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Thermal Profiles in Water Injection Wells: Reduction in the Systematic Error of Flow Measurements during the
German Alberto Echaiz Espinoza1, Gabriel Pereira de Oliveira2, Verivan Santos Lima2
1Department of Electronics Engineering, Universidad Nacional de San Agustin de Arequipa, Arequipa 04002, Peru.
Sensors (Basel, Switzerland)
|December 9, 2023
Summary
This study introduces an analytical solution to accurately calculate water injection well flow rates, significantly reducing errors common in older methods during initial operation. The new approach minimizes systematic errors to under 1% within the first two hours.
Area of Science:
- Petroleum Engineering
- Thermodynamics
- Wellbore Flow Analysis
Background:
- Traditional quasi-static methods for calculating injection well flow rates exhibit significant systematic errors (>20%) during early operational hours.
- These errors stem from the assumption that thermal equilibrium is reached, which is not valid during transient phases.
Purpose of the Study:
- To develop an analytical solution for precise flow rate calculation in water injection wells.
- To minimize systematic errors inherent in quasi-static methodologies, especially during the initial hours of operation.
Main Methods:
- Utilized the first law of thermodynamics to formulate a mathematical model.
- Established thermal profiles of injection fluid using distributed temperature systems (DTS).
- Incorporated the natural geothermal profile to determine the thermal gradient.
Main Results:
- The developed analytical solution reduced systematic errors to below 1% within the first two hours of well operation.
- Computational simulations validated the mathematical model's accuracy.
- The new method, while more complex, offers superior accuracy during transient well conditions.
Conclusions:
- The proposed analytical solution effectively addresses the limitations of quasi-static methods in transient wellbore conditions.
- Accurate thermal profiling and thermodynamic modeling are crucial for precise flow rate calculations in injection wells.
- This approach enhances operational efficiency and data reliability in geothermal and petroleum engineering applications.
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