Prediction of shear wave velocity for carbonate rocks
Author
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