Aeolian And Fluvial Depositional Systems Discrimination In Wireline Logs: Unayzah Formation, Central Saudi Arabia
Name
2000.12 Al-Dajani et al.pdf
Size
537.91 KB
Format
Adobe PDF
Checksum (MD5)
0a4e2ac0d4dd00fff0a546c153e9ed86
Author(s)
Al-Dajani, AbdulFattah
Burns, Daniel
Toksoz, M. Nafi
Date Issued
2000
Publisher
Massachusetts Institute of Technology. Earth Resources Laboratory
Series/Report no.
Earth Resources Laboratory Industry Consortia Annual Report;2000-12
Abstract
The objective of tills study is to discriminate between aeolian and fluvial deposits of
the Permian Unayzah formation in Central Saudi Arabia by using wireline logs. The
analysis is conducted on wire-line logs (field data): Density, sonic, gamma, and neutron,
from two vertical wells (U1 and U2) in Central Saudi Arabia. Core data are available
at well location U1 but not at U2. We apply an automated neural-network method
to the wireline data for facies discrimination. Our analysis has been applied to the
logs of well U2 after training the method on U1 logs using available core information.
Results indicate that the Unayzah formation at well location U2 consists mainly of
fluvial deposits (about 90%), which is consistent with previous studies and is supported
by surface seismic images.
We also investigate an analysis method based On the Fourier transform. We study
the decay of the energy spectrum in the frequency domain and estimate the associated
power-law exponent (i.e., the slope of the decay) for each depositional system. Analysis
on the porosity logs (density, neutron, sonic, and shear), which are highly influenced by
deposition composition and texture, has shown that the exponent is about the same for
fluvial deposits at both well locations, while it is different for aeolian deposits.
Persistent DSpace Link
