The normal exploration strategy in oil and fuel sector is dear, dangerous, and vulnerable to errors, because it closely depends on human fieldwork. Even drilling dry holes hit oil and fuel firms the place it hurts – their wallets. The funding poured into geological evaluation, drilling and testing goes up in smoke when the nicely doesn’t ship. Synthetic intelligence (AI) reduces the chance of such pricey surprises and Oil and Pure Gasoline Company (ONGC) is displaying the best way ahead. This state-owned enterprise, which produces almost 68% of indigenous crude oil and 54% of nation’s fuel manufacturing, has made considered use of AI applied sciences, similar to machine studying and knowledge analytics, thereby enhancing the accuracy of exploration predictions and useful resource estimation.
ONGC has deployed AI/ML strategies at its Gandhar oil subject, Cambay basin, close to Bharuch city in Gujarat, to boost its explorative and operational effectivity. “The mission is top-down reservoir modelling within the GS-3A sand of the Gandhar oil subject,” stated Arun Kumar Singh, chairman & CEO, ONGC. This subject has been in manufacturing for over 35 years and has a posh historical past involving oil, fuel, water, and water injection. The mission leveraged spatio-temporal studying, a machine-learning algorithm designed for fluid circulation via porous media.
“Utilizing the neural networks strategies and mannequin coaching, 98% accuracy in historical past matching and manufacturing forecasting might be achieved. The AI-driven workflow additionally recognized a brand new infill improvement nicely; the placement was drilled to extract remaining oil and improve restoration from the sphere,” Singh stated. Comparable top-down reservoir modelling is deliberate for Heera subject in western offshore of ONGC, indicating the potential for broader utility of this AI-driven strategy.
The ONGC chairman stated the mixing of AI within the oil and fuel upstream business has emerged as an enormous enabler. AI applied sciences, similar to machine studying and knowledge analytics, have enabled firms to extract priceless insights from huge datasets, optimise processes, and improve decision-making. Throughout the exploratory part, AI could assist facilitate superior seismic interpretation and reservoir modelling, enhancing the accuracy of exploration predictions and useful resource estimation. Good drilling programs powered by AI could improve drilling effectivity, scale back downtime, and optimise nicely efficiency via real-time knowledge evaluation throughout drilling operations. AI algorithms can analyse manufacturing knowledge to determine patterns, predict tools failures, and optimise manufacturing processes, finally maximising output through the manufacturing part.
ONGC has launched into an bold digital transformation journey, aiming to remodel its processes and workforce skillset whereas inducting the most recent know-how to create an built-in and clever digital oil subject ecosystem. In alignment with the lately launched Undertaking DOT (Digitalisation for Organisational Transformation) initiatives, the PSU behemoth is working to boost transparency by integrating data-driven insights into enterprise features. The main focus areas embrace optimising useful resource restoration and subject efficiency, enhancing the analysis and approval of improvement schemes, accelerating asset monetisation via AI-based analytics, enhancing asset efficiency and operational effectivity, streamlining offshore logistics operations for higher useful resource utilisation, and facilitating the transition to renewable vitality sources.
Undertaking DOT is a daring initiative impacting each exercise of an exploration & manufacturing (E&P) firm, underscoring ONGC’s dedication to leveraging digital applied sciences for enhanced effectivity, productiveness, transparency, and decision-making capabilities, whereas embracing sustainability. Furthermore, the subsequent wave of AI will unlock important alternatives, from predictive upkeep to autonomous drilling operations via these initiatives. “By means of these initiatives, ONGC goals to attain bold targets similar to greater exploration success, decreased discovery-to-development timelines, and decrease working prices,” Singh pressured.
Moreover, ONGC has recognized a number of AI and analytics use instances throughout varied domains. Whereas many options, such because the enterprise-wide dashboard DARPAN, HR, and healthcare purposes, have been delivered, others together with AI-based automated seismic hint enhancing for exploration, AI-driven chatbots for processes, clever manufacturing dashboards, predictive upkeep of important tools, and competency mapping of workers are in improvement.
Trying forward, ONGC is ready to speed up AI and ML investments over the subsequent 3-4 years. As Singh summarised: “ONGC’s imaginative and prescient is evident – to steer the vitality sector’s AI revolution, creating an information & AI-driven enterprise that’s smarter, quicker, and extra agile than ever earlier than.”
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