Job Description:
About The Company:AIQ is an Abu Dhabi-based technology company that develops and deploys industrial artificial intelligence (AI) technologies at scale, focused on the energy sector. As a venture between Presight (G42) and ADNOC, AIQ has productized 15 AI-enabled solutions that support clients to perform better, protect teams and equipment, keep operations sustainable, and rapidly scale successes. The organization embraces an innovative and entrepreneurial spirit, looking to push boundaries and solve transformational challenges across industry.
It welcomes professionals that share the desire to make meaningful and impactful contributions to the mission to deliver responsible AI to the heart of industrial processes. Always on the forefront of technology, AIQ provides its talent with an environment to thrive and excel. Working at AIQ includes participating in some of the most significant industrial transformation projects, interacting with massive data pools, utilizing sophisticated AI infrastructure that is powered by a NVIDIA GPU cloud computing platform, and access to abundant computing, storage, and network resources made available from across the G42 ecosystem.
Job Title:
Senior Specialist - Production Engineer (Petroleum SME)
Artificial Lift and Autonomous Well Operations
AIQ Production Domain | Principal individual contributor
Location:
Abu Dhabi |
Reports to:
Christophe Van Laer
AIQ is building software and AI products for well surveillance, artificial-lift optimisation and autonomous production. We are seeking a petroleum production engineer who has improved the performance of real wells and can translate that experience into reliable digital products. You will provide the engineering leadership for electric submersible pump (ESP), gas-lift and naturally flowing well workflows, working with software engineers, AI scientists and controls specialists to progress from diagnosis and recommendations to validated closed-loop operation.
Responsibilities:- Define surveillance and optimisation workflows for ESP wells, including pump selection and operating range, intake conditions, free gas, motor loading and temperature, vibration, variable-speed drive settings and failure diagnosis.
- Develop gas-lift and naturally flowing well workflows covering injection performance, valve behaviour, unloading and instability, choke response and network back pressure. Evaluate well settings within shared gas-supply and facility constraints.
- Build, calibrate and challenge well-performance models using nodal analysis, inflow and outflow relationships, fluid properties and equipment data. Partner with the PTA SME to separate reservoir or skin changes from lift, wellbore and measurement effects.
- Define engineering requirements for virtual flow metering, sensor validation, anomaly detection and equipment-health models. Specify reference measurements, uncertainty, alarm usefulness and the conditions that require engineering review.
- Translate operating practices into decision logic for start-up, shutdown, recovery and optimisation. Work with controls and operational-technology specialists on operating envelopes, permissives, setpoint and ramp limits, fallback behaviour and operator override.
- Lead engineering validation from historical replay and simulation through advisory pilots to supervised closed-loop trials. Define acceptance criteria for degraded sensors, communications loss and unfamiliar operating conditions, alongside normal performance.
- Support field trials, investigate failures and measure production, energy and reliability outcomes against credible baselines. Convert lessons into reusable requirements, benchmark cases and operator guidance, and support customer adoption and technical demonstrations.
Essential experience
- Degree in Petroleum Engineering, or a related engineering degree with substantial petroleum production engineering experience. Typically 12 or more years of relevant experience, including recent hands-on work with producing wells.
- Deep ESP engineering expertise demonstrated through selection, diagnosis, optimisation and operational troubleshooting. Substantive gas-lift operating or optimisation experience is also required, with the ability to diagnose performance beyond a single equipment vendor.
- Strong well-performance and nodal-analysis capability, including fluid properties, multiphase flow, inflow and outflow relationships and the interaction between reservoir deliverability and…
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