Green AMDM: A Sustainable Asset Master Data Framework for Minimizing Redundant Data in a Carbon-Conscious Oil and Gas Industry

Author(s)	Mr. SWAMINATHAN RAJENDRAN
Country	India
Abstract	Enterprise Resource Planning (ERP) systems are essential in the oil and gas sector when managing complex and asset-heavy operations. Yet, inefficient Asset Master Data Management (AMDM), characterized by duplicated, inconsistent, and outdated records, limits business efficiency and undermines ESG reporting and carbon accountability. This article addresses these issues by proposing a Green AMDM model that integrates governance systems, sustainable practices, and fuzzy logic–based duplication identification and ESG score valuation. The mixed-method evaluation, using semi-structured interviews, structured complementary surveys, and an in-depth case study of PetroChina Southwest Oil and Gas Field (Block A), demonstrated the efficacy of the framework. The study shows that the proposed framework improves governance quality, removes duplicated asset data, improves the reliability of ESG reporting, and supports more precise CO2 tracking. The study integrates research and practical contributions by proposing a sustainable and AMDM model that is state-driven, scalable and adaptable across industries with significant assets.
Keywords	Asset Master Data, ERP, Fuzzy Logic, ESG Reporting, Oil and Gas, Data Governance, Sustainability
Field	Engineering
Published In	Volume 7, Issue 5, September-October 2025
Published On	2025-09-16
DOI	https://doi.org/10.36948/ijfmr.2025.v07i05.55903

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijfmr.com

International Journal For Multidisciplinary Research