Artificial intelligence helps oil and gas companies assess the value of specific reservoirs, and customize drilling and completion plans according to geology area, and assess the risks of each well individually. In the Kingdom of Bahrain, major companies such as Bapco, Tatweer and Banagas are among the leading companies in the oil industry Gas is a region that is strategically exploring artificial intelligence in its industry.
Here are a few examples of potential AI applications in this area:
1- Detect defects and enhance quality assurance
One challenge in the oil and gas industry is identifying improper threads in pipelines or faults In error-prone mechanisms. Defects at the end of the production line from upstream issues cost the plant resources and budget. For example, if a pipeline or oil splitter machine is installed in production, it may lead This causes serious damage. These losses are relatively much higher than the cost of adopting AI.
2- Ensuring safety and security standards
Companies are required to adhere to safety standards imposed by law. Failure to adhere to these standards results in heavy fines. Although there is a lot of data to monitor safety issues, they are still manual processes Much like manually monitoring camera feeds or physical safety scans, to ensure effectiveness Measures. Current solutions only ensure that employees wear personal protective equipment (PPE) at the point of entry into the plant, Not the entire work day.
An AI-powered computer vision solution can monitor the job site to ensure workers are following procedures Safety without any distractions. Camera data is fed into an AI algorithm which will then be analyzed to send proactive alerts and recommendations . AI solutions can alert management to even the smallest deviations in compliance.
3- Reducing the cost of production and maintenance
Oil or gas extracted using oil rigs is stored in a central warehouse and then distributed through pipelines . Due to different temperatures and environmental conditions, oil and gas components often experience physical deterioration and corrosion. Corrosion can cause deformation of components, resulting in dull threads or can weaken the line The pipe itself.
Failure to address this issue can result in catastrophic damage that stops the entire production process. This is one of the biggest industry concerns and companies employ corrosion engineers to monitor and address the health of components to avoid wear and tear activities Corrosion.
AI solutions can prevent such incidents from occurring. AI and IoT technologies can detect signs of wear by analyzing various parameters using graphs Cognitive and predictive intelligence to approximate the probability of corrosion occurring and raise alerts to pipeline operators. In this way companies can be proactive in dealing with corrosion risks and, moreover, based on.
To analyze the knowledge graph, study the downtime of different machines and predict the time to carry out maintenance activity. In this way, companies plan and adapt to downtime.
4- Make better decisions using analytics
Oil and gas companies deal with a lot of data coming from manufacturing operations but due to a lack of analytics tools appropriate, they are unable to leverage big data based on data silos. Companies can hire data engineers to manually analyze data to extract insights, but this is a limited option in terms of Time and Cost Moreover, no amount of data engineers can access all the data Which are produced in one day of operations.
Big data-powered AI applications derive intelligence and meaning from large amounts of operational data. AI can be used to gather information into segments and detect patterns or discrepancies to make predictions from groups Big data.
According to a recent survey conducted by Ernst & Young, 92 percent of oil companies Global Gas is currently investing in artificial intelligence, or plans to invest within the next five years, and 50 Percent of oil and gas executives rely on artificial intelligence to solve various challenges facing their institutions.
FAQs:
1. How is AI contributing to quality assurance in the oil and gas industry?
AI aids in detecting defects in pipelines and error-prone mechanisms, ensuring high-quality production by identifying issues that might lead to significant damage. The cost of adopting AI for quality assurance is justified by preventing losses incurred from faulty production processes.
2. How does AI enhance safety and security standards in oil and gas plants?
AI-powered computer vision solutions monitor job sites, ensuring compliance with safety procedures. By analyzing camera data, AI algorithms provide proactive alerts and recommendations, enabling companies to address safety deviations promptly, avoiding fines and legal consequences.
3. In what ways does AI reduce production and maintenance costs in the oil and gas industry?
AI and IoT technologies can detect signs of wear in oil and gas components, preventing catastrophic damage caused by corrosion. By analyzing various parameters, AI offers predictive intelligence, allowing companies to proactively address maintenance needs and minimize downtime, thus reducing overall production and maintenance costs.
4. How does AI enable better decision-making through analytics in oil and gas companies?
Big data-powered AI applications extract intelligence from large volumes of operational data, overcoming the limitations of manual analysis. By segmenting information, detecting patterns, and making predictions, AI empowers oil and gas companies to make informed decisions based on real-time insights, contributing to improved operational efficiency.
5. What is the current industry stance on AI adoption in the global oil and gas sector?
According to a survey by Ernst & Young, 92 percent of global oil and gas companies are currently investing in or planning to invest in artificial intelligence within the next five years. Additionally, 50 percent of industry executives rely on AI to address various challenges faced by their institutions, highlighting the widespread acknowledgment of AI’s potential in shaping the future of the oil and gas sector.
Conclusion
The integration of artificial intelligence (AI) into the oil and gas industry is proving to be transformative, offering solutions to longstanding challenges and providing unprecedented opportunities for efficiency, safety, and decision-making. The Kingdom of Bahrain exemplifies the industry’s strategic pursuit of AI, with major players like Bapco, Tatweer, and Banagas leading the way. From defect detection to safety assurance, cost reduction, and data analytics, AI applications are reshaping the future landscape of oil and gas operations.
