Geoinformatics and Smart Marine Asset Management: Technological Advancements, Economic Impact, Environmental Benefits, and Strategic Decision-Making in Africa's Oil & Gas Sector

The African oil and gas sector is undergoing a transformative evolution driven by geoinformatics and smart marine asset management. As offshore exploration and production increase, technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), Geographic Information Systems (GIS), and digital twins have emerged as pivotal tools for enhancing operational efficiency, economic viability, and environmental stewardship. This study investigates how these technologies collectively influence Africa’s upstream, midstream, and downstream oil and gas operations. The objectives of this research are to examine the technological advancements enabled by geoinformatics and smart asset systems, assess their economic contributions, evaluate their environmental impact, and understand their strategic role in investment and decision-making. The research questions include: How have AI and digital twins improved offshore drilling efficiency? What are the economic benefits of predictive maintenance and digital field technologies? In what ways do autonomous marine systems contribute to marine ecosystem preservation? A mixed-method approach was employed, combining secondary data from peer-reviewed publications, oil industry reports, and government documents, with thematic analysis techniques. Data were synthesized thematically around technological innovation, economic metrics, and sustainability indicators. Key findings reveal that digital twins and AI-driven predictive maintenance reduce operational costs by over 20% in some regions. Smart oil field platforms enhance data integration and decision-making, while autonomous systems support pollution monitoring and biodiversity conservation. Investment frameworks such as the CIPP model aid strategic planning across African oil basins. The study concludes that geoinformatics and smart marine asset technologies are vital for sustainable development in Africa's oil and gas sector. Their continued adoption promises long-term profitability, job creation, and environmental protection. Recommendations include increased investment in digital infrastructure, capacity building, and policy support to scale these technologies continent-wide.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-12
DOI
https://doi.org/10.5281/zenodo.15869221
Primary Topic
Musicology and Musical Analysis
Type
article
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article

Geoinformatics and Smart Marine Asset Management: Technological Advancements, Economic Impact, Environmental Benefits, and Strategic Decision-Making in Africa's Oil & Gas Sector

Zenodo (CERN European Organization for Nuclear Research)
Musicology and Musical Analysis
article

Geoinformatics and Smart Marine Asset Management: Technological Advancements, Economic Impact, Environmental Benefits, and Strategic Decision-Making in Africa's Oil & Gas Sector

article en

Abstract

The African oil and gas sector is undergoing a transformative evolution driven by geoinformatics and smart marine asset management. As offshore exploration and production increase, technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), Geographic Information Systems (GIS), and digital twins have emerged as pivotal tools for enhancing operational efficiency, economic viability, and environmental stewardship. This study investigates how these technologies collectively influence Africa’s upstream, midstream, and downstream oil and gas operations. The objectives of this research are to examine the technological advancements enabled by geoinformatics and smart asset systems, assess their economic contributions, evaluate their environmental impact, and understand their strategic role in investment and decision-making. The research questions include: How have AI and digital twins improved offshore drilling efficiency? What are the economic benefits of predictive maintenance and digital field technologies? In what ways do autonomous marine systems contribute to marine ecosystem preservation? A mixed-method approach was employed, combining secondary data from peer-reviewed publications, oil industry reports, and government documents, with thematic analysis techniques. Data were synthesized thematically around technological innovation, economic metrics, and sustainability indicators. Key findings reveal that digital twins and AI-driven predictive maintenance reduce operational costs by over 20% in some regions. Smart oil field platforms enhance data integration and decision-making, while autonomous systems support pollution monitoring and biodiversity conservation. Investment frameworks such as the CIPP model aid strategic planning across African oil basins. The study concludes that geoinformatics and smart marine asset technologies are vital for sustainable development in Africa's oil and gas sector. Their continued adoption promises long-term profitability, job creation, and environmental protection. Recommendations include increased investment in digital infrastructure, capacity building, and policy support to scale these technologies continent-wide.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 50%
Musicology and Musical Analysis
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