Prediction of multiphase flow properties from nuclear magnetic resonance imaging

Karaman, Türker
In this study a hybrid Pore Network (PN) model that simulates two-phase (water-oil) drainage and imbibition mechanisms is developed. The developed model produces Nuclear Magnetic Resonance (NMR) T2 relaxation times using correlations available in the literature. The developed PN was calibrated using experimental relative permeability data obtained for Berea Sandstone, Kuzey Marmara Limestone, Yeniköy Dolostone and Dolomitic Limestone core plugs. Pore network body and throat parameters were obtained from serial computerized tomography scans and thin section images. It was observed that pore body and throat sizes were not statistically correlated. It was also observed that the developed PN model can be used to model different displacement mechanisms. By using the synthetic data obtained from PN model, an Artificial Neural Network (ANN) model was developed and tested. It has been observed that the developed ANN tool can be used to estimate oil water relative permeability data very well (with less than 0.05 mean square error) given a T2 signal. It was finally concluded that the developed tools can be used to obtain multiphase flow functions directly from an NMR well log such as Combinable Magnetic Resonance (CMR).


A Graph-Based Approach for Video Scene Detection
Sakarya, Ufuk; Telatar, Zjya (2008-04-22)
In this paper, a graph-based method for video scene detection is proposed. The method is based on a weighted undirected graph. Each shot is a vertex on the graph. Edge weights among the vertices are evaluated by using spatial and temporal similarities of shots. By using the complete information of the graph, a set of the vertices mostly similar to each other and dissimilar to the others is detected. Temporal continuity constraint is achieved on this set. This set is the first detected video scene. The verti...
Combination of well log and pore-scale data to predict petrophysical properties of diatomite
Akın, Serhat; Kovscek, A. R. (2008-03-01)
A fast and accurate method for distribution of multiphase flow functions across the productive interval of a reservoir volume is proposed. When coupled with artificial neural networks (ANN) to correlate pore-type data (pore size, shape, and roughness) with well log measurements, network modeling is useful to generate relative permeability and capillary pressure functions on the same spatial scale as log data. The technique combines measurements with inherently different length scales and is multiscale in th...
Identification of ligand binding regions of the Saccharomyces cerevisiae alpha-factor pheromone receptor by photoaffinity cross-linking
Son, Çağdaş Devrim; Naider, F; Becker, JM (American Chemical Society (ACS), 2004-10-19)
Analogues of alpha-factor, Saccharomyces cerevisiae tridecapeptide mating pheromone (H-Trp-His-Trp-Leu-Gln-Leu-Lys-Pro-Gly-Gln-Pro-Met-Tyr-OH), containing p-benzoylphenylalanine (Bpa), a photoactivatable group, and biotin as a tag, were synthesized using solid-phase methodologies on a p-benzyloxybenzyl alcohol polystyrene resin. Bpa was inserted at positions 1, 3, 5, 8, and 13 of alpha-factor to generate a set of cross-linkable analogues spanning the pheromone. The biological activity (growth arrest assay) ...
Interactions of cholesterol reducing agent simvastatin with phospholipid model membranes
Koçak, Mustafa; Severcan, Feride; Department of Biochemistry (2007)
Interactions of simvastatin with zwitterionic dipalmitoyl phosphotidylcholine (DPPC) multilamellar liposomes were investigated as a function of temperature and simvastatin concentration. And acyl chain length effect on the simvastatin-model membrane interactions was monitored with DPPC and dimyristoyl phosphotidylcholine (DMPC) lipids. All studies were carried out by two non-invasive techniques, namely Fourier transform infrared (FTIR) spectroscopy, and differential scanning calorimetry (DSC). The results s...
Nanosecond colloidal quantum dot lasers for sensing
Guilhabert, B.; Foucher, C.; Haughey, A-M.; Mutlugun, E.; Gao, Y.; Herrnsdorf, J.; Sun, H. D.; Demir, H. V.; Dawson, M. D.; Laurand, N. (2014-03-24)
Low-threshold, gain switched colloidal quantum dot (CQD) distributed-feedback lasers operating in the nanosecond regime are reported and proposed for sensing applications for the first time to the authors' knowledge. The lasers are based on a mechanically-flexible polymeric, second order grating structure overcoated with a thin-film of CQD/PMMA composite. The threshold fluence of the resulting lasers is as low as 0.5 mJ/cm(2) for a 610 nm emission and the typical linewidth is below 0.3 nm. The emission wave...
Citation Formats
T. Karaman, “Prediction of multiphase flow properties from nuclear magnetic resonance imaging,” Ph.D. - Doctoral Program, Middle East Technical University, 2009.