Digital transformation in the energy industry lets you anticipate and accelerate cost-effective decisions on sustainable, circular, and new energy processes.
MATLAB and Simulink support digital transformation in energy, power, and utility segments with data science, data engineering, high-power computing, and app customization in areas such as:
- Process Modeling and Simulation
Subsurface Geosciences | Subsurface Engineering | Dynamic Simulation | Multi-Physics Modeling | Dynamic Workflows - Process Optimization and Automation
Digital Twins | Electrification | Predictive Maintenance - Data Science
Machine Learning | Deep Learning | Reinforcement Learning | Code Generation - Image Science
Computer Vision | Image Processing | Signal Processing | Communications - High-Power Computing
Parallel and GPU Computing | Cloud Computing | Quantum Computing
“Accurate modeling is essential not only for planning investments but also to detect situations that can cause an outage. With MathWorks tools, we can simulate power electronics, mechanics, and control systems in one environment, and our models respond like the turbines we have in the field.”
Richard Gagnon, Hydro-Québec
Energy Production
You can use MATLAB and Simulink for digital transformation in process modeling, simulation, optimization, and automation, with more than 100 products developed to meet data science and engineering requirements.
Energy Resources
MATLAB and Simulink are used in organizations and institutions that focus on energy resource exploration, development, and production of fluid and solid chemicals, derivatives, and new sources. With MATLAB and Simulink, you can customize upstream and downstream energy processes at the subsurface, oilfield, or plant level. These products let you prototype key asset processes comprising energy transition or circular economy targets to meet their sustainability goals profitably and effectively. They also let you make informed decisions, optimize production performance, and maximize returns on investment.
Utilities and Energy
MATLAB and Simulink are used in organizations and institutions that focus on power generation, transmission, and distribution. Using MATLAB and Simulink, you can customize and prototype your digital transformation across power generation, transmission, and distribution processes to support energy transition or electrification targets and meet sustainability goals profitably and effectively. You can also adapt and scale up your digital transformation to meet decentralization and net-zero targets, expand your research and development outreach, or enhance your trading and risk management capabilities. MATLAB and Simulink are designed to help you make informed decisions, optimize business performance, and maximize returns on investment.
Customer Stories
Energy Resources
Using a Digital Twin to Predict the Real-Time Performance of a Drilling Rig
Energy Resources
Sinopec Develops High Accuracy Intelligent Seismic Inversion with Deep Learning
Utilities and Energy