Empirical mode decomposition-based approaches for predicting velocity well logs in a petroleum reservoir

Said Gaci; Mohammed Farfour

doi:10.1016/B978-0-323-85617-1.00015-1

Empirical mode decomposition-based approaches for predicting velocity well logs in a petroleum reservoir

Said Gaci, Mohammed Farfour

Earth Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

P- and S-wave velocity (Vp & Vs) are of a high interest in petroleum exploration. Understanding the relationship between them brings key information for petrophysics, inversion, and formation evaluation.

Original language	English
Title of host publication	Methods and Applications in Petroleum and Mineral Exploration and Engineering Geology
Publisher	Elsevier
Pages	189-201
Number of pages	13
ISBN (Electronic)	9780323856171
DOIs	https://doi.org/10.1016/B978-0-323-85617-1.00015-1
Publication status	Published - Jan 1 2021

Keywords

CEEMD
EEMD
EMD
Hölderian regularity
Multilayer perceptron neural networks (MLP ANN)
S-wave velocity

ASJC Scopus subject areas

Economics, Econometrics and Finance(all)
Business, Management and Accounting(all)

Access to Document

10.1016/B978-0-323-85617-1.00015-1

Cite this

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keywords = "CEEMD, EEMD, EMD, H{\"o}lderian regularity, Multilayer perceptron neural networks (MLP ANN), S-wave velocity",

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BT - Methods and Applications in Petroleum and Mineral Exploration and Engineering Geology

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ER -

Empirical mode decomposition-based approaches for predicting velocity well logs in a petroleum reservoir

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

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