Amara oil field is located at south eastern Iraq in Missan governorate. The Mishrif Formation in Amara field is one of the most important reservoirs in southern Iraq. Identifying and characterizing petrophysical flow units are the key to understanding and improving reservoir description, exploitation, production and predicting the performance of carbonate reservoirs to represent them as combinations of different flow units, each with uniform pore throat size distribution and similar performance. Mishrif Formation in Amara oil field was divided into seven reservoir units (MA.MB11,MB12,MB13,MB21,MC1, and MC2) separated between them barrier beds. The present work is a reservoir flow unit identification for (MA) and (MB11) reservoir units of the Mishrif Formation in two wells ,Amara oil Field (Am-1, and Am-3) using available core data. Also Winland's approach was used to predict pore throat types that corresponds to the R35 value which is a function of entry size and pore throat sorting, and is a good measure of the largest connected pore throats in a rock with intergranular porosity. Determined R35 using Winland's model shows the reservoir rock type of MA unit is better than reservoir rock type in MB11 unit. According to R35 values, the pore throat types of Mishrif Formation in MA unit are mostly of meso, micro, macro, and mega type respectively and negligible existences of nano type, where as MB11 unit consists mostly of meso, macro and micro type respectively with few existences of nano pore type and without any mega type. Application of petrophysical flow unit types approach from routine core analysis indicates that MA unit of Mishrif Formation consists of five hydraulic flow units in wells under study where as MB11 unit has four hydraulic flow units.
Staphylococcus aureus and Pseudomonas aeruginosa are the major globally distributed pathogens, which causes chronic and recalcitrant infections due to their capacity to produce biofilms in large part. Biofilm production represents a survival strategy in these species, allowing them to endure environmental stress by altering their gene expression to match their own survival needs. In this study, we co-cultured different clinical isolates of S. aureus and P. aeruginosa as mono- and mixed-species biofilms in a full-strength Brain Heart Infusion Broth (BHI) and in a 1000-fold diluted Brain Heart Infusion Broth (BHI/1000) using Microtiter plate assay and determination of colony-forming units. Furthermore, the effect of starvation stress on the e
... Show MoreThe aim of this research is to study some functional properties and the antioxidant activity of cherry gum, collected from Serghaya and Suwayda in Syria, and to compare these features with those of Arabic gum. The values of the hydroxyl groups for the Arabic gum, Serghaya and Suwayda cherry gums were 757.1, 655.1 and 564.3 mg KOH/gm, respectively. The solubility of exudate gums ranged from 53.53 to 86.53% and was arranged as follows: Arabic gum>Serghaya cherry gum >Suwayda cherry gum. Gum solubility increased with rising the temperature. Water and oil holding capacities of cherry gums were significantly higher (p<0.05) than those of Arabic gum, while their emulsifying capacity was significantly lower than that of Arabic gum. The
... Show MoreAverage per capita GDP income is an important economic indicator. Economists use this term to determine the amount of progress or decline in the country's economy. It is also used to determine the order of countries and compare them with each other. Average per capita GDP income was first studied using the Time Series (Box Jenkins method), and the second is linear and non-linear regression; these methods are the most important and most commonly used statistical methods for forecasting because they are flexible and accurate in practice. The comparison is made to determine the best method between the two methods mentioned above using specific statistical criteria. The research found that the best approach is to build a model for predi
... Show MoreLung cancer is one of the most serious and prevalent diseases, causing many deaths each year. Though CT scan images are mostly used in the diagnosis of cancer, the assessment of scans is an error-prone and time-consuming task. Machine learning and AI-based models can identify and classify types of lung cancer quite accurately, which helps in the early-stage detection of lung cancer that can increase the survival rate. In this paper, Convolutional Neural Network is used to classify Adenocarcinoma, squamous cell carcinoma and normal case CT scan images from the Chest CT Scan Images Dataset using different combinations of hidden layers and parameters in CNN models. The proposed model was trained on 1000 CT Scan Images of cancerous and non-c
... Show MoreBackground: Klebsiella pneumoniae were considered as normal flora of skin, and intestine. It can cause damage to human lungs; the danger of this bacterium is related to exposure to the hospital surroundings. materials and methods: the detection of Klebsiella pneumoniae on morphological and biochemical tests and then assured with VITEK 2 system. Resistance to antibiotics was determined by Kirby-Baeur method. And genotyping of IMP-1 in isolates was done by PCR technique, then biofilm formation was identified by Micro titer plate method. Results: The present study included a collecting of 50 specimens from different clinical specimens, (blood 40%, urine 30%, sputum 20%, wound infection 10%); 10 isolates were identified as K
... Show MoreThe Barremain-Aptian succession represented by two types of deposits, Clasits deposits of Zubair Formation. This formation is the most significant sandstone reservoir in Iraq, Deposited in fluvio- deltaic, deltaic and marine environments during the Barremain to Early Aptian age.
The area of study is located in the Mesopotamian Zone at S
The Barremain-Aptian succession represented by the Clasits deposits of Zubair Formation. This formation is the most significant sandstone reservoir in Iraq which deposited in fluvio- deltaic, deltaic and marine environments during the Barremain to Early Aptian age. The area of study is located in the Mesopotamian Zone at Southern part of Iraq which represented by five oil fields (Nasira, L
... Show MoreBiofilm formation (BF) is one of the most important virulence factors of
Candida spp. The aim of this study was to detect the prevalence of genes
responsible in biofilm formation of C. albicans by conventional PCR technique.
Among 49 vaginal specimens (VC), C. albicans was the most predominant species
in percentage 22/49 (45%) and 27(55%) were non albicans. Out of 47 oral
specimens (OS), 22/47(47%) were C. albicans, whereas 25(53%) were non albicans.
At the present study; all C. albicans were biofilm producers with variable strength,
out of 44 BF producers, 18 (40.9%) were low biofilm (LBF) with significant
differences (P<0.05) between HVS and OS, 25 (56.8%) moderate or high biofilm
(HBF) and just one isolat
APDBN Rashid, The College of Arts/ Al-Mustansiriyya University, 2004
The Pila Spi Formation (middle – late Eocene) was studied in terms of field character, Petrography and geochemistry from two outcrops (Bakhar and Bani bawy) sections, Northern Iraq. The field studies showing massive, lithified limestone to marly limestone high effected by dolomitization. The petrography studies shows that most of the skeletal grains was destroyed due to digenetic processes specifically the dolomitization, and the vast majority of carbonate rocks are mudstone and few beds of wackestone. The geochemical study reveals low CaO% and high MgO% content due to the intense effect of dolomitization, and the carbonate rocks was classified as impure limestone generally of slightly calcareous dolomite. Ca/Mg and Sr/Ca ratios have b
... Show MorePorosity is important because it reflects the presence of oil reserves. Hence, the number of underground reserves and a direct influence on the essential petrophysical parameters, such as permeability and saturation, are related to connected pores. Also, the selection of perforation interval and recommended drilling additional infill wells. For the estimation two distinct methods are used to obtain the results: the first method is based on conventional equations that utilize porosity logs. In contrast, the second approach relies on statistical methods based on making matrices dependent on rock and fluid composition and solving the equations (matrices) instantaneously. In which records have entered as equations, and the matrix is sol
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