Simulation and Optimization of Surface Gas Injection Systems for Underground Gas Storage

Area of Science:

• Petroleum Engineering
• Chemical Engineering
• Process Optimization

Background:

• Increasing demand for intelligent operations in the oil and gas industry and gas storage.
• Optimized surface engineering is crucial for efficient gas storage operations.
• Need to improve production management and reduce gas injection costs.

Purpose of the Study:

• To simulate and optimize a surface gas injection system for underground gas storage.
• To determine the optimal injection pattern and number of wells.
• To establish functional relationships between injection parameters and time.

Main Methods:

• Development and verification of gas injection well pressure calculation formulas using ideal gas, van der Waals, and R-K equations.
• Selection of the ideal gas equation of state for its balance of accuracy and simplicity.
• Modeling the surface gas injection system using Aspen HYSYS software.
• Analysis of compressor power variations to identify optimal injection patterns.

Main Results:

• The ideal gas law-derived formula was selected as the constraint condition.
• The equalizing pressure injection pattern with three wells was identified as optimal.
• Functional formulas relating well pressure and injection flow to injection time were derived.

Conclusions:

• The study provides a basis for gas injection decision-making in production systems.
• The findings support the digital transformation and intelligent operation of gas storage enterprises.
• Optimized surface gas injection enhances efficiency and reduces operational costs.