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Study on Rock-Electric Characteristics of Cracked Porous Rocks by the Novel Multifactor Conductivity Model.

He Meng1,2, Yueming Ye2, Cun Yang2

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Summary

A new multifactor conductivity model explains rock electrical properties better than Archie's formula, especially for cracked rocks. The model highlights how conductive matrices and cracks influence conductivity, crucial for understanding low-resistivity zones.

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Area of Science:

  • Geophysics
  • Petrophysics
  • Rock Physics

Background:

  • Archie's formula is limited in explaining the complex electrical properties of cracked porous rocks due to its single-factor approach.
  • Multiple factors like matrix conductivity, cracks, and fluid content significantly influence rock conductivity.

Purpose of the Study:

  • To develop a generalized multifactor conductivity model for accurately describing the conductive mechanisms of cracked porous rocks.
  • To investigate the impact of various factors on rock conductivity and validate the model's efficacy.

Main Methods:

  • Proposed a generalized multifactor conductivity model incorporating series-parallel structures, conductive matrix, cracks, and fluids.
  • Conducted simulations to analyze the influence of different factors on rock conductivity.
  • Validated the model using experimental data from cracked porous rocks.

Main Results:

  • The multifactor model accurately describes rock-electric characteristics, outperforming Archie's formula for cracked porous rocks.
  • Both conductive matrix and cracks were found to enhance conductive ability, explaining non-Archie behavior and low-resistivity pay zones.
  • Rock conductivity shows higher sensitivity to the conductive matrix and cracks in tight reservoirs (porosity < 10%).

Conclusions:

  • The developed multifactor model provides a more accurate framework for understanding rock conductivity, applicable to both cracked and porous rocks.
  • The model's validation with experimental data confirms its advantage in predicting and explaining the conductive properties of complex rock formations.
  • Identifying the roles of conductive matrices and cracks is essential for interpreting geophysical data and reservoir characterization.