【24h】

Pore Pressure Calculation Method for Deepwater Shallow Layers with Log Data

机译:利用测井资料计算深水浅层孔隙压力

获取原文
获取原文并翻译 | 示例

摘要

Deepwater drilling practice faces numbers of geological hazards which happen in shallow area due tornabnormal pore pressure, and these phenomenon go worse, even affect the drilling process, combining withrnshallow flow, shallow gas, and gas hydrate conditions. However, applicable pore pressure calculationrnmethods were not established in last decades.rnFormation pore pressure change closely with SDT, especially the reaction more obvious mudstonernformation. In this paper, based on shallow soil attributes, two kinds of logging-based calculation methodsrnare put forward. One is a comprehensive interpretation method, in which porosity, shaliness and effectivernstress are taken into account. The other is a multi-regression method with the consideration of P-wavernvelocity, affected by shallow gas velocity and shallow flow velocity, and mathematical model isrnestablished by multi-regression.rnTwo wells in Yingqiong basin are exampled to verify above two methods. Meanwhile, calculationrnresults are consistent with testing data, and geological hazards can be detected. Results shows that thernmulti-regression method is more suitable for fast prediction, and the comprehensive interpretation methodrnis more accurate.rnPore pressure calculation in deepwater is different from the shallow case due to soil attributes. How tornaccurately analyze it still has a long way to go. The methods proposed in this paper have been applied inrnmany wells in the South China Sea, and provide reasonable references to drilling practice.
机译:深水钻井实践面临由于孔隙压力异常而在浅水区发生的地质灾害,这些现象加之浅流,浅层瓦斯和天然气水合物条件,使情况变得更糟,甚至影响了钻井过程。然而,近几十年来尚未建立适用的孔隙压力计算方法。地层孔隙压力与SDT关系密切,尤其是反应更明显的泥岩地层。本文基于浅层土壤属性,提出了两种基于测井的测井方法。一种是综合的解释方法,其中考虑了孔隙度,页岩性和有效应力。另一种是考虑P波速度,受浅层气体流速和浅层流速影响的多元回归方法,并通过多元回归建立数学模型。以盈琼盆地两口井为例,对上述两种方法进行了验证。同时,计算结果与试验数据吻合,可以发现地质灾害。结果表明,多元回归方法更适合于快速预测,综合解释方法更为准确。由于土壤属性,深水孔压与浅层计算不同。如何精确地分析它还有很长的路要走。本文提出的方法已经在南海的许多井中得到了应用,并为钻井实践提供了合理的参考。

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