Oil & Gas
Helping oil, gas and energy organisations turn generative and agentic AI into safer operations, lower emissions and real production value.
We help oil and gas companies move AI from proof-of-concept to production. From generative AI copilots for engineers to agentic systems that monitor assets and act on their own, we combine deep operational know-how with modern AI to make operations safer, cut carbon, and unlock more value from every barrel and every asset.
AI Use Cases for Energy Industry
Capital Projects
AI for capital projects: predictive models spot schedule and cost overruns early, and generative AI accelerates document review, contracts and reporting so major projects deliver on time and on budget.
Global Gas
AI-driven subsurface and reservoir modelling: machine learning interprets seismic and well data to improve exploration success, optimise drilling and boost recovery from mature and unconventional fields.
Unconventionals
AI for emissions and sustainability: models track and forecast Scope 1–3 emissions, detect methane leaks from sensor and satellite data, and optimise energy use to hit decarbonisation and ESG targets.
Digital & Advacned Analytics
Advanced analytics and forecasting: AI models predict demand, prices and equipment behaviour, and turn scattered operational data into clear, real-time decisions across the value chain.
Organisation
Agentic AI for operations: autonomous agents monitor production, procurement and maintenance data in real time, flag anomalies and trigger the right action — backed by a clean, migrated ERP data foundation.
Downstream
Generative AI in downstream and refining: copilots turn manuals, sensor data and shift logs into instant answers for operators, while AI optimises yields, energy use and turnaround planning.
Strategy
AI strategy and value roadmap: we help leaders prioritise the highest-return AI use cases, build the data and governance foundations, and scale from pilot to enterprise impact — not just experiments.
AI FEATURED CAPABILITIES
Fuel and Emissions Management
Optimisation of fuel usage in drilling, transport and production operations across all industry sectors to minimise energy consumption and reduce emissions consistent with desired performance.
Product Quality Compliance
AI used to analyse products against standards like ISO, API, and ASTM to predict deviations to minimise waste and ensure production reliability.
Field Development Planning
Well number, placing, infill spacing design and drilling sequence recommendation based on optimisation across reservoir and other uncertainty parameters, and rapid assessment and screening of multiple development scenarios.
Predictive Maintenance
Prediction of equipment failure risk state and maintenance requirements based on continuous monitoring and assessment of current condition. Most commonly applied to rotating equipment, such as pumps and compressors, but also to anomalous conditions, such as fouling, vessel wall thickness and corrosion.
Crude Selection and Procurement
Real-time analysis of global crude oil market data, including quality price, and logistics costs to recommend, select, and secure optimal crude blends for current refinery footprint and configurations.
Portfolio Risk Monitoring
AI used to monitor portfolio risks considering operations, geological assessment, drilling optimisation, reservoir engineering, and field development.
FEATURED CAPABILITIES
Global Decarbonisation Hub
Accelerating the path to economic development and decarbonisation