Technology
Engineering Methodology & System Architecture
Our system is built as a fully integrated engineering decision framework combining data analytics, physics-based modeling, and optimization algorithms.
Embedded Files
Core Principles
Core Principles
Data-Driven Analytics
Data-Driven Analytics
Multi-source production data integration
Time-series analysis and feature extraction
Transformation of raw data into decision insights
Multi-Physics Coupling
Multi-Physics Coupling
Reservoir flow behavior
Wellbore flow dynamics
Gas–water two-phase flow
Pressure system evolution
Quantified Indicator System
Quantified Indicator System
Productivity Index (PI)
Deliverability Index (DI)
Flow Efficiency (EF)
Reservoir Quality Index (RQI)
Fracture Conductivity Index (FCI)
Formation Damage Index (FDI)
Engineering Optimization
Engineering Optimization
Multi-measure integration
Risk-controlled decision making
Maximum production with optimal investment
Five Closed-Loop System
Five Closed-Loop System
Data Processing Loop
Diagnosis Loop
Potential Evaluation Loop
Decision Optimization Loop
Lifecycle Prediction Loop
System Architecture
System Architecture
Data → Core Models → Diagnosis → Potential → Decision → Output
Key Advantages
Key Advantages
Engineering closed-loop system (not a standalone tool)
Combination of data and physics (not black-box AI)
Fully automated workflow
Standardized and scalable architecture
High stability and repeatability
Page updated
Google Sites
Report abuse