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储层品质评价中的核磁共振研究
引用本文:赵建斌,万金彬,罗安银,程道解,李慧莹. 储层品质评价中的核磁共振研究[J]. 西南石油大学学报(自然科学版), 2018, 40(1): 89-96. DOI: 10.11885/j.issn.1674-5086.2016.08.04.02
作者姓名:赵建斌  万金彬  罗安银  程道解  李慧莹
作者单位:1. 中国石油集团测井有限公司油气评价中心, 陕西 西安 710077;2. 中国石油集团测井有限公司华北事业部, 河北 任丘 062552
基金项目:中国石油天然气集团公司重大科技专项(2014E-3504-2)
摘    要:针对冀中地区中深层、中低孔隙度、低渗透率复杂孔隙结构碎屑岩储层品质评价及产能评估困难的问题,开展了基于岩石核磁共振实验的孔隙结构定量表征方法的研究;结合地区试油测试分析数据确定储层品质下限及储层品质指数与储层产液间的关系,建立适合该区的储层分类标准,形成了一套比较完善的储层品质及产能评价技术。结果表明,该技术在评价储层有效性与储层产能方面应用效果良好,准确率高达87.7%,能够为油田勘探开发提供准确的试油建议。

关 键 词:核磁共振  碎屑岩  孔隙结构  储层品质  产能评价  
收稿时间:2016-08-04

A Study on Nuclear Magnetic Resonance to Reservoir Quality Evaluation
ZHAO Jianbin,WAN Jinbin,LUO Anyin,CHENG Daojie,LI Huiying. A Study on Nuclear Magnetic Resonance to Reservoir Quality Evaluation[J]. Journal of Southwest Petroleum University(Seience & Technology Edition), 2018, 40(1): 89-96. DOI: 10.11885/j.issn.1674-5086.2016.08.04.02
Authors:ZHAO Jianbin  WAN Jinbin  LUO Anyin  CHENG Daojie  LI Huiying
Affiliation:1. Reservoir Evaluation Center, China Petroleum Logging Co. Ltd., CNPC, Xi'an, Shaanxi 710077, China;2. North China Division, China Petroleum Logging Co. Ltd., CNPC, Renqiu, Hebei 062552, China
Abstract:In view of the difficulties in evaluating the quality and assessing the productivity of low-permeability complex porestructure clastic rock reservoirs with medium to low porosity located in the middle and deep formations of the central Hebei Area, we initiated a study involving the quantitative characterization of the pore structure based on nuclear magnetic resonance spectroscopy. By combining the well testing analytical data, we determined the correlation between the lower reservoir quality limit and index and the reservoir fluid production, established an appropriate reservoir classification standard for the area, and developed a well-rounded reservoir quality and productivity evaluation technique. The application of this technique to the evaluation of reservoir effectiveness and productivity showed good results; with the high accuracy rate of 87.7%, it can provide accurate suggestions for well testing in oil field exploration and development.
Keywords:nuclear magnetic resonance  clastic rock  pore structure  reservoir quality  productivity evaluation  
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