Dev Joshi

University of Petroleum and Energy Studies (UPES) - Department of Petroleum Engineering and Earth Sciences

Dehradun

India

SCHOLARLY PAPERS

2

DOWNLOADS

57

SSRN CITATIONS

0

CROSSREF CITATIONS

0

Scholarly Papers (2)

1.

Late to the Party: How New Broadband Subscribers Compare to Early Adopters

TPRC 2011
Number of pages: 20 Posted: 31 Jan 2012
Connected Nation Inc., affiliation not provided to SSRN, University of Petroleum and Energy Studies (UPES) - Department of Petroleum Engineering and Earth Sciences and affiliation not provided to SSRN
Downloads 57 (519,055)

Abstract:

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2.

Prediction of Sonic Log and Correlation of Lithology by Comparing Geophysical Well Log Data Using Machine Learning Principles

Geojournal (2021) https://doi.org/10.1007/s10708-021-10502-6
Posted: 14 Dec 2021
University of Petroleum and Energy Studies (UPES) - Department of Petroleum Engineering and Earth Sciences, University of Petroleum and Energy Studies (UPES) - Department of Petroleum Engineering and Earth Sciences, University of Petroleum and Energy Studies (UPES) - Department of Petroleum Engineering and Earth Sciences, University of Petroleum and Energy Studies (UPES) - Department of Petroleum Engineering and Earth Sciences, University of Petroleum and Energy Studies (UPES) - Department of Petroleum Engineering and Earth Sciences, University of Petroleum and Energy Studies (UPES) - Department of Petroleum Engineering and Earth Sciences, University of Petroleum and Energy Studies (UPES) and University of Petroleum and Energy Studies (UPES)

Abstract:

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keywords well log, sonic log, k-meansclustering, regression analysis, neural network, machine learning (ML), silhouette score, CH score, root mean squared error (RMSE), R2scores