Guangzhi Liao
China University of Petroleum
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Featured researches published by Guangzhi Liao.
Journal of Magnetic Resonance | 2014
Feng Deng; Lizhi Xiao; Weiliang Chen; Huabing Liu; Guangzhi Liao; Mengying Wang; Qingming Xie
The rapid prediction of fluid viscosity, especially the fluid in heavy-oil petroleum reservoirs, is of great importance for oil exploration and transportation. We suggest a new method for rapid prediction of fluid viscosity using two-dimensional (2D) NMR relaxation time distributions. DEFIR, Driven-Equilibrium Fast-Inversion Recovery, a new pulse sequence for rapid measurement of 2D relaxation times, is proposed. The 2D relation between the ratio of transverse relaxation time to longitudinal relaxation time (T1/T2) and T1 distribution of fluid are obtained by means of DEFIR with only two one-dimensional measurements. The measurement speed of DEFIR pulse sequence over 2 times as fast as that of the traditional 2D method. Using Bloembergen theory, the relation between the distributions and fluid viscosity is found. Precise method for viscosity prediction is then established. Finally, we apply this method to a down-hole NMR fluid analysis system and realized on-site and on-line prediction of viscosity for formation fluids. The results demonstrated that the new method for viscosity prediction is efficient and accurate.
Journal of Magnetic Resonance | 2016
Yan Zhang; Lizhi Xiao; Guangzhi Liao; Yi-Qiao Song
The time-dependent diffusion coefficient (D) is a powerful tool to probe microstructure in porous media, and can be obtained by the NMR method. In a real porous sample, molecular diffusion is very complex. Here we present a new method which directly measures the relationship between effective diffusion coefficients and pore size distributions without knowing surface relaxivity. This method is used to extract structural information and explore the relationship between D and a in porous media having broad pore size distributions. The diffusion information is encoded by the Pulsed Field Gradient (PFG) method and the pore size distributions are acquired by the Decay due to Diffusion in the Internal Field (DDIF) method. Two model samples were measured to verify this method. Restricted diffusion was analyzed, and shows that most fluid molecules experience pore wall. The D(a) curves obtained from correlation maps were fitted to the Padé approximant equation and a good agreement was found between the fitting lines and the measured data. Then a sandstone sample with unknown structure was measured. The state of confined fluids was analyzed and structural information, such as pore size distributions, were extracted. The D - T1 correlation maps were also obtained using the same method, which yielded surface relaxivities for different samples. All the experiments were conducted on 2MHz NMR equipment to obtain accurate diffusion information, where internal gradients can be neglected. This method is expected to have useful applications in the oil industry, particularly for NMR logging in the future.
Journal of Magnetic Resonance | 2016
Yan Zhang; Lizhi Xiao; Guangzhi Liao; Bernhard Blümich
Internal magnetic field gradients Gint, which arise from the magnetic susceptibility difference Δχ between solid matrix and fluid in porous media relate to the pore geometry. However, this relationship is complex and not well understood. Here we correlate internal-gradient distributions to pore-size distributions directly to examine internal gradients in detail at low field NMR. The pore-size distributions were obtained by the method of Decay due to Diffusion in the Internal Field (DDIF), and the internal-gradient distributions were measured with the Carr-Purcell-Meiboom-Gill (CPMG) method. The internal-gradient-pore-size distributions correlation maps were obtained for water in packs of glass beads with different diameter and in a sandstone sample. The relationship between internal gradients and pore structure is analyzed in detail by considering the restricted diffusion of fluids in porous samples. For each case diffusion regimes are assigned by plotting normalized CPMG data and comparing the diffusion lengths, the dephasing lengths and pore diameters. In the free-diffusion limit, the correlation maps reveal the true relationship between pore structure and internal gradients so that Δχ can be approximated from the correlation maps. This limit is met most easily at low field. It provides information about porous media, which is expected to benefit the oil industry, in particular NMR well logging.
Magnetic Resonance in Chemistry | 2016
Zijian Jia; Lizhi Xiao; Zhizhan Wang; Guangzhi Liao; Yan Zhang; Can Liang
Nuclear magnetic resonance (NMR) techniques are widely used to identify pure substances and probe protein dynamics. Oil is a complex mixture composed of hydrocarbons, which have a wide range of molecular size distribution. Previous work show that empirical correlations of relaxation times and diffusion coefficients were found for simple alkane mixtures, and also the shape of the relaxation and diffusion distribution functions are related to the composition of the fluids. The 2D NMR is a promising qualitative evaluation method for oil composition. But uncertainty in the interpretation of crude oil indicated further study was required. In this research, the effect of each composition on relaxation distribution functions is analyzed in detail. We also suggest a new method for prediction of the rotational correlation time distribution of crude oil molecules using low field NMR (LF‐NMR) relaxation time distributions. A set of down‐hole NMR fluid analysis system is independently designed and developed for fluid measurement. We illustrate this with relaxation–relaxation correlation experiments and rotational correlation time distributions on a series of hydrocarbon mixtures that employ our laboratory‐designed downhole NMR fluid analyzer. The LF‐NMR is a useful tool for detecting oil composition and monitoring oil property changes. Copyright
Scientific Reports | 2018
Jie Wang; Lizhi Xiao; Guangzhi Liao; Yan Zhang; Long Guo; Christoph H. Arns; Zhe Sun
It is highly important to understand the heterogeneous wettability properties of porous media for enhanced oil recovery (EOR). However, wettability measurements are still challenging in directly investigating the wettability of porous media. In this paper, we propose a multidimensional nuclear magnetic resonance (NMR) method and the concept of apparent contact angles to characterize the heterogeneous wettability of porous media. The apparent contact angle, which is determined by both the wetting surface coverage and the local wettability (wetting contact angles of each homogeneous wetting regions or wetting patches), is first introduced as an indicator of the heterogeneous wettability of porous media using the NMR method. For homogeneously wetting patches, the relaxation time ratio T1/T2 is employed to probe the local wettabiity of wetting patches. The T2 − D is introduced to obtain the wetting surface coverage using the effective relaxivity. Numerical simulations are conducted to validate this method.
Magnetic Resonance Imaging | 2018
Wei Liu; Lizhi Xiao; Guangzhi Liao; Yan Zhang; Sihui Luo
The downhole circumferential scanning magnetic resonance logging is able to image saturation distribution and fluid properties of stratum around a borehole, thus providing relevant and abundant information for formation evaluation. The device employs a phase-controlled excitation device based on combined array structure to accomplish three dimensional data acquisition from axial, radial and circumferential directions. This paper focuses on the design principle of device and the structure of electronic control system. A mutual coupling analysis with array antenna was carried out using inductance coupling principle, and realize the decoupling and energy discharge compensation of array antennas. The circumferential scanning nuclear magnetic resonance technique has a potential of overcoming the weakness of two dimensional measurements and raising new applications that it determines the azimuth of the fluid in the borehole and realizes the imaging measurement of the pore structure and the reservoir fluid.
Magnetic Resonance Imaging | 2018
Zhou Yu; Yan Zhang; Lizhi Xiao; Guangzhi Liao
Pore size distribution and surface relaxivity are two important properties of porous media such as rock samples and can be obtained by NMR methods. However, it is difficult to obtain these information beyond the fast diffusion limit. Here we present a new method to directly characterize the averaged pore size of a porous sample with a narrow pore size distribution. This method is based on the parallel plates pore model and the T2-T2 correlation sequence. The pore size (a) - surface relaxivity (ρ) correlation maps were obtained using the non-negative least squares method. Three kinds of glass bead samples were measured and the averaged pore size and surface relaxivity were extracted.
Magnetic Resonance Imaging | 2018
Sihui Luo; Lizhi Xiao; Xin Li; Guangzhi Liao; Huabing Liu; Zhengduo Wang; Zhe Sun; Wei Liu; Yangyang Xu
In low-field NMR, depth information and radial profile information of downhole formation can be easily acquired with the help of static gradient magnetic field produced by permanent magnets, called downhole NMR imaging. Based on the hypothesis that the formation is homogeneous, average signals detected by centralized or decentralized sensors can provide enough information for petrophysical parameters. In fact, the inhomogeneity of formation may have serious impact on description of the characteristics of formation and oil/gas location which is rarely studied in NMR well-logging. To improve this, we design and implement a new quadrupolar magnet array aimed at achieving azimuthal measurement in this paper. A new quadrupolar magnet array is consisted of four bread-shaped magnets combined with additional small hexangular magnets to produce enough strength and high homogeneity of static field along with circumferential direction at deeper DOI (depth of investigation). Azimuthal measurements are achieved by using coil array combined with quadrupolar magnet array.
Magnetic Resonance Imaging | 2018
Zhe Sun; Lizhi Xiao; Xueli Hou; Sihui Luo; Guangzhi Liao; Yan Zhang; Wei Liu; Jie Wang; Weiliang Chen; Zhengduo Wang; Lei Li; Yifan Wang; Feixue Gong
In general, only the depth information can be acquired using the centralized downhole NMR tools. The radial profile information is equally important to the depth. Improving the pad tools, also called side-looking tools, is the appropriate direction for solving this problem. The side-looking downhole measurement can provide depth and radially resolved information of the reservoir. In this research a new side-looking tool which includes main magnets and pre-polarized magnets has been designed and built. The pre-polarized magnets in both sides are used to adjust the homogeneity of magnetic field along the length direction of the instrument and polarize the samples when the tool is moving up and down along the borehole with a speed up to 500 m/h. A winding coil with several frequencies corresponding to different depths has been designed to match the static magnetic field. The sensitive region of this tool is about one-third of a hollow cylinder at every frequency which gives a side-looking image of the borehole wall. We have demonstrated that this new side-looking tool behaves well with an echo time short to 0.25 ms, which ensures the richness and accuracy of the measurements. Such a new side-looking tool is suitable for the detection of unconventional reservoirs.
Magnetic Resonance Imaging | 2018
Jie Wang; Lizhi Xiao; Guangzhi Liao; Yan Zhang; Yushi Cui; Zhe Sun; Yu Dong; Lin Hu
Applying the concept of effective relaxivity to characterize wettability is based on the configuration of fluid distributions in porous media. However, in mixed-wet porous media with intermediate-wet patches (homogeneous wetting region), effective surface relaxivity cannot fully characterize wettability because fluid distributions are not directly corresponding to wetting patch distributions. Patches with different wettability interact with the same fluid differently, which leads to different surface relaxivity. The distribution of this kind surface relaxivity from porous media saturated with single fluid matches mixed wettability distribution. Here, we apply decay due to diffusion in internal field plus Carr-Purcell-Meiboom-Gill (DDIF-CPMG) method to obtain T2 and the pore size distribution correlation. The variation of surface relaxivity obtained from the correlation map is used to characterize wettability distributions of mixed-wet porous media. In this paper, we also redefine a parameter based on surface relaxivity distribution to evaluate mixed wettability under intermediate-wet condition. The experiment results with limestones show that, after wettability alteration of the sample, the distribution of the surface relaxivity is changed and closely correlated with pore size distribution, which demonstrates the features of mixed wettability under intermediate-wet conditions.