Using Data to Drive Energy Transition

AIQ provides custom AI Solutions for the Upstream, Downstream and broader Energy sector to develop their resources more efficiently and operate their assets with the highest level of safety standards. Whether delivered as webapps, as part of edge infrastructure or embedded in client’s existing software, AIQ’s modular solutions are adaptable to a wide range of cloud and operating system environments.

From Exploration to Abandonment, Upstream to Downstream, Energy management to HSE, the Oil & Gas industry produces a tantalizing amount of static and dynamic real-time data with data sources as wide as in-situ fiber optics, 4D seismic, daily drilling reports or production-related operations. Because 50% of the petro-technical personnel’s time is often spent on data collection only, AIQ’s Cloud capabilities combined with its in-house Data Platform E-Novus®, enable organizations to fast-track data ingestion and quality control by leveraging the latest advances in Cloud-based Big Data engineering, Data Science, DevOps, and Cybersecurity management. Empowered to handle an ever-growing amount of digital information, big data analytics unlock otherwise-unexploited insights from mass instrumentation, consequently providing O&G companies with a vital tool to achieve sound and traceable decisions and support their long-term business strategy.

AIQ Cloud’s architecture has been designed in a way that the latter can grow or shrink resources dynamically as needed to adapt to workload changes in an autonomous manner, maximizing the use of resources. In other words, AIQ’s Cloud provides the ability to quickly expand or decrease computer processing, memory, and storage resources to meet changing demands without the multiple concurrent end-users and clients worrying about capacity planning and engineering for peak usage.

AIQ’s Elastic Cloud services (ECS) include, but not limited to hardware, software, QoS and other policies, connectivity, and other resources that are used in elastic applications. Executed properly, capitalizing on elasticity results in sizeable savings in infrastructure costs overall without compromising on computational performance and user experience.

Building on a strong network of industry and academic partners such as Mohamed bin Zayed University of AI, Inception Institute of AI as well as Khalifa University, AIQ relentlessly strives to infuse its customized AI Solutions with the latest algorithms in the field of Machine Learning as well as publish its findings and methods in top AI and Energy conferences such as CVPR or ADIPEC.

Most oil and gas companies realize the need to transform to achieve profitability and stay relevant during and after the energy transition. Yet, many still struggle to understand what transformation will mean to their business.

Focusing on AI projects with demonstrable high-ROI, low operational complexity and high scalability potential, AIQ helps its clients to leverage its Cloud and Platform capabilities to gradually optimize, upgrade and reinvent their core business areas and operating models.