Haitao Wang

Dr. Haitao Wang


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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1 December 2017 in Marine and Petroleum Geology
Verified
Journal Article
Closed access
PCPatrick Corbett
Patrick Corbett
HWHaitao Wang
Haitao Wang
RCRaphael Nóbrega Câmara
Raphael Nóbrega Câmara
ATAna Carolina Tavares
Ana Carolina Tavares
LALeonardo Fonseca Borghi de Almeida
Leonardo Fonseca Borghi de Almeida
RBRodrigo Bagueira
Rodrigo Bagueira

10 February 2020 in International Journal of Earth Sciences
Verified
Journal Article
Closed access
PDF file
YTYue Tang
Yue Tang
QZQing-Guo Zhai
Qing-Guo Zhai
PHPei-Yuan Hu
Pei-Yuan Hu
SCSun-Lin Chung
Sun-Lin Chung
XXXu-Chang Xiao
Xu-Chang Xiao
HLHao-Yang Lee
Hao-Yang Lee

23 May 2017 in Journal of Geophysics and Engineering
Verified
Journal Article
Closed access
PDF file
HWHaitao Wang
Haitao Wang

1 March 2019 in Journal of Applied Geophysics
Verified
Journal Article
Closed access
HWHaitao Wang
Haitao Wang
JZJinyan Zhang
Jinyan Zhang


8 January 2025 in Interpretation
Verified
Journal Article
Closed access
YLYuejiao Liu
Yuejiao Liu
FLFuqiang Lai
Fuqiang Lai
HWHaitao Wang
Haitao Wang
Ruyue WangRuyue Wang
Ruyue Wang
JSJianmeng Sun
Jianmeng Sun
CZChengxiang Zeng
Chengxiang Zeng
The logging evaluation of shale fracability is significant for the selection of high-quality reservoir targets and the construction of staged fracturing. The factors affecting shale fracability are complex, and the analysis and weight selection of the factors in traditional logging evaluation methods are obscure, thus resulting in low evaluation accuracy. In this paper, the shale oil reservoirs in the Liushagang Formation in the Weixinan Depression are divided into three types: the matrix type, texture type, and interlayer type. Then, a 3D digital core model is established to characterize the reservoirs in the Weixinan Depression. Through finite-element simulation, sensitivity analysis, and an analytic hierarchy process, the sensitivity and relative weights of the factors affecting the fracability of different types of shale oil reservoirs are determined. Finally, the evaluation model of fracability for different types of shale oil reservoirs is established, and the reliability of the model is verified by the comparison with fracturing data. The main factors affecting the fracability of target layers include mineral composition, textures, and fractures. The minerals with the most significant influence on elastic parameters are quartz and clay. Texture density has the most significant influence on the texture-type shale oil reservoir, and fractures mainly affect the interlayer-type shale oil reservoir. The fracability evaluation model established in this paper allowed the classification and accurate evaluation of reservoir fracability through the microscopic analysis of rocks and the quantification of influencing factors, which largely determined the accurate and efficient development of shale oil and gas.