M. I. Epov, E. P. Shurina, D. A. Arkhipov, D. V. Dobrolyubova, N. V. Shtabel’, E. I. Shtan’ko
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Numerical Modeling of the Induction Logging Signal
in Anisotropic Oil and Gas Reservoirs
with a Layered Structure
The aim of this work is to analyze the effect of the anisotropic nature of the electric
conductivity in an oil-bearing formation on the induction logging signal. The numerical modeling
of the logging signal from a device consisting of an alternating current excitation coil and two
receiving coils moved along the wellbore is carried out. The electromotive force induced in the
receiving coils is investigated. The electric conductivity of the oil-bearing formation is
characterized by either a diagonal tensor with dominant
\( \sigma _{xx} \),
\( \sigma _{yy} \) components or a dense tensor obtained by rotation to a specified zenith
angle. Numerical modeling is performed with the vector finite element method on an adaptive
unstructured tetrahedral grid taking into account the geometry of the logging device, vertical well,
and layered host medium. The tensor electric conductivity is plugged into the variational
formulation. Dependences of the apparent electric conductivity of the depth are obtained based on
the electromotive force induced in the receiving coils.
期刊介绍:
Journal of Applied and Industrial Mathematics is a journal that publishes original and review articles containing theoretical results and those of interest for applications in various branches of industry. The journal topics include the qualitative theory of differential equations in application to mechanics, physics, chemistry, biology, technical and natural processes; mathematical modeling in mechanics, physics, engineering, chemistry, biology, ecology, medicine, etc.; control theory; discrete optimization; discrete structures and extremum problems; combinatorics; control and reliability of discrete circuits; mathematical programming; mathematical models and methods for making optimal decisions; models of theory of scheduling, location and replacement of equipment; modeling the control processes; development and analysis of algorithms; synthesis and complexity of control systems; automata theory; graph theory; game theory and its applications; coding theory; scheduling theory; and theory of circuits.