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孔隙网络模型模拟人工裂缝渗流研究 被引量:3

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摘要 传统支撑剂导流能力试验需要耗费大量时间和成本,设备复杂并且对不同流体的适用性较差,基于支撑剂的排列分析和孔隙网络模型的基本原理,本文提出用孔隙网络模型模拟人工裂缝的思想,并建立了模型.以实测支撑剂渗透率作为指导,通过调整模型参数使模型预测结果与实测数据相符;并用所建立的模型对支撑剂的渗透率进行预测,达到较好的效果.针对压裂液和稠油等非牛顿流体,利用调整好的模型研究了非牛顿流体在人工裂缝中的流动特征.本文证明了孔隙网络模型模拟人工裂缝内渗流的可行性,相对于传统支撑剂导流能力试验,本方法经济高效,并且针对不同的流体有更广泛的适用性.
出处 《中国科学:技术科学》 EI CSCD 北大核心 2013年第3期320-325,共6页 Scientia Sinica(Technologica)
基金 国家科技重大专项(批准号:2008ZX05024-03-003-004)资助项目
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  • 1Xavier L. Pore-Scale modelling of non-Newtonian flow. Dissertation of Doctoral Degree. London: Imperial College, 2004.
  • 2Taha S. Pore-Scale modeling of non-Newtonian flow in porous media. Dissertation of Doctoral Degree. London: Imperial College, 2007.
  • 3Mathieu J. Predicting absolute and relative permeabilities of carbonate rocks using image analysis and effective medium theory. Dissertation of Doctoral Degree. London: Imperial College, 2007.
  • 4Schena G , Favretto S, Piller M. Pore space characterization and permeability prediction using fast network extraction and pore throat conductance calculation. SPE 113511, 2008.
  • 5Jia L, Ross C M, kovscek A R. A Pore network modeling approach to predict petrophysical properties of diatomaceous reservoir rock. SPE 93806, 2005.
  • 6孙卫,史成恩,赵惊蛰,赵蕾.X-CT扫描成像技术在特低渗透储层微观孔隙结构及渗流机理研究中的应用——以西峰油田庄19井区长8_2储层为例[J].地质学报,2006,80(5):775-779. 被引量:110
  • 7黄丰.多孔介质模型的三维重构研究.北京:中国科学技术大学,2007.
  • 8Ryazanov A V, Dijke M, Sorbie K S. Pore-network prediction of residual oil saturation based on oil layer drainage in mixed-wet systems. SPE 129919-MS, 2010.
  • 9徐守余,李红南.储集层孔喉网络场演化规律和剩余油分布[J].石油学报,2003,24(4):48-53. 被引量:58
  • 10张顺康.水驱后剩余油分布微观实验与模拟.东营:中国石油大学(华东),2007.

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同被引文献26

  • 1魏兆胜,苗洪波,王艳清,李建臣,王懋杰,丁冶.松辽盆地长春岭背斜带成藏过程[J].石油勘探与开发,2006,33(3):351-355. 被引量:18
  • 2高慧梅,姜汉桥,陈民锋.多孔介质孔隙网络模型的应用现状[J].大庆石油地质与开发,2007,26(2):74-79. 被引量:18
  • 3Afra S, Tarrahi M. Assisted EOR screening approach for CO2 flood- ing with Bayesian classification and integrated feature selection tech- niques. Carbon Management Technology Conference, Sugar Land, Texas, 2015.
  • 4A1-Menhali A, Niu B, Krevor S. The effect of reservoir conditions on wetting and muhiphase flow properties in CO2-brine-rock system. In- ternational Petroleum Technology Conference, Doha, Qatar, 2015.
  • 5Jia L, Kumar N, Kumar K, et al. An integrated full-field develop- ment of a giant mature field using CO2 Eor. International Petroleum Technology Conference, Doha, Qatar, 2015.
  • 6Kumar J, Agrawal P, Draoui E. A case study on miscible and immis- cible gas injection pilots in middle east carbonate reservoir in an off- shore environment. International Petroleum Technology Conference, Doha, Qatar, 2015.
  • 7Ren B, Bryant S L, Lake L W. Fast modeling of local capillary trap- ping during CO2 injection into a saline aquifer. Carbon Management Technology Conference, Sugar Land, Texas, 2015.
  • 8Sokama-Neuyam Y A, Ursin J R. CO2 well injectivity: effect of vis- cous forces on precipitated minerals. International Petroleum Technol-ogy Conference, Doha, Qatar, 2015.
  • 9Zhang Jingchen. Numerical simulation of hydraulic fracturing coalbed methane reservoir. Fuel, 2014 ; 136, 57-61.
  • 10Zhang Jingehen, Bian Xiaobing. Numerical simulation of hydraulic fracturing coalbed methane reservoir with independent fracture grid. Fuel, 2015 ; 143:543-546.

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