LISA – REPURPOSING OFFSHORE OIL PLATFORMS

A SYSTEMIC ARCHITECTURAL MODEL FOR ENVIRONMENTAL DATA ANALYSIS AND SUSTAINABILITY

My thesis focuses on the sustainable repurposing of offshore oil platforms in Italy, transitioning these decommissioned industrial structures into innovative hubs for environmental data analysis and sustainability research. The core concept revolves around LISA (Laboratorio Innovativo per la Sostenibilità Ambientale), a facility designed to analyze environmental conditions and develop predictive models for future ecological changes.

The project addresses the significant challenges posed by offshore decommissioning, offering a systematic architectural model that can be adapted to various platforms across different regions. By identifying both fixed and variable elements, the model allows for flexible reconversion with minimal structural modifications, enabling the efficient repurposing of platforms for new uses.

LISA is envisioned as an energy self-sufficient facility, harnessing renewable energy sources such as solar, wind, and wave power. The project incorporates advanced technologies for environmental monitoring and data collection. Additionally, the exterior is designed with a “smart skin” integrated with photovoltaic panels, LED matrices, and sensors to capture and analyze environmental data in real-time.

Key objectives of the project include:

• Sustainability: Reducing the environmental footprint of decommissioned platforms.

• Adaptability: Ensuring flexible use of the platforms with minimal changes.

• Multifunctionality: Transforming platforms into centers for scientific research, renewable energy generation, and technological innovation.

• Future-proofing: Designing facilities that remain relevant and functional for decades to come.

The LISA project represents a forward-thinking solution that not only mitigates the environmental and economic impacts of decommissioning but also repositions offshore platforms as valuable resources for scientific advancement and sustainability initiatives. This thesis aims to contribute a replicable, scalable model that could be applied globally to turn decommissioned platforms into essential tools for environmental research and data-driven decision making.

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The thesis boards are currently undergoing translation and will be published in English shortly.