... multi-frequency dielectric permittivity responses in rocks with complex pore structure, (b) to develop a new workflow for estimating multi-frequency dielectric permittivity of rock samples taking into account the complexity of pore structure, different polarization mechanisms, porosity, water saturation...

... upstream oil & gas herron reservoir characterization neural network concentration matrix property application water saturation neutron porosity saturation spectroscopy tool annual logging symposium logging symposium interpretation spwla-2022-0103 prediction hydrocarbon cross section...

... resistivity measurements with different depths of investigation (DOI). In the presence of deep mud-filtrate invasion, the assessment of water saturation in the uninvaded zone based on the deep resistivity log can be inaccurate. Deep and electrically conductive filtrate invasion coupled with shoulder-bed...

... Abstract From the first wireline log in 1927, formation evaluation always had to provide estimates for water saturation to identify and quantify hydrocarbon-bearing reservoir rocks. Formation conductivity (or resistivity) was the single leading quantity for input to various saturation models...

... and was also impacted by the electrical resistivity of formation water, with high water resistivity values causing a more significant SP suppression than more electrically conductive water for equal values of water saturation. We benchmark our results against a new method for quantification and interpretation...

... fluid by the traditional approach, and therefore artificially increasing the water saturation and decreasing permeability estimates. Additionally, mud has hydrogen index below one, decreasing total porosity estimated from the NMR measurements. In this work we present a workflow for calculating...

.... The findings were consistent for different lithologies, sandstone and carbonate. When using m and n derived from the new approach to interpret resistivity data for water saturation of core plugs, the average uncertainty is improved from 13%, when MN is used, down to 4%, when m and n are used. Using...

... formation or fluid parameter, comparable to Archie's simple water-saturation relationship. Both microscopic and macroscopic formation parameters contribute to dispersion: water-filled porosity, cation exchange capacity (CEC), conductive minerals, and formation factor. Past studies in research and in log...

... Abstract Archie developed his model based upon trends observed in formation resistivity factor - porosity and resistivity index-water saturation plots. The trends appear when the data is plotted on log-log graph paper. The trends are apparently straight lines on log-log paper, which means...

... distributions) of the samples at different water saturation levels. Image analysis is used to obtain geometrical constriction factor. We obtain electrical resistivity of the samples through numerically solving Maxwell's equations, which is used as an input in the introduced model. We successfully applied...

... Abstract A Staged Differential Effective Medium (SDEM) model based on the Hanai-Bruggeman equation is applied to interpret water saturation in shaly sands. In this model, the conductivity of the formation changes when different volumes of clays, oil, and quartz (inclusions) are successively...

... value. This reduces the shoulder-bed effects in the evaluation of well logs in thin laminations. We then estimate the geometric model parameters, which are shape-related factors, for each rock class and, subsequently, the depth-by-depth water saturation. Additional inputs to the workflow include...

... Abstract A new iterative modelling workflow has been designed to reduce uncertainty of water saturation (Sw) calculations in the tight Barik sandstone in the Sultanate of Oman. Results from this case study indicate that Sw can be overestimated by up-to twenty saturation units...

... log analysis wolfcamp formation assessment well logging geometric model parameter rock component artificial intelligence water saturation model parameter nd annual logging symposium waxman-smit model volumetric concentration pyrite conductivity image log machine learning upstream...

... Abstract Formation water saturation is a critical target property for any comprehensive well log analysis program. Most techniques for computing saturation depend heavily on an analyst’s ability to accurately model resistivity measurements for the effects of formation water resistivity...

... been proposed: Shen et al. (2017) imple- eters and their uncertainties. In this paper the demon- mented a Hamiltonian Monte Carlo method, and Deng strate joint estimation of layer-by-layer water saturation, et al. (2019) proposed a Bayesian inference approach: porosity, and layer-boundary locations...

... of the variable n were estimated, and the Although many studies have been done on n effect on the water saturation (Sw) calculations and the determination and its effect on Sw calculations, using Stock Tank Oil Initially In Place (STOIIP) in the average values over a whole field is still a common Tambaredjo (TAM...

...SPWLA 62nd Annual Logging Symposium, May 17-20, 2021 DOI: 10.30632/SPWLA-2021-0034 INTERPRETATION OF MULTI-FREQUENCY DIELECTRIC PERMITTIVITY MEASUREMENTS FOR ASSESSMENT OF WATER SATURATION IN CARBONATE FORMATIONS WITH COMPLEX PORE STRUCTURE Zulkuf Azizoglu and Zoya Heidari, The University of Texas...

...SPWLA 62nd Annual Logging Symposium, May 17-20, 2021 DOI: 10.30632/SPWLA-2021-0015 ADAPTATION OF CRUSHED ROCK ANALYSIS TO INTACT ROCK ANALYSIS FOR IMPROVING WATER SATURATION ASSESSMENT AND FAST PRESSURE DECAY PERMEABILITY QUANTIFICATION Kai Cheng, J. Alex Zumberge, Stephanie E. Perry, and Patrick M...

.... machine learning artificial intelligence well logging cape vulture main spwla 62 reservoir characterization upstream oil & gas nd annual logging symposium spwla-2021-0006 log analysis norwegian sea communication evaluation resistivity water saturation well 6608 resistivity measurement...