Xiaowei Zheng Xiaowei Zheng

Aarhus University

Nordre Ringgade 1

DK-8000 Aarhus C, 8000

Denmark

  • Aarhus University

SCHOLARLY PAPERS

3

DOWNLOADS

118

TOTAL CITATIONS

0

Scholarly Papers (3)

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1.

Data-Driven Interpretable Machine Learning for Predicting Porosity and Permeability of Tight Sandstone Reservoir

Downloads 76 (682,148)

Data-Driven Interpretable Machine Learning for Predicting Porosity and Permeability of Tight Sandstone Reservoir

Number of pages: 54 Posted: 15 Apr 2024
Liu Cao, Fujie Jiang, Lina Huo, Xiaowei Zheng Xiaowei Zheng, Runhai Feng, Di Chen, Jingqi Zhou, Renda Huang, Yong Ma, Yuchao Qiu, Zhimin Jin and Hua Bai
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Aarhus University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Peking University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 51 (856,832)

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Tight sandstone, porosity and permeability, Interpretable machine learning, Permutation Importance-Set (PI-Set), Stacking, Basin-level prediction model

Data-Driven Interpretable Machine Learning for Predicting Porosity and Permeability of Tight Sandstone Reservoir

Number of pages: 71 Posted: 15 May 2024
Liu Cao, Fujie Jiang, Lina Huo, Xiaowei Zheng Xiaowei Zheng, Runhai Feng, Di Chen, Jingqi Zhou, Renda Huang, Yong Ma, Yuchao Qiu, Zhimin Jin and Hua Bai
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Aarhus University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Peking University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 25 (1,126,794)

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tight sandstone, porosity and permeability, interpretable machine learning, Permutation Importance-Set (PI-Set), Stacking, Basin-level prediction model

2.

Influence of Thermal Intrusion on the Alum Shale from South Central Sweden

Number of pages: 29 Posted: 31 May 2024
Anji Liu, Xiaowei Zheng Xiaowei Zheng, Niels Hemmingsen Schovsbo, Qingyong Luo, Ningning Zhong and Hamed Sanei
affiliation not provided to SSRN, Aarhus University, Geological Survey of Denmark and Greenland, affiliation not provided to SSRN, affiliation not provided to SSRN and Aarhus University
Downloads 27 (1,070,296)

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Solid bitumen, Thermal intrusion, Maceral classification, Lower Paleozoic, Alum Shale

3.

Relating Systematic Molecular and Textural Properties of Graptolite Pyrolyzed Via Gold Tube Experiments: Implications for Thermal Proxies in Lower Paleozoic Marine Shales

Number of pages: 27 Posted: 07 Mar 2025
Xiaowei Zheng Xiaowei Zheng, Hamed Sanei, Fujie Jiang, Qingyong Luo, Ye Wang, Jennifer L. Nedzweckas, Brett Valentine, Martha Rebecca Stokes, Liu Cao and Paul Hackley
Aarhus University, Aarhus University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Government of the United States of America - US Geological Survey, Government of the United States of America - US Geological Survey, Government of the United States of America - US Geological Survey, affiliation not provided to SSRN and Government of the United States of America - US Geological Survey
Downloads 15 (1,217,070)

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graptolite, lower Paleozoic shale, thermal maturity, Raman spectroscopy, organic petrology