Title :
Krylov subspaces and electromagnetic oil exploration
Author_Institution :
Schlumberger-Doll Res., Ridgefield, CT
Abstract :
The Krylov subspace is a celebrated technique for solving large sparse systems of linear algebraic equations and spectral problems. This article discusses how Schlumberger, an oil-field service company, used a version of this technique to simulate electromagnetic fields in complex geophysical settings
Keywords :
electrical engineering computing; electromagnetic fields; engineering computing; geophysical prospecting; geophysical signal processing; oil technology; sparse matrices; spectral analysis; Krylov subspaces; Schlumberger; electromagnetic field simulation; geophysics; large sparse systems; linear algebraic equations; oil exploration; oil-field service company; spectral problems; Conductivity; Electric variables measurement; Electromagnetic fields; Electromagnetic measurements; Equations; Geologic measurements; Geophysical measurements; Magnetic field measurement; Petroleum; Sparse matrices;
Journal_Title :
Computational Science & Engineering, IEEE
