Prediction of high-quality tight sandstone reservoirs based on the coupling of sedimentary microfacies,lithofacies,and diagenetic facies:a case study of the Oligocene Huagang Formation in Xihu sag,East China Sea shelf basin
|更新时间:2026-02-02
|
Prediction of high-quality tight sandstone reservoirs based on the coupling of sedimentary microfacies,lithofacies,and diagenetic facies:a case study of the Oligocene Huagang Formation in Xihu sag,East China Sea shelf basin
周雪松, 赵晓明, 葛家旺, et al. Prediction of high-quality tight sandstone reservoirs based on the coupling of sedimentary microfacies,lithofacies,and diagenetic facies:a case study of the Oligocene Huagang Formation in Xihu sag,East China Sea shelf basin[J]. ACTA PETROLEI SINICA, 2025, 46(12): 2259-2272.
周雪松, 赵晓明, 葛家旺, et al. Prediction of high-quality tight sandstone reservoirs based on the coupling of sedimentary microfacies,lithofacies,and diagenetic facies:a case study of the Oligocene Huagang Formation in Xihu sag,East China Sea shelf basin[J]. ACTA PETROLEI SINICA, 2025, 46(12): 2259-2272. DOI: 10.7623/syxb202512004.
Prediction of high-quality tight sandstone reservoirs based on the coupling of sedimentary microfacies,lithofacies,and diagenetic facies:a case study of the Oligocene Huagang Formation in Xihu sag,East China Sea shelf basin
tight sandstone reservoirs are characterized by low porosity
low permeability
and extreme heterogeneity. Accurately identifying and predicting high-quality reservoirs is a critical foundation for the efficient development of tight gas. Existing methods for predicting high-quality reservoirs
which relies on geological theoretical models and geophysical theories
fail to meet the degrees of accuracy
effectiveness
and applicability required for hydrocarbon exploration and development. This paper is a case study of the Oligocene Huagang Formation tight sandstone reservoir in Block H of Xihu sag
East China Sea shelf basin. Using core
logging
and seismic data
a seismic prediction method based on the coupling of sedimentary microfacies
lithofacies
and diagenetic facies is proposed for high-quality reservoirs. This method achieves accurate prediction of high-quality tight sandstone reservoirs. The research results show as follows. (1)The combined characterization of core
logging
and seismic data clearly defines the distribution of sedimentary microfacies. The integration of logging cross-plot analysis and stepwise discriminant analysis significantly enhances the accuracy of lithology identification and interpretation. The high-quality reservoirs of Huagang Formation in Block H of Xihu sag develop in the medium sandstone facies belt of the underwater distributary channel. (2)The diagenetic facies are quantitatively classified based on the flow zonation index
and machine learning is applied to achieve intelligent logging interpretation and macroscopic prediction of diagenetic facies. Under the dual constraints of sedimentary microfacies and lithofacies
high-quality reservoirs are precisely located. (3)The three-phase coupling model indicates that high-quality reservoirs are distributed in the overlapping zone of the underwater distributary channel sedimentary microfacies
medium sandstone lithofacies
and strong dissolution diagenetic facies. The analysis effectively reduces ambiguity and significantly improves prediction accuracy
providing a new approach for predicting high-quality tight sandstone reservoirs.
MA Pengjie,LIN Chengyan,ZHANG Shiqi,et al.Diagenetic history and reservoir quality of tight sandstones:a case study from Shiqianfeng sandstones in Upper Permian of Dongpu depression,Bohai Bay Basin,eastern China[J].Marine and Petroleum Geology,2018,89:280-299.
ZHAO Xiaoming,LIU Li,HU Jialiang,et al.The tectonic fracture modeling of an ultra-low permeability sandstone reservoir based on an outcrop analogy:a case study in the Wangyao oilfield of Ordos Basin,China[J].Petroleum Science,2014,11(3):363-375.
GE Jiawang,ZHAO Xiaoming,TAN Mingxuan,et al.Sequence stratigraphy and depositional evolution of the north-eastern shelf (33.9-10.5 Ma)of the Pearl River Mouth Basin,South China Sea[J].Marine and Petroleum Geology,2022,141:105697.
ZHAO Xiaoming,QI Kun,LIU Li,et al.Quantitative characterization and controlling factor analysis of the morphology of Bukuma-minor channel on southern Niger delta slope[J].Interpretation,2018,6(2):SD57-SD69.
ZHAQ Qian,ZHU Hongtao,ZHOU Xinhuai,et al.Continental margin sediment dispersal under geomorphic control in Xihu depression,East China Sea shelf basin[J].Journal of Petroleum Science and Engineering,2021,205:108738.
SU Ao,CHEN Honghan,LEI Mingzhu,et al.Paleo-pressure evolution and its origin in the Pinghu slope belt of the Xihu depression,East China Sea Basin[J].Marine and Petroleum Geology,2019,107:198-213.
HAILE B G,KLAUSEN T G,CZARNIECKA U,et al.How are diagenesis and reservoir quality linked to depositional facies? A deltaic succession,Edgeøya,Svalbard[J].Marine and Petroleum Geology,2018,92:519-546.
WANG Jian,CAO Yingchang,LIU Keyu,et al.Identification of sedimentary-diagenetic facies and reservoir porosity and permeability prediction:an example from the Eocene beach-bar sandstone in the Dongying depression,China[J].Marine and Petroleum Geology,2017,82:69-84.
Three-dimensional geological modeling method for complex fracture network system in tight sandstone reservoirs: a case study of the first submember of Member 8 of Triassic Yanchang Formation in Wellblock L of Jiyuan oilfield
Productivity prediction and exploration significance of tight sandstone reservoir in the Member 9 of Triassic Yanchang Formation in Jiyuan area,Ordos Basin
Related Author
Lai Jin
Xiao Lu
Zhao Xin
Zhao Fei
Li Yuhang
Zhu Shifa
Wang Guiwen
Liu Hongkun
Related Institution
State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum
College of Geosciences, China University of Petroleum
State Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum(Beijing)
Chengdu Exploration and Development Research Institute, Daqing Oilfield Limited Company
Research Institute of Exploration and Development, PetroChina Changqing Oilfield Company