Estimation of model parameters from one-dimensional vertical electrical sounding data using evolutionary programming technique

• Autorzy: Shahid S. , Nath S. , Sircar A. , Patra H.
• Języki publikacji: EN

Abstrakty

EN

Calculus based algebraic algorithms like Singular Value Decomposition, Ridge Regression, Weighted Ridge Regression, etc. were used in the inversion of resistivity data till late 80's. With the advent of high speed computers having higher disk space and parallel processing environment, several global optimization techniques (simulated evolution, simulated annealing, very fast simulated annealing, etc.) are adapted to solve various inherent problems in the inversion of geophysical data. In the present paper an attempt is made to use Evolutionary Programming (EP) technique for the estimation of layer parameters from one-dimensional Vertical Electrical Sounding (VES) data. The algorithm is coded in FORTRAN 77 and tested on both synthetic and actual field data. The results, compared with those obtained by Singular Value Decomposition and borehole lithology, prove the efficiency and robustness of the EP approach.

Słowa kluczowe

EN

vertical electrical sounding; genetic algorithm; borehole lithology; evolutionary programming technique

• Wydawca: Instytut Geofizyki PAN
• Czasopismo: Acta Geophysica Polonica
• Rocznik: 1999
• Tom: Vol. 47, nr 3
• Strony: 335--348
• Opis fizyczny: Bibliogr. 23 poz.

Twórcy

autor

Shahid S.

autor

Nath S.

autor

Sircar A.

autor

Patra H.

• Department of Geology and Geophysics Indian Institute of Technology 721 302 Kharagpur, India,