A Neuro–Fuzzy Approach for Estimating Shear Wave Velocity Form Porosity Logs – A Case Study from Sarvak Formation, Iran

M. Rajabi; B. Bohloli; S. J. Moosavi; E. Gholampour-Ahangar

doi:10.3997/2214-4609.201400574

A Neuro–Fuzzy Approach for Estimating Shear Wave Velocity Form Porosity Logs – A Case Study from Sarvak Formation, Iran
By M. Rajabi, B. Bohloli, S. J. Moosavi and E. Gholampour-Ahangar
Publisher: European Association of Geoscientists & Engineers
Source: Conference Proceedings, 71st EAGE Conference and Exhibition incorporating SPE EUROPEC 2009, Jun 2009, cp-127-00567
ISBN: 978-90-73781-67-2
DOI: https://doi.org/10.3997/2214-4609.201400574

Abstract

The shear and compressional wave velocities have important rule in study and evaluation of petroleum reservoirs, wave velocities have many applications, in prtrophysical, geophysical and geomechanical studies. Compressional wave velocity obtain very easil

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2009-06-08

2024-04-25

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A Neuro–Fuzzy Approach for Estimating Shear Wave Velocity Form Porosity Logs – A Case Study from Sarvak Formation, Iran

Abstract

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The natural combination of full and image‐based waveform inversion

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Characterizing the effect of elastic interactions on the effective elastic properties of porous, cracked rocks

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Laboratory measurements of guided‐wave propagation within a fluid‐saturated fracture