Maojin Tan

Prof. Dr. Maojin Tan


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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18 February 2021 in IEEE Transactions on Geoscience and Remote Sensing
Verified
Journal Article
Closed access
ZNZeyu Nan
Zeyu Nan
MTMaojin Tan
Maojin Tan
JLJun Li
Jun Li
XFXiaomin Fan
Xiaomin Fan
The majority of previous studies of induction logging in fractured formations have typically focused on the variation in spatial resistivity distribution around the wellbore. However, the effect of cumulative charge on the boundaries of an inclined fracture with a distinct morphology on induction logging has rarely been discussed. In this work, the 3-D finite element method (3-D FEM) is adopted to investigate the dual-induction logging response of inclined fractures in formations of different resistivities considering the volume contribution and charge contribution. First, induction logging theory is studied, and a 3-D fractured formation model considering cumulative charges is established. Second, the induction logging responses under various fracture resistivities, apertures, dip angles, and formation resistivities are simulated and analyzed. Subsequently, the corresponding logging response characteristics are studied, and the different response laws of inclined fractures in high- and low-resistivity formations are systematically summarized. Third, a 1:5 miniaturized dual-induction logging instrument was designed and manufactured. Furthermore, two devices were built to measure the induction logging response of the inclined fracture (simulated by nanoscale silver film or metal wire mesh) in low- and high-resistivity formations. The results of the physical experiments are consistent with the numerical results, validating the accuracy of the numerical simulation. Both the results reveal that due to the existence of cumulative charge layers on the upper and lower inclined fracture boundaries, the induction logging response rules of the conductive fractures in high-resistivity formations differ from those in low-resistivity formations, and hence, they should be treated differently.

1 January 2022 in Journal of Petroleum Science and Engineering
Verified
Journal Article
Closed access
SWSiyu Wang
Siyu Wang
MTMaojin Tan
Maojin Tan
XWXiaochang Wang
Xiaochang Wang
LZLingtan Zhang
Lingtan Zhang

29 December 2022 in Geoenergy Science and Engineering
Verified
Journal Article
Closed access
CLChenglin Li
Chenglin Li
MTMaojin Tan
Maojin Tan
ZWZhizhan Wang
Zhizhan Wang
YLYongjie Li
Yongjie Li
LXLizhi Xiao
Lizhi Xiao

1 November 2019 in Fuel
Verified
Journal Article
Closed access
MTMaojin Tan
Maojin Tan
WKWang Kun
Wang Kun
ZYZou Youlong
Zou Youlong
WSWang Siyu
Wang Siyu
FYFang Yuyang
Fang Yuyang
CXCheng Xiangzhi
Cheng Xiangzhi

1 February 2017 in Interpretation
Verified
Journal Article
Closed access
JXJingjing Xu
Jingjing Xu
MTMaojin Tan
Maojin Tan
XWXiaochang Wang
Xiaochang Wang
CWChunping Wu
Chunping Wu
Estimation of S-wave velocity is one of the most critical steps for prestack seismic inversion. Based on the petrophysical model of fractured carbonate rocks, theoretical methods are firstly investigated for estimating P- and S-wave velocities in the presence of fractures. Then, the methods of calculating elastic properties in fractured carbonate rocks are discussed. The mineral concentration, total porosity, and fracture porosity from core X-ray diffraction and routine core measurements or log interpretation results are used to estimate the P- and S-wave velocities. In the given carbonate rock model, the elastic properties of carbonate rocks with different porosity and fractures are calculated. Two field tests prove that the proposed new method is effective and accurate. Furthermore, the model is useful for fluid identification, which is one of the most outstanding problems for carbonate reservoir description. The simulation results suggest that the larger the fracture porosity is, the easier fluid typing. In Tahe Oilfield, the elastic properties of different fluid zones indicate that bulk modulus and Young’s modulus are more sensitive to fluid than shear modulus, the Lamé constant, and Poisson’s ratio.

3 February 2025 in Nanomaterials
Verified
Journal Article
Open access
PDF file
LZLingtan Zhang
Lingtan Zhang
MTMaojin Tan
Maojin Tan
XLXuefeng Liu
Xuefeng Liu
Xiaoqing LuXiaoqing Lu
Xiaoqing Lu
QWQian Wang
Qian Wang
JWJunjie Wang
Junjie Wang
Clay pores are important storage spaces in shale oil reservoirs. Studying the adsorption behavior of shale oil in clay nanopores is of great significance for reserve assessment and exploitation. In this work, illite clay pore models and multi-component shale oil adsorption models considering light hydrocarbon correction are constructed for carrying out molecular dynamics simulation. We studied the adsorption behavior and characteristics of shale oil in illite pores, and analyzed the effects of reservoir environmental factors such as temperature, pressure and pore size on the adsorption behavior. The results show that in illite nanopores, shale oil can form multiple adsorption layers. The heavier the component, the stronger the interaction with the wall. The adsorption ratio of the component is closely related to the solid–liquid interaction and the molar fraction, which preliminarily reveals the reason why the heavy component content in the produced oil is considerable. The increase in temperature promotes the desorption of light and medium components, while the heavy components and dissolved gas are less affected; although the increase in pressure inhibits diffusion, the adsorption amount changes little, and only the light component increases slightly. This study deeply reveals the adsorption mechanism of shale oil in illite pores, providing a theoretical basis for the optimization and development of shale reservoirs.