首页> 外文期刊>Arabian Journal for Science and Engineering >Quantitative Description Method for Uncertainty of Formation Pore Pressure
【24h】

Quantitative Description Method for Uncertainty of Formation Pore Pressure

机译:地层孔隙压力不确定度的定量描述方法

获取原文
获取原文并翻译 | 示例
       

摘要

Nowadays, the oil and gas exploration and development have been developed into the deep and complex formations. More and more abnormal pressure is encountered, which gives a great challenge to the safe and efficient drilling. Accurate description of pore pressure is of great significance to avoid drilling risk. The complexity of petroleum geology, the incompleteness of the logging or seismic data, the precision of the mathematical model and other issues can all lead to uncertainty in pore pressure prediction. The uncertainty of pore pressure is one of the fundamental causes for drilling risk. In order to address these challenges, a new quantitative description method for uncertainty of pore pressure was established. Firstly the sources of the pore pressure prediction uncertainty were analyzed. Then the uncertainties of Eaton index and normal compaction trend were, respectively, described. Finally the uncertainty interval of pore pressure was established based on Monte-Carlo simulation and normal information diffusion theory. The pore pressure prediction result obtained in this paper was not a single value, but an interval with probability distribution characteristic. The results of example showed that the measured values of pore pressure were all in pore pressure interval with confidence of 90%. Case study validated the feasibility and effectiveness of the proposed method.
机译:如今,油气勘探开发已经发展成为深层而复杂的地层。遇到越来越多的异常压力,这给安全有效的钻孔带来了巨大挑战。准确描述孔隙压力对避免钻井风险具有重要意义。石油地质的复杂性,测井或地震数据的不完整性,数学模型的精度以及其他问题都可能导致孔隙压力预测的不确定性。孔隙压力的不确定性是造成钻井风险的根本原因之一。为了解决这些挑战,建立了一种新的定量描述孔隙压力不确定性的方法。首先分析了孔隙压力预测不确定性的来源。然后分别描述了伊顿指数的不确定性和正常压实趋势。最后,基于蒙特卡罗模拟和正态信息扩散理论,建立了孔隙压力的不确定区间。本文获得的孔隙压力预测结果不是一个单一的值,而是一个具有概率分布特征的区间。实例结果表明,孔隙压力的测量值均在孔隙压力区间内,置信度为90%。案例研究验证了该方法的可行性和有效性。

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