Preferred Language
Articles
/
LRcmV5IBVTCNdQwCxKxV
Advanced Technique of Rock Typing Characterization of Mishrif Formation, Amara Oil Field in Southern Iraq
...Show More Authors

Reservoir rock typing integrates geological, petrophysical, seismic, and reservoir data to identify zones with similar storage and flow capacities. Therefore, three different methods to determine the type of reservoir rocks in the Mushrif Formation of the Amara oil field. The first method represents cluster analysis, a statistical method that classifies data points based on effective porosity, clay volume, and sonic transient time from well logs or core samples. The second method is the electrical rock type, which classifies reservoir rocks based on electrical resistivity. The permeability of rock types varies due to differences in pore geometry, mineral composition, and fluid saturation. Resistivity data are usually obtained from well logs, and resistivity logs are available. The third method is the storage capacity of rocks. The focus is on the ability of rocks to store liquids, especially hydrocarbons. This method analyzes porosity, permeability, and pore size distribution data. After that, we compared the previous three methods to identify the types of rocks and determine the best method. In the first method (Cluster Analysis), three types of rocks were identified (Bad, Moderate, and Good). In the second method, electrical rock type (ERT), four types of rocks were identified (Bad, Moderate, Good, and Very good). Then, the third method (Storage Capacity) came and enhanced the results of the second method, so the second method is considered the best and most accurate method determining the types of rocks.

Scopus Crossref
View Publication Preview PDF
Quick Preview PDF
Publication Date
Sun Feb 03 2019
Journal Name
Journal Of The College Of Education For Women
OIL OF IRAQ AND MULTI-NATIONALITIES COMPANIES "Geopolitical point of view"
...Show More Authors

Multi-nationalities companies are the main companies in the progressed
countries that improve the current technology and, thus, become the main source of it.
These companies, in the first place, aim to increase the profits of its
investments to satisfy stock holders in the original countries to which these companies
belong.
It is a mean to interfere in the economic of countries especially the growing
ones and exploit their important natural resources. Since this research focus on the
dangers of these companies, mechanism of its work and its dangers on the most
important natural resources of our country which is oil; therefore, the research
confirm that this important natural treasure must be under an Iraqi cont

... Show More
View Publication Preview PDF
Publication Date
Fri Jan 01 2010
Journal Name
Positioning
Fluid Inclusions Usage for Assessing Oil Migration in Duhok, North Iraq
...Show More Authors

View Publication
Crossref (5)
Crossref
Publication Date
Sun Dec 06 2015
Journal Name
Baghdad Science Journal
A Qualitative Study of Epiphytic Algae (Diatom) on Some Aquatic Plants in Al-Auda Marshes Within Maysan Province / Southern Iraq
...Show More Authors

The study conducted on the compositions of epiphytic diatoms on three taxa of aquatic plants were selected (Phragmites australis Trin ex stand , Ceratophyllum demersum L. and Typha domengensis Pers) in three sites within Al-Auda Marsh, from autumn 2013 to summer 2014 . The study was measured physical and chemical factors of all the study sites, such as: air temperature, power of hydrogen (pH), electrical conductivity (EC), salinity (S‰), total hardness(TH), dissolved oxygen (DO), and plant nutrient. The results showed that water of marsh was oxygenated and it was very hard. A total of 111 taxa of phytoplankton were identified, which belonged to 13 families and 26 genus (one family and two genus of centric diatoms, 12 families and 26 ge

... Show More
View Publication Preview PDF
Crossref
Publication Date
Sat Nov 30 2024
Journal Name
Iraqi Journal Of Science
Utilizing the Gravity Method to Detect the Potential Effect of the Salt Dome in the Nahr Omar Oilfield, Southern Iraq
...Show More Authors

Geophysics is one of the branches of Earth sciences and deals with studying the Earth's interior by studying the variation of physical properties within rock layers. Applied geophysics depends on procedures that involve the measurements of potential fields, such as the gravitational method. One of the significant oil fields in southern Iraq is represented by the Nahr Omar structure. A power spectrum analysis (SPA) technique was used to collect gravity data within the chosen oil field area in order to confirm the salt dome in the subsurface layers. The analysis of SPA resulted from six surfaces representing the gravity variation values of the depths (m)14300, 3780, 3290, 2170, 810, and 93.5. Gravity surfaces have been converted to de

... Show More
View Publication Preview PDF
Scopus Crossref
Publication Date
Tue Aug 01 2017
Journal Name
International Journal Of Agriculture And Biology
Molecular Characterization of a Leaf Curl Disease Infecting Zucchini Squash in Iraq
...Show More Authors

View Publication
Scopus (3)
Crossref (3)
Scopus Clarivate Crossref
Publication Date
Tue Oct 22 2024
Journal Name
Hemoglobin
Prevalence and Molecular Characterization of β-Thalassemia in Kirkuk Province of Northern Iraq
...Show More Authors

View Publication
Scopus (1)
Crossref (1)
Scopus Clarivate Crossref
Publication Date
Sat Jul 01 2023
Journal Name
Iop Conference Series: Earth And Environmental Science
Monitoring the land surface temperature for Al-Ahdab oil field in 2022 using R.S and GIS techniques
...Show More Authors
Abstract<p>The skin temperature of the earth’s surface is referred to as the Land Surface Temperature (LST). the availability of long-term and high-quality temperature records is important for various uses that affect people’s lives and livelihoods. Much valid information was provided to this research from remote sensing technology by using Landsat 8 (L8) imagery to estimate LST for Al-Ahdab oil field in Wasit city in Iraq. The aim of this research is to analyze LST variations based on Landsat 8 data for 2022 (January, April, July, and October). ArcMap 10.8 was used to estimate LST results. The results values ranged from (about 10 C in January to about 46 C in July). The results show that LS</p> ... Show More
View Publication
Scopus (1)
Scopus Crossref
Publication Date
Wed Apr 01 2015
Journal Name
Journal Of Economics And Administrative Sciences
The role of organizational change to achieve strategic success A field research in the Petroleum Research & Development Center-Ministry of Oil
...Show More Authors

  This current research deals with the "The role of organizational change in the achievement of strategic success" Who are getting increased attention to being one of the important topics and relatively new, And which have a significant impact on the future of the organization So there is a need for this research, which aims to identify the role of organizational change across dimensions (technology, organizational structure, human resources, organizational culture) in the strategic success through its components (a specific strategy, effective implementation, innovation, customer satisfaction)، And that by two main hypotheses, branched about eight hypothes

... Show More
View Publication Preview PDF
Crossref (2)
Crossref
Publication Date
Wed Jul 02 2008
Journal Name
Iraqi Journal Of Science
Petrology, geochemistry and tectonic environment of the Shalair Metamorphhic Rock Group and Kater Rash Volcanic Group, Shalair Valley area, Northeastern Iraq
...Show More Authors

Publication Date
Sun Mar 31 2024
Journal Name
Iraqi Geological Journal
Permeability Prediction and Facies Distribution for Yamama Reservoir in Faihaa Oil Field: Role of Machine Learning and Cluster Analysis Approach
...Show More Authors

Empirical and statistical methodologies have been established to acquire accurate permeability identification and reservoir characterization, based on the rock type and reservoir performance. The identification of rock facies is usually done by either using core analysis to visually interpret lithofacies or indirectly based on well-log data. The use of well-log data for traditional facies prediction is characterized by uncertainties and can be time-consuming, particularly when working with large datasets. Thus, Machine Learning can be used to predict patterns more efficiently when applied to large data. Taking into account the electrofacies distribution, this work was conducted to predict permeability for the four wells, FH1, FH2, F

... Show More
View Publication
Scopus (3)
Scopus Crossref