基于正态分布拟合的致密砂砾岩储层核磁共振测井可变<i>T</i><sub>2</sub>截止值计算方法

doi:10.13810/j.cnki.issn.1000-7210.2021.03.020

Abstract
Figure/Table
References
Related Citation (5)

Download: PDF (2271 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract T₂ cutoff value is an important input for interpretation and evaluation of NMR (nuclear magne-tic resonance) logging data. The existing method of determining T₂ cutoff is deficient, and brings a great challenge to the NMR interpretation of complicated reservoirs. A new method for calculating T₂ cutoff value was proposed. Firstly, 21 core samples are classified into five types according to the morphological difference of NMR T₂ spectra under full brine saturation. The morphological characteristics of the NMR T₂ spectra in the states of full brine saturation and centrifugal irreducible water are analyzed. Then the normal distribution function is used to fit the NMR T₂ spectrum of centrifugal irreducible water or movable water in macropores. The simulated T₂ distributions are used to replace the experimental results of core samples to get the variable T₂ cutoff value. Then calculate irreducible water saturation (S_wi) and permeability. The advantage of the proposed method is that the T₂ cutoff can be directly acquired from the NMR T₂ distribution of full brine saturated condition. The actual data processing results show that the absolute error between the T₂ cutoff value determined by this method and the core-derived results is less than 2.0ms. The ab-solute error between the corresponding estimated S_wi and the core-derived results is less than 5.0%. Meanwhile, the predicted permeability is also in good agreement with the core-derived results. The method makes the applicability of NMR logging technique much improved.

Key words： NMR logging data T₂ cutoff irreducible water saturation (S_wi) normal distribution simulation

Received: 02 December 2020

PACS:

P631.8

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	ZHU Ming
	JIA Chunming
	MU Yuqing
	LI Jing
	HU Tingting

Cite this article:

ZHU Ming,JIA Chunming,MU Yuqing等. A method of predicting T₂ cutoffs from NMR logging data of tight glutenite reservoirs based on normal distribution simulation[J]. OGP, 2021, 56(3): 612-621.

URL:

http://www.ogp-cn.com/EN/10.13810/j.cnki.issn.1000-7210.2021.03.020 OR http://www.ogp-cn.com/EN/Y2021/V56/I3/612

[1]	谭茂金. 油气藏核磁共振测井理论与应用[M].北京:科学出版社,2017.TAN Maojin. Theory and Application of NMR Logging in Oil and Gas Reservoirs[M]. Science Press,Beijing,2017.
[2]	孟祥宁. 致密砂岩储层核磁共振测井评价方法[M].北京:中国石化出版社,2019.MENG Xiangning. NMR Logging Evaluation Method for Tight Sandstone Reservoir[M]. China Petrochemical Press,Beijing,2019.
[3]	肖立志,谢然红,廖广志. 中国复杂油气藏核磁共振测井理论与方法[M].北京:科学出版社,2012.XIAO Lizhi,XIE Ranhong,LIAO Guangzhi. Theory and Method of NMR Logging for Complicated Oil and Gas Reservoirs in China[M]. Science Press,Beijing,2012.
[4]	刘卫,肖忠祥,杨思玉,等. 利用核磁共振(NMR)测井资料评价储层孔隙结构方法的对比研究[J].石油地球物理勘探,2009,44(6):773-778.LIU Wei,XIAO Zhongxiang,YANG Siyu,et al. Comparative studies on methods of evaluation of re-servoir pore structure by using NMR (nuclear magne-tic resonance) well logging data[J].Oil Geophysical Prospecting,2009,44(6):773-778.
[5]	张超. 利用核磁共振T2谱计算致密砂岩储层渗透率新方法[J].测井技术,2018,42(5):550-556.ZHANG Chao. A new method for calculating permeability of tight sandstone reservoir by using NMR T2 spectrum[J].Well Logging Technology,2018,42(5):550-556.
[6]	张伟,万钧,吴意明,等. 基于多元统计的核磁共振测井可变T2截止值预测模型[J].核电子学与探测技术,2020,40(1):193-199.ZHANG Wei,WAN Jun,WU Yiming,et al. Prediction of nuclear magnetic resonance (NMR) T2 cutoff based on multivariate statistical method[J].Nuclear Electronics & Detection Technology,2020,40(1):193-199.
[7]	匡立春,毛志强,孙中春,等. 核磁共振测井技术在准噶尔盆地油气勘探开发中的应用[M].北京:石油工业出版社,2015.KUANG Lichun,MAO Zhiqiang,Sun Zhongchun,et al. Application of NMR in Junggar Basin Exploration and Development[M]. Petroleum Industry Press,Beijing,2015.
[8]	Xiao L,Li J R,Mao Z Q,et al. A method to determine nuclear magnetic resonance (NMR) T2 cutoff based on normal distribution simulation in tight sandstone reservoirs[J].Fuel,2018,225(8):472-482.
[9]	Ge X M,Fan Y R,Zhu X J,et al. Determination of nuclear magnetic resonance T2 cutoff value based on multifractal theory:An application in sandstone with complex pore structure[J].Geophysics,2015,80(1):D11-D21.
[10]	Cao G,Hou J G,Zou J Y,et al. The reservoir para-meter calculation method using the nuclear magnetic resonance log data[C].11th International Conference on Natural Computation (ICNC),2015,588-593.
[11]	Xiao L,Mao Z Q,Jin Y. Calculation of irreducible water saturation (Swirr) from NMR logs in tight gas sands[J].Applied Magnetic Resonance,2012,42(1):113-125.
[12]	Straley C,Morriss C E,Kenyon W E,et al. NMR in partially saturated rocks:laboratory insights on free fluid index and comparison with borehole logs[C].32nd Annual SPWLA Logging Symposium Transactions,1991,1-25.
[13]	Staley C. Magnetic resonance digital image analysis and permeability of porous media[J].Applied Physics Letter,1987,51(15):1146-1148.
[14]	Morriss C E,Maclnnis J,Freedman R,et al. Field test of an experimental pulsed nuclear magnetism tool[C].34th Annual SPWLA Logging Symposium Transactions,1993,1-23.
[15]	吴丰,司马立强,杨洪明,等. 柴西地区复杂岩性核磁共振T2截止值研究[J].测井技术,2014,38(2):144-149.WU Feng,SIMA Liqiang,YANG Hongming,et al. Research on NMR T2 cutoff of complex lithology in the west Qaidam Basin[J].Well Logging Technology,2014,38(2):144-149.
[16]	Parra J O,Hackert C L,Collier H A,et al. NMR and acoustic signatures in vuggy carbonate aquifers[C].42nd Annual SPWLA Logging Symposium Transacting,2001,1-11.
[17]	刘蝶. 核磁共振在低渗透砂岩低对比度油层成因分析及评价中的应用[D].北京:中国地质大学(北京),2020, 1-73.LIU Die. Application of Nuclear Magnetic Resonance in Genesis Analysis and Recognition of Low Permeability and Low Contrast Oil Layers[D]. China University of Geosciences (Beijing),2020,1-73.
[18]	高楚桥,何宗斌,吴洪深,等. 核磁共振T2截止值与毛细管压力的关系[J].石油地球物理勘探,2004,39(1):117-120.GAO Chuqiao,HE Zongbin,WU Hongshen,et al. Relationship between NMR T_2 cutoff and capillary pressure[J].Oil Geophysical Prospecting,2004,39(1):117-120.
[19]	汪中浩,章成广,肖承文,等. 低渗透储层T2截止值实验研究及其测井应用[J].石油物探,2004,43(5):508-510.WANG Zhonghao,ZHANG Chengguang,XIAO Chengwen,et al. T2 cutoff value in low-permeability reservoirs and its application[J].Geophysical Prospecting for Petroleum,2004,43(5):508-510.
[20]	邵维志,丁娱娇,肖斐,等. 利用T2谱形态确定T2截止值的方法探索[J].测井技术,2009,33(5):430-435.SHAO Weizhi,DING Yujiao,XIAO Fei,et al. On the method of determining T2 cutoff value with the T2 spectrum characteristics[J].Well Logging Technology,2009,33(5):430-435.
[21]	王谦,谭茂金,石玉江,等. 径向基函数神经网络法致密砂岩储层相对渗透率预测与含水率计算[J].石油地球物理勘探,2020,55(4):867-872.WANG Qian,TAN Maojin,SHI Yujiang,et al. Prediction of relative permeability and calculation of water cut of tight sandstone reservoir based on radial basis function neural network[J].Oil Geophysical Prospecting,2020,55(4):867-872.
[22]	金昌昆,王延光,尚新民,等. 微测井与方位加权插值精细近地表速度建模技术[J].石油地球物理勘探,2020,55(2):257-265.JIN Changkun,WANG Yanguang,SHANG Xinmin,et al. Near-surface velocity modeling based on micro-log and azimuth-weighted interpolation[J].Oil Geophysical Prospecting,2020,55(2):257-265.
[23]	Peng L,Zhang C,Ma H L,et al. Estimating irreducible water saturation and permeability of sandstones from nuclear magnetic resonance measurements by fractal analysis[J].Marine and Petroleum Geology,2019,110(7):565-574.
[24]	Rezaee R,Saeedi A,Clennell B. Tight gas sands permeability estimation from mercury injection capillary pressure and nuclear magnetic resonance data[J].Journal of Petroleum Science and Engineering,2012,88/89:92-99.
[25]	Mao Z Q,Xiao L,Wang Z N,et al. Estimation of permeability by integrating nuclear magnetic resonance (NMR) logs with mercury injection capillary pressure (MICP) data in tight gas sands[J].Applied Magnetic Resonance,2013,44(4):449-468.
[26]	Zhang H T,Li G R,Guo H P,et al. Applications of nuclear magnetic resonance (NMR) logging in tight sandstone reservoir pore structure characterization[J].Arabian Journal of Geosciences,2020,13(12):572.
[27]	Wei D F,Liu X P,Hu X X,et al. Estimation of permeability from NMR logs based on formation classification method in tight gas sands[J].Acta Geophysica,2015,63(5):1316-1338.
[28]	Lis-Śledziona A. Petrophysical rock typing and permeability prediction in tight sandstone reservoir[J].Acta Geophysica,2019,67(6):1895-1911.
[29]	Marta H J,Ricardo I F T,Marsha F,et al. Nuclear magnetic resonance characterization of porosity preserving microcrystalline quartz coatings in Fontainebleau sandstones[J].AAPG Bulletin,2019,103(9):2117-2137.
[30]	董雪梅,胡婷婷,霍进杰,等. 统计法在确定卡拉麦里气田物性下限中的应用[J].新疆地质,2011,29(2):242-245.DONG Xuemei,HU Tingting,HUO Jinjie,et al. Application of statistics method in determination lower bound of property in Kelameili gas field[J].Xinjiang Geology,2011,29(2):242-245.