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Keywords: model parameterClose
Paper presented at the SPWLA 61st Annual Logging Symposium, June 24–July 29, 2020
Paper Number: SPWLA-5076
... sensitivity analysis and performing inversion to the measured sonic dipole dispersion data to estimate relevant model parameters with associated uncertainties. Alternatively, various machine learning methods can also be developed based on the generated training dataset and that can be used for inferring...
Nikita Seleznev, Chang-Yu Hou, Denise Freed, Tarek M. Habashy, Ling Feng, Kamilla Fellah, Guangping Xu
Paper presented at the SPWLA 58th Annual Logging Symposium, June 17–21, 2017
Paper Number: SPWLA-2017-MMMM
... water salinity brine salinity sandstone Upstream Oil & Gas grain size porosity inversion fraction salinity Symposium frequency size distribution model parameter conductivity cementation exponent frequency range petrophysical parameter spwla 58 SPWLA 58th Annual Logging Symposium...
Keli Sun, Dzevat Omeragic, Chanh Cao Minh, John Rasmus, Jian Yang, Andrei Davydychev, Tarek Habashy, Roger Griffiths, Graham Reaper, Qiming Li
Paper presented at the SPWLA 51st Annual Logging Symposium, June 19–23, 2010
Paper Number: SPWLA-2010-26011
... synthetic cases constructed from field logs and then with field data in vertical and deviated wells. The examples show that resistivity anisotropy and dip information can be consistently determined from the input logs when the model is appropriate. Upstream Oil & Gas information model parameter...
Paper presented at the SPWLA 47th Annual Logging Symposium, June 4–7, 2006
Paper Number: SPWLA-2006-TTT
... virgin zone has the resistivity and the dielectric constant . The corresponding geometry and the model parameters in each region are briefly illustrated in Figure 1. iD xoR xo tR t INVERSION METHODOLOGY The inversion procedure involves the generation of synthetic log data based on a finite set of input...
Paper presented at the SPWLA 44th Annual Logging Symposium, June 22–25, 2003
Paper Number: SPWLA-2003-SS
... permeability well logging Upstream Oil & Gas information porosity Artificial Intelligence Fluid Dynamics layer 3 model parameter Symposium inversion algorithm flow in porous media induction joint inversion inversion result mud-filtrate invasion equation layer 1 permeability estimation...
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