Digital Twin of Oil and Gas Fields
Timeline offers full and live visualization of the entire asset system including surface facilities and subsurface reservoirs. With comprehensive linkage to loT data, it captures the real-time status, refreshes the interpretation, makes fast predictions of system dynamics using underlying Al + physics simulation engines, and ultimately assists engineering decision making such as intelligent geosteering, fracturing optimization, and production controls at real time.
Timeline facilitates constructing a digital twin of oil and gas fields. Through a data-driven mechanism, the connected IoT data serves as trigger for automatic reservoir model evolution and subsequent decision making, guarantees a highly efficient, closed-loop data-model-prediction-decision symbiosis.
Full and Live Asset Visualization
- Initialized with up-to-data asset model as a whole
- Link to real-time surveillance data at wells, pipelines, reservoirs, stations, and platforms
- 3D Visualization switches among surface, subsurface, and “all in one” modes for onshore and offshore assets
AI + Physics based Prediction
- Built-in domain algorithms including RTA, material balance, decline curve analysis for rapid diagnosis
- Predictive analytics and risk alerts from AI models
- Real-time prediction of pressure, temperature, and flow states through super-fast surrogate simulations
Automatic Model Update
Decision Making at Real Time
Decision Making at Real Time
- Watch the addition and change of well data, and calculate the mismatch to static and dynamic models
- Automatic updates of geological model honoring the new “hard” data and interpretations
- Automatic updates of flow simulation models with up-to-date well schedule and history matching results
Decision Making at Real Time
Decision Making at Real Time
Decision Making at Real Time
- Auto layering and trajectory positioning while drilling
- Hydraulic fracture network prediction, SRV quantification, and pumping schedule optimization
- Production allocation planning, infill drilling recommendation and well control optimization