scholarly journals Quantitative analysis of the influence of pore structure parameters on remaining oil after polymer flooding based on digital network model

2021 ◽  
Vol 651 (3) ◽  
pp. 032005
Author(s):  
Huifen Xia ◽  
Siqi Zhang ◽  
Lihui Wang ◽  
Lili Jiang ◽  
Tingyuan Yang
Keyword(s):  
Quantitative Analysis ◽  
Pore Structure ◽  
Network Model ◽  
Polymer Flooding ◽  
Structure Parameters ◽  
Digital Network ◽  
Remaining Oil

Influence of pore structure parameters on flow characteristics based on a digital rock and the pore network model

2016 ◽  
Vol 31 ◽  
pp. 156-163 ◽  
Author(s):  
Senyou An ◽  
Jun Yao ◽  
Yongfei Yang ◽  
Lei Zhang ◽  
Jianlin Zhao ◽  
...  
Keyword(s):  
Pore Structure ◽  
Network Model ◽  
Flow Characteristics ◽  
Pore Network ◽  
Pore Network Model ◽  
Structure Parameters ◽  
Digital Rock

Wireline Log Interpretation Method of Remaining Oil Saturation in Polymer Flooding Reservoir

2013 ◽  
Vol 295-298 ◽  
pp. 3124-3128
Author(s):  
Ying Hua Yu ◽  
Qing Guo Zhang ◽  
Xiang Li Zhong
Keyword(s):  
Theoretical Analysis ◽  
Pore Structure ◽  
Physical Model ◽  
Polymer Flooding ◽  
Oil Exploration ◽  
Oil Saturation ◽  
Remaining Oil ◽  
Practical Development ◽  
Log Interpretation ◽  
Interpretation Method

Interpreting the remaining oil saturation in polymer flooding reservoir is very important for the oil exploration and development. Based on the original physical model of Archie formula, a kind of remaining oil saturation interpretation method for the polymer flooding reservoir is proposed, on the analysis of the variation rules of Archie parameters caused by the polymer influences in the reservoir microscopic pore structure, conductivity and wettability in this article. Theoretical analysis and actual applications show that Archie formula is still applied to calculate the remaining oil saturation for polymer flooding reservoir. This formula form is simple, easy to calculate the parameters, the interpretation accuracy can satisfy the practical development needs, and can be widely used for polymer flooding reservoir.

scholarly journals Microscopic remaining oil distribution and quantitative analysis of polymer flooding based on CT scanning

2019 ◽  
Vol 3 (4) ◽  
pp. 448-456 ◽  
Author(s):  
Xin Wang ◽  
Hongwei Yin ◽  
Xia Zhao ◽  
Bingxian Li ◽  
Yongfei Yang
Keyword(s):  
Quantitative Analysis ◽  
Ct Scanning ◽  
Polymer Flooding ◽  
Oil Distribution ◽  
Remaining Oil ◽  
Remaining Oil Distribution

scholarly journals Porous Structure and Surface Chemistry of Active Carbons

1993 ◽  
Vol 10 (1-4) ◽  
pp. 17-26 ◽  
Author(s):  
M.M. Dubinin ◽  
N.S. Polyakov ◽  
G.A. Petukhova
Keyword(s):  
Comparative Analysis ◽  
Quantitative Analysis ◽  
Surface Chemistry ◽  
Physicochemical Properties ◽  
Porous Structure ◽  
Pore Structure ◽  
Water Vapour ◽  
Structure Parameters ◽  
Active Carbons ◽  
Adsorption Of Water

The adsorbability on active carbons of substances with different physicochemical properties has been investigated and a comparative analysis of the pore structure parameters of the active carbons as estimated from the sorption of substances with various molecular diameters has been made. The influence of the surface chemistry of carbon sorbents on the adsorption of water vapour has also been studied. The need for a quantitative analysis of the pore structure parameters and the surface chemistry of active carbons as a basis for their universal characterization is discussed.

Are activated carbon pore structure parameters linearly positively related to its mass-specific capacitance?

2021 ◽  
Author(s):  
Huanhuan Ma ◽  
Liangcai Wang ◽  
Xin Feng ◽  
Yu Chen ◽  
Jielong Wu ◽  
...  
Keyword(s):  
Activated Carbon ◽  
Pore Structure ◽  
Specific Capacitance ◽  
Structure Parameters

Porosity estimation based on rock skeleton general formula and comprehensive pore structure parameter – An application to a tight-sand reservoir

2021 ◽  
pp. 1-59
Author(s):  
Kai Lin ◽  
Xilei He ◽  
Bo Zhang ◽  
Xiaotao Wen ◽  
Zhenhua He ◽  
...  
Keyword(s):  
Aspect Ratio ◽  
Pore Structure ◽  
Seismic Data ◽  
Rock Physics ◽  
Structure Parameters ◽  
Pore Structure Parameter ◽  
Elastic Parameters ◽  
Physics Model ◽  
Rock Physics Model ◽  
Porosity Estimation

Most of current 3D reservoir’s porosity estimation methods are based on analyzing the elastic parameters inverted from seismic data. It is well-known that elastic parameters vary with pore structure parameters such as pore aspect ratio, consolidate coefficient, critical porosity, etc. Thus, we may obtain inaccurate 3D porosity estimation if the chosen rock physics model fails properly address the effects of pore structure parameters on the elastic parameters. However, most of current rock physics models only consider one pore structure parameter such as pore aspect ratio or consolidation coefficient. To consider the effect of multiple pore structure parameters on the elastic parameters, we propose a comprehensive pore structure (CPS) parameter set that is generalized from the current popular rock physics models. The new CPS set is based on the first order approximation of current rock physics models that consider the effect of pore aspect ratio on elastic parameters. The new CPS set can accurately simulate the behavior of current rock physics models that consider the effect of pore structure parameters on elastic parameters. To demonstrate the effectiveness of proposed parameters in porosity estimation, we use a theoretical model to demonstrate that the proposed CPS parameter set properly addresses the effect of pore aspect ratio on elastic parameters such as velocity and porosity. Then, we obtain a 3D porosity estimation for a tight sand reservoir by applying it seismic data. We also predict the porosity of the tight sand reservoir by using neural network algorithm and a rock physics model that is commonly used in porosity estimation. The comparison demonstrates that predicted porosity has higher correlation with the porosity logs at the blind well locations.

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