西南石油大学学报(自然科学版)

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Lithology Recognition with Well Logs in Complex Lithologic Low
Permeability Reservoirs in Ta′nan Depression

Zhang Xianguo1*, Zhang Tao2, Lin Chengyan1, Yu Jingfeng3   

  1. 1. School of Geosciences,China University of Petroleum(Huadong),Qingdao,Shangdong,266580,China
    2. College of Earth Science and Engineering,Shandong University of Science and Technology,Qingdao,Shangdong,266590,China
    3. Exploration and Development Research Institute,Xinjiang Oilfield Company,CNPC,Karamay,Xinjiang 834000,China
  • Online:2015-02-01 Published:2015-02-01

Abstract:

Lithology recognition is the key geological problem in the exploitation of complex lithology low permeability
reservoir. This study takes Cretaceous in Ta′nan Depression as an example to explore well logging lithology recognition method
of complex lithology reservoir. Normal terrigenous clastic debris and volcanic debris deposited together in Cretaceous in Ta′nan
Depression. Tuffaceous glutenite,tuffaceous sandstone,sedimentary tuff,volcanic tuff,sandstone,conglomerate and mudstone
deposited in Tongbomiao Formation in Cretaceous. It has a very complex lithology and bad petrophysics,typical of low
lithology- electric property contrast. Based on the study of well logging characteristics among strata of different lithologies,
four types of well logs are chosen in comprehensive lithology interpretation. Fisher discriminant analysis is used to diminish
well log differences of the same type of strata and magnify well log differences of different type of strata. Discriminant functions
for the seven lithology types of the study area are built to realize well log lithology recognition of wells without drilling cores.
The lithology recognition validity is as high as 98.1%. The lithology recognition method built in this study resolves the problem
of lithology recognition with well logs in complex lithology low permeability reservoirs and provides technical support for
reservoir development.

Key words: Fisher discriminant analysis, complex lithology, low permeability reservoir, lithology recognition, well logging