Thermal conductivity estimation model considering the effect of water saturation explaining the heterogeneity of rock thermal conductivity

Geothermics ◽  
2017 ◽  
Vol 66 ◽  
pp. 1-12 ◽  
Author(s):  
Katharina Albert ◽  
Marcellus Schulze ◽  
Claudia Franz ◽  
Roland Koenigsdorff ◽  
Kai Zosseder
2020 ◽  
Vol 12 (1) ◽  
pp. 299-306
Author(s):  
Jiang Jia ◽  
Shizhen Ke ◽  
Junjian Li ◽  
Zhengming Kang ◽  
Xuerui Ma ◽  
...  

AbstractLow-frequency resistivity logging plays an important role in the field of petroleum exploration, but the complex resistivity spectrum of rock also contains a large amount of information about reservoir parameters. The complex resistivity spectra of 15 natural sandstone cores from western China, with different water saturations, were measured with an impedance analyzer. The pore space of each core was saturated with NaCl solution, and measurements were collected at a frequency range of 40–15 MHz. The results showed a linear relationship between the real resistivity at 1 kHz and the maximum values of imaginary resistivity for each core with different water saturations. The slopes of the linear best-fit lines had good linear relationships with the porosity and the permeability of cores. Based on this, a permeability estimation model was proposed and tested. In addition, the maxima of imaginary resistivity had power exponential relationships with the porosity and the water saturation of the cores. A saturation evaluation model based on the maxima of imaginary resistivity was established by imitating Archie’s formula. The new models were found to be feasible for determining the permeability and saturation of sandstone based on complex resistivity spectrum measurements. These models advance the application of complex resistivity spectrum in petrophysics.


Geothermics ◽  
2020 ◽  
Vol 83 ◽  
pp. 101736 ◽  
Author(s):  
Zheng-Wei Li ◽  
Yan-Jun Zhang ◽  
Yan-Hua Gong ◽  
Guo-Qiang Zhu

2019 ◽  
Vol 3 (1) ◽  
pp. 21
Author(s):  
Omar M. Basha

The effect of water on the solubility of syngas in hydrocarbons has typically been ignored when developing models for Fischer-Tropsch slurry bubble column reactors (SBCR), despite water being a major by-product. Therefore, a generalized correlation was developed to predict water solubility in hydrocarbons at high temperatures, and was used to calculate the effect of water saturation on H2 and CO solubility in hydrocarbons using the Span Wagner equation of state. The presence of water was shown to have a much more significant effect on H2 solubility in hydrocarbons, compared to CO.


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