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Safe & Green Holdings Subsidiary Olenox Completes AI Wellsite Monitoring System Phase 1

By FisherVista

TL;DR

Safe & Green Holdings' AI monitoring system reduces lifting costs and optimizes production, giving oil operators a competitive edge through operational efficiency.

The system uses Machfu gateway and proprietary algorithms to adjust pumpjack operations based on water-cut levels for real-time bi-directional monitoring and control.

This technology reduces energy consumption and site visits, creating safer operations while extending equipment life for more sustainable resource extraction practices.

Shareholders can monitor real-time results via a read-only webpage as Phase 2 deploys the intelligent wellsite monitoring system across production pads.

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Safe & Green Holdings Subsidiary Olenox Completes AI Wellsite Monitoring System Phase 1

Safe & Green Holdings Corp. (NASDAQ: SGBX) has announced that its wholly owned subsidiary Olenox Corp. has completed Phase 1 development of an intelligent wellsite monitoring system powered by the company's Machfu gateway technology. This AI-driven platform represents a significant advancement in oil field operations by enabling real-time, bi-directional monitoring and control capabilities that directly address key industry challenges.

The system's implementation carries substantial implications for operational efficiency and environmental sustainability in the energy sector. By utilizing a proprietary algorithm that adjusts pumpjack operations based on water-cut levels, the technology can reduce lifting costs, minimize site visits, decrease energy consumption, and optimize production output. These improvements translate to both economic benefits for operators and reduced environmental footprint through more efficient resource utilization.

The technology's ability to extend equipment life through optimized operations represents another critical advantage for an industry facing increasing pressure to improve asset management and reduce capital expenditures. The system's real-time monitoring capabilities allow for proactive maintenance and operational adjustments that can prevent equipment failures and reduce downtime, ultimately contributing to more stable and predictable production cycles.

Phase 2 of the deployment will involve full implementation at an Olenox production pad, with shareholders gaining access to real-time results through a read-only webpage. This transparency initiative demonstrates the company's commitment to stakeholder engagement while providing tangible evidence of the system's performance metrics. The broader industry implications extend beyond immediate operational improvements, potentially setting new standards for digital transformation in oil field management.

For investors and industry observers, the latest developments and updates relating to SGBX are available through the company's dedicated newsroom at https://nnw.fm/SGBX. The completion of Phase 1 marks a significant milestone in the commercialization pathway for this technology, with potential applications across multiple production sites and geographic regions. As the energy sector continues to face pressure to improve efficiency and reduce environmental impact, technologies like Olenox's AI monitoring system represent important steps toward more sustainable and cost-effective operations.

The system's development aligns with broader industry trends toward digitalization and automation in energy production. By leveraging artificial intelligence for real-time optimization, the technology addresses fundamental challenges in conventional oil production methods while providing a scalable solution that could be adapted to various operational environments. The successful implementation of Phase 2 will be crucial in demonstrating the system's practical benefits and commercial viability to potential adopters across the energy sector.

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FisherVista

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