ZOU Yi, LIU Chengchuan, DENG Meizhou, et al. “Four-properties” relationship and application in the fifth member of Xujiahe Formation in Ziyang-Dongfengchang Block of central Sichuan[J]. Petroleum Reservoir Evaluation and Development, 2024, 14(3): 484-491.
DOI:
ZOU Yi, LIU Chengchuan, DENG Meizhou, et al. “Four-properties” relationship and application in the fifth member of Xujiahe Formation in Ziyang-Dongfengchang Block of central Sichuan[J]. Petroleum Reservoir Evaluation and Development, 2024, 14(3): 484-491. DOI: 10.13809/j.cnki.cn32-1825/te.2024.03.018.
“Four-properties” relationship and application in the fifth member of Xujiahe Formation in Ziyang-Dongfengchang Block of central Sichuan
The fifth member of Xujiahe Formation(Xu-5 member)in Ziyang-Dongfengchang Block of central Sichuan is characterized by low porosity
low permeability
and strong heterogeneity. This study aims to develop a reliable logging interpretation model and to establish the lower limits of effective reservoirs using well logging
core
and gas testing data. The research focuses on the correlation among four key properties: lithology
physical properties
electrical properties
and gas content following core homing and log normalization. A significant correlation exists between the lithology
physical properties
electrical properties
and gas content. Gamma ray readings increase as particle size decreases
aiding in sediment characterization. Resistivity curves effectively identify calcium-bearing sandstones. A strong positive correlation exists between sonic differential time and porosity. Gas content is positively correlated with physical properties
indicating richer gas zones correlate with specific log signatures. Based on these relationships
a comprehensive interpretation model for porosity
permeability
and water saturation was established
alongside criteria for reservoir identification. The application of these findings in production scenarios demonstrates consistency between reservoir logging
gas testing
and experimental results with the established four-properties relationship diagram. The calculated physical property parameters from the logging interpretation model align well with core test outcomes
and gas production profile testing corroborates the reservoir identification criteria. This study provides critical technical support for designing testing schemes and optimizing resource extraction.