首页> 外文会议>International Symposium on Computational Intelligence and Design >Research on the Identification Method of Lithology Drilling with PDC Bit
【24h】

Research on the Identification Method of Lithology Drilling with PDC Bit

机译:PDC钻头岩岩识别方法研究

获取原文

摘要

While drilling with PDC Bit, Some problems are come out when using the methods of traditional recorder well because Lithology is hard to identify. The data collected by mud-logging equipment, for examples, ROP, WOB, torque et al., reflects the different properties of rock in the formation of subsurface. The relation among them is complex and BP neural network is adopted in three layers. The depth section between 2,500m and 2,700m of Well Zhang2104 is used to train predictive model in Zhangdian oil field. In order to test the precision of the model, the depth section (2,000m~2,200m) of Well Zhang2104 and Well Zhang2201 (2,600m~2,800m) are predicted. The precision predicted to Zhang2104 is 93.6% and Well Zhang2201 is 89.2%, but it is almost 100% in the pure rocks. The identification errors center on the rock filled with about 50% clay. The result proves that this method is practical.
机译:在使用PDC位钻探时,在使用传统记录器的方法时出现一些问题,因为岩性难以识别。泥浆测井设备收集的数据,用于示例,ROP,WOB,Torque等人,反映了地下形成的岩石的不同性质。它们之间的关系是复杂的,并且在三层中采用了BP神经网络。 Zhang2104的2500米和2,700米的深度部分用于培训张甸油田的预测模型。为了测试模型的精度,预测Zang2104井的深度部分(2,000m〜2,200m),Zhang2201(2,600m〜2,800m)。预测张2104的精度是93.6%,张2201井是89.2%,但纯岩石近100%。岩石上的识别错误中心充满了大约50%的粘土。结果证明了这种方法是实用的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号