Downhole parameter prediction method based on multi-layer water injection model and historical data-based model parameter identification
Wireless communication has become a preferred direction for the development of layered water injection tools due to its low cost and high reliability. However, the wireless system relies on the underground battery for power supply，and each communication will consume a significant amount of energy. I...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-10-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S240584402307651X |
| _version_ | 1797646504673935360 |
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| author | Bingxuan Wu Chenquan Hua Guobin Ren Yang Lu Yuanhang Chen |
| author_facet | Bingxuan Wu Chenquan Hua Guobin Ren Yang Lu Yuanhang Chen |
| author_sort | Bingxuan Wu |
| collection | DOAJ |
| description | Wireless communication has become a preferred direction for the development of layered water injection tools due to its low cost and high reliability. However, the wireless system relies on the underground battery for power supply，and each communication will consume a significant amount of energy. In order to save energy consumption, the wireless system adopts the intermittent sleep communication mode, with intervals of usually more than one month. During the idle time of communication, the downhole parameters such as pressure and flowrate will change as the pressure and flowrate at the wellhead. Therefore, it is crucial to predict downhole parameters based on the wellhead pressure and flowrate. In this study, a downhole parameter prediction method based on multi-layer water injection model is proposed. A multilayer injection prediction model was established based on the hydraulic analysis of the tubing string, and the model parameters were identified and updated using the historical data uploaded each time. The pressure and flow rate measured at the wellhead were used as inputs to the model, and the recursive relationship between layers in the multilayer model was utilized to predict downhole parameters for each layer. A model parameter optimization method based on time-weighting is proposed in order to address the gradual changes in model parameters during water injection. This method assigns greater weight to more recent historical data, resulting in optimized model parameters. Experimental results show that the proposed method can effectively predict the flowrate and pressure of each layer, with a prediction deviation of less than 5% F.S., which provides technical support for the application and popularization of the wireless layered water injection system. |
| first_indexed | 2024-03-11T15:03:33Z |
| format | Article |
| id | doaj.art-3973adb5c2ff46bc83356f78d13f1921 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-03-11T15:03:33Z |
| publishDate | 2023-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-3973adb5c2ff46bc83356f78d13f19212023-10-30T06:06:07ZengElsevierHeliyon2405-84402023-10-01910e20443Downhole parameter prediction method based on multi-layer water injection model and historical data-based model parameter identificationBingxuan Wu0Chenquan Hua1Guobin Ren2Yang Lu3Yuanhang Chen4College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, Shandong, ChinaCorresponding author.; College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, Shandong, ChinaCollege of Control Science and Engineering, China University of Petroleum (East China), Qingdao, Shandong, ChinaCollege of Control Science and Engineering, China University of Petroleum (East China), Qingdao, Shandong, ChinaCollege of Control Science and Engineering, China University of Petroleum (East China), Qingdao, Shandong, ChinaWireless communication has become a preferred direction for the development of layered water injection tools due to its low cost and high reliability. However, the wireless system relies on the underground battery for power supply，and each communication will consume a significant amount of energy. In order to save energy consumption, the wireless system adopts the intermittent sleep communication mode, with intervals of usually more than one month. During the idle time of communication, the downhole parameters such as pressure and flowrate will change as the pressure and flowrate at the wellhead. Therefore, it is crucial to predict downhole parameters based on the wellhead pressure and flowrate. In this study, a downhole parameter prediction method based on multi-layer water injection model is proposed. A multilayer injection prediction model was established based on the hydraulic analysis of the tubing string, and the model parameters were identified and updated using the historical data uploaded each time. The pressure and flow rate measured at the wellhead were used as inputs to the model, and the recursive relationship between layers in the multilayer model was utilized to predict downhole parameters for each layer. A model parameter optimization method based on time-weighting is proposed in order to address the gradual changes in model parameters during water injection. This method assigns greater weight to more recent historical data, resulting in optimized model parameters. Experimental results show that the proposed method can effectively predict the flowrate and pressure of each layer, with a prediction deviation of less than 5% F.S., which provides technical support for the application and popularization of the wireless layered water injection system.http://www.sciencedirect.com/science/article/pii/S240584402307651XWireless communicationDownhole parameter predictionMulti-layer water injection modelModel parameter identification |
| spellingShingle | Bingxuan Wu Chenquan Hua Guobin Ren Yang Lu Yuanhang Chen Downhole parameter prediction method based on multi-layer water injection model and historical data-based model parameter identification Heliyon Wireless communication Downhole parameter prediction Multi-layer water injection model Model parameter identification |
| title | Downhole parameter prediction method based on multi-layer water injection model and historical data-based model parameter identification |
| title_full | Downhole parameter prediction method based on multi-layer water injection model and historical data-based model parameter identification |
| title_fullStr | Downhole parameter prediction method based on multi-layer water injection model and historical data-based model parameter identification |
| title_full_unstemmed | Downhole parameter prediction method based on multi-layer water injection model and historical data-based model parameter identification |
| title_short | Downhole parameter prediction method based on multi-layer water injection model and historical data-based model parameter identification |
| title_sort | downhole parameter prediction method based on multi layer water injection model and historical data based model parameter identification |
| topic | Wireless communication Downhole parameter prediction Multi-layer water injection model Model parameter identification |
| url | http://www.sciencedirect.com/science/article/pii/S240584402307651X |
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