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| 低渗透储层核磁共振实验与测井应用 |
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范卓颖1,2,侯加根1,2,邢东辉3,4,葛新民3,4,张凤生5
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(1.中国石油大学(北京)地球科学学院,北京 102249;2.中国石油大学(北京)油气资源与探测国家重点实验室, 北京 102249;3.中国石油大学(华东)地球科学与技术学院,山东青岛 266580;4.海洋国家实验室海洋矿产 资源评价与探测技术功能实验室,山东青岛 266071;5.中国石油测井应用研究院,陕西西安 710077)
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| 摘要: |
| 针对低渗透储层岩性及孔隙结构复杂,核磁共振信噪比低、物性参数计算困难等问题,利用不同岩性的岩心开展不同流体性质和采集参数下的核磁共振实验,明确核磁共振响应特征及影响因素,并建立相应的参数计算模型。基于岩性单元分别建立核磁共振孔隙度校正模型,从而提升孔隙度计算效果。结果表明:低渗透岩石核磁共振响应受孔径影响明显,且与回波间隔、等待时间等采集参数和流体性质的关系差异较大;基于回波幅度建立的渗透率计算模型,无需对回波串进行反演,从而减少误差传递,能提高渗透率计算精度。 |
| 关键词: 低渗透储层 核磁共振实验 储层参数 孔隙度校正 采集参数 |
| DOI：10.3969/j.issn.1673-5005.2019.01.006 |
| 分类号::TE 151 |
| 文献标识码:A |
| 基金项目:中央高校基本科研业务费专项(16CX06048A,16CX05004A)；国家科技重大专项(2017ZX05039)；国家重大仪器设备开发专项(2013YQ17046306) |
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| Core NMR experiments for low permeability reservoir and its field application |
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FAN Zhuoying1,2, HOU Jiagen1,2, XING Donghui3,4, GE Xinmin3,4, ZHANG Fengsheng5
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(1.College of Geosciences in China University of Petroleum (Beijing), Beijing 102249, China;2.State Key Laboratory of Petroleum Resources and Prospecting in China University of Petroleum(Beijing), Beijing 102249, China;3.School of Geosciences in China University of Petroleum(East China), Qingdao 266580, China;4.Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China;5.CNPC Logging Application Research Institute, Xi 'an 710077, China)
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| Abstract: |
| Thanks to its obvious advantages in reservoir parameters calculating and fluid identification, the nuclear magnetic resonance (NMR) logging method is becoming popular in reservoir evaluation. In low permeability reservoirs with complicated lithology and pore structure, however, NMR logging faces problems of low signal-to-noise ratio signal and difficulty in parameter calculation of physical properties. A series of NMR simulations of samples with different fluid properties and lithologies are carried out under different acquisition parameters to recognize the characteristics and influencing factors of NMR response. An NMR porosity correction model, based on the lithology unit and simulation results, is established to improve the calculation efficiency of porosity. The results show that the NMR responses of low permeability rocks are apparently influenced by pore size, acquisition parameters such as the echo time and waiting time, as well as the fluid properties. The new calculation model of permeability, established based on the echo amplitude, does not need time-consuming inversion of the echo train, therefore greatly improves the efficiency of permeability calculation. |
| Key words: low permeability reservoir NMR experiment reservoir parameter porosity correction acquisition parameter |
