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张宝平, 付建民, 谢涛, 张磊, 王攀. 基于钻井平台再就位滑移因素平台场址位置优选研究[J]. 海洋石油, 2023, 43(2): 89-93. DOI: 10.3969/j.issn.1008-2336.2023.02.089
引用本文: 张宝平, 付建民, 谢涛, 张磊, 王攀. 基于钻井平台再就位滑移因素平台场址位置优选研究[J]. 海洋石油, 2023, 43(2): 89-93. DOI: 10.3969/j.issn.1008-2336.2023.02.089
ZHANG Baoping, FU Jianmin, XIE Tao, ZHANG Lei, WANG Pan. Research on Platform Site Location Optimization Based on the Sliding Factor of Drilling Platform Repositioning[J]. Offshore oil, 2023, 43(2): 89-93. DOI: 10.3969/j.issn.1008-2336.2023.02.089
Citation: ZHANG Baoping, FU Jianmin, XIE Tao, ZHANG Lei, WANG Pan. Research on Platform Site Location Optimization Based on the Sliding Factor of Drilling Platform Repositioning[J]. Offshore oil, 2023, 43(2): 89-93. DOI: 10.3969/j.issn.1008-2336.2023.02.089

基于钻井平台再就位滑移因素平台场址位置优选研究

Research on Platform Site Location Optimization Based on the Sliding Factor of Drilling Platform Repositioning

  • 摘要: 随着国家对安全生产要求越来越严格,海上油田平台场址位置选择不完全取决于经济开发效益,钻井平台就位滑移造成的钻完井投资增加以及大型设施安全也成为不可缺少的优选因素。因此,除了考虑钻完井总进尺最小,还需要考虑地层土质情况和后期钻井平台就位次数。在最小进尺和费用最低优选平台位置的基础上,合理确定平台位置分布界限,利用圆周法确定平台的备选位置,建立滑移因素优选计算模型和基于滑移因素的优选方法。在KL10-4等油田的应用实例表明:基于滑移因素的平台场址位置优选方法能够减少钻完井投资约2 000万元,为海上丛式井开发平台场址位置优选提供了新的方法和思路。

     

    Abstract: As the country's requirements for safe production become more and more stringent, the location selection of offshore oilfield platform sites does not completely depend on economic development benefits. The increase in drilling and completion investment caused by the slip in positioning of drilling platforms and the safety of large-scale facilities have also become indispensable optimizing factors. therefore, in addition to considering the minimum total footage of drilling and completion, it is also necessary to consider the formation soil condition and the number of positioning times of drilling platforms in the later stage. On the basis of the minimum footage and the lowest cost, the platform position distribution boundary is reasonably determined, and the alternative position of the platform is determined by the three-figure method. The calculation model of the slip factor optimization and the optimization method based on the slip factor are established. The application examples in KL10-4 oilfield show that the platform site optimization method based on slip factor can reduce the drilling and completion investment by about 20 million which provides a new method and idea for the site optimization of offshore cluster well development platform.

     

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