Hanqing Zhu
PetroChina
4 Papers
2 Citations
Hanqing Zhu is an academic researcher from PetroChina. The author has contributed to research in topics: Nanopore & Absorption of water. The author has an hindex of 1, co-authored 2 publications.
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Papers
Experimental investigation on physical and mechanical properties of excavated soil- and fine recycled concrete aggregate-based unfired clay bricks containing compound additives
TL;DR: In this article , the feasibility of jointly using excavated soil and fine recycled concrete aggregate (FRCA) to manufacture unfired clay bricks (UCBs) was examined, and two orthogonal experiments (i.e., compression and flexure) were conducted to examine the feasibility.
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Spatial variations in diagenetic facies in tight sandstones from sublacustrine-fan deposits: Upper Triassic Yanchang formation, Ordos Basin, China
Wurong Wang,Dali Yue,Kenneth A. Eriksson,Shixiang Li,Yueyang Zhang,Jiarui Zhang,Zhen Li,Xiu-lin Hou,Wei Li,Hanqing Zhu,Shenghe Wu +10 more
TL;DR: This study identifies five diagenetic facies in tight sandstones from the Upper Triassic Yanchang Formation, Ordos Basin, China, and develops a neural network model to predict facies distribution, revealing significant spatial variations related to paleoflow and lake-level cycles.
2
Factors affecting the nanopore structure and methane adsorption capacity of organic-rich marine shales in Zhaotong area, Southern Sichuan Basin
TL;DR: In this paper, the authors conducted a series of experiments, such as X-ray diffraction, field emission scanning electron microscopy, low-pressure [Formula: see text] adsorption, and high-pressure methane adaption, in the Lower Silurian Longmaxi Shale in the Zhaotong area.
2
Investigation of pore-type heterogeneity and its control on microscopic remaining oil distribution in deeply buried marine clastic reservoirs
Panke Sun,Huaimin Xu,Hanqing Zhu,Langbo Jia,Xiaoni Hu,Huijing Fang,Hanqiao Jiang,Zhaohui Xu,Tongwen Jiang,Xu Jiang,Linfeng Tian +10 more
TL;DR: In this article, a new characterization method of flow zone indicator (FZI) with conventional velocity data as input and pore aspect ratio (α) as intermediate parameter, and conducting CT scan imaging on reservoir samples with different pore types, as identified by FZI, at different levels of water injection.