HUANG Bo, LIU Zhaoyang, TONG Bowen, YANG Zhipeng, ZHANG Guojun, CHENG Shiqing. A Disturbance Well Testing Analysis Method for Describing the Characteristics of High-permeability Channels in Multilayered Reservoirs[J]. Chinese Journal of Computational Physics, 2025, 42(4): 448-456. DOI: 10.19596/j.cnki.1001-246x.8958
Citation: HUANG Bo, LIU Zhaoyang, TONG Bowen, YANG Zhipeng, ZHANG Guojun, CHENG Shiqing. A Disturbance Well Testing Analysis Method for Describing the Characteristics of High-permeability Channels in Multilayered Reservoirs[J]. Chinese Journal of Computational Physics, 2025, 42(4): 448-456. DOI: 10.19596/j.cnki.1001-246x.8958

A Disturbance Well Testing Analysis Method for Describing the Characteristics of High-permeability Channels in Multilayered Reservoirs

  • This paper establishes a well testing model for high-permeability channels in multilayered reservoirs considering neighboring well interference. The model utilizes the point source function method and superposition principle to obtain bottomhole pressure solutions for multilayered reservoirs, followed by the generation of typical curve charts and parameter sensitivity analysis. A disturbance well testing analysis method is proposed for diagnosing high-permeability channels in multilayered reservoirs. Results indicate that the linear flow characteristic is a typical flow stage reflecting the high-permeability channel. The longer the high-permeability channel, the longer the linear flow duration and the earlier the interference control stage. The wider the high-permeability channel, the linear flow characteristics of the typical curve are gradually covered up. The larger the flow rate of the interference well, the larger the upwarping amplitude of the pressure derivative curve of the interference control flow stage. The closer the interference well is to the test well, the earlier the typical curve interference control flow stage appears. The established model is used to interpret field-measured data, obtaining parameters such as permeability and dimensions of high-permeability channels, thus validating the utility and reliability of the model proposed in this paper.
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