Prediction model and its application of helium extraction OPEX based on response surface methodology
Yiping Wu1, Shen'aoyi Liu1, Qing Wang1
1PetroChina Research Institute of Petroleum Exploration and Development, Beijing, 10083, China.
Heliyon
|April 15, 2024
Summary
This study develops an operational expenditure (OPEX) prediction model for helium extraction using Response Surface Methodology (RSM). The model accurately estimates extraction costs, confirming project economic viability.
Area of Science:
- Chemical Engineering
- Economic Analysis
Background:
- China faces low helium content in natural gas and high extraction costs.
- Efficient helium extraction is crucial for resource utilization.
Purpose of the Study:
- To propose an operational expenditure (OPEX) prediction model for helium extraction.
- To optimize helium extraction process parameters using Response Surface Methodology (RSM).
Main Methods:
- Utilized ASPEN-HYSYS for process simulation.
- Applied RSM with Design Expert for parameter design and optimization.
- Incorporated Box Behnken Design (BBD) for parameter significance verification.
Main Results:
- Developed a second-order regression function for OPEX prediction.
- Determined key influencing factors and limits for OPEX.
- Unit helium extraction cost estimated between 100-119.52 yuan/m³ with an Internal Rate of Return (IRR) of 13.37%.
Conclusions:
- The developed OPEX prediction model is effective for evaluating helium extraction projects.
- The proposed method demonstrates significant economic benefits and practical applicability.
