Reservoir Characterization during Underbalanced Drilling of Horizontal Wells Based on Real-Time Data Monitoring
In this work, a methodology for characterizing reservoir pore pressure and permeability during underbalanced drilling of horizontal wells was presented. The methodology utilizes a transient multiphase wellbore flow model that is extended with a transient well influx analytical model during underbala...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2014/905079 |
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| _version_ | 1849691498074865664 |
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| author | Gao Li Hongtao Li Yingfeng Meng Na Wei Chaoyang Xu Li Zhu Haibo Tang |
| author_facet | Gao Li Hongtao Li Yingfeng Meng Na Wei Chaoyang Xu Li Zhu Haibo Tang |
| author_sort | Gao Li |
| collection | DOAJ |
| description | In this work, a methodology for characterizing reservoir pore pressure and permeability during underbalanced drilling of horizontal wells was presented. The methodology utilizes a transient multiphase wellbore flow model that is extended with a transient well influx analytical model during underbalanced drilling of horizontal wells. The effects of the density behavior of drilling fluid and wellbore heat transfer are considered in our wellbore flow model. Based on Kneissl’s methodology, an improved method with a different testing procedure was used to estimate the reservoir pore pressure by introducing fluctuations in the bottom hole pressure. To acquire timely basic data for reservoir characterization, a dedicated fully automated control real-time data monitoring system was established. The methodology is applied to a realistic case, and the results indicate that the estimated reservoir pore pressure and permeability fit well to the truth values from well test after drilling. The results also show that the real-time data monitoring system is operational and can provide accurate and complete data set in real time for reservoir characterization. The methodology can handle reservoir characterization during underbalanced drilling of horizontal wells. |
| format | Article |
| id | doaj-art-e7d6130359554dd595fb1a4476bf0385 |
| institution | DOAJ |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-e7d6130359554dd595fb1a4476bf03852025-08-20T03:21:01ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/905079905079Reservoir Characterization during Underbalanced Drilling of Horizontal Wells Based on Real-Time Data MonitoringGao Li0Hongtao Li1Yingfeng Meng2Na Wei3Chaoyang Xu4Li Zhu5Haibo Tang6State Key Laboratory of Oil and Gas Reservoir Geology and Exploration, School of Petroleum Engineering, Southwest Petroleum University, Chengdu, Sichuan 610500, ChinaState Key Laboratory of Oil and Gas Reservoir Geology and Exploration, School of Petroleum Engineering, Southwest Petroleum University, Chengdu, Sichuan 610500, ChinaState Key Laboratory of Oil and Gas Reservoir Geology and Exploration, School of Petroleum Engineering, Southwest Petroleum University, Chengdu, Sichuan 610500, ChinaState Key Laboratory of Oil and Gas Reservoir Geology and Exploration, School of Petroleum Engineering, Southwest Petroleum University, Chengdu, Sichuan 610500, ChinaState Key Laboratory of Oil and Gas Reservoir Geology and Exploration, School of Petroleum Engineering, Southwest Petroleum University, Chengdu, Sichuan 610500, ChinaState Key Laboratory of Oil and Gas Reservoir Geology and Exploration, School of Petroleum Engineering, Southwest Petroleum University, Chengdu, Sichuan 610500, ChinaEngineering Supervision Center, SINOPEC Southwest Oil & Gas Company, Deyang, Sichuan 618000, ChinaIn this work, a methodology for characterizing reservoir pore pressure and permeability during underbalanced drilling of horizontal wells was presented. The methodology utilizes a transient multiphase wellbore flow model that is extended with a transient well influx analytical model during underbalanced drilling of horizontal wells. The effects of the density behavior of drilling fluid and wellbore heat transfer are considered in our wellbore flow model. Based on Kneissl’s methodology, an improved method with a different testing procedure was used to estimate the reservoir pore pressure by introducing fluctuations in the bottom hole pressure. To acquire timely basic data for reservoir characterization, a dedicated fully automated control real-time data monitoring system was established. The methodology is applied to a realistic case, and the results indicate that the estimated reservoir pore pressure and permeability fit well to the truth values from well test after drilling. The results also show that the real-time data monitoring system is operational and can provide accurate and complete data set in real time for reservoir characterization. The methodology can handle reservoir characterization during underbalanced drilling of horizontal wells.http://dx.doi.org/10.1155/2014/905079 |
| spellingShingle | Gao Li Hongtao Li Yingfeng Meng Na Wei Chaoyang Xu Li Zhu Haibo Tang Reservoir Characterization during Underbalanced Drilling of Horizontal Wells Based on Real-Time Data Monitoring Journal of Applied Mathematics |
| title | Reservoir Characterization during Underbalanced Drilling of Horizontal Wells Based on Real-Time Data Monitoring |
| title_full | Reservoir Characterization during Underbalanced Drilling of Horizontal Wells Based on Real-Time Data Monitoring |
| title_fullStr | Reservoir Characterization during Underbalanced Drilling of Horizontal Wells Based on Real-Time Data Monitoring |
| title_full_unstemmed | Reservoir Characterization during Underbalanced Drilling of Horizontal Wells Based on Real-Time Data Monitoring |
| title_short | Reservoir Characterization during Underbalanced Drilling of Horizontal Wells Based on Real-Time Data Monitoring |
| title_sort | reservoir characterization during underbalanced drilling of horizontal wells based on real time data monitoring |
| url | http://dx.doi.org/10.1155/2014/905079 |
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