Abstract::

This paper presents a comprehensive analysis of linear and nonlinear structural analysis methods, evaluating their Its effect in optimizing and sustaining structural designs. By leveraging advanced scientific data and analytical techniques, this study aims to discern the optimal conditions and scenarios for employing each method. The research includes detailed calculations, comparative data, and case studies, emphasizing the sustainability implications and long-term benefits of each approach.

ABSTRACT

Diagnostic radiation such as X-rays and CT scans play a central role in the diagnosis of diseases. Excessive radiation exposure poses a high risk for healthcare providers as well as patients, which may cause serious diseases such as cancer. Providing protection requirements in the radiation departments and continuous inspection to prevent radiation leakage is the right way to provide human protection. The current study aimed to evaluate the safety rate in the diagnostic radiology departments in Alkhoms City. The questionnaire designed for the study in Arabic language, presented to experts for verification and review, then distributed to eleven medical centres in the Alkhoms region containing many relevant questions regarding the radiology department such as the name and address of a medical centre, in-formation about users and safety. Lead plates are present in 91% of health centres 36% of health centres installed lead plates for 1-5 years, 27% for 6-10 years, and 36% for 21 years or more. Lead plates are inspected once in 27%, three times in 9%, and four times or more in 9% of medical centres, on the other hand, 56% of medical centres didn’t inspect lead plates since installed. The lead plates last examined in 27% of medical centres a year ago, in 9% examined less than five years ago, and in 9% examined less than twenty years ago. On the other hand, 56% of medical centres have not performed any check-ups since installation. Protection glass and lead plates are present in 82% of medical centres, a radiation protection gown is present in 36%, and a dosimeter is present in 9% of medical centres only. Only 18% of health centres have organised a training programme for their radiology department staff. The safety rate in radiology departments in Alkhoms City- Libya is low because most medical centres lack protective equipment, and if they do, there is no regular inspection or testing of this equipment.

Key words: X-rays, Radiation, CT, Risk of radiation, Dosimeter.

ABSTRACT Errors in handwritten prescriptions are a major factor in medical errors and are the main cause of harm to patients due to the lack of clarity of the prescription or the lack of correct data, which leads to the prescription of the wrong medication, causing adverse events. The present study aimed to identify the common errors in handwriting prescriptions in Zliten City. To collect information about errors in handwritten prescriptions, we used two models: first, we distributed fifty-one questionnaires to fifty-one pharmacies distributed in all areas of Zliten city, and second, we collected one hundred and fifty prescriptions from different health facilities distributed in different areas within Zliten city. The questionnaires and prescriptions then analysed to identify medical errors. In the first model of the questionnaire, the results are as follows: the patient's name and age are often present, while the gender, doctor's name, and stamp are often absent. The main issue lies in the clarity of the font for the drug's name, dose, and dosage form. In the second model of the prescriptions, the results are as follows: the patient's name is mostly present, while gender and diagnosis are absent in about 40% of the prescriptions, the doctor's name is mostly absent, and only 2% of the prescriptions have the doctor's stamp and number in the syndicate, and the main issue lies in the clarity of the font for the drug's name, dose, and dosage form., as it is unclear in between 20-30% of the prescriptions. We found that the patient's information is present in most prescriptions the opposite of the questionnaire in which it is less. Also in the prescriber's information, the analysis in our result for prescription contradicted the questionnaires, as most prescribers in the questionnaire are present, we also found that during the analysis of drug information in prescription not clear more than in the questionnaire. From this research, we concluded that there are many errors in prescriptions, possibly because of the large number of cases that need to be seen by the doctor and the speed of writing, and perhaps because doctors forget the vocabulary of the names of medicines. Because of the many errors in handwritten prescriptions, we must immediately switch to computerized prescription writing.

Keywords. Medical Prescription, Medical Errors, Prescription Errors.

The main goal of this study (which the comprehensive reservoir study for Libyan X Field plan of development) is to predict future performance of a reservoir and find ways and means of optimizing the recovery of some of the hydrocarbon under various operating conditions. The simulator results show the reservoir pressure history curve is matching to the stimulation curve, this gives a good indication of the input data that has been entered to the model. The driving mechanism for all those reservoirs it comes from three natural forces, which are fluid expansion, PV compressibility, and water influx. The best method to choose as secondary recovery for this oil field is water and gas Injection. Water and gas Injection have the largest Total Field Recovery. Water and gas Injection have the highest Reservoir Pressure at the end of the project. The highest percentage of oil recovery was when the water and gas were injected and it reached 58%, then when the water was injected and it reached 55%, and then when the gas was actually injected and it reached 54%. The field pressure rise was greater when water and gas were injected, and the pressure reached 792 psi, while it was less when only water was injected, reaching 435.5 psi, and when only gas was injected, it reached 412.9 psi. Finally, central objective of this master thesis with the help of reservoir simulation fulfilled to produce future prediction that will lead to optimize reservoir performance which meant reservoir developed in the manner that brings utmost benefit to the commercial business.

Abstract: Eighty-five rock samples corresponding to the Palaeozoic formations were taken from two wells in the NC 200 Block of the Murzuq Basin. The study aimed to find out geochemical characteristics of Silurian Bir Tlacsin/Tanezzuft Formations, the Devonian Awaynat Wanin/BDS II Formations, and the Carboniferous Marar/Lower Marar Formations. Rock-Eval analysis, Total organic carbon (TOC) parameters and specific Gas Chromatography-Mass Spectrometry (GC-MS) biomarkers were applied to determine the potential hydrocarbon generation. Per se, Rocks are good sources and hold fair content of organic matter, crossing in the range of good accumulation, in which the very good source rocks have an organic carbon richness (TOC) reached of 3.7 wt%. The studied rocks are ranged from immature to late mature organic matter (OM) with total organic carbon richness (TOC) range between 0.4 – 3.7 wt%. Rock-Eval parameters S1, S2, S3, Tmax, S2/S3, OI, PI and HI of the source rock samples have values ranged from 0.02 – 0.3, 0.22 – 6, 0.36 – 4, 423 – 443, 24= 350, 0 – 0.27 and 42 – 384 respectively. The range of hydrogen index (HI) related to oxygen index (OI) displays that all kerogen types from Type II to Type III are exist and increase with depth. The Tmax parameter is wide-ranging among studied formations, indicating different levels of organic matter maturity, from immature oil window and to late mature for the Devonian-Carboniferous and Silurian source rocks, associated with more depth. Molecular composition analysis of n-alkanes and other biomarkers supported the findings of Rock-Eval pyrolysis data, revealing varied hydrocarbon signatures across the formations. The Carbon isotope analysis (δ13C) suggested multiple sources contributing to the generated oil, including Type I to Type III kerogens.

Identifying the driving mechanism and PVT analysis is important for optimizing reservoir development plans through primary, secondary, or tertiary recovery methods. Also, determining the size of an aquifer (based on its response to pressure support) provides a means of calibrating known physics against production data, which once calibrated can be used for prediction. In this paper, the types of natural drivers of the reservoir were estimated and compared using a program called MBAL after matching production history data with model results. The purpose of this paper is to evaluate the basic driving mechanisms and PVT analysis using MBAL software for Intisar D field. The final project results can be seen matching the real data of the reservoir with the program results using MBAL software. The simulation results show that the reservoir pressure history curve matches the stimulation curve, and this gives a good indication of the input data fed into the model. The driving mechanism for all these tanks comes from three natural forces, namely fluid expansion, compression, and water flow. It started with the expansion of the fluid from 0 to 0.60, with the compressibility from 0.60 to 0.89, and with the flow of water from 0.89 to 1 is the flow of water.