A New Method for Bit Selection Based on Pattern Recognition
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摘要: 针对目前钻井过程中因钻头选型不合理、钻头与所钻地层不匹配,导致钻头使用效果差的问题,建立了一种基于模式识别的钻头选型新方法。利用模式识别理论,对已钻井地层及使用的钻头进行聚类分析,建立了地层-钻头标准模式,然后利用K-NN算法对待钻地层进行识别归类,通过地层-钻头标准模式即可选出最佳钻头。该方法在青海油田东坪、牛东区块的2口井中进行了钻头选型现场试验,给出了钻头优选方案,实钻数据表明,与未使用推荐钻头的邻井相比,2口井的钻速和进尺都有了很大提高,提速效果明显。研究结果表明,基于模式识别的钻头选型新方法既考虑了地层多种抗钻特性参数,又考虑了钻头使用效果,钻头优选方案更合理,可以更好地实现钻井提速提效的目的。Abstract: In drilling engineering, poor bit performance often results from unreasonable bit selections and mechanical properties that are unsuitable for certain formations. Therefore, a new method for selecting bit types based on the pattern recognition method was established. First, a cluster analysis was performed on the drilled strata and bits were adopted according to pattern recognition theory, and then a stratum-bit standard or guide was constructed. Second, the strata to be drilled were identified and classified by means of K-NN algorithm, and the optimum bit was selected on the basis of the stratum-bit standard mode. Finally, the bit selection scheme was provided and applied to two wells in Dongping and Niudong Blocks, Qinghai Oilfield. Practical drilling data showed that drilling rate and footage in the two wells improved when the recommendations were followed. It is indicated that new bit selection method based on pattern recognition not only considered various drilling resistant parameters of strata, but also focused on bit performance. So, the new bit selection scheme is considered to be more reasonable that earlier approaches, and it is possible to significantly improve the drilling rate and efficiency.
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Keywords:
- bit selection /
- cluster analysis /
- pattern recognition /
- standard mode /
- Qinghai Oilfield
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