Adopting AI Systems in the Management of Brown Field Projects

Abstract: Intelligence Brownfield projects significantly benefit from Artificial Intelligence (AI) as project managers adopt different machine learning tools to support the planning, design, execution, control, and monitoring of oil and gas projects. The technological advancements in data science contribute to sustainable developments in brownfield projects as engineers, project managers, and investors look for sustainable means to improve project efficiency and minimize construction costs. For instance, understanding data science through machine learning improves project schedules. The project managers rely on AI algorithms to predict cost variations, labor force performance, and potential risks such as adverse weather patterns. In addition, AI tools such as machine learning are vital for engineering design and procurement. Engineers can make adjustments to their designs based on the risk assessment data. However, quality design outcomes rely on accurate data. The procurement team also requires accurate data to estimate costs, cut costs where necessary, and provide alternatives. Therefore, the paper presents AI's role in enhancing safe and sustainable engineering designs for brownfield projects. The research paper also discusses the role of chatbot tools in retrieving important documents such as Engineering Design Codes. The project stakeholders can rely on the AI applications to access the project information and provide feedback. With AI technology, the design team, such as structural engineers, architects, and quantity surveyors, can simulate the project and share it with other stakeholders, such as project managers and the client. Therefore, AI is suitable for the planning, design, execution, management, control, monitoring, and operation of brownfield projects Keywords: Brownfield Projects, AI, Machine Learning, Chatbots, project costs and scheduling, engineering design and procurement, stakeholders engagement, data science. Title: Adopting AI Systems in the Management of Brown Field Projects Author: Abdulmajeed M. Al-Dhargham International Journal of Engineering Research and Reviews ISSN 2348-697X (Online) Vol. 11, Issue 3, July 2023 - September 2023 Page No: 41-47 Research Publish Journals Website: www.researchpublish.com Published Date: 01-August-2023 DOI: https://doi.org/10.5281/zenodo.8202464 Paper Download Link (Source) https://www.researchpublish.com/papers/adopting-ai-systems-in-the-management-of-brown-field-projectsInternational Journal of Engineering Research and Reviews, ISSN 2348-697X (Online), Research Publish Journals, Website: www.researchpublish.co