Renda Huang

Peking University

SCHOLARLY PAPERS

2

DOWNLOADS

204

TOTAL CITATIONS

0

Scholarly Papers (2)

Astronomical Constrains on the Duration of Toarcian Global Carbon Perturbation and Lacustrine Environmental Paced by Obliquity Variations in the Sichuan Basin, China

Number of pages: 28 Posted: 09 May 2022
affiliation not provided to SSRN, 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 and Peking University
Downloads 76 (697,556)

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Cyclostratigraphy, Toarcian-CIE duration, Sichuan Basin, strong obliquity signal, sedimentary noise

Astronomical Constrains on the Duration of Toarcian Global Carbon Perturbation and Lacustrine Environmental Paced by Obliquity Variations in the Sichuan Basin, China

Number of pages: 28 Posted: 09 May 2022
affiliation not provided to SSRN, 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 and Peking University
Downloads 52 (856,682)

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Cyclostratigraphy, Toarcian-CIE duration, Sichuan Basin, strong obliquity signal, sedimentary noise

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

Number of pages: 54 Posted: 15 Apr 2024
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 (864,965)

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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
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 (1,138,174)

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