The Application of Image Logging in the Identification of Microbialite Facies in Dengying Formation, Sichuan Basin

doi:10.11885/j.issn.1674-5086.2019.04.14.01

Abstract

Abstract: The lithology identification is the basis of study of the sedimentary facies and reservoirs, and it is very important to identify well logging lithofacies for uncored wells. The carbonate of Dengying Formation of Sinian system in Sichuan Basin, has undergone strong digenesis that led to the low discrimination for log response characteristics of different lithofacie, poses great challenge for conventional logs to identify carbonate lithofacies. In order to establish an effective identification method of log facies, on the basis of previous classification, the wells with complete core, thin section and logging data of the fourth Member of Dengying Formation in Gaoshiti-Moxi Area were selected as key wells. We conduct fine description of cores, extract the different typical imaging features of lithofacies, and establish the transformation model of the image logging facies and lithofacies. Finally, we use multi-point geostatistics method to carry out the whole wellbole imaging process. We extract image features, combine the established lithofacies identification model to carry out the lithofacies identification, then apply the method sto other uncored wells in the study area. The results show that the lithofacies identification method based on image logging has a high identification rate, which can provide a strong support for the subsequent studies of sedimentary microfacies and reservoir development mechanism.

Key words: Sichuan Basin, Dengying Formation, microbial dolomite, image logging facies, lithofacies identification

CLC Number:

TE122

TIAN Han, ZHANG Jianyong, LI Chang, LI Wenzheng, YAO Qianying. The Application of Image Logging in the Identification of Microbialite Facies in Dengying Formation, Sichuan Basin[J]. 西南石油大学学报(自然科学版), 2020, 42(5): 75-85.

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