Prediction of shear wave velocity for carbonate rocks

Author

al-Qattan, Wafa M.

Source

Iraqi Journal of Chemical and Petroleum Engineering

Issue

Vol. 16, Issue 4 (31 Dec. 2015), pp.45-49, 5 p.

Publisher

University of Baghdad College of Engineering

Publication Date

2015-12-31

Country of Publication

Iraq

No. of Pages

5

Main Subjects

Engineering & Technology Sciences (Multidisciplinary)

Abstract EN

In many oil fields only the BHC logs (borehole compensated sonic tool) are available to provide interval transit time (Δtp), the reciprocal of compressional wave velocity VP.

To calculate the rock elastic or inelastic properties, to detect gas-bearing formations, the shear wave velocity VS is needed.

Also VS is useful in fluid identification and matrix mineral identification.

Because of the lack of wells with shear wave velocity data, so many empirical models have been developed to predict the shear wave velocity from compressional wave velocity.

Some are mathematical models others used the multiple regression method and neural network technique.

In this study a number of empirical models were considered to predict VS from VP.

The models had been correlated and a general equation, based on statistical method, was established for carbonate rocks.

The proposed equation, then, was examined using log data and good results observed.

American Psychological Association (APA)

al-Qattan, Wafa M.. 2015. Prediction of shear wave velocity for carbonate rocks. Iraqi Journal of Chemical and Petroleum Engineering،Vol. 16, no. 4, pp.45-49.
https://search.emarefa.net/detail/BIM-683638

Modern Language Association (MLA)

al-Qattan, Wafa M.. Prediction of shear wave velocity for carbonate rocks. Iraqi Journal of Chemical and Petroleum Engineering Vol. 16, no. 4 (Dec. 2015), pp.45-49.
https://search.emarefa.net/detail/BIM-683638

American Medical Association (AMA)

al-Qattan, Wafa M.. Prediction of shear wave velocity for carbonate rocks. Iraqi Journal of Chemical and Petroleum Engineering. 2015. Vol. 16, no. 4, pp.45-49.
https://search.emarefa.net/detail/BIM-683638

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 49

Record ID

BIM-683638