Shansi Tian

Dr. Shansi Tian


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 December 2017 in Energy & Fuels
Verified
Journal Article
Closed access
STShansi Tian
Shansi Tian
VEValentina Erastova
Valentina Erastova
SLShuangfang Lu
Shuangfang Lu
HGHugh Greenwell
Hugh Greenwell
TUThomas R. Underwood
Thomas R. Underwood
RZRixin Zhao
Rixin Zhao

31 December 2024 in Marine and Petroleum Geology
Verified
Journal Article
Closed access
ZDZhentao Dong
Zhentao Dong
STShansi Tian
Shansi Tian
HXHaitao Xue
Haitao Xue
SLShuangfang Lu
Shuangfang Lu
Bo LiuBo Liu
Bo Liu
YZYuying Zhang
Yuying Zhang

31 May 2024 in Chemical Engineering Journal
Verified
Journal Article
Open access
Bo LiuBo Liu
Bo Liu
SBSaeed Babaei
Saeed Babaei
MKMatej Kanduč
Matej Kanduč
STShansi Tian
Shansi Tian
LBLonghui Bai
Longhui Bai
MOMehdi Ostadhassan
Mehdi Ostadhassan

26 September 2023 in Organic Geochemistry
Verified
Journal Article
Closed access
Bo LiuBo Liu
Bo Liu
NMNicolaj Mahlstedt
Nicolaj Mahlstedt
BHBrian Horsfield
Brian Horsfield
STShansi Tian
Shansi Tian
QHQiuli Huo
Qiuli Huo
ZPZhejun Pan
Zhejun Pan

15 November 2022 in Fractal and Fractional
Verified
Journal Article
Open access
PDF file
STShansi Tian
Shansi Tian
YGYuanling Guo
Yuanling Guo
ZDZhentao Dong
Zhentao Dong
ZLZhaolong Li
Zhaolong Li
Pore structure is one of the important parameters for evaluating reservoirs, critical in controlling the storage capacity and transportation properties of hydrocarbons. The conventional pore characterization method cannot fully reflect the pore network morphology. The edge-threshold automatic processing method is applied to extract and quantify pore structures in shale scanning electron microscope (SEM) images. In this manuscript, a natural lacustrine oil-prone shale in the Qingshankou Formation of Songliao Basin is used as the research object. Based on FE-SEM, a high-resolution cross-section of shale was obtained to analyze the microstructure of pores and characterize the heterogeneity of pores by multifractal theory. The stringent representative elementary area (REA) of the SEM cross-section was determined to be 35 × 35. Four pore types were found and analyzed in the stringent REA: organic pores, organic cracks, inorganic pores, inorganic cracks. The results showed that inorganic pores and cracks were the main pore types and accounted for 87.8% of the total pore area, and organic cracks were of the least importance in the Qingshankou shale. Inorganic pores were characterized as the simplest pore morphologies, with the largest average MinFeret diameter, and the least heterogeneity. Moreover, the inorganic cracks had a long extension distance and stronger homogeneity, which could effectively connect the inorganic pores. Organic pores were found to be the most complex for pore structure, with the least average MinFeret diameter, but the largest heterogeneity. In addition, the extension distance of the organic cracks was short and could not effectively connect the organic pore. We concluded that inorganic pores and cracks are a key factor in the storage and seepage capacity of the Qingshankou shale. Organic pores and cracks provide limited storage space.

14 October 2022 in Scientific Reports
Verified
Journal Article
Open access
PDF file
WHWenyuan He
Wenyuan He
Bo LiuBo Liu
Bo Liu
MSMengdi Sun
Mengdi Sun
LWLiu Wang
Liu Wang
JZJinyou Zhang
Jinyou Zhang
CUChima Finnian Ukaomah
Chima Finnian Ukaomah
A comprehensive characterisation of the pore structure in shale oil reservoirs is essential for forecasting oil production and exploration risks. This study forecasted these risks in the oil-rich Songliao Basin using combination of high-resolution field emission scanning electron microscopy and quantitative X-ray diffraction to analyze the pore genesis and evolution mode within the first member of the Cretaceous Qingshankou Formation (K2qn1). The results showed the dominance of inorganic pores over organic pores, wherein diagenetic processes, such as compaction, pressure solution, and cementation, were responsible for the destruction of pore structure in the formation. Notably, the pores formed by dissolution and shrinkage cracks resulting from clay mineral transformation improved the oil storage space. Furthermore, according to the geochemical data and clay composition, the K2qn1 shale is in the middle diagenetic stage A, which can be further subdivided into A1 and A2 stages from top to bottom. The porosity slowly decreased in both sub-stages A1 and A2, wherein the decrease was stable in the latter. The diagenetic observations in this study are significant for the exploration of unconventional shale oil in petroliferous basins worldwide.