The present study deals with the biostratigraphy and depositional environment of
(Late Turonian – Early Campanian) represent dy Khasib, Tanuma and Saadi
Formations in well Agel -12- Northeastern Tikrite. Determination of three
microfacies in Khasib, one microfacies in Tanuma and three microfacies in Saadi
Formations. Depending on microfacies the paleoecologe of Khasib Middle shelf –
Upper Bathyal environment, Tanuma Shelf Margin environment and Saadi
Formations sediment in Middle shelf – Upper Bathyal. Twenty planktic foraminiferal species belonging to eight genera have been identified within the
studied well.
Depending on the stratigraphic distribution of planktic foraminiferal species, the
succession was divided into five biozones. These zones are correlated (locally and
regional) with similar planktic foraminiferal
1- Marginotruncana sigali interval Zone.
2- Dicarinella primitive interval Zone.
3- Dicarinella concavata interval Zone.h
4- Dicarinella asymetrica Total Range Zone.
5- Globotruncanita elevata Partial Range Zone.
Age of Khasib Late Turonian, Tanuma Coniacian and Saadi Santonian - Early
Campanian.
Study of Planktonic Foraminferal biostratigraphy and depositional environment of Khasib, Tanuma and Saadi Formations in well Agel -12- Northeastern Tikrite
biostratigraphy
Khasib
Tanuma and Saadi Formations and Agel -12-
Publication Date
Wed Apr 25 2018
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Different Estimation Methods for System Reliability Multi-Components model: Exponentiated Weibull Distribution
Exponentiated Weibull Distribution (EWD)
Reliability of multi-component Stress – Strength models R(s
k)
Maximum likelihood estimator (MLE)
Moment estimator (MOM)
shrinkage method (Sh)
Least Squares Estimator (LS)
Rank Set Sampling (RSS). and mean squared error (MSE).
In this paper, estimation of system reliability of the multi-components in stress-strength model R(s,k) is considered, when the stress and strength are independent random variables and follows the Exponentiated Weibull Distribution (EWD) with known first shape parameter θ and, the second shape parameter α is unknown using different estimation methods. Comparisons among the proposed estimators through Monte Carlo simulation technique were made depend on mean squared error (MSE) criteria
(1)
