Data analytics and Bayesian Optimised Extreme Gradient Boosting approach to estimate cut-offs from wireline logs for net reservoir and pay classification-Reference-Cited by-同舟云学术

Data analytics and Bayesian Optimised Extreme Gradient Boosting approach to estimate cut-offs from wireline logs for net reservoir and pay classification

Published:2022-05 Issue: Volume:120 Page:108680
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Otchere Daniel Asante^ORCID,Ganat Tarek Omar Arbi,Nta Vanessa,Brantson Eric Thompson,Sharma Tushar

Funder

Yayasan UTP

Universiti Teknologi Petronas

Publisher

Elsevier BV

Subject

Software

Reference25 articles.

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4. Static reservoir modeling comparing inverse distance weighting to kriging interpolation algorithm in volumetric estimation. case study: gullfaks field;Otchere,2021

5. A comprehensive method for determining net pay in exploration/development wells;Qassamipour;J. Pet. Sci. Eng.,2021

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