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João Humberto Guandalini Batista

affiliation not provided to SSRN

SCHOLARLY PAPERS

1

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85

TOTAL CITATIONS

1

Scholarly Papers (1)

1.

Machine-Learning Based Evaluation of Eccentricity and Acoustical Impedance in Oil Well Using Vdl Data

Number of pages: 31 Posted: 12 Mar 2022
Stanford University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Pontifical Catholic University of Rio de Janeiro and Pontifical Catholic University of Rio de Janeiro
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Citation 1

Abstract:

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Acoustic Logging, Machine learning, Cement Evaluation, Plug & Abandonment, AcousticalImpedance, Eccentricity