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Using Adaptive Neuro Fuzzy Inference System to Predict Rate of Penetration from Dynamic Elastic Properties
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Rate of penetration plays a vital role in field development process because the drilling operation is expensive and include the cost of equipment and materials used during the penetration of rock and efforts of the crew in order to complete the well without major problems. It’s important to finish the well as soon as possible to reduce the expenditures. So, knowing the rate of penetration in the area that is going to be drilled will help in speculation of the cost and that will lead to optimize drilling outgoings. In this research, an intelligent model was built using artificial intelligence to achieve this goal.  The model was built using adaptive neuro fuzzy inference system to predict the rate of penetration in Mishrif formation in Nasiriya oil field for the selected wells. The mean square error for the results obtained from the ANFIS model was 0.015. The model was trained and simulated using MATLAB and Simulink platform. Laboratory measurements were conducted on core samples selected from two wells. Ultrasonic device was used to measure the transit time of compressional and shear waves and to compare these results with log records. Ten wells in Nasiriya oil field had been selected based on the availability of the data. Dynamic elastic properties of Mishrif formation in the selected wells were determined by using Interactive Petrophysics (IP V3.5) software and based on the las files and log records provided. The average rate of penetration of the studied wells was determined and listed against depth with the average dynamic elastic properties and fed into the fuzzy system. The average values of bulk modulus for the ten wells ranged between (20.57) and (27.57) . For shear modulus, the range was from (8.63) to (12.95) GPa. Also, the Poisson’s ratio values varied from (0.297) to (0.307). For the first group of wells (NS-1, NS-3, NS-4, NS-5, and NS-18), the ROP values were taken from the drilling reports and the lowest ROP was at the bottom of the formation with a value of (3.965) m/hrs while the highest ROP at the top of the formation with a value (4.073) m/hrs. The ROP values predicted by the ANFIS for this group were (3.181) m/hrs and (4.865) m/hrs for the lowest and highest values respectively. For the second group of wells (NS-9, NS-15, NS-16, NS-19, and NS-21), the highest ROP obtained from drilling reports was (4.032) m/hrs while the lowest value was (3.96) m/hrs. For the predicted values by ANFIS model were (2.35) m/hrs and (4.3) m/hrs for the lowest and highest ROP values respectively.

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Publication Date
Sun Jun 03 2012
Journal Name
Baghdad Science Journal
Studying Proteus mirabilis Typing Isolated from Urinary Tract infections
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Urine specimen (253 samples) had been collected from urinary tract infections. The study showed that Proteus mirabilis was responsible for (11.85%) of the urinary tract infections. Also, the study had declared that the ratio of isolation of this bacterium from women was (7.51%) and it was higher than the ratio in both men and children which ranged (1.58%) and (2.76%) respectively. Morphological and biochemical studies had been applied to characterize this bacterium as well as other kinds of microorganisms that were isolated from urinary tract infection in this study. The study deals with typing methods such as using biotyping and typing according to Dienes phenomenon beside the succestibility to antibiotics. The results had shown that the s

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Publication Date
Sun Feb 03 2019
Journal Name
Journal Of The College Of Education For Women
KHalaf Alhmar and what we get from his poem
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KHalaf Alhmar and what we get from his poem

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Publication Date
Tue Apr 01 2025
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Congenital Anomalies in Neonates: Findings from Six Baghdad Hospitals
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Background: Birth defects are the leading cause of both neonatal and post-neonatal deaths, as an estimated 240,000 neonates die in their first month of life worldwide each year. In Iraq, local studies have shown varying frequencies and types of congenital anomalies. Objectives: To provide new insight into the incidence and types of congenital anomalies and to explore their possible risk factors in Baghdad City. Methods: In this cross-sectional observational study, a total of 2007 neonates were enrolled from six hospitals in Baghdad during the period extending between September and December 2020. Hospital records and personal interviews were used for data collection. These data included the neonates' demographic and clinical characte

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Publication Date
Wed Mar 09 2022
Journal Name
International Journal Of Research In Social Sciences And Humanities
Escape From Reality in Tennessee Williams' The Glass Menagerie
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Tennessee Williams' The Glass Menagerie is peopled with powerless and defenseless characters. These characters are hypersensitive and in a constant search for protection. They are highly pressurized by life and its bitter reality. Adding to that they are haunted by their fear from the future. They are escapist who try their best to hide behind a protective shield. Their tireless search for security is never smothering. Their only possible defensive mechanism is to flee from their immediate hostile and aggressive surrounding. To achieve this aim, each character has improvised a method that suits him / her best. For example, one of the characters (Tom) sought refuge in alcohol and late night shows. While the other (Amanda) chose to re-live th

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Publication Date
Mon Jan 26 2026
Journal Name
Zootaxa
New fish records from Iraq’s recently discovered coral reef
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Publication Date
Mon Dec 20 2021
Journal Name
Baghdad Science Journal
Generative Adversarial Network for Imitation Learning from Single Demonstration
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Imitation learning is an effective method for training an autonomous agent to accomplish a task by imitating expert behaviors in their demonstrations. However, traditional imitation learning methods require a large number of expert demonstrations in order to learn a complex behavior. Such a disadvantage has limited the potential of imitation learning in complex tasks where the expert demonstrations are not sufficient. In order to address the problem, we propose a Generative Adversarial Network-based model which is designed to learn optimal policies using only a single demonstration. The proposed model is evaluated on two simulated tasks in comparison with other methods. The results show that our proposed model is capable of completing co

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Publication Date
Sat Jan 01 2022
Journal Name
1st Samarra International Conference For Pure And Applied Sciences (sicps2021): Sicps2021
Solving the created ordinary differential equations from Lomax distribution
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Publication Date
Sun Mar 13 2011
Journal Name
Baghdad Science Journal
Lead bioremoval by Bacillus spp. Isolated from industrial wastewater
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Four samples were collected from the wastewater of State Battery Manufacturing Company (SBMC); Babylon 2 factory in AL-Waziriya district, as triplicates. Physical and chemical measurements were carried out such as temperature, pH, Lead concentrations and their ranges were: (19.5-34.5) °C, (6.1-6.4) and (4.5-6.5) mg/L, respectively. Six dominant Bacillus spp. isolates were isolated from these samples; namely, Bacillus subtilis N1, Bacillus subtilis N2, Bacillus subtilis N3, Bacillus cereus N4, Bacillus cereus N5 , Bacillus cereus N6. These isolates were capable of removing Lead from aqueous solutions in a capacity reached 27.6 ± 1.4, 10.1 ± 1.7, 74.5 ± 0.7, 8.93 ± 2.8, 8.1 ± 3.5, 1.6± 0.7 mg/L, respectively. Whereas cell walls,

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Publication Date
Tue May 20 2008
Journal Name
Journal Of Planner And Development
Estimating Water Quality from Satellite Image and Reflectance Data
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The useful of remote sensing techniques in Environmental Engineering and another science is to save time, Coast and efforts, also to collect more accurate information under monitoring mechanism. In this research a number of statistical models were used for determining the best relationships between each water quality parameter and the mean reflectance values generated for different channels of radiometer operate simulated to the thematic Mappar satellite image. Among these models are the regression models which enable us to as certain and utilize a relation between a variable of interest. Called a dependent variable; and one or more independent variables

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Publication Date
Sat Jun 30 2007
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
Zinc Removal from Industrial Wastewater by Electro-Coagulation Process
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Electro coagulation treatment was used for zinc removal from electroplating wastewater of the State Company for Electrical Industries . This wastewater, here consists zinc ions with maximum concentration in solution of 90 ppm .

The parameters that influenced the wastewater treatment are: current density in the range  1-1.4 mA/cm2, pH  in the range 5-10, temperature in the range 25-45°C and time in the range 10-180 minute.

The research is a laboratory experimental type using batch system for electrical process with direct current. The cell comprised of aluminum electrode as anode and stainless steel electrode as cathode. Thirty experiments and one hundred fifty sample lab tests were carried out in this research

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