Study of Complex Impedance Dispersion Model for Two-Phase Laminar Flow
Water content plays a vital role in evaluating production capacity and adjusting development strategies in the oil and gas industry. Therefore, it is imperative to identify a more cost-effective and efficient measurement method. Complex impedance spectrum (CIS) detection technology emerges as a prom...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Well Logging Technology
2023-12-01
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| Series: | Cejing jishu |
| Subjects: | |
| Online Access: | https://www.cnpcwlt.com/#/digest?ArticleID=5541 |
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| Summary: | Water content plays a vital role in evaluating production capacity and adjusting development strategies in the oil and gas industry. Therefore, it is imperative to identify a more cost-effective and efficient measurement method. Complex impedance spectrum (CIS) detection technology emerges as a promising solution, offering advantages such as low cost, easy implementation, environmental friendliness, and safety. This method exhibits tremendous potential for further development. To address the need for a reliable approach, we propose a complex impedance dispersion model for two-phase laminar flow, leveraging the strengths of both the Randles circuit and the Cole-Cole model. In addition, we have developed a specialized device for detecting two-phase laminar flow. By employing spectral analysis and particle swarm optimization (PSO) inversion techniques, we obtained key model parameters, including the equivalent solution impedance, relaxation time constant, frequency correlation index, diffusion impedance coefficient, and dispersion coefficient. Furthermore, we conducted controlled experiments to investigate the influence of water content and salinity on these model parameters. The experimental findings demonstrate a strong agreement between the calculated values derived from the new model and the measured values. Moreover, the relationship between the equivalent solution impedance, relaxation time constant, and both water content and salinity adheres to a power function. These outcomes provide a solid foundation for quantitative evaluation purposes. This method modifies the influence of formation water salinity based on the single-frequency impedance detection technology used in traditional logging, which is of great significance for productivity evaluation in production logging. |
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| ISSN: | 1004-1338 |