parameter among individuals in one set and distance parameter between two sets, we perform optimal choice on well logging items of four lithology sets named as general sedimentary rock set, volcano-clastic rock set, volcano-clastic sedimentary rock set, lava set in Hailaer Base. By using optimal selected items into model clustering technique, the precision of the lithology identification is more than 85%.

• Periodical: Advanced Materials Research (Volumes 652-654)
• Pages: 2508-2514
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.652-654.2508
• Online since: January 2013
• Authors: Mei Ling Zhang, Lei Feng, Jianhua Lin, Ke Zeng
• Keywords: Complex Lithology Identification, Conventional Well Logging Item, Hailaer Basin, Optimal Selection Technology, Parameter of Distance, Parameter of Evenness

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