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Forward modeling and inversion of induction logs from shaly sand reservoirs using petrophysical conductivity models
Institution:1. A.A. Trofimuk Institute of Petroleum Geology and Geophysics, Siberian Branch of the Russian Academy of Sciences, pr. Akademika Koptyuga 3, Novosibirsk, 630090, Russia;2. Novosibirsk State University, ul. Pirogova 2, Novosibirsk, 630090, Russia;3. Geological Institute, Russian Academy of Sciences, Pyzhevsky per. 7, Moscow, 119017, Russia;4. I.S. Gramberg Russian Research Institute of Marine Geology and Mineral Resources, Angliiskii pr. 1, St. Petersburg, 190121, Russia;5. V.S. Sobolev Institute of Geology and Mineralogy, Siberian Branch of the Russian Academy of Sciences, pr. Akademika Koptyuga 3, Novosibirsk, 630090, Russia;1. VIRG-Rudgeofizika, Petrovskaya Kosa 1, St. Petersburg, 197110, Russia;2. St. Petersburg State University, Universitetskaya naberezhnaya 7/9, St. Petersburg, 199034, Russia;1. V.S. Sobolev Institute of Geology and Mineralogy, Siberian Branch of the Russian Academy of Sciences, pr. Akademika Koptyuga 3, Novosibirsk, 630090, Russia;2. Geological Institute of the Kola Research Center, Russian Academy of Sciences, ul. Fersmana 14, Apatity, Murmansk Region, 184209, Russia
Abstract:Algorithms and software have been designed for petrophysical 2D forward simulation and inversion of induction logs from oil wells drilled in shaly sandstone using conductivity models for different clay types. As comparative analysis of relative amplitudes and phases of tool responses has demonstrated, it is possible to reliably and accurately estimate fluid saturation and porosity from induction logs. The applied 2D numerical inversion of both theoretical and well logs yielded quantitative estimates of petrophysical parameters of reservoirs, with clay volume fraction assumed according to the chosen conductivity model. Correction for the presence of clay improves inversion quality if clay content as well as type are taken into account.
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