Eurasian Journal of Chemical, Medicinal and Petroleum Research

Abstract Today, artificial intelligence (AI) has emerged as a vital tool and a driver of innovation in the oil, gas, and petrochemical industries. The use of AI in oil and gas exploration has transformed the capabilities of the industry and made the search for new reserves more efficient and reliable. AI can identify areas with high potential for oil and gas exploration by analyzing geological and geophysical data. These analyses can increase the accuracy and speed of exploration processes and reduce the costs associated with these processes. AI can analyze and summarize large and complex data and provide valuable information for strategic decision-making. AI and machine learning in the oil and gas industry are revolutionizing the exploration process by analyzing vast datasets, including seismic surveys, well logs, satellite imagery, and geological data. Machine learning algorithms can identify patterns and anomalies in this data, helping geologists more effectively identify potential oil reservoirs. For example, consider a scenario in which an exploration team is looking to identify offshore drilling sites. Rather than relying on traditional geological methods, the team is applying AI applications to the oil and gas industry. The AI system ingests data from multiple sources and performs complex analysis to identify areas most likely to contain oil reserves. This focused approach reduces exploration time and costs and minimizes environmental impact by drilling only in areas with high potential. AI also enhances the interpretation of seismic data, a critical aspect of oil exploration.

Abstract The present study examined the iodine diet in patients with hyperthyroidism. Hyperthyroidism is a serious disease that occurs due to dysfunction of the thyroid gland and increased production of thyroid hormone. This disease is usually treated with ant thyroid drugs and, if necessary, surgery. However, a healthy diet can also have a positive effect on improving the health of patients and their condition. For this reason, experts usually recommend that patients with hyperthyroidism follow a diet suitable for hyperthyroidism, along with other treatment options. The amount of radioactive iodine used to control thyroid diseases can vary depending on the individual's disease, so that in some diseases the dose can be without side effects. A proper diet can take steps to eliminate substances that aggravate the symptoms of hyperthyroidism and help improve the symptoms of the disease. A major problem in the diet of people with hyperthyroidism is controlling the amount of iodine intake. In some cases, doctors believe that the presence of excessive amounts of iodine can be effective in cases of hyperthyroidism, and therefore controlling the amount of iodine in the diet can help relieve the symptoms of the disease. The results showed that hyperthyroidism can cause obvious weight loss and make it difficult to gain weight. This is because the body's metabolism increases in this disease. The obvious connection between diet and hyperthyroidism is the presence of iodine in the diet. There are many reasons for the belief that iodine can increase the likelihood of developing hyperthyroidism. On the other hand, Graves' disease has an interesting connection with gluten. Diet can be useful for minimizing the damage caused by hyperthyroidism, especially brittle bones.

Abstract The global economic landscape is constantly changing and has cast a shadow over the global economy. Just this year (2024), presidential elections, military conflicts, and escalation of tensions have made understanding geopolitical risks especially important for forex traders. Supply chain dynamics refers to various factors and interactions that affect the supply of goods, services, information and financial affairs in a supply chain network. Factors that can affect supply chain dynamics include: changes in consumer demand, market trends, developments technological, regulatory requirements, economic conditions, geopolitical events and disruptions such as natural disasters or pandemics, understanding supply chain dynamics for organizations to effectively manage supply chains, optimize operations, reduce Risks and adaptation to changing market conditions are very important. Both of these conflicts could potentially disrupt the global supply of oil and gas in 2024, and hence geopolitical and supply chain issues are the hot topics of 2024 in the energy field. According to Global Data, a leading data and analytics company, it is important for the oil and gas industry to assess the impact of these issues as they chart their growth plans. Global Data’s thematic report, entitled Top 20 oil and gas issues in 2024, includes challenges that can have a significant impact on oil and gas production and supply operations in 2024. Concerns related to the security of energy supply are expected to be the main challenge for the oil and gas business in 2024.

Abstract In this article, while reviewing the "EPC" contracts and the different stages of risk management according to the "PMBOK" standard, a general proposed model for this type of contract is presented, in which the necessity of planning and managing risk in the stages before winning the tender and after winning and signing the contract has been examined and considered. In recent years, the construction market has moved towards contracts in which the final amount and the time of completion of the work are guaranteed. Risk management knowledge, as a subset of project management knowledge, has gradually become a source of influence with such developments. The "PMBOK" standard has divided the risk management process into 6 stages: risk planning, risk identification, qualitative risk analysis, quantitative risk analysis, risk response and risk control. The proposed model in this research is that the contractor must implement stages 1 to 4 of risk management before bidding and after signing the contract, perform the 6 mentioned stages. In this model, the results of the pre-bid risk management review can be used as input to the post-contract phase. The six risk management phases operate like a cycle and are similar to a trial and error method. Initially, the work phases begin with limited parameters. As the project progresses and more details of the work are identified, the impact of risks on more activities must be considered and more risks become apparent, so risk management needs to plan, identify, analyze, respond to, and control new risks over a specific period of time. Methods were also proposed and reviewed for the risk planning and risk identification phases, so that EPC contractors can more easily review and manage risks in these types of contracts.

Abstract The development of renewable energy in Iran is of great importance due to its favorable geographical conditions and the need for sustainable energy sources, and the integration of renewable energy sources in oil and gas operations will create a sustainable future for future generations. The world is at a critical juncture where the demand for energy intersects with the urgent need to combat climate change. Traditional energy sources, dependent on fossil fuels, significantly contribute to greenhouse gas emissions and environmental degradation. In response, there is a paradigm shift towards renewable energy sources such as solar, wind, hydro, and geothermal energy. Programming, in conjunction with technological innovations, plays a pivotal role in the use and optimization of these renewable energy solutions. The role of programming in renewable energy solutions is not just supportive but also transformative. From designing efficient systems and optimizing energy production to enabling smart grids and harnessing the power of artificial intelligence, programming is the main axis that drives the renewable energy revolution forward. As the world increasingly embraces sustainable energy sources, the challenges and opportunities for programming in this area continue to expand. By leveraging the capabilities of programming languages, frameworks, and emerging technologies, developers can help create a cleaner and more sustainable energy future. As we navigate the complexities of climate change, programming becomes an essential tool that enables us to harness the potential of renewable energy and lead the global transition to a more sustainable and resilient energy ecosystem.

Abstract Lithium-ion batteries have changed the landscape of energy storage and ushered in a new era of clean, efficient and sustainable energy solutions. From powering our smartphones and laptops to fueling the transportation and renewable energy sectors, lithium-ion batteries are essential to modern life. The main goal of the innovative technology is to solve one of the old challenges of the battery industry: The erosion of liquid electrolytes. As research and innovation continue to push the boundaries of battery technology, the future holds exciting opportunities for even more efficient, safer and environmentally friendly energy storage solutions. By harnessing the potential of lithium-ion batteries, we can pave the way to a greener and more electrified future for generations to come. Additionally, this solution can improve battery safety by reducing the risk of thermal runaway – a common concern in older lithium-ion batteries. This development is in line with phenomena such as the global determination for sustainable energy solutions as well as the increasing demand for high-performance batteries.

Abstract Genetic technologies in personalized medicine have revolutionized the management of anticoagulant therapy. Despite their vital role in preventing blood clots, these drugs pose numerous challenges in dose adjustment and side effect management due to the varying responses of patients. Genetic analysis has enabled the provision of personalized, safer, and more effective therapy by identifying genetic differences in related genes such as CYP2C9 and VKORC1. By precisely adjusting the dose, reducing side effects, accelerating the treatment process, and reducing costs, this technology not only improves the quality of life of patients but also paves the way for new standards in healthcare. However, challenges such as high costs, limited access, and privacy issues require attention and resolution. In this approach, the genome of the individual in question is compared with reference genomes, and based on the information obtained, the individual can be treated in an appropriate and specific way. In fact, the genetic nature of the individual determines the treatment strategy. One aspect of personalized medicine is the use of pharmacogenomics. In this method, a more appropriate and informed drug is provided by using and knowing the sequence of an individual's genome. In conventional medicine, drugs are often prescribed with the idea that the effect of the drug is the same for everyone, but in fact this is not the case and each person responds differently to the drug depending on the nature of their genome sequence. Therefore, various factors must be taken into account. For example, depending on these sequences, side effects, the required amount of drug, the likelihood of successful treatment, and the prognosis of the disease will all be unique to each individual.