0000-0003-2575-1794 Employment
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Publications (19)
- Use of maximum likelihood sparse spike inversion and probabilistic neural network for reservoir characterization: a study from F-3 block, the Netherlands Save
- Identification of indicators for sustainable urban water development planning Save
- Characterising sand channel from seismic data using linear programming (l 1-norm) sparse spike inversion technique: A case study from offshore, Canada Save
- Estimating elastic impedance from seismic inversion method: A study from Nova Scotia field, Canada Save
- Predicting Porosity by Multivariate Regression and Probabilistic Neural Network using Model-based and Coloured Inversion as External Attributes: A Quantitative Comparison Save
- Qualitative and quantitative comparison of geostatistical techniques of porosity prediction from the seismic and logging data: a case study from the Blackfoot Field, Alberta, Canada Save
- Seismic modelling of CO<inf>2</inf> fluid substitution in a sandstone reservoir: A case study from Alberta, Canada Save
- Use of genetic algorithm in reservoir characterisation from seismic data: A case study Save
- Development of a decision making tool for selection of waste water treatment technology based on urban water reuse Save
- TEM Response of a Large Loop Source over the Multilayer Earth Models Save