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

نتاج البحث: Chapter

ملخص

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.

اللغة الأصلية	English
عنوان منشور المضيف	Methods and Applications in Petroleum and Mineral Exploration and Engineering Geology
ناشر	Elsevier
الصفحات	189-201
عدد الصفحات	13
رقم المعيار الدولي للكتب (الإلكتروني)	9780323856171
المعرِّفات الرقمية للأشياء	https://doi.org/10.1016/B978-0-323-85617-1.00015-1
حالة النشر	Published - يناير 1 2021

ASJC Scopus subject areas

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الوصول إلى المستند

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

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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.",

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

author = "Said Gaci and Mohammed Farfour",

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AU - Farfour, Mohammed

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KW - EMD

KW - Hölderian regularity

KW - Multilayer perceptron neural networks (MLP ANN)

KW - S-wave velocity

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

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

ملخص

ASJC Scopus subject areas

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الملفات والروابط الأخرى

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