Simulation expertise
Specialist modelling and simulation workflows for technical systems with complex interactions, constraints and uncertainty.
SIMULEX applies expert simulation, modelling and decision support to complex systems of global relevance, where clarity, reliability and technical depth matter.
Our first flagship platform is NZEMS, created for clean energy transition studies involving hydrogen, CCUS, geothermal, renewables, storage, industrial energy systems, surface-facility networks and subsurface resources.
SIMULEX applies expert simulation, modelling and decision support to complex systems where decisions depend on sound engineering judgement, transparent assumptions and reliable technical evidence.
We help partners evaluate system behaviour, compare scenarios, validate assumptions and understand surface-facility interactions before major commitments are made.
Specialist modelling and simulation workflows for technical systems with complex interactions, constraints and uncertainty.
Structured analysis to compare pathways, test assumptions, evaluate trade-offs and support robust technical decisions.
Independent review and validation of modelling assumptions, simulation workflows, engineering methods and project evidence.
SIMULEX combines modelling discipline, numerical understanding, technical validation and practical decision usefulness.
NZEMS is the first flagship platform from SIMULEX, applying this expertise to integrated net-zero energy systems.
NZEMS is an integrated modelling and decision-support platform being developed by SIMULEX for clean-energy and multi-energy systems.
NZEMS is being developed to model coupled subsurface–surface energy systems, integrating reservoir behaviour, wells, surface facilities, storage, networks and demand within a coherent simulation and decision-support workflow.
Connect reservoirs, wells, underground storage and geological systems with surface assets, networks, demand and economics.
Represent hydrogen, CCUS, geothermal, renewables, storage, heat, power, industrial systems and surface-facility interactions.
Compare system configurations, assess constraints, balance energy flows and support design choices under uncertainty.
Generate clearer technical evidence for feasibility studies, grant proposals, pilot projects and strategic energy-system decisions.
Our first NZEMS prototype focuses on Green Hydrogen Energy System Optimisation, including quantum optimisation for electrolyser allocation through the Quantum Technology Access Programme in partnership with Digital Catapult, ORCA Computing, Q-CTRL and Riverlane.
This work supports the development of future workflows for hydrogen feasibility studies, renewable-power balancing, electrolyser allocation, storage assessment and techno-economic optimisation.
NZEMS supports clean-energy opportunities where technologies, surface facilities, subsurface resources, storage, demand and economics must be evaluated together.
Evaluation of hydrogen production, storage, transport, demand, electrolyser allocation, system balancing and techno-economic performance.
Assessment of CO₂ capture, transport, injection, geological storage, utilisation pathways and industrial carbon-management systems.
Integrated evaluation of geothermal resources, wells, heat extraction, power generation, surface integration and project economics.
Feasibility support for underground hydrogen storage, geological CO₂ storage, storage capacity, injection, withdrawal and network integration.
Scenario analysis for renewable power, energy storage, grid interaction, hydrogen production, industrial demand and surface-facility and system constraints.
Modelling for industrial decarbonisation, heating and cooling, regional energy systems, active buildings and net-zero energy-system planning.
SIMULEX provides specialist modelling, simulation and decision-support services for partners developing clean-energy, subsurface, industrial and surface-facility and energy-system projects.
Our work supports feasibility assessment, grant and consortium evidence, pilot design, technology validation and strategic technical decisions.
SIMULEX seeks trusted partnerships with universities, research organisations, public institutions, industrial clusters, technology developers and energy companies working on complex systems and the practical delivery of the clean energy transition.
We contribute as a technology developer, solution provider, modelling partner, validation partner or specialist technical contributor in grant-funded and client-led projects.
Explore partnership opportunitiesCollaborate on applied modelling, optimisation, simulation methods, energy systems, subsurface systems and validation frameworks with clear research and delivery value.
Support scenario evaluation, surface-facility and energy-system planning, system resilience, decarbonisation pathways and evidence-based decision-making.
Assess feasibility, system interactions, technical risks and development pathways before committing to major project decisions.
Build credible technical evidence for integration, validation, demonstration, grant proposals and commercial readiness.
SIMULEX is led by a founding technical team with deep expertise in chemical engineering, petroleum engineering, physics, computer science, reservoir simulation, numerical modelling and real-field subsurface systems.
The team brings complementary experience across the validation of benchmark reservoir simulation technologies, the development of advanced simulator capabilities, and the construction of complex predictive models from real field and history-match data.
Chemical Engineer with a PhD in Petroleum Engineering and 15 years of experience across reservoir engineering, reservoir simulation, thermodynamics, phase behaviour, heavy oil, CCS, geothermal systems, hydrogen subsurface applications and integrated surface-subsurface energy systems.
She has specialist experience in the technical and commercial validation of benchmark reservoir simulators, including workflows and capabilities used by reservoir engineers on complex field-development studies.
Her combined formation as a Chemical Engineer and Reservoir Engineer gives her a rare technical position to understand both surface facilities and subsurface systems, and to couple the physics that governs their interaction.
PhD in Physics with more than 25 years of experience in scientific computing, numerical methods and advanced simulator development.
He brings deep expertise in the development of benchmark reservoir simulators, solver behaviour, simulator architecture, rigorous computational methods and scalable technical software.
MSc-level expertise in Computer Science and Petroleum Engineering, with 18 years of experience in reservoir simulation, numerical modelling and real-field subsurface modelling.
His work includes building complex real-world reservoir models using field data, history-matching workflows and benchmark simulators to support predictive reservoir studies. He has also contributed as a university professor and industry trainer, bringing clarity and discipline to advanced reservoir engineering, simulation and numerical modelling workflows.
Together, the team combines three technical strengths: validation of world-class reservoir simulation technologies, development of advanced simulator capabilities, and construction of complex predictive models from real subsurface data.
This foundation gives SIMULEX a rare combination of engineering depth, numerical discipline and practical modelling experience for complex systems where reliability, technical clarity and decision quality matter.
Contact SIMULEX to discuss modelling, simulation, technical validation, NZEMS, clean-energy projects, grant consortia, research collaboration or high-impact simulation challenges.