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Liu Cao

affiliation not provided to SSRN

SCHOLARLY PAPERS

2

DOWNLOADS

136

TOTAL CITATIONS

0

Scholarly Papers (2)

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 63 (957,329)

Abstract:

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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 32 (1,326,242)

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

2.

Pore Structure Analysis and a Novel Interpretable Model for Permeability Prediction of Tight Sandstone Using Pi-Deepfm Machine Learning Algorithm

Number of pages: 50 Posted: 11 Sep 2023
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and Petrochina Tarim Oilfield Co
Downloads 41 (1,170,409)

Abstract:

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Fractal dimension, Interpretable machine learning, Permutation Importance, DeepFM, Permeability prediction, Tight sandstone