High pollutant levels of produced water around Al-Ahdab oil field in Wasit governorate (Iraq)

N M Hammod; Khalid Waleed S Al-Janabi; S A Hasan; Z S. Al-Garawi

doi:10.1088/1742-6596/1853/1/012004

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Publication Date

Mon Mar 01 2021

Journal Name

Journal Of Physics: Conference Series

Volume

1853

DOI

10.1088/1742-6596/1853/1/012004

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High pollutant levels of produced water around Al-Ahdab oil field in Wasit governorate (Iraq)

Heavy Metals (Cd

Co

Cr

Pd

and Ni)

Al-Ahdab oilfield in Wasit

Iraq

the Main Outfall Drain (MOD)

produced water (PW)

inductively couple plasma (ICP-OES)

N M Hammod

Khalid Waleed S Al-Janabi

S A Hasan

Z S. Al-Garawi

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AbstractExploration activities of the oil and gas industry generate loads of formation water called produced water (PW) up to thousands of tons each day. Depending on the geographic area, formation depth, oil production techniques, and age of oil supply wells, PW from different oil fields contain different chemical compositions. Currently, PW is also known as industrial waste water containing heavy metals that are toxic to humans and the environment, requiring special processing so that they can be disposed of in the environment. To determine the heavy metals content in PW from the Al-Ahdab oil field (AOF), the Ministry of Science and Technology/Agricultural Research Department determined some parameters including the concentrations of Cd, Co, Cr, Pd, and Ni using instrument inductively couple plasma (ICP-OES). Results of this study showed high concentrations of Cd (0.51-2.05, Cr (0.06-1.81), Co (0.11-0.72), Ni (0.12-0.22) and Pb (5.52-20.6) in the AOF compared to concentrations in water bodies about 16 km outside the field; Cd (0.01-0.32), Cr (0.01-0.11), Co (0.03-0.18), Ni (0.02-0.11) and Pb (0.04-1.73). These findings indicate there are increased levels of pollutants in the PW within the AOF of the Main Outfall Drain (MOD). The PW could not be as a source of drinking water and other daily activities, including fisheries and crop planting, unless advanced treatment, to remove the heavy metal content.

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Publication Date

Thu Jul 02 2026

Journal Name

Innovative Construction And Petrochemical Technologies

Improving Arabic Text Classification Accuracy Using Lightweight NLP Techniques

Arabic natural language processing

Arabic text classification

TF-IDF method

Chi-Square feature selection

linear SVM classifier

Logistic Regression

BiLSTM

AraBERT

efficient NLP models

accuracy and efficiency trade-off

Rasha

Safana

Sarah

Reiam

Rusul

Liqaa

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Arabic text classification is a challenging task because of the complex morphology of the language, the existence of different writing forms and a multitude of dialects, which can result in sparser common text representations. While transformer models such as AraBERT have obtained superior results on many Arabic NLP tasks, their high computational requirements make them difficult to deploy in environments with limited hardware resources. In some cases this can also make the model less practical for researchers working with basic computer systems. This study focuses on a more practical issue: how much accuracy a simple classifier may lose when the amount of required computation is reduced. We use a combined TF-IDF representation based on bo

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Publication Date

Wed Feb 01 2017

Journal Name

International Journal Of Science And Research (ijsr)

Fibrewise Soft Topological Spaces

Soft set

soft continuous

fibrewise soft topological spaces

fibrewise closed soft topological spaces

fibrewise open soft topological spaces

fibrewise soft near compact spaces and fibrewise locally soft near compact space.

Y. Y.

M. A.

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In this work we define and study new concept of fibrewise topological spaces, namely fibrewise soft topological spaces, Also, we introduce the concepts of fibrewise closed soft topological spaces, fibrewise open soft topological spaces, fibrewise soft near compact spaces and fibrewise locally soft near compact spaces.

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Publication Date

Mon Jul 01 2019

Journal Name

Journal Of Physics: Conference Series

Fibrewise Pairwise Soft Separation Axioms

Fibrewise bitopological spaces

Fibrewise pairwise soft spaces

fibrewise pairwise soft Hausdorff spaces

Fibrewise pairwise soft regular spaces and fibrewise pairwise soft normal spaces.

Y Y

M A

L A

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AbstractThe main idea of this research is to study fibrewise pairwise soft forms of the more important separation axioms of ordinary bitopology named fibrewise pairwise soft <italic>T</italic> 0 spaces, fibrewise pairwise soft <italic>T</italic> 1 spaces, fibrewise pairwise soft <italic>R</italic> 0 spaces, fibrewise pairwise soft Hausdorff spaces, fibrewise pairwise soft functionally Hausdorff spaces, fibrewise pairwise soft regular spaces, fibrewise pairwise soft completely regular spaces, fibrewise pairwise soft normal spaces and fibrewise pairw ... Show More

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Publication Date

Thu Aug 01 2019

Journal Name

Journal Of Economics And Administrative Sciences

مقارنة مقدرات بيز لدالة المعولية لتوزيع باريتو من النوع الاول باستعمال دوال معلوماتية مضاعفة مختلفة

Pareto type I distribution

reliability function

bayes method

double prior distributions (chi-gamma square distribution. gamma- erlang distribution

erlang exponential distribution

the squared error loss function.

توزيع باريتو من النوع الاول

دالة المعولية

طريقة بيز

الدوال المعلوماتية المضاعفة : توزيع مربع كاي- كاما

توزيع كاما - ارلنك

التوزيع ارلنك- الاسي

دالة الخسارة التربيعية.

جنان عباس

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The comparison of double informative priors which are assumed for the reliability function of Pareto type I distribution. To estimate the reliability function of Pareto type I distribution by using Bayes estimation, will be used two different kind of information in the Bayes estimation; two different priors have been selected for the parameter of Pareto type I distribution . Assuming distribution of three double prior’s chi- gamma squared distribution, gamma - erlang distribution, and erlang- exponential distribution as double priors. The results of the derivaties of these estimators under the squared error loss function with two different double priors. Using the simulation technique, to compare the performance for

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