OPERATIONS & MAINTENANCE
INTELLIGENT APPROACH
Nick King on improving oil & gas exploration processes and profitability through applied AI
A
pplied AI stands at the forefront of technological innovation, holding transformative potential
across various industries. In the realm of oil and gas, AI emerges as a powerful tool, promising enhanced exploration processes, operational efficiency, and profitability. However, navigating the integration of this transformative technology presents its challenges, requiring a strategic approach to unlock its full potential.
STRATEGIC FOCUS ON OUTCOMES Embarking on the journey of AI integration in the oil and gas sector necessitates a meticulously strategic approach, where the roadmap is clearly defined by prioritising outcomes. The initial phase involves a profound focus on mapping desired business outcomes. This requires a comprehensive understanding of the objectives that the integration aims to achieve, ensuring that the AI initiatives are precisely aligned with the business goals and operational enhancements sought.
Following the outcome mapping,
the focus should shift towards alignment with team workflows and expertise. It is essential to ensure the AI technologies integrated are in harmony with existing workflows, enhancing rather than disrupting operational processes. Collaboration becomes key in this phase, requiring a synergy of expertise, knowledge, and skills among internal teams, ensuring that the AI technologies are seamlessly woven into the organisational fabric, leveraging the collective expertise to drive innovation and efficiency. Technical alignment is crucial.
The chosen technologies should not only be robust and innovative but also synergistic with the mapped outcomes and organisational workflows. This involves selecting technologies that resonate with the business’s strategic objectives, ensuring that they augment the existing technological ecosystem, driving enhanced capabilities, and fostering a conducive environment for innovation and growth.
A recent EY survey found more than 92% of companies are either currently investing in AI or plan to in the next two years
EMBRACING DECLARATIVE AI The adoption of ‘declarative AI’ models is pivotal in navigating the complexities of AI integration and application in the oil and gas sector. Declarative AI represents a paradigm where the focus is on specifying the ‘what’ rather than the ‘how’. In simpler terms, it involves declaring the desired outcomes, and the system autonomously determines the best approach to achieve those outcomes. These models are grounded in
preconfigured capabilities, enabling them to autonomously orchestrate tasks to achieve specific objectives without necessitating explicit, step- by-step instructions. This approach fosters a more intuitive and efficient development process, allowing for the rapid composition and deployment of applied AI applications. Declarative AI streamlines the
AI has the potential to unlock efficiencies across the oil and gas value chain 18
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application development process, reducing time-to-market, and allowing teams to concentrate more on strategic, outcome-focused aspects of projects. It facilitates a more agile and adaptive application development process, enabling the oil and gas industry to swiftly respond to evolving demands and challenges with innovative AI- driven solutions. In the dynamic landscape of oil and gas exploration and production,
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