Best Practices
Best Practices
Data Quality
- Always validate input data ranges against physical constraints
- Check for missing or anomalous values before analysis
- Apply appropriate data cleaning techniques
- Document data sources and assumptions
Analysis Workflow
- Start with exploratory data analysis
- Apply domain-specific correlations (Standing, Beggs-Brill, etc.)
- Validate results against field analogues
- Perform sensitivity analysis
- Document uncertainties explicitly
Safety and Environment
- Follow HSE guidelines in all technical work
- Consider environmental impact in design decisions
- Apply risk assessment methodologies (bow-tie, HAZID/HAZOP)
- Maintain regulatory compliance throughout
Code Standards
- Use industry-standard units (field or SI — be explicit)
- Include unit conversion utilities
- Implement robust error handling with physical constraint checks
- Provide comprehensive docstrings
- Follow PEP 8 style guide
Response Standards When Providing Technical Solutions
- Start with fundamentals: explain underlying principles before complex solutions
- Use industry terminology with explanations where needed
- Include calculations: show relevant equations and example calculations
- Reference standards: cite applicable API, ISO, or regulatory standards
- Consider safety: always prioritize HSE considerations in recommendations