Year: 2024
Type: article
Abstract: : The integration of Artificial Intelligence (AI) into the oil and gas project management sector is rapidly transforming traditional practices, offering a range of benefits from enhanced decision-making to improved efficiency and knowledge sharing. This paper explores the pros and cons of AI in this sector, focusing on how AI technologies such as fully automated verification, on-spot quantification tools, live chat interactions, and dynamic project scheduling can revolutionize project management. AI enhances decision-making by providing real-time data analysis and predictive analytics, and it significantly improves the knowledge base of engineers and stakeholders through instant access to information and real-time data. A comparative analysis between conventional and AI-powered review methods highlights the increased efficiency, accuracy, and reliability offered by AI. The case study of Palantir Foundry demonstrates substantial improvements in project efficiency, cost-effectiveness, and overall success through AI solutions. However, the implementation of AI also presents challenges such as high initial costs, complexity, and dependence on technology. The paper concludes with a discussion on the future outlook of AI in the oil and gas project management sector, emphasizing ongoing advancements and the potential for broader adoption. Keywords: Artificial Intelligence (AI), gas project management sector, transforming traditional practices, AI technologies. Title: THE INTEGRATION OF ARTIFICIAL INTELLIGENCE IN THE OIL AND GAS PROJECT MANAGEMENT SECTOR Author: Ali F. AlShehab, Mustafa S. AlSaigh International Journal of Management and Commerce Innovations ISSN 2348-7585 (Online) Vol. 12, Issue 1, April 2024 - September 2024 Page No: 196-199 Research Publish Journals Website: www.researchpublish.com Published Date: 21-August-2024 DOI: https://doi.org/10.5281/zenodo.13355390 Paper Download Link (Source) https://www.researchpublish.com/papers/the-integration-of-artificial-intelligence-in-the-oil-and-gas-project-management-sector
Authors: Ali F. AlShehab, Mustafa S. AlSaigh
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6949422955
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