Panoro Energy, an independent operator focused on maximizing the value of mature oil and gas fields, faced the industry-wide challenge of declining production and escalating operational costs. With assets in Tunisia, Equatorial Guinea, and Gabon, Pandoro sought a strategic solution to optimize production, minimize downtime, and extend the economic life of its aging fields. Traditional methods, reliant on historical data and manual adjustments, were proving increasingly inadequate to meet these goals. Panoro recognized the need for a transformative approach that leveraged the power of data and artificial intelligence. Still, they required a partner who could deliver a tailored solution, not a generic, off-the-shelf product.

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Solution: a collaborative journey of innovation with dakAI

Panoro Energy partnered with dakAIi, a boutique consulting and AI-powered solution developer, to embark on a journey of innovation. Rather than imposing a pre-fabricated platform, dakAI engaged in a thorough, collaborative process with Panoro's operations team, gaining a deep understanding of their specific challenges, assets, and objectives. This partnership led to a phased approach, carefully designed to deliver quick returns and establish a foundation for long-term value:

• ‍Phase 1 - Intelligent Data Acquisition: dakAIi collaborated with Panoro to strategically deploy a network of advanced IoT sensors on critical equipment, such as electrical submersible pumps and gas compressors. This targeted approach concentrated on capturing the most valuable data streams, including vibration, pressure, temperature, and flow rates, offering real-time insight into asset performance.
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• Phase 2 - Bespoke AI Development: This phase represented the core of the co-creation process. dakAIi's data scientists, collaborating closely with Panoro's engineers, developed custom machine learning models specifically trained on Panoro's unique operational data. These sophisticated algorithms, which use advanced techniques, were designed to achieve two primary goals: accurately predict equipment failures and provide real-time recommendations for optimizing well parameters to maximize production. The models were carefully crafted to reflect the specific geological characteristics, production history, and operational constraints of Panoro's fields.
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• Phase 3 - Empowered Operations and Continuous Learning: The final phase involved deploying a custom-built, cloud-based platform that seamlessly integrated the AI models with Panoro's operations. This platform delivers prioritized alerts to maintenance teams, enabling proactive interventions that prevent costly downtime. It also provides operators with intuitive dashboards that visualize real-time data, AI-driven predictions, and clear, actionable recommendations for optimizing well settings. Furthermore, the platform is designed for continuous learning, as the AI models are regularly retrained using new data to ensure sustained accuracy and adaptability to evolving field conditions.

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