Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/54076
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dc.contributor.authorYin, Bangtang-
dc.contributor.authorZhang, Xuxin-
dc.contributor.authorSun, Baojiang-
dc.contributor.authorWang, Zhiyuan-
dc.contributor.authorGong, Peibin-
dc.contributor.authorHuang, Mingzhao-
dc.date.accessioned2020-02-28T09:48:38Z-
dc.date.available2020-02-28T09:48:38Z-
dc.date.issued2020-02-
dc.identifier.issn0975-1033 (Online); 0379-5136 (Print)-
dc.identifier.urihttp://nopr.niscair.res.in/handle/123456789/54076-
dc.description249-259en_US
dc.description.abstractWith the development of offshore oil industry, the influx and blowout are inevitable. Well control methods have been well researched, but how to recognize the failure of well control earlier and how to evaluate the probability of blowout for taking steps to avoid are imperfect. Based on the two-phase gas-liquid flow, the characteristic of well killing curve before and after killing are analyzed. Then the method for recognizing the failure of well killing is established by the probabilistic and covariance processing method. Then the blowout due to the failure of well killing is studied and the build-up pressure template is established. According to this, three evaluation methods for blowout probability are established, the shut-off pressure, the standing and casing pressure, formation parameters and underbalanced level varying methods. Final, four hardware systems and one evaluation system are recommended for decreasing or avoiding the risk during the failure of well killing.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceIJMS Vol.49(02) [February 2020]en_US
dc.subjectBlowout out of controlen_US
dc.subjectEvaluation methoden_US
dc.subjectEarly recognitionen_US
dc.subjectThe failure of offshore well killingen_US
dc.titleEvaluation Method for Probability of Blowout after the Failure of Offshore Well Killingen_US
dc.typeArticleen_US
Appears in Collections:IJMS Vol.49(02) [February 2020]

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