A decomposition method of nuclear magnetic resonance T2 spectrum for identifying fluid properties

被引：0

作者：

Zhong J. ^{[1
,2
,3
]}

Yan R. ^{[3
]}

Zhang H. ^{[1
,2
,3
]}

Feng Y. ^{[4
]}

Li N. ^{[5
]}

Liu X. ^{[4
]}

机构：

[1] Exploration and Development Research Institute of PetroChina Changqing Oilfield Company, Xi'an

[2] National Engineering Laboratory for Exploration and Development of Low-Permeability Oil & Gas Fields, Xi'an

[3] PetroChina Changqing Oilfield Company, Xi'an

[4] Changqing Branch, China Petroleum Logging Co., Ltd., Xi'an

[5] Technology Center, China Petroleum Logging Co., Ltd., Xi'an

来源：

Shiyou Kantan Yu Kaifa/Petroleum Exploration and Development | 2020年 / 47卷 / 04期

关键词：

Component spectrum; Fitted T2 spectrum; Fluid identification; Free relaxation; Nuclear magnetic resonance; T2 spectrum decomposition method;

D O I：

10.11698/PED.2020.04.05

中图分类号：

学科分类号：

摘要：

Based on analysis of NMR T2 spectral characteristics, a new method for identifying fluid properties by decomposing T2 spectrum through signal analysis has been proposed. Because T2 spectrum satisfies lognormal distribution on transverse relaxation time axis, the T2 spectrum can be decomposed into 2 to 5 independent component spectra by fitting the T2 spectrum with Gauss functions. By analyzing the free relaxation response characteristics of crude oil and formation water, the dynamic response characteristics of the core mutual drive between oil and water, the petrophysical significance of each component spectrum is clarified. T2 spectrum can be decomposed into clay bound water component spectrum, capillary bound fluid component spectrum, micropores fluid component spectrum and macropores fluid component spectrum. According to the nature of crude oil in the target area, the distribution range of T2 component spectral peaks of oil-bearing reservoir is 165-500 ms on T2 time axis. This range can be used to accurately identify fluid properties. This method has high adaptability in identifying complex oil and water layers in low porosity and permeability reservoirs. © 2020, The Editorial Board of Petroleum Exploration and Development. All right reserved.

引用

页码：691 / 702

页数：11

共 13 条

[1]

XIAO Lizhi, Nuclear magnetic resonance imaging logging and rock nuclear magnetic resonance and its application, (1998)

[2]

LIU Tangyan, ZHANG Haining, SHI Yujiang, Reservoir pore structure evaluation technology and application: Theory and method realization of spherical tube model, (2017)

[3]

FENG Cheng, SHI Yujiang, HAO Jianfei, Et al., Nuclear magnetic resonance features of low-permeability reservoirs with complex wettability, Petroleum Exploration and Development, 44, 2, pp. 252-257, (2017)

[4]

XIAO Lizhi, Some important issues for NMR logging applications in China, Well Logging Technology, 31, 5, pp. 401-407, (2007)

[5]

JIANG T M, JAIN V, BELOTSERKOVSKAYA A, Et al., Evaluating producible hydrocarbons and reservoit quality in organic shale reservoirs using Nuclear Magnetic Resonance (NMR) factor analysis, (2015)

[6]

JAIN V, MINH C C, HEATON N, Et al., Characterization of underlying pore and fluid structure using factor analysis on NMR data, New Orleans: SPWLA 54th Annual Logging Symposium, (2013)

[7]

HU Falong, ZHOU Cancan, LI Chaoliu, Et al., Water spectrum method of NMR logging for identifying fluids, Petroleum Exploration and Development, 43, 2, pp. 244-252, (2016)

[8]

JIA Junping, HE Xiaoqun, JIN Yongjin, Statistics, (2014)

[9]

DU P, KIBBE W A, LIN S M., Improved peak detection in mass spectrum by incorporating continuous wavelet transform-based pattern matching, Bioinformatics, 22, 17, pp. 2059-2065, (2006)

[10]

XIAO Lizhi, XIE Ranhong, Applications of NMR to oil well logging and formation evaluation, Engineering Science, 5, 9, pp. 87-94, (2003)

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