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Effect of well scheduling and pattern on project development management in unconventional tight gas reservoirs
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The advancements in horizontal drilling combined with hydraulic fracturing have been historically proven as the most viable technologies in the exploitation of unconventional resources (e.g., shale and tight gas reservoirs). However, the number of fractures, well timing, and arrangement pattern can have a significant impact on the project economy. Therefore, such design and operating parameters need to be efficiently optimized for obtaining the best production performance from unconventional gas reservoirs. In this study, the process of selecting the optimal number of fractures was conducted on a section of a tight gas reservoir model (based on data from the Whicher Range (WR) tight gas field in Western Australia). Then, the optimal number of wells per that section was investigated using the net present value (NPV) economic indicator assuming that the production process in all wells starts at the same time (base case). After that, three drilling schedules and patterns namely infill, linear, and hybrid were studied to examine the effect of two timing scenarios known as a fixed point in time and percentage of cumulative production (including the 37.5% EUR (estimated ultimate recovery) and the 62.5% EUR). It was shown that base case and infill drilling have the highest NPV values followed by hybrid and linear patterns in all the timing scenarios. However, the base case and infill drilling scheduling were more sensitive to the development time than hybrid and linear patterns. Additionally, the optimal number of wells per section was found to be a clear function of drilling pattern and lease time. The optimal number of wells (assuming 20 years lease period) was higher in the base case and infill pattern compared to the hybrid and linear pattern. The current study aims to help operators understand how well scheduling and pattern can change the optimal number of wells and thus aid them to reach educated decisions regarding the optimal development plan for the section under the lease. This study can also help operators to develop their management plan by selecting the best drilling pattern and timing to ensure the best return on investment.

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Publication Date
Wed Dec 11 2019
Journal Name
Journal Of The College Of Education For Women
The Effectiveness of Teaching Program Based on The Theory of Multiple Intelligence in the Development of Literary Thinking Among Students
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The research aims to know the effectiveness of a training program based on multiple intelligence theory in developing literary thinking among students of the Arabic Language Department at Ibn Rushd School of Humanities and to achieve the goal of research, the Safaris Research Institute, and the research community of Arabic language students in the Faculty of Education the third section of Arabic Language: The research sample consists of (71) students. Divided into (35) students in the experimental group and (36) students in the control group, the researcher balanced between the two groups with variables (intelligence, testing of tribal literary thinking, and time age in months), and after using the T-test for two independent samples, the

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Publication Date
Mon Nov 19 2018
Journal Name
Journal Of Accounting And Financial Studies ( Jafs )
Effective of incentive system on development of Research creativity for professors of university: Analytical study at private collage in Baghdad
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This research aims at studying and analyzing the creative research thinking of the educational staffs in private universities and colleges, and also the role of incentives, in its materialistic and moral sides in the development of such thinking and the pack of restraints which cause decline in interest level of the scientificresearch, and its weak role in the development of universities in Iraq, despite the interest of the Ministry of Higher Education and Scientific Research in Iraq in scientific research as part ofits academic and humanitarian targets.Based on study and analysis, and the using if some of statistical methods such as the Alpha Chronobaghcoefficient and the (T. Test)(F. Test),the research reached a number of conclusions.

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Publication Date
Thu May 02 2024
Journal Name
Petroleum And Coal
Wellbore Instability Analysis to Determine the Failure Criteria for Deep Well/H Oilfield
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Publication Date
Sun Apr 30 2023
Journal Name
Iraqi Geological Journal
Evaluating Machine Learning Techniques for Carbonate Formation Permeability Prediction Using Well Log Data
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Machine learning has a significant advantage for many difficulties in the oil and gas industry, especially when it comes to resolving complex challenges in reservoir characterization. Permeability is one of the most difficult petrophysical parameters to predict using conventional logging techniques. Clarifications of the work flow methodology are presented alongside comprehensive models in this study. The purpose of this study is to provide a more robust technique for predicting permeability; previous studies on the Bazirgan field have attempted to do so, but their estimates have been vague, and the methods they give are obsolete and do not make any concessions to the real or rigid in order to solve the permeability computation. To

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Publication Date
Wed Jun 15 2022
Journal Name
مجلة كلية الاداب | جامعة بغداد
STRUCTURAL AND TYPOLOGICAL FEATURES OF UNITS OF THE RUSSIAN TERMINOLOGICAL SYSTEM OF THE OIL AND GAS INDUSTRY
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Publication Date
Wed May 01 2019
Journal Name
Iraqi Journal Of Science
Investigation of nanostructured and gas sensing of tin dioxide films prepared by oxidation of Sn
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Publication Date
Fri Dec 25 2015
Journal Name
مجلة اتحاد الجامعات العربية للدراسات والبحوث الهندسية
Smart Sensing for Variable Pressure of Oil Well Safety Valve Using Proportional Pressure Control valve
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Protection of the oil pipelineswhich extracted from the wells was found to shut the well and prevent the leakage of oil when broken using safety valve. This valve is automatically activated by loss of pressure between the well and pipelines, which take the pressure, signal from hydraulic pressure sensor through pressure control valve which has constant or variable value but it is regulated manually. The manual regulatory process requires the presence of monitoring workers continuously near the wells which are always found in remote areas. In this paper, a smart system has been proposed that work with proportional pressure control valve and also electronic pressure sensor through Arduino controller, which is programmed in a way that satisfie

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Publication Date
Sun Jun 12 2011
Journal Name
Baghdad Science Journal
Annealing Effect on the phase Transformation in
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This work describes the effect of temperature on the phase transformation of titanium dioxide (TiO2) prepared using metal organic precursors as starting materials. X-ray diffraction (XRD) was used to investigate the structural properties of TiO2 gels calcined at different temperatures (300, 500, 700) ?C. the results showed that the samples have typical peaks of TiO2 polycrystalline brookite nanopowders after calcined at (300 ?C), which confirmed by (111), (121), (200), (012), (131), (220), (040), (231), (132) and (232) diffraction peaks. Also, XRD diffraction spectra showed the presence of crystallites of anatase with low proportion of rutile phase where calcined at (500 ?C), while rutile phase domains at (700 ?C). The crystallite size of

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Publication Date
Wed Dec 01 2021
Journal Name
Professional Safety
How Technology Can Improve OSH Management in Construction
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Publication Date
Mon Aug 01 2016
Journal Name
Journal Of Engineering
Application Artificial Forecasting Techniques in Cost Management (review)
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For the duration of the last few many years many improvement in computer technology, software program programming and application production had been followed with the aid of diverse engineering disciplines. Those trends are on the whole focusing on synthetic intelligence strategies. Therefore, a number of definitions are supplied, which recognition at the concept of artificial intelligence from exclusive viewpoints. This paper shows current applications of artificial intelligence (AI) that facilitate cost management in civil engineering tasks. An evaluation of the artificial intelligence in its precise partial branches is supplied. These branches or strategies contributed to the creation of a sizable group of fashions s

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