Pore‐Scale Explanation of the Archie's Cementation Exponent: Microstructure, Electrical Anisotropy, and Numerical Experiments

Yue, Wenzheng

doi:10.1029/2019gl082585

Cited by 23 publications

(7 citation statements)

References 36 publications

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“…To explain non-Archie behavior and obtain accurate water saturation information, many researchers have focused on studying the parameters of Archie's law. The results show that the parameters of Archie's law are not constant and are influenced by pore geometrical factors [11][12][13][14][15][16][17][18]. With respect to gas hydrates, the saturation exponent of Archie's law calculated from field logging data changes significantly with the sites [3,19,20].…”

Section: Introductionmentioning

confidence: 94%

Pore-Scale Investigation of the Electrical Property and Saturation Exponent of Archie’s Law in Hydrate-Bearing Sediments

Zhao

Liu

et al. 2022

JMSE

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Characterizing the electrical property of hydrate-bearing sediments is essential for hydrate reservoir identification and saturation evaluation. As the major contributor to electrical conductivity, pore water is a key factor in characterizing the electrical properties of hydrate-bearing sediments. The objective of this study is to clarify the effect of hydrates on pore water and the relationship between pore water characteristics and the saturation exponent of Archie’s law in hydrate-bearing sediments. A combination of X-ray computed tomography and resistivity measurement technology is used to derive the three-dimensional spatial structure and resistivity of hydrate-bearing sediments simultaneously, which is helpful to characterize pore water and investigate the saturation exponent of Archie’s law at the micro-scale. The results show that the resistivity of hydrate-bearing sediments is controlled by changes in pore water distribution and connectivity caused by hydrate formation. With the increase of hydrate saturation, pore water connectivity decreases, but the average coordination number and tortuosity increase due to much smaller and more tortuous throats of pore water divided by hydrate particles. It is also found that the saturation exponent of Archie’s law is controlled by the distribution and connectivity of pore water. As the parameters of connected pore water (e.g., porosity, water saturation) decrease, the saturation exponent decreases. At a low hydrate-saturation stage, the saturation exponent of Archie’s law changes obviously due to the complicated pore structure of hydrate-bearing sediments. A new logarithmic relationship between the saturation exponent of Archie’s law and the tortuosity of pore water is proposed which helps to calculate field hydrate saturation using resistivity logging data.

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Section: Introductionmentioning

confidence: 94%

Pore-Scale Investigation of the Electrical Property and Saturation Exponent of Archie’s Law in Hydrate-Bearing Sediments

Zhao

Liu

et al. 2022

JMSE

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“…2019). The lowered

\frac{ρ_{o}}{ρ_{w}}

values do not accurately represent F i values, which should not have any influence on surface conduction; therefore, the latter is designated as the apparent resistivity formation factor, F a , as shown in equation (3) (Glover 2016; Yue 2019):

F_{a} = \frac{ρ_{o}}{ρ_{w}} \neq F_{i} .

…”

Section: Methodology: Spycrid's Workflowmentioning

confidence: 99%

An unconventional method for calculating porosity of marine clay deposits using the 2D resistivity method

Rosli

Saad

Rahman

et al. 2020

Near Surface Geophysics

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Various methods were earlier designed to calculate porosity of a formation, but many of them are reliant on physical soil sampling and/or laboratory measurements. The present work examines a recently proposed method, which we call here as Sample-free Porosity Calculation from Resistivity Imaging Data (SPyCRID), to calculate porosity of unconsolidated soils. By conjoining Archie's and Waxman-Smits' equations, SPy-CRID can achieve high accuracy in porosity calculation, while requiring no physical soil-sampling data. Two-dimensional resistivity data acquired at Segantang Garam were modelled to calibrate SPyCRID's workflow and to devise data constraints for marine clay and brackish pore-fluid conditions. Measured porosities from soil samples were used only for calibration and validation purposes. With data transformation added into the workflow, the performance of SPyCRID was improved as it was possible to achieve more precise value for the calculated porosity (error ≤3.1%). The final step to establish SPyCRID's competency was implemented through testing SPy-CRID at the Nibong Tebal test site that has similar geological conditions to the model. Results from this test site showed nominal errors (≤3.9%) in the calculated porosity. SPyCRID could successfully calculate the porosity of the unconsolidated, marine clayey soils with a confidence limit exceeding 96%, while requiring no physical sampling data.

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“…The cementation exponent is a geometric factor that has been widely employed with great success for the electrical modelling of rock properties (e.g. Archie, 1942; Asami, 2002; Berg, 2007; Yue, 2019). Recently, the cementation exponent is also shown to have the potential for the simulation of elastic rock properties (Han et al ., 2020a).…”

Section: Theorymentioning

confidence: 99%

Applicability of cross‐property differential effective medium model to the joint elastic–electrical properties of reservoir sandstones

Han

Yan

et al. 2022

Geophysical Prospecting

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Joint seismic and controlled-source electromagnetic surveys can reduce uncertainty and improve hydrocarbon quantification. However, the successful interpretation of joint seismic and controlled-source electromagnetic survey data requires a valid rock physics model to link the elastic and electrical rock properties. A cross-property differential effective medium is recently proposed with pores embedded in the mineral matrix. We have presented a technique to test the applicability of the cross-property differential effective medium model to the joint elastic-electrical properties of reservoir sandstones. The method is based on the common employment of measured sample porosity and inverted equivalent pore aspect ratio from cementation exponent for the modelling. Application of the modelling approach to a laboratory joint elasticelectrical dataset shows that there is a systematic discrepancy in the modelled and measured joint elastic-electrical properties. It is also found that an equivalent pore aspect ratio is existing to reasonably predict the trend of the joint elastic-electrical data; however, the porosity used in the modelling is far from their measured values. Conversely, if the measured sample porosity is employed, the mentioned equivalent pore aspect ratio fails to fit either of the measured elastic and electrical rock properties. The results indicate the incapability of the cross-property differential effective medium model for the joint elastic-electrical modelling of reservoir rocks and suggest the requirement of a new model to link the elastic and electrical properties.

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Pore‐Scale Explanation of the Archie's Cementation Exponent: Microstructure, Electrical Anisotropy, and Numerical Experiments

Cited by 23 publications

References 36 publications

Pore-Scale Investigation of the Electrical Property and Saturation Exponent of Archie’s Law in Hydrate-Bearing Sediments

Pore-Scale Investigation of the Electrical Property and Saturation Exponent of Archie’s Law in Hydrate-Bearing Sediments

An unconventional method for calculating porosity of marine clay deposits using the 2D resistivity method

Applicability of cross‐property differential effective medium model to the joint elastic–electrical properties of reservoir sandstones

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