Home
World Journal of Advanced Research and Reviews
International Journal with High Impact Factor for fast publication of Research and Review articles

Main navigation

  • Home
    • Journal Information
    • Editorial Board Members
    • Reviewer Panel
    • Abstracting and Indexing
    • Journal Policies
    • Our CrossMark Policy
    • Publication Ethics
    • Issue in Progress
    • Current Issue
    • Past Issues
    • Instructions for Authors
    • Article processing fee
    • Track Manuscript Status
    • Get Publication Certificate
    • Join Editorial Board
    • Join Reviewer Panel
  • Contact us
  • Downloads

eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

AI and the future of contract management in the oil and gas sector

Breadcrumb

  • Home
  • AI and the future of contract management in the oil and gas sector

Onoriode Reginald Aziza 1, *, Ngozi Samuel Uzougbo 2 and Munachi Chikodili Ugwu 3

1 Independent Researcher, Lagos Nigeria.
2 Independent Researcher; Columbus Ohio, USA.
3 Energy and Environmental law and policy, Georgetown University law center Washington DC, United States of America.
 
Review Article
World Journal of Advanced Research and Reviews, 2023, 19(03), 1571-1581
Article DOI: 10.30574/wjarr.2023.19.3.1424
DOI url: https://doi.org/10.30574/wjarr.2023.19.3.1424
 
Received on 21 August 2023; revised on 25 September 2023; accepted on 29 September 2023
 
The integration of Artificial Intelligence (AI) into contract management within the oil and gas sector represents a transformative shift, promising significant enhancements in efficiency, accuracy, and strategic decision-making. AI technologies, including machine learning and natural language processing, offer advanced capabilities for automating contract lifecycle processes, from drafting and negotiation to compliance and performance monitoring. These innovations reduce human error, expedite contract execution, and ensure adherence to regulatory standards. Moreover, AI-driven analytics provide deep insights into contract data, enabling predictive maintenance, risk assessment, and cost optimization. This evolution facilitates proactive management and fosters more strategic partnerships. The oil and gas industry, characterized by its complex, high-value contracts and stringent regulatory environment, stands to benefit immensely from AI's ability to streamline operations and mitigate risks. However, the adoption of AI in contract management also presents challenges, including the need for robust data governance, cybersecurity measures, and the upskilling of personnel to work alongside AI systems. Addressing these issues is crucial to fully harnessing the potential of AI. This abstract explores the current applications and future prospects of AI in contract management, emphasizing its role in driving operational excellence and competitive advantage in the oil and gas sector. As the industry navigates the digital transformation journey, AI emerges as a pivotal tool in enhancing contract management efficacy, ultimately contributing to more resilient and agile business operations.
 
Artificial intelligence; Contract Management; Oil and Gas Sector
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2023-1424.pdf

Preview Article PDF

Onoriode Reginald Aziza, Ngozi Samuel Uzougbo and Munachi Chikodili Ugwu. AI and the future of contract management in the oil and gas sector. World Journal of Advanced Research and Reviews, 2023, 19(3), 1571-1581. Article DOI: https://doi.org/10.30574/wjarr.2023.19.3.1424

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.

Get Certificates

Get Publication Certificate

Download LoA

Check Corssref DOI details

Issue details

Issue Cover Page

Editorial Board

Table of content

Copyright © 2026 World Journal of Advanced Research and Reviews - All rights reserved

Developed & Designed by VS Infosolution