DOCUMENT DIGITALIZATION IN OIL AND GAS INDUSTRY: TRANSFORMING LEGACY DATA WITH AI AND ML
Keywords:
Digital Transformation, Legacy Data Management, Artificial Intelligence, OSDU Integration, Operational EfficiencyAbstract
The oil and gas industry is undergoing a transformative shift through digital technologies, driven by market volatility and operational challenges. The traditional methods of managing vast amounts of subsurface data face significant obstacles, particularly in accessibility and utilization. This comprehensive article presents the evolution from legacy data systems to advanced digital platforms, highlighting the role of artificial intelligence and machine learning in revolutionizing data processing capabilities. The integration of Open Subsurface Data Universe (OSDU) platforms and standardized digital solutions has enabled organizations to enhance operational efficiency, improve decision-making processes, and optimize resource allocation. The transformation encompasses various aspects, from initial document digitization to sophisticated data analytics, demonstrating the industry's adaptation to modern technological requirements while preserving critical historical information.
References
U.S. Energy Information Administration, "Short-Term Energy Outlook," U.S. Department of Energy, 2024. [Online]. Available: https://www.eia.gov/outlooks/steo/pdf/steo_full.pdf
Anshu Mittal et al., "From bytes to barrels: The digital transformation in upstream oil and gas," Deloitte.com. [Online]. Available: https://www2.deloitte.com/content/dam/insights/us/articles/4151_From-bytes-to-barrels/DI_from-bytes-to-barrels.pdf
Chourouk Haouel and András Nemeslaki, "Digital Transformation in Oil and Gas Industry: Opportunities and Challenges," Periodica Polytechnica Social and Management Sciences 32(1), 2023. [Online]. Available: https://www.researchgate.net/publication/369056258_Digital_Transformation_in_Oil_and_Gas_Industry_Opportunities_and_Challenges
Mahdieh Zakizadeh, "Data Analysis and Management in the Oil & Gas Industry," Conference: International conference of new technologies in oil, gas and petrochemical engineering in IranAt: Tehran, Iran, 2024. [Online]. Available: https://www.researchgate.net/publication/382114347_Data_Analysis_and_Management_in_the_Oil_Gas_Industry
Salvador Carvalhosa et al., "Review of Digital Transformation in the Energy Sector: Assessing Maturity and Adoption Levels of Digital Services and Products via Fuzzy Logic,"IEEE Access PP(99):1-1, 2024. [Online]. Available: https://www.researchgate.net/publication/380121826_Review_of_digital_transformation_in_the_energy_sector_Assessing_maturity_and_adoption_levels_of_digital_services_and_products_via_fuzzy_logic
Andrew Dennis, "Digital Transformation of the Oil & Gas Industry (2025)," Whatfix, 2024. [Online]. Available: https://whatfix.com/blog/oil-gas-digital-transformation/
Zeeshan Tariq et al., "A systematic review of data science and machine learning applications to the oil and gas industry," Journal of Petroleum Exploration and Production Technology 11(4), 2021. [Online]. Available: https://www.researchgate.net/publication/354825428_A_systematic_review_of_data_science_and_machine_learning_applications_to_the_oil_and_gas_industry
David Chinalu Anaba et al., "Digital transformation in oil and gas production: Enhancing efficiency and reducing costs," International Journal of Management & Entrepreneurship Research 6(7):2153-2161, 2024. [Online]. Available: https://www.researchgate.net/publication/382054389_Digital_transformation_in_oil_and_gas_production_Enhancing_efficiency_and_reducing_costs
Sachin Patidar, "Challenges and Solutions while adopting OSDU in Oil & Gas Industries," International Journal For Multidisciplinary Research, Conference: International Journal For Multidisciplinary ResearchAt: Online JournalVolume: Volume 5, Issue 4, 2023. [Online]. Available: https://www.researchgate.net/publication/372824749_Challenges_and_Solutions_while_adopting_OSDU_in_Oil_Gas_Industries
Matellio, "Unlocking the Power of Big Data Analytics for Oil and Gas Operations," Matellio.com, 2025. [Online]. Available: https://www.matellio.com/blog/big-data-analytics-for-oil-and-gas/
