An NMR Logging Permeability Evaluation Method Based on the Representative Elementary Volume Model
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摘要: 为了解决低孔隙度、低渗透储层渗透率计算模型精度较低的问题，通过研究单元体模型，利用核磁共振测井资料表征谱面积与胶结指数，并建立了计算储层渗透率的数学模型（REV模型）。分析了REV模型中各参数与渗透率的关系，给出了模型中各参数的求取方法，并将REV模型与经典的Timur-Coates模型和SDR模型进行了对比。分析表明，谱面积与渗透率存在幂函数关系，相关系数达到0.88，胶结指数在谱面积和孔隙度确定的情况下与渗透率呈一次函数关系，相关系数达到0.82，谱面积与胶结指数共同决定了储层渗透率的大小，渗透率与谱面积及胶结指数的变化存在较好的一致性。研究结果表明，REV模型的渗透率计算精度明显高于Timur-Coates模型和SDR模型，具有推广应用价值。Abstract: In order to solve the problem that permeability calculation models have low accuracy for low porosity and low permeability reservoirs, a mathematical model for predicting reservoir permeability has been established by using NMR logging data to characterize spectral area S and cementation exponent on the basis of a study of the representative elementary volume model (REV model). The relationship of each parameter from the REV model and permeability has been analyzed, and the calculation method for all parameters in the model was taken into consideration. The REV model was compared with the classical Timur-Coates and SDR models, the study results indicated that there was a power function relationship between spectral area and permeability, with the correlation coefficient of 0.88. Given a certain of spectral area and porosity, the cementation exponent has a linear relationship with permeability, with a correlation coefficient of 0.82. The value of reservoir permeability is determined by both the spectral area and cementation exponent. There is a good consistency in the change among permeability, spectral area and the cementation index. The study results showed that the accuracy of permeability calculation by REV model was significantly higher than Timur-Coates and SDR models, which is worthy of popularization and application.
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[1] 王新江,张丽萍,石京平.海拉尔油田孔隙结构特征分析[J].大庆石油地质与开发,2007,26(6):91-94.WANG Xinjiang,ZHANG Liping,SHI Jingping.Analysis of pore structure characteristics in Hailaer Oilfield[J].Petroleum GeologyOilfield Development in Daqing,2007,26(6):91-94. [2] 刘晓鹏,胡晓新.近五年核磁共振测井在储集层孔隙结构评价中的若干进展[J].地球物理学进展,2009,24(6):2194-2201.LIU Xiaopeng,HU Xiaoxin.Progress of NMR log in evaluating reservoir pore structure in the last five years[J].Progress in Geophysics,2009,24(6):2194-2201. [3] 申本科,赵红兵,崔文富,等.砂砾岩储层测井评价研究[J].地球物理学进展,2012,27(3):1051-1058.SHEN Benke,ZHAO Hongbing,CUI Wenfu,et al.Sandy conglomerate reservoir logging evaluation study[J].Progress in Geophysics,2012,27(3):1051-1058. [4] 陈欢庆,曹晨,梁淑贤,等.储层孔隙结构研究进展[J].天然气地球科学,2013,24(2):227-237.CHEN Huanqing,CAO Chen,LIANG Shuxian,et al.Research advances on reservoir pores[J].Natural Gas Geoscience,2013,24(2):227-237. [5] COATES G R,GALFORD J,MARDON D,et al.A new characterization of bulk-volume irreducible using magnetic resonance[J].The Log Analyst,1998,39(1):51-63.
[6] KENYON W E,DAY P I,STRALEY C,et al.A three-part study of NMR longitudinal relaxation properties of water-saturated sandstones[R].SPE 15643,1988.
[7] 谢伟彪,周凤鸣,司兆伟,等.基于数理推导的砂岩地层渗透率计算新模型[J].测井技术,2014,38(5):553-557.XIE Weibiao,ZHOU Fengming,SI Zhaowei,et al.New calculation model of permeability in sandstone formation by the mathematical derivation[J].Well Logging Technology,2014,38(5):553-557. [8] 朱林奇,张冲,何小菊,等.基于动态孔隙结构效率的核磁共振测井预测渗透率方法[J].新疆石油地质,2015,36(5):607-611.ZHU Linqi,ZHANG Chong,HE Xiaoju,et al.NMR logging permeability prediction method based on dynamic pore structure efficiency[J].Xinjiang Petroleum Geology,2015,36(5):607-611. [9] 卢文东,肖立志,李伟,等.核磁共振测井在低孔低渗储层渗透率计算中的应用[J].中国海上油气,2007,19(2):103-106.LU Wendong,XIAO Lizhi,LI Wei,et al.An application of NMR logging to calculating permeability in low porosity and low permeability reservoir[J].China Offshore Oil and Gas,2007,19(2):103-106. [10] 肖亮,刘晓鹏,毛志强.结合NMR和毛管压力资料计算储层渗透率的方法[J].石油学报,2009,30(1):100-103.XIAO Liang,LIU Xiaopeng,MAO Zhiqiang.A computation method for reservoir permeability by combining NMR log and capillary pressure data[J].Acta Petrolei Sinica,2009,30(1):100-103. [11] 李潮流,徐秋贞,张振波,等.用核磁共振测井评价特低渗透砂岩储层渗透性新方法[J].测井技术,2009,33(5):436-439.LI Chaoliu,XU Qiuzhen,ZHANG Zhenbo,et al.A new method on permeability analysis for sand reservoir with specially low permeability by NMR[J].Well Logging Technology,2009,33(5):436-439. [12] LI Chaoliu,ZHOU Cancan,LI Xia,et al.A novel model for assessing the pore structure of tight sands and its application[J].Applied Geophysics,2010,7(3):283-291.
[13] 邵维志,解经宇,迟秀荣,等.低孔隙度低渗透率岩石孔隙度与渗透率关系研究[J].测井技术,2013,37(2):149-153.SHAO Weizhi,XIE Jingyu,CHI Xiurong,et al.On the relation of porosity and permeability in low porosity and low permeability rock[J].Well Logging Technology,2013,37(2):149-153. [14] 成志刚,罗少成,杜支文,等.基于储层孔喉特征参数计算致密砂岩渗透率的新方法[J].测井技术,2014,38(2):185-189.CHENG Zhigang,LUO Shaocheng,DU Zhiwen,et al.The method to calculate tight sandstone reservoir permeability using pore throat characteristic parameters[J].Well Logging Technology,2014,38(2):185-189. [15] RUSH D,LINDSAY C,ALLEN M.Combining electrical measurements and mercury porosimetry to predict permeability[J].Petrophysics,2013,54(6):531-537.
[16] HUBBERT M K.Darcy’s law and the field equations of the flow of underground fluids[R].SPE 749,1956.
[17] 李卫成,张艳梅,王芳,等.应用恒速压汞技术研究致密油储层微观孔隙结构特征:以鄂尔多斯盆地上三叠统延长组为例[J].岩性油气藏,2012,24(6):60-65.LI Weicheng,ZHANG Yanmei,WANG Fang,et al.Application of constant-rate Mercury penetration technique to study of pore throat characteristics of tight reservoir:a case study from the upper Triassic Yanchang Formation in Ordos Basin[J].Lithologic Reservoirs,2012,24(6):60-65. [18] PURCELL W R.Capillary pressures their measurement using mercury and the calculation of permeability there from[R].SPE 949039,1949.
[19] 陈继华,陈政,毛志强.低孔隙度低渗透率储层物性参数与胶结指数关系研究[J].测井技术,2011,35(3):238-242.CHEN Jihua,CHEN Zheng,MAO Zhiqiang.On the relation between cementation exponent m and petrophysical parameters of low permeability and low porosity reservoir[J].Well Logging Technology,2011,35(3):238-242. [20] ARCHIE G E.The electrical resistivity log as an aid in determining some reservoir characteristics[R].SPE 942054,1942.
[21] SWANSON B F.A simple correlation between permeabilities and Mercury capillary pressure[J].Journal of Petroleum Technology,1981,40(12):2498-2503.
[22] 魏虎,孙卫,屈乐,等.靖边气田北部上古生界储层微观孔隙结构及其对生产动态影响[J].地质科技情报,2011,30(2):85-90.WEI Hu,SUN Wei,QU Le,et al.Micro-pore structure characteristics and its influence on gas well production performance in the northern part of sandstone reservoir in Jingbian Gas Field[J].Geological Science and Technology Information,2011,30(2):85-90. [23] 孙建国.阿尔奇(Archie)公式:提出背景与早期争论[J].地球物理学进展,2007,22(2):472-486.SUN Jianguo.Archie’s formula:historical background and earlier debates[J].Progress in Geophysics,2007,22(2):472-486. [24] HOFMAN J,SLIJKERMAIL W,LOOYESTIJN W,et al.Constructing capillary pressure curve from NMR log data in the presence of hydrocarbons:SPWLA-1999-KKK[R].Oslo,Norway:SPWLA 40th Annual Logging Symposium,1999.
[25] 朱林奇,张冲,石文睿,等.结合压汞实验与核磁共振测井预测束缚水饱和度方法研究[J].科学技术与工程,2016,16(15):22-29.ZHU Linqi,ZHANG Chong,SHI Wenrui,et al.Study on the prediction of irreducible water saturation by combing Mercury intrusion and NMR logging data[J].Science Technology and Engineering,2016,16(15):22-29. [26] 王宪刚,任晓娟,张宁生,等.低渗透率气藏岩石电性参数特征及影响因素[J].测井技术,2010,34(1):6-8,30.WANG Xiangang,REN Xiaojuan,ZHANG Ningsheng,et al.On rock electrical parameters characteristics in low-permeability gas reservoir and its influential factors[J].Well Logging Technology,2010,34(1):6-8,30. [27] 刘忠华,吴淑琴,杜宝会,等.储层渗透性与地层因素关系的实验研究与分析[J].地球物理学报,2013,56(6):2088-2097.LIU Zhonghua,WU Shuqin,DU Baohui,et al.Experimental study on the relationship between reservoir permeability and its formation resistivity factor[J].Chinese Journal of Geophysics,2013,56(6):2088-2097. [28] 罗少成,成志刚,林伟川,等.复杂孔隙结构储层变岩电参数饱和度模型研究[J].测井技术,2015,39(1):43-47.LUO Shaocheng,CHENG Zhigang,LIN Weichuan,et al.Research on saturation model of variable rock-electric parameters for reservoirs with complicated pore structures[J].Well Logging Technology,2015,39(1):43-47. [29] 李雄炎,秦瑞宝,毛志强,等.高精度胶结指数模型的建立与应用[J].石油学报,2014,35(1):76-84.LI Xiongyan,QIN Ruibao,MAO Zhiqiang,et al.Establishment and application of a high-precision cementation exponent model[J].Acta Petrolei Sinica,2014,35(1):76-84. [30] VASCONCELOS J A,RAMREZ J A,TAKAHASHI R H C,et al.Improvements in genetic algorithms[R].IEEE Transactions on Magnetics,2001,37(5):3414-3417.
[31] MOGBOLU P O,AKINOL O,UGURU C.Application of genetic algorithm in deconvolution of logs[R].SPE 150743,2011.
[32] 张冲,张占松,张超谟.基于等效岩石组分理论的渗透率解释模型[J].测井技术,2014,38(6):690-694.ZHANG Chong,ZHANG Zhansong,ZHANG Chaomo.A permeability interpretation model based on equivalent rock elements theory[J].Well Logging Technology,2014,38(6):690-694. -
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