Research Interests for Fred K. Boadu

My research seek to develop an understanding of how the engineering, environmental and petrophysical properties of porous media (soils, fractured rock, biological tissues) affect measurable geophysical responses, and subsequently develop methodologies by which these properties can be obtained from non-invasive geophysical measurements. These goals are pursued by developing basic theoretical models, then increasing their order of complexity I perform laboratory and field measurements, and compare these data to the outputs of the theoretical models. This pursuit will lead to the integration of theory and laboratory or field data for reliable and accurate prediction of subsurface (porous medium) properties and saturation conditions from geophysical information. The same approach is used to assess the stability and strength of geo-materials in the subsurface - mudslides, landslides, liquefaction etc. Bio-materials, for example, biologically contaminated soils or tissues essentially can be considered as multi-phase fluid saturated porous system. Changes in the biochemical and physiological conditions of these materials induce frequency dependent spectral responses which can be quantified. Such quantification can lead to characterization and monitoring of their engineering and environmental behavior over time. Research in methods to explore for hydrocarbons by development of petrophysical models, and extraction reservoir properties using fractal and neural network concepts is also undertaken

Keywords:

Fractals, Information Dissemination, Information Theory, Marketing, Mathematical models, Strategic planning

Current projects:

Nitrate Contamination in groundwater

Petrophysical modeling - Integrated electrical and seismics methodologies

Characterization of fractured media

Neural Network and petrophysical properties of uncosolidated media

Areas of Interest:

Stability of Geo-materials
Petrophysics
Neural Networks

Representative Publications

1. Boadu, FK; Seabrook, BC, Effects of clay content and salinity on the spectral electrical response of soils, Journal of Environmental & Engineering Geophysics, vol. 11 no. 3 (September, 2006), pp. 161-170, ISSN 1083-1363 [doi] [abs]
2. F.K. Boadu, Permeability Estimation with RBF Network and Levenberg-Marquardt Learning, in Computational Neural Networks for Geophysical Data Processing (2000), pp. 185-200, Elsevier
3. Boadu, FK; Gyamfi, J; Owusu, E, Determining subsurface fracture characteristics from azimuthal resistivity surveys: A case study at Nsawam, Ghana, Geophysics, vol. 70 no. 5 (January, 2005), pp. B35-B42, Society of Exploration Geophysicists, ISSN 0016-8033 [1.2073888], [doi] [abs]
4. Boadu, FK, Use of multifractal seismic waveform parameters to characterize the hydraulic properties of fractured media: Numerical experiments, Geophysical Journal International, vol. 155 no. 2 (November, 2003), pp. 557-566, Oxford University Press (OUP), ISSN 0956-540X [x], [doi] [abs]
5. Pratson, LF; Stroujkova, A; Herrick, D; Boadu, F; Malin, P, Predicting seismic velocity and other rock properties from clay content only, Geophysics, vol. 68 no. 6 (January, 2021), pp. 1847-1856, Society of Exploration Geophysicists [1.1635037], [doi] [abs]
6. Brian, S; Boadu, ; K, F, Relating Electrical Response and Petrophysical Properites of Sands Subjected to Stress Changes, Journal of Environmental and Engineering Geophysics, vol. 7 (2002), pp. 88-100
7. Boadu, FK, Predicting oil saturation from velocities using petrophysical models and artificial neural networks, Journal of Petroleum Science and Engineering, vol. 30 no. 3-4 (September, 2001), pp. 143-154, Elsevier BV, ISSN 0920-4105 [S0920-4105(01)00110-3], [doi] [abs]
8. Boadu, FK, Petrophysical Parameters Affecting NMR Relaxation Time and Cementation Factor: Artificial Neural Network Analysis, J. of Engineering. & Environmental. Geophysics (2001)
9. Boadu, FK, Using Artificial Neural Networks to Predict Oil Saturation from Velocities Based on Petrophysical Models, Journal of Petroleum Science and Engineering, vol. 30 (2001), pp. 143-154
10. Boadu, FK, Predicting the transport properties of fractured rocks from seismic information: Numerical experiments, Journal of Applied Geophysics, vol. 44 no. 2-3 (May, 2000), pp. 103-113, Elsevier BV [S0926-9851(99)00020-8], [doi] [abs]
11. Boadu, FK, Hydraulic conductivity of soils from grain-size distribution: New models, Journal of Geotechnical and Geoenvironmental Engineering, vol. 126 no. 8 (2000), pp. 739-746, American Society of Civil Engineers (ASCE) [(ASCE)1090-0241(2000)126:8(739)], [doi] [abs]
12. Boadu, FK; Seabrook, B, Estimating Hydraulic Conductivity and Porosity of Soils from Spectral Electrical Response Measurements, J. of Engineering. & Environmental. Geophysics, vol. 5 no. 4 (2000), pp. 1-9
13. F.K. Boadu, Wave Propagation in Fluid Saturated Media: Waveform and Spectral Analysis, Geophysical Journal International, vol. 141 (2000), pp. 227-240
14. F.K. Boadu, Predicting the Transport Properties of Fractured Rocks from Seismic Information: Numerical Experiments, Journal of Applied Geophysics, vol. 44 (2000), pp. 103-113
15. Boadu, FK, Wave propagation in fluid-saturated media: Waveform and spectral analysis, Geophysical Journal International, vol. 141 no. 1 (April, 2000), pp. 227-240, Oxford University Press (OUP), ISSN 0956-540X [x], [doi] [abs]
16. Boadu, FK, Inversion of fracture density from field seismic velocities using artificial neural networks, Geophysics, vol. 63 no. 2 (January, 1998), pp. 534-545, Society of Exploration Geophysicists [1.1444354], [doi] [abs]