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Mathematical-procedural Knowledge ant its relation to logical-mathematical intelligence among students at the third stage in mathematics department
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The study seeks the relationship between the mathematical-procedural Knowledge and the logical-mathematical intelligence among students at the third stage in mathematics department. To this end, three questions were arisen: what is the level of mathematical-procedural Knowledge among the third stage students in mathematics department regarding their gender? Do male or female students have more logical-mathematical intelligence and are there significant differences base on their gender? What kind of correlation is between the level of mathematical-procedural Knowledge and the logical-mathematical intelligence of male and female students in the third stage in the mathematics department? A sample of (75) male and female students at the third stage in mathematics department were selected from college of education for pure sciences \ University of Baghdad. The researcher has developed two scales: one to measure the mathematical-procedural Knowledge consisted of (8) items, and the other to measure logical-mathematical intelligence composed of (10) items. The findings revealed a correlation relationship between the mathematical-procedural Knowledge and the logical-mathematical intelligence foe sample as a whole. It also found students have logical-mathematical intelligence comparing to the mathematical-procedural Knowledge that showed a low level.

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Publication Date
Mon Dec 10 2018
Journal Name
Day 1 Mon, December 10, 2018
Wellbore Trajectory Optimization Using Rate of Penetration and Wellbore Stability Analysis
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Drilling deviated wells is a frequently used approach in the oil and gas industry to increase the productivity of wells in reservoirs with a small thickness. Drilling these wells has been a challenge due to the low rate of penetration (ROP) and severe wellbore instability issues. The objective of this research is to reach a better drilling performance by reducing drilling time and increasing wellbore stability.

In this work, the first step was to develop a model that predicts the ROP for deviated wells by applying Artificial Neural Networks (ANNs). In the modeling, azimuth (AZI) and inclination (INC) of the wellbore trajectory, controllable drilling parameters, unconfined compressive strength (UCS), formation

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Publication Date
Sun Oct 01 2023
Journal Name
مجلة دراسات دولية
الذكاء الاصطناعي والوجود الإنساني: قراءة فكرية في الابعاد الاجتماعية
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