Combined global/linear inversion of well-logging data in layer-wise homogeneous and inhomogeneous media
§Ё§е§в§Я§С§Э Acta Geodaetica et Geophysica Hungarica
§Є§Щ§Х§С§д§Ц§Э§о AkadЁ¦miai KiadЁ®
ISSN 1217-8977 (Print) 1587-1037 (Online)
§Ї§а§Ю§Ц§в Volume 40, Number 2 / May 2005
DOI 10.1556/AGeod.40.2005.2.7
PDF (772,2 KB)
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M. DobrЁ®ka1, P. N. SzabЁ®2
1I: Department of Geophysics, University of Miskolc; II: MTA-ME Research Group for Geophysical Inversion and Tomography I: H-3515 Miskolc-EgyetemvЁўros, Hungary
2Department of Geophysics, University of Miskolc H-3515 Miskolc-EgyetemvЁўros
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In the paper a combined inversion algorithm solving the nonlinear geophysical well-logging inverse problem is presented. We apply a successive combination of a float-encoded Genetic Algorithm as a global optimization method and the well-known linearized Marquardt algorithm forming a fast inversion procedure. The technique is able to decrease the CPU run time at least one order of magnitude compared to the Genetic Algorithm and gives the parameter estimation errors having a few linearized optimization steps at the end of the iteration process. We use depth-dependent tool response equations to invert all the data of a greater depth-interval jointly in order to determine petrophysical parameters of homogeneous or inhomogeneous layers in one inversion procedure. The so-called interval inversion method gives more accurate and reliable estimation for the petrophysical model parameters than the conventional point by point inversion methods. It also enables us to determine the layer-thicknesses that can not be extracted from the data set by means of conventional inversion techniques. We test the combined interval inversion method on synthetic data, and employ it to the interpretation of well logs measured in a Hungarian hydrocarbon exploratory borehole.
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combined inversion, combined inversion, Genetic Algorithm, interval inversion, Marquardt algorithm, petrophysical parameters, well-logging data
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http://www.akademiai.com/content/q94220457573641l/