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王彦秋, 闫顺来, 李知, 陈毅. 异常地质体识别技术在钻井风险预测中的应用——以塔河南地区为例[J]. 海洋石油, 2024, 44(3): 57-61, 87. DOI: 10.3969/j.issn.1008-2336.2024.03.057
引用本文: 王彦秋, 闫顺来, 李知, 陈毅. 异常地质体识别技术在钻井风险预测中的应用——以塔河南地区为例[J]. 海洋石油, 2024, 44(3): 57-61, 87. DOI: 10.3969/j.issn.1008-2336.2024.03.057
WANG Yanqiu, YAN Shunlai, LI Zhi, CHEN YI. Application of Abnormal Geological Body Identification Technology in Drilling Risk Prediction—A Case Study in South Tahe Area[J]. Offshore oil, 2024, 44(3): 57-61, 87. DOI: 10.3969/j.issn.1008-2336.2024.03.057
Citation: WANG Yanqiu, YAN Shunlai, LI Zhi, CHEN YI. Application of Abnormal Geological Body Identification Technology in Drilling Risk Prediction—A Case Study in South Tahe Area[J]. Offshore oil, 2024, 44(3): 57-61, 87. DOI: 10.3969/j.issn.1008-2336.2024.03.057

异常地质体识别技术在钻井风险预测中的应用——以塔河南地区为例

Application of Abnormal Geological Body Identification Technology in Drilling Risk Prediction—A Case Study in South Tahe Area

  • 摘要: 塔里木盆地塔北地区部分地层异常地质体局部发育,钻井复杂工况频发。为保障钻井安全,降低钻探成本,通过分析复杂工况处测井、岩心资料,识别主导地质因素,采用相应地球物理属性分析,对诱发工程风险的多种异常岩性体进行了刻画,发现本征值加强相干属性对二叠系漏失段的预测、振幅类属性对高压盐水层和侵入岩体的预测均具有明显效果。实践表明,该技术对塔河南地区地质异常体预测的准确率达95.6%,钻井费用单井可节约899.57万元,为钻井工程提质增效提供了有效的技术保障。

     

    Abstract: Abnormal geological bodies are locally developed in some strata in the northern Tarim Basin, resulting in frequent complex drilling conditions. To ensure drilling safety and reduce drilling costs, the leading geological factors were identified by analyzing logging and core data from complex working conditions. Corresponding geophysical attribute analyses were adopted to characterize various abnormal lithologic bodies that induce engineering risks. It is discoveried that strengthened coherent attributes of eigenvalues have a significant effect on the prediction of Permian leakage sections and the prediction of high-pressure brine layers and intrusive rock bodies has a good effect by using amplitude attributes. Practice shows that the accuracy of this technology for predicting geological anomalies in south Tahe area region is 95.6%. The drilling costs per single well could be saved by 8.9957 million yuan. It provides effective technical support for improving the quality and efficiency of drilling engineering.

     

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