Vibrator attribute leading velocity estimation

Mustafa Al-Ali; Richard Hastings-James; Mohammad Makkawi; Gabor Korvin

doi:10.1190/1.1579571

Vibrator attribute leading velocity estimation

Mustafa Al-Ali^*
, Richard Hastings-James
, Mohammad Makkawi
, Gabor Korvin

^*Corresponding author for this work

King Fahd University of Petroleum & Minerals

Research output: Contribution to journal › Article › peer-review

22 Scopus citations

Abstract

A novel technique, vibrator attribute leading velocity estimation (VALVE), proprietary to Saudi Aramco, for improving near-surface velocity determination using vibrator baseplate estimates of ground parameters is presented. In particular, geostatistics in data interpolation and integration are applied, and the steps for generating an integrated 3D near-surface velocity model using data from an zarea of 2450 km² in eastern Saudi Arabia is described. Moreover, the reults of applying such a model to eismic data stacks is shown.

Original language	English
Pages (from-to)	400+402-405
Journal	Leading Edge
Volume	22
Issue number	5
DOIs	https://doi.org/10.1190/1.1579571
State	Published - May 2003

ASJC Scopus subject areas

Geophysics
Geology

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title = "Vibrator attribute leading velocity estimation",

abstract = "A novel technique, vibrator attribute leading velocity estimation (VALVE), proprietary to Saudi Aramco, for improving near-surface velocity determination using vibrator baseplate estimates of ground parameters is presented. In particular, geostatistics in data interpolation and integration are applied, and the steps for generating an integrated 3D near-surface velocity model using data from an zarea of 2450 km2 in eastern Saudi Arabia is described. Moreover, the reults of applying such a model to eismic data stacks is shown.",

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AU - Al-Ali, Mustafa

AU - Hastings-James, Richard

AU - Makkawi, Mohammad

AU - Korvin, Gabor

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AB - A novel technique, vibrator attribute leading velocity estimation (VALVE), proprietary to Saudi Aramco, for improving near-surface velocity determination using vibrator baseplate estimates of ground parameters is presented. In particular, geostatistics in data interpolation and integration are applied, and the steps for generating an integrated 3D near-surface velocity model using data from an zarea of 2450 km2 in eastern Saudi Arabia is described. Moreover, the reults of applying such a model to eismic data stacks is shown.

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DO - 10.1190/1.1579571

M3 - Article

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VL - 22

SP - 400+402-405

JO - Leading Edge

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Vibrator attribute leading velocity estimation

Abstract

ASJC Scopus subject areas

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