Taking the sandy conglomerate reservoirs of Denglouku and Yingcheng Formations in Xiaochengzi area, Wangfu Fault as an example, the logging lithology identification is studied in this paper. Based on the logging lithology data, various lithologic compositions of objective intervals are analyzed and the main lithology components of Denglouku and Yingcheng Formations are extracted firstly. The main components of Denglouku Formation are the sandy conglomerate, the sandstone and the shale and those of Yingcheng Formation are the conglomerate, the sandy conglomerate and the shale. Then the logging response characteristics are analyzed, the lithologic parameters of these two formations are extracted and it is shown that the sensitive parameters of Denglouku Formation are the natural gamma ray (GR), the neutron (CNL),the interval transit time (AC) and the resistivity (RT) and that the parameters of Yingcheng Formation are the GR, the density (DEN) and the CNL. Finally, the Fisher model of the lithology identification is established by using the SPSS software, and the application of the model to the reservoir lithology identification of five wells not included in the process of building the model shows that the discriminant accuracy rate reaches 86%, which indicates a high reliability of the method.
ZHANG Chong
,
ZHANG Zhansong
,
CHEN Yulong
,
XING Yanjuan
,
LI Chaowei
. Logging Lithology Identification of Tight Sandy Conglomerate and Its Application[J]. Science & Technology Review, 2014
, 32(25)
: 59
-62
.
DOI: 10.3981/j.issn.1000-7857.2014.25.010
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