Innovation showcase: Integrated E&P data management, visualisation and analytics

Unlocking the full potential of data in oil and gas exploration is no small feat. The immense volume of geoscience datasets—ranging from seismic surveys to core analysis, production data, and more—comes with varying resolutions, formats, and confidence levels, making integration a major challenge.

This session introduces cutting-edge technology that streamlines the management, fusion, and visualisation of these datasets. By leveraging a web-based "data lake" architecture, it enables seamless 3D modelling of tens of millions of cells, real-time visualisation of drilling and production data, and standardised display of logs and geological maps.

This solution frees scientists and engineers from the burdens of manual data migration and quality checks, accelerating the process of building data models for machine learning and enhancing decision-making.

Innovation showcase: Physics + AI powered framework for reservoir characterisation and forecast

This session introduces a physics-informed, AI-driven framework, for reservoir characterisation and forecasting, aimed at improving operational efficiency in reservoir engineering. The application integrates multi-source data analytics and automates sample construction with commercial standard data platform. Leveraging multi-source data analytics and over 30 machine learning algorithms, the platform automates data processing for tasks like classification, clustering, and regression. State-of-the-art techniques, including deep neural networks and transformer models, create surrogate simulations, optimise parameters, and enhance predictions using the Bayesian Evidential Learning (BEL) framework. The framework’s smart reservoir agent integrates expert knowledge and automates commercial algorithms, enabling real-time decision-making, dynamic forecasting, and precise sweet spot identification. This comprehensive system streamlines reservoir management and enhances operational outcomes.