Tongcheng Han
Commonwealth Scientific and Industrial Research Organisation
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Publication
Featured researches published by Tongcheng Han.
Scientific Reports | 2016
Guohui Chen; Shuangfang Lu; Junfang Zhang; Qingzhong Xue; Tongcheng Han; Haitao Xue; Shansi Tian; Jinbu Li; Chenxi Xu; Marina Pervukhina; Ben Clennell
Understanding the adsorption mechanisms of CO2 and N2 in illite, one of the main components of clay in shale, is important to improve the precision of the shale gas exploration and development. We investigated the adsorption mechanisms of CO2 and N2 in K-illite with varying pore sizes at the temperature of 333, 363 and 393 K over a broad range of pressures up to 30 MPa using the grand canonical Monte Carlo (GCMC) simulation method. The simulation system is proved to be reasonable and suitable through the discussion of the impact of cation dynamics and pore wall thickness. The simulation results of the excess adsorption amount, expressed per unit surface area of illite, is in general consistency with published experimental results. It is found that the sorption potential overlaps in micropores, leading to a decreasing excess adsorption amount with the increase of pore size at low pressure, and a reverse trend at high pressure. The excess adsorption amount increases with increasing pressure to a maximum and then decreases with further increase in the pressure, and the decreasing amount is found to increase with the increasing pore size. For pores with size greater larger than 2 nm, the overlap effect disappears.
71st EAGE Conference and Exhibition incorporating SPE EUROPEC 2009 | 2009
Tongcheng Han; Angus I. Best; Jeremy Sothcott; Lucy M. MacGregor; Timothy A. Minshull
A laboratory system for measuring electrical resistivity and ultrasonic wave properties of reservoir rocks was developed. Joint ultrasonic and resistivity measurements were made on 14 sandstone samples showing a range of porosities, permeabilities and cla
Geofluids | 2018
Tongcheng Han; Roman Beloborodov; Marina Pervukhina; Matthew Josh; Yanlin Cui; Pengyao Zhi
Accurately modeling the anisotropic dielectric properties of shales is important for the interpretation of dielectric data acquired from shales as source rocks and unconventional reservoirs. We have developed a multiphase incremental model for the frequency dependent anisotropic dielectric properties of sedimentary rocks and presented an approach based on the developed model to simulate the measured anisotropic dielectric behaviors of artificial shales. The new model was built based on the theoretical basis of differential effective medium models for any number of mineral grain components aligned in any direction and was shown to be independent of the mixing order. The model incorporates the measured orientation distribution function of the clay particles to determine the shale dielectric anisotropy, and the frequency dependent dielectric behaviors of the wet clay minerals are obtained by inverting the dielectric properties of the artificial sample composed of clay and the same brine as in other artificial shales. The modeling technique combined important polarization mechanisms in the intermediate frequency range and was shown to give satisfactory fit to the measured frequency dependent anisotropic relative permittivity and conductivity of the artificial shales with varying silt contents by using a reasonable aspect ratio and constant dielectric parameters for the silt grains.
Geofluids | 2017
Roman Beloborodov; Marina Pervukhina; Tongcheng Han; Matthew Josh
High dielectric contrast between water and hydrocarbons provides a useful method for distinguishing between producible layers of reservoir rocks and surrounding media. Dielectric response at high frequencies is related to the moisture content of rocks. Correlations between the dielectric permittivity and specific surface area can be used for the estimation of elastic and geomechanical properties of rocks. Knowledge of dielectric loss-factor and relaxation frequency in shales is critical for the design of techniques for effective hydrocarbon extraction and production from unconventional reservoirs. Although applicability of dielectric measurements is intriguing, the data interpretation is very challenging due to many factors influencing the dielectric response. For instance, dielectric permittivity is determined by mineralogical composition of solid fraction, volumetric content and composition of saturating fluid, rock microstructure and geometrical features of its solid components and pore space, temperature, and pressure. In this experimental study, we investigate the frequency dependent dielectric properties of artificial shale rocks prepared from silt-clay mixtures via mechanical compaction. Samples are prepared with various clay contents and pore fluids of different salinity and cation compositions. Measurements of dielectric properties are conducted in two orientations to investigate the dielectric anisotropy as the samples acquire strongly oriented microstructures during the compaction process.
72nd EAGE Conference and Exhibition incorporating SPE EUROPEC 2010 | 2010
Tongcheng Han; Angus I. Best; Lucy M. MacGregor; Jeremy Sothcott; Timothy A. Minshull
We develop a 3-phase (quartz grain and brine pore fluid with clay dispersed in the pores) combined self-consistent approximation and differential effective medium (SCA/DEM) model for joint elastic velocity and electrical resistivity of reservoir sandstones. We firstly compare this joint velocity-resistivity model to experimental data obtained from 67 sandstone samples with a wide range of petrophysical properties to see how well it performs, and then we vary the key parameters (i.e., clay content and grain aspect ratio) to investigate how they might affect the joint properties.
Geophysical Prospecting | 2011
Tongcheng Han; Angus I. Best; Jeremy Sothcott; Lucy M. MacGregor
Geophysical Prospecting | 2011
Tongcheng Han; Angus I. Best; Jeremy Sothcott; Lucy M. MacGregor
Geophysical Prospecting | 2011
Tongcheng Han; Angus I. Best; Lucy M. MacGregor; Jeremy Sothcott; Timothy A. Minshull
Journal of Applied Geophysics | 2015
Tongcheng Han; Angus I. Best; Jeremy Sothcott; Laurence North; Lucy M. MacGregor
Fuel | 2017
Guohui Chen; Shuangfang Lu; Junfang Zhang; Qingzhong Xue; Tongcheng Han; Haitao Xue; Shansi Tian; Jinbu Li; Chenxi Xu; Marina Pervukhina
Collaboration
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Commonwealth Scientific and Industrial Research Organisation
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View shared research outputsCommonwealth Scientific and Industrial Research Organisation
View shared research outputsCommonwealth Scientific and Industrial Research Organisation
View shared research outputsCommonwealth Scientific and Industrial Research Organisation
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