...
首页> 外文期刊>Measurement >Experimental and numerical study of membrane properties and pore pressure transmission of Ghom shale
【24h】

Experimental and numerical study of membrane properties and pore pressure transmission of Ghom shale

机译:Ghom页岩膜性质和孔隙压力传递的实验与数值研究

获取原文
获取原文并翻译 | 示例

摘要

Serious wellbore instability frequently occurs during drilling operations in shale formations. Selection of safe mud parameters to alleviate shale instability problems during drilling operations can benefit from predictive models that consider fully coupled chemo-mechanical phenomena involved in shale-drilling fluid interactions. Although different chemo-poroelastic analyses on these interactions are presented in the literature, only a few experimental measurements and analysis of model predictions are available. In this paper, pore pressure transmission test on Ghom shale is conducted and pore pressure changes in the shale sample under hydraulic and chemical loading is measured. The main outcome of this experiment is the reflection coefficient which is usually used to quantify the osmotic characteristics of the chemically active shale in contact with a water-based fluid. The measured parameter together with other physico-chemical properties of Ghom shale are used to simulate time evolution of pore pressure and solute mass fraction distributions in the sample based on the chemo-poroelastic model of the test and the finite element solution in MATLAB. Comparison with experimental data shows that the simulation results are in good agreement with the actual pressure measurements in the test. This result provides further validation for the theoretical model. (C) 2016 Elsevier Ltd. All rights reserved.
机译:页岩地层的钻井作业期间经常发生严重的井眼失稳。选择缓解泥浆不稳定问题的安全泥浆参数可以受益于预测模型,该模型考虑了页岩-钻井液相互作用所涉及的完全耦合的化学机械现象。尽管在文献中对这些相互作用进行了不同的化学-多孔弹性分析,但只有少数实验测量和模型预测分析可用。本文对Ghom页岩进行了孔隙压力传输试验,并测量了在水力和化学载荷下页岩样品中的孔隙压力变化。该实验的主要结果是反射系数,该系数通常用于量化与水基流体接触的化学活性页岩的渗透特性。基于测试的化学-孔隙弹性模型和MATLAB中的有限元解,使用Ghom页岩的测量参数以及其他理化性质来模拟样品中孔隙压力和溶质质量分数分布的时间演化。与实验数据的比较表明,模拟结果与测试中的实际压力测量结果非常吻合。这一结果为理论模型提供了进一步的验证。 (C)2016 Elsevier Ltd.保留所有权利。

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