Prof. Dr. Ir. E.C. (Evert) Slob

Professor of Geophysical Electromagnetic Methods

Faculty of Civil Engineering and Geosciences
Building 23
Stevinweg 1 / PO-box 5048
2628 CN Delft / 2600 GA Delft 

Room number: 3.09
Phone: +31 15 27 88732
E-mail address: E.C.Slob@remove-this.tudelft.nl

Prof. Dr. Ir. E.C. Slob

Profile

Professor of geophysical electromagnetic methods

Director of Education Civil Engineering & Geosciences

SEG Editor 2013-2015

Chair of the executive committee IDEA-League International Joint Master program Applied Geophysics.

ORCID: 0000-0002-4529-1134

Citation statistics: Google Scholar

Key papers:

1.     Slob, E., K. Wapenaar, F. Broggini and R. Snieder, 2014, Seismic reflector imaging while eliminating internal multiples using Marchenko-type equations, Geophysics, 79(2), S63-S76. Pdf-file

2.     Slob, E., and K. Wapenaar, 2012, Green’s function extraction for interfaces with impedance boundary conditions, IEEE Transaction on Antennas and Propagation, 60, 1, 351-359. Pdf-file

3.     Slob, EC, and CJ Weiss, 2011, Lagrangian and energy forms for retrieving the impulse response of the earth due to random electromagnetic forcing, Physical Review E, 84. 027601. Pdf-file

4.     Slob, E., 2009, Interferometry by deconvolution of multi-component multi-offset GPR data, IEEE Transactions on Geoscience and Remote Sensing, 47, 828-838. Pdf-file

5.     Slob, E., D. Draganov, K. Wapenaar, 2007, Integral electromagnetic Green’s functions representations using propagation invariants, Geophysical Journal International, 169, 60–80. Pdf-file

6.     Slob, E. and K. Wapenaar, 2007, Electromagnetic Green’s functions retrieval by cross-correlations and cross-convolutions in media with losses, Geophysical Research Letters, 34, L05307. Pdf-file

Expertise

Theory of electromagnetic and seismo-electromagnetic geophysical methods, Green’s function retrieval, imaging, and inversion.

Teaching

Subsurface characterization (AESB2140), Electromagnetic Methods (AES1540), Introduction to Geophysical Methods (AES1501), Matlab (AES1011)

Research

Beyond electromagnetic interferometry

Since the recent work of Snieder and his group we know that a virtual source can be placed inside a 1D heterogeneous medium without having a receiver inside this medium (Broggini and Snieder, 2012). The curious aspect of the theory is that no information is needed about the 1D medium. Soon after this discovery it was Kees Wapenaar who showed how this methodology could be generalized to 3D media (Wapenaar et al., 2013). The electromagnetic version of this methodology requires research on how to adapt the current framework such that media with losses can be handled. Applications lie in imaging with internal multiples and inversion for ground penetrating radar and diffusive electromagnetic methods. If you are interested in the topic, see the website of Kees Wapenaar on the seismic method and the journal papers that are published by people in our group.

presentations

Slob, EC and Wapenaar, K, 2014. Data-driven inversion of GPR surface reflection data for lossless layered media, 8th European conference on antennas and propagation. Bruxelles: EuCAP. abstract/presentation

Electromagnetic Interferometry

Electromagnetic interferometry is the methodology where virtual source electromagnetic responses are created by crosscorrelating or crossconvolving observations at different locations. This is analogous to seismic interferometry, see the website of Kees Wapenaar, including a list of all journal publications on this topic. One of the important aspects of this methodology for electromagnetic fields is to account for losses. Some acquisition geometries seem to allow for crosscorrelation methods and these are currently studied for ground penetrating radar application in monitoring studies. In general and for diffusive electromagnetic fields in particular a new methodology was developed, coined interferometry by multidimensional deconvolution. This method can be used for seismic data as well and requires all sources and receivers to be on one side of the target object. In this approach many sources and for each source receivers must be available to create virtual source data at the receiver level.

Journal papers on electromagnetic topics

[14] Li, J., Z. Zeng, E. Slob, X. Chen and F. Liu, 2014, Simulation of GPR passive interferometry using cross-correlation for LNAPL model monitoring application, Geophysical Journal International, 199, 1919-1928. Pdf-file

[13] Hunziker, J., E. Slob, Y. Fan, R. Snieder and K. Wapenaar, 2013, Electromagnetic Interferometry in wavenumber and space domains in a layered earth, Geophysics, 78(3), E137-E148. Pdf-file

[12] Hunziker, J., E. Slob, Y. Fan, R. Snieder and K. Wapenaar, 2012, Two-dimensional controlled-source electromagnetic interferometry by multidimensional deconvolution: spatial sampling aspects, Geophysical Prospecting, 60, 974-994. Pdf-file

[11] Slob, E., and K. Wapenaar, 2012, Green’s function extraction for interfaces with impedance boundary conditions, IEEE Transaction on Antennas and Propagation, 60, 1, 351-359. Pdf-file

[10] Slob, EC, and CJ Weiss, 2011, Lagrangian and energy forms for retrieving the impulse response of the earth due to random electromagnetic forcing, Physical Review E, 84. 027601. Pdf-file

[9] Slob E., R. Snieder and A. Revil, 2010, Retrieving electrical resistivity data from self-potential measurements by cross-correlation, Geophysical Research Letters, 37 (4), L04308. Pdf-file

[8] de Ridder, S. A. L., E. Slob and K. Wapenaar, 2009, Interferometric seismoelectric Green’s function representations, Geophysical Journal International, 178, 1289-1304. Pdf-file

[7] Slob, E. and K. Wapenaar, 2009, Retrieving the Green’s function from cross correlation in an electromagnetic bianisotropic medium, Progress in Electromagnetics Research (PIER), 93, 255-274. Pdf-file

[6] Slob, E., 2009, Interferometry by deconvolution of multi-component multi-offset GPR data, IEEE Transactions on Geoscience and Remote Sensing, 47, 828-838. Pdf-file

[5] Slob, E. and K. Wapenaar, 2008, Practical representations of electromagnetic interferometry for GPR applications, Near Surface Geophysics, 6, 391-402. Pdf-file

[4] Wapenaar, K., E. Slob and R. Snieder, 2008, Seismic and electromagnetic controlled-source interferometry in dissipative media, Geophysical Prospecting, 56, 419-434. Pdf-file

[3] Slob, E. and K. Wapenaar, 2007, GPR without a source: crosscorrelation and crossconvolution methods, IEEE Transactions on Geoscience and Remote Sensing, 43, 2501-2510. Pdf-file

[2] Slob, E. and K. Wapenaar, 2007, Electromagnetic Green’s functions retrieval by cross-correlations and cross-convolutions in media with losses, Geophysical Research Letters, 34 (5), L05307. Pdf-file

[1] Slob, E., D. Draganov, and K. Wapenaar, 2007, Integral electromagnetic Green’s functions representations using propagation invariants, Geophysical Journal International, 169, 60–80. Pdf-file

Controlled Source Electromagnetic Methods

Controlled Source Electromagnetic Method (CSEM) addresses electromagnetic exploration and monitoring methods in which active sources are used as opposed to Magnetotelluric (MT) methods in which natural sources are used. During the last ten to fifteen years much of the developments are related to hydrocarbon exploration. This topic deals with finding a relative thin but horizontally elongated resistive body in a conductive embedding. A thin elongated resistor can be detected by fast horizontal diffusion through the resistive body with relatively little attenuation. This is relative to the slower diffusion through the conductive embedding where the attenuation is much higher. In a marine setting with sources employed in the sea and receivers usually at the sea bottom the air is the best resistor available. This can lead to strong signal at the receivers that have diffused upward and then propagated as a wave through the air, which couples back into the sea where it diffuses down to the receivers. For relatively shallow sea this signal can be stronger than that of the resistive hydrocarbon reservoir. 

Journal papers

[16] Hunziker, J., J. Thorbecke and E. Slob, (2015), The electromagnetic field in a layered VTI medium: A new look at an old problem, Geophysics, 80(1), F1-F18. Open Software attached to paper. Pdf-file

[15] Moradi Tehrani, A. and E. Slob (2013), Applicability of 1D and 2.5D marine controlled source electromagnetic modeling. Geophysical Prospecting, 61(S1), 602-613. Pdf-file

[14] Hunziker, J., E. Slob, Y. Fan, R. Snieder and K. Wapenaar (2013), Electromagnetic Interferometry in wavenumber and space domains in a layered earth, Geophysics, 78(3), E137-E148. Pdf-file

[13] Fan, Y., R. Snieder, E. Slob, J. Hunziker, J. Singer, J. Sheiman and M. Rosenquist (2012), Increasing the sensitivity of controlled source electromagnetics with synthetic aperture, Geophysics, 77(2), E135-E145. Pdf-file

[12] Hunziker, J., E. Slob, Y. Fan, R. Snieder and K. Wapenaar (2012), Two-dimensional controlled-source electromagnetic interferometry by multidimensional deconvolution: spatial sampling aspects, Geophysical Prospecting, 60, 974-994. Pdf-file

[11] Moradi Tehrani, A., E. Slob and W.A. Mulder (2012), Quasi-analytical method for frequency-to-time conversion in CSEM applications, Geophysics, 77(5), E357-E363. Pdf-file

[10] Fan, Y., R. Snieder, E. Slob, J. Hunziker and J. Singer (2011), Steering and focusing diffusive fields using synthetic aperture, European Physics Letters, 95, 34006. Pdf-file

[9] Hunziker, J, E Slob and W A Mulder (2011), Effects of the airwave in marine CSEM for various source and receiver orientations, Geophysics, 76(4), F251-F261. Pdf-file

[8] Wirianto, M, WA Mulder and EC Slob (2011), Applying essentially non-oscillatory interpolation to CSEM modelling, Geophysical Prospecting, 59, 161-175. Pdf-file

[7] Wirianto, M, WA Mulder and EC Slob (2011), Exploiting the airwave for time-lapse reservoir monitoring with CSEM on land, Geophysics, 76(3), A15–A19. Pdf-file

[6] Fan, Y., R. Snieder, E. Slob, J. Hunziker, J. Singer, J. Sheiman, M. Rosenquist, 2010, Synthetic aperture controlled source electromagnetics, Geophysical Research Letters, 37, L13305. Pdf-file

[5] Slob, E., J. Hunziker and W. Mulder, (2010), Green's tensors for the diffusive electric field in a VTI half-space, Progress in Electromagnetic Research - PIER, 107, 1-20. Pdf-file

[4] Snieder, R., E. Slob and K. Wapenaar, 2010, Lagrangian Green’s function extraction, with applications to potential fields, diffusion, and acoustic waves, New Journal of Physics, 12, 063013. Pdf-file

[3] Tehrani, A.M. and E. Slob, 2010, Fast and accurate three-dimensional controlled source electromagnetic modelling, Geophysical Prospecting, 58, 1133-1146. Pdf-file

[2] Wirianto, M., W. A. Mulder and E. C. Slob, 2010, A feasibility study of land CSEM reservoir monitoring in a complex 3-D model, Geophysical Journal International, 181, 741-755. Pdf-file

[1] Mulder, W. A., M. Wirianto, and E. C. Slob, 2008, Time-domain modeling of electromagnetic diffusion with a frequency-domain code, Geophysics, 73, F1–F8. Pdf-file

Ground Penetrating Radar

Ground penetrating radar (GPR) uses radar technology to investigate the shallow subsurface. Only in ice environments electromagnetic waves at the radar frequencies (10 MHz-10 GHz) can penetrate more than 1 km, whereas in most soils and rocks the penetration depth is at best tens of meter. For road layer related and hydrogeophysical investigations frequencies in around 1 GHz are being used. To obtain quantitative information from measured GPR the source time signature needs to be known and together with Sébastien Lambot from UCL we developed a novel method to model a mono-static air-launched horn antennas as a complex scattering point when used with a vector network Analyzer (VNA). This allowed us to perform calibration measurements to determine the scattering parameters after which true amplitude reflection responses of the subsurface can be retrieved from the data. This leads to true amplitude inversion schemes. I am working on methods for subsurface imaging, inversion, and characterization with GPR data.

A possible application is using GPR as a monitoring tool in hydrocarbon production boreholes. GPR is quite sensitive to water content and this sensitivity can be exploited in production monitoring environment.

Journal papers

[37] Di Matteo, A, E. Pettinelli and E Slob (2013), Early-time GPR signal attributes to estimate soil electric permittivity: A theoretical study, IEEE Transactions on Geoscience and Remote Sensing, 51(3), 1643-1654. Pdf-file

[36] Patriarca, C., M. Miorali, E. Slob and S. Lambot (2013), Uncertainty quantification in off-ground monostatic Ground Penetrating Radar, IEEE Transactions on Antennas and Propagation, 61(6), 3334-3344. Pdf-file

[35] Patriarca, C., F. Tosti, C. Velds, A. Benedetto, S. Lambot, and E. Slob (2013), Frequency dependent electric properties of homogeneous multi-phase lossy media in the ground-penetrating radar frequency range, Journal of Applied Geophysics, 97, 81-88. Pdf-file

[34] Tosti, F., C. Patriarca, E. Slob, A. Benedetto, and S. Lambot (2013), Clay content evaluation in soils through GPR signal processing, Journal of Applied Geophysics, 97, 69-80. Pdf-file

[33] Lambot, S, F André, E Slob and H Vereecken (2012), Effect of antenna-medium coupling in the analysis of ground-penetrating radar data, Near Surface Geophysics, 10, 631-639. Pdf-file

[32] Jadoon, KZ, S Lambot, EC Slob and H Vereecken (2011), Analysis of Horn Antenna Transfer Functions and Phase Center Position for Modeling Off-Ground GPR, IEEE Transactions On Geoscience and Remote Sensing, 79, 1649-1662. Pdf-file

[31] Miorali, M, E Slob and R Arts (2011), A feasibility study of borehole radar as a permanent down-hole sensor, Geophysical Prospecting, 59, 120-131. Pdf-file

[30] Miorali, M, F Zhou, E Slob and R Arts (2011), Coupling GPR and fluid flow modeling for oilfield monitoring applications, Geophysics, 76(3), A21-A25. Pdf-file

[29] Patriarca, C, S Lambot, MR Mahmoudzadeh, J Minet and E Slob (2011), Reconstruction of sub-wavelength fractures and physical properties of masonry media using full-waveform inversion of proximal penetrating radar, Journal of Applied Geophysics, 74, 26-37. Pdf-file

[28] Jadoon, K. Z., S. Lambot, B. Scharnagl, J. van der Kruk, E. Slob and H. Vereecken (2010), Quantifying field-scale surface soil water content from proximal GPR signal inversion in the time domain, Near Surface Geophysics, 8, 483-491. Pdf-file

[27] Moghadas, D., F. André, E. C. Slob, H. Vereecken and S. Lambot 2010, Joint full-waveform analysis of off-ground zero-offset ground penetrating radar and electromagnetic induction synthetic data for estimating soil electrical properties, Geophysical Journal International, 182, 1267-1278. Pdf-file

[26] Minet, J., S. Lambot, E. Slob and M. Vanclooster, 2010, Soil surface water content estimation by full-waveform GPR signal inversion in presence of thin layers, IEEE-TGRS, 48, 1138-1150. Pdf-file

[25] Porsani, J. L., E. Slob, R. S. Lima and D. N. Leite, 2010, Comparing detection and location performance of perpendicular and parallel broadside GPR antenna orientations, Journal of Applied Geophysics, 70, 1-8. Pdf-file

[24] Slob, E., M. Sato and G. Olhoeft (2010), Surface and borehole ground penetrating radar developments, Geophysics, 75, 75A113-75A120. Pdf-file

[23] Lambot, S., J. Rhebergen, E. Slob, O. Lopera, K. Z. Jadoon and H. Vereecken, 2009, Remote estimation of the hydraulic properties of a sandy soil using full-waveform integrated hydrogeopohysical inversion of time-lapse off-ground GPR data, Vadose Zone Journal, 8, 743-754. Pdf-file

[22] Orlando, L. and E. Slob 2009, Using multicomponent GPR to monitor cracks in a historical building, Journal of Applied Geophysics, 67, 327-334. Pdf-file

[21] Jadoon, K., E. Slob, M. Vanclooster, H. Vereecken and S. Lambot, 2008, Uniqueness and stability analysis of hydrogeophysical inversion for time-lapse proximal ground penetrating radar, Water Resources Research, 44, W09421. Pdf-file

[20] Lambot, S., E. Slob, D. Chavarro, M. Lubczynski and H. Vereecken, 2008, Measuring soil surface moisture in irrigated areas of southern Tunisia using full waveform inversion of proximal GPR data, Near Surface Geophysics, 6, 403-410. Pdf-file

[19] Lambot, S., A. Binley, E. Slob and S. Hubbard, 2008, Ground penetrating radar in hydrogeophysics, Vadose Zone Journal, 7, 137-139. Pdf-file

[18] Lambot, S., E. Slob, H. Vereecken, 2007, Fast evaluation of zero-offset Green’s function for layered media with application to ground-penetrating radar, Geophysical Research Letters, 34(21), L21405. Pdf-file

[17] Lopera, O., E. C. Slob, N. Milisavljević, and S. Lambot, 2007, Filtering Soil Surface and Antenna Effects from GPR Data to Enhance Landmine Detection, IEEE Transactions on Geoscience and Remote Sensing, 45, 3, p. 707-717. Pdf-file

[16] Ghose, R., and E. C. Slob, 2006, Quantitative integration of seismic and GPR reflections to derive unique estimates for water saturation and porosity in subsoil, Geophysical Research Letters, 33 (5), L05404. Pdf-file

[15] Lambot, S., M. Antoine, M. Vanclooster, and E. C. Slob, 2006, Effect of soil roughness on the inversion of off-ground monostatic GPR signal for noninvasive quantification of soil properties, Water Resources Research, 42, W03403. Pdf-file

[14] Lambot, S., L. Weihermüller, J. A. Huisman, H. Vereecken, M. Vanclooster, and E. C. Slob, 2006, Analysis of air-launched ground-penetrating radar techniques to measure the soil surface water content, Water Resources Research, 42, W11403. Pdf-file

[13] Lambot, S., E. C. Slob, M. Vanclooster, and H. Vereecken, 2006, Closed loop GPR data inversion for soil hydraulic and electric property determination, Geophysical Research Letters, 33 (21), L21405. Pdf-file

[12] Lambot, S., I. van den Bosch, B. Stockbroeckx, P. Druyts, M. Vanclooster and E. Slob, 2005, Frequency dependence of the soil electromagnetic properties derived from ground-penetrating radar signal inversion, Subsurface Sensing Technologies and Applications, 6, 73-87. Pdf-file

[11] Fokkema, J. T., E. C. Slob, E. Fokkema and S. Beekman, 2004, Material response analysis of GPR data, Near Surface Geophysics, 2, 41-47. Pdf-file

[10] Van der Kruk J. and E. C. Slob, 2004, Reduction of reflections from above surface objects in GPR data, Journal of Applied Geophysics, 55, 271-278. Pdf-file

[9] Lambot, S., E. C. Slob, I. van den Bosch, B. Stockbroeckx, B. Scheers and M. Vanclooster, 2004, Estimating soil dielectric properties from monostatic ground-penetrating radar signal inversion in the frequency domain, Water Resources Research, 40, W04205. Pdf-file

[8] Lambot, S., M. Antoine, I. van den Bosch, E. C. Slob, and M. Vanclooster, 2004, Electromagnetic inversion of GPR signals and subsequent hydrodynamic inversion to estimate effective vadose zone hydraulic properties, Vadose Zone Journal, 3, 1072-1081. Pdf-file

[7] Lambot, S., J. Rhebergen, I. van den Bosch, E. C. Slob and M. Vanclooster, 2004, Measuring the soil water content profile of a sandy soil with an off-ground monostatic Ground Penetrating Radar, Vadose Zone Journal, 3, 1063-1071. Pdf-file

[6] Lambot, S., E. C. Slob, I. van den Bosch, B. Stockbroeckx, B. Scheers and M. Vanclooster, 2004, Modeling of ground penetrating radar for accurate characterization of subsurface dielectric properties, IEEE Transactions on Geoscience and Remote Sensing, 42, 2555-2568. Pdf-file

[5] Slob, E. C., J. Groenenboom and J. T. Fokkema, 2003, Automated acquisition and processing of 3D GPR data for object detection and characterization, Subsurface Sensing Technologies and Applications, 4, 5-18. Pdf-file

[4] Slob, E. C. and J. T. Fokkema, 2002, Coupling effects of two electric dipoles on an interface, Radio Science, 37, 1073. Pdf-file

[3] Slob, E. C. and J. T. Fokkema, 2002, Interfacial dipoles and radiated energy, Subsurface Sensing Technologies and Applications, 3, 347-367. Pdf-file

[2] Kruk, J. van der, E. C. Slob and J. T. Fokkema, 1998, Background of ground penetrating radar measurements, Geologie en Mijnbouw, 77, 177-188. Pdf-file

[1] Nguyen, B.-L., J. Bruining, E. C. Slob and V. Hopman, 1998, Delineation of air/water capillary transition zone from GPR data, SPE Reservoir Evaluation and Engineering, 1, 319-327. Pdf-file

Special issues on GPR

Special issue on Ground Penetrating Radar in Journal of Selected Topics in Applied Earth Observations and Remote Sensing. To be published in 2015. Eds. L. Pajewski, A. Giannopoulos, M. Sato, and S. Lambot.

Special issue on “Ground Penetrating Radar for nondestructive evaluation of pavements, bridges and subsurface infrastructures” in the Journal of Applied Geophysics, October 2013. Eds. L. Pajewski, A. Benedetto, A. Loizos and E. Slob.

Special issue on Advanced GPR imaging and inversion for hydrogeophysical and subsurface property estimation, Near Surface Geophysics, April 2013. Eds. J. van der Kruk, E. Slob and L. Crocco.

Special issue on Advanced Methods and Modelling for GPR in Near Surface Geophysics, June 2011. Eds. L. Crocco and E. Slob.

Special section on Hydrogeophysics: Electrical and Electromagnetic Methods in Geophysics, July/August 2010. Eds. J. van der Kruk, A. Revil and E. Slob.

Special issue on Advanced Applications, Systems and Modeling in the Journal of Applied Geophysics, April 2009. Eds. N. Cassidy, E. Slob and F. Soldovieri.

Special issue on GPR in Hydrogeophysics in the Vadose Zone Journal, February 2008. Eds. A. Binley, S. Lambot, E. Slob and S. Hubbard.

Special issue on ground penetrating radar in Near Surface Geophysics, February 2006. Eds. E. Slob and A.G. Yarovoy.

Special issue on GPR in Subsurface Sensing Technologies and Applications: an International Journal, April 2005. Eds. A.G. Yarovoy and E. Slob.

Special issue on GPR in Subsurface Sensing Technologies and Applications: an International Journal, January 2005. Eds. A.G. Yarovoy and E. Slob.

Special issue on Advanced GPR Technology in Near Surface Geophysics, February 2004. Eds. E. Slob and A.G. Yarovoy.

Special issue on GPR in Subsurface Sensing Technologies and Applications: an International Journal, January 2003. Eds. E. Slob, P.M. van den Berg, and J.T. Fokkema.

Special issue on GPR in Subsurface Sensing Technologies and Applications: an International Journal, October 2002. Eds. E. Slob, P.M. van den Berg, and J.T. Fokkema.

Book chapters

Catapanio, I., A. Randazzo, E. Slob, and R. Solimene, 2015, GPR imaging via qualitative and quantitative approaches, in “Civil Engineering Applications of Ground Penetrating Radar”, Eds: A. Benedetto and L. Pajewski, Springer Transactions in Civil and Environmental Engineering, Dordrecht, ISBN 978-3-319-04812-3, p 239-280. Pdf-file

Tosti, F. and E. Slob, 2015, Determination, by using GPR, of the volumetric water content in structures, substructures, foundations, and soil, in “Civil Engineering Applications of Ground Penetrating Radar”, Eds: A. Benedetto and L. Pajewski, Springer Transactions in Civil and Environmental Engineering, Dordrecht, ISBN 978-3-319-04812-3, p 163-194. Pdf-file

Lambot, S., E. Slob, J. Minet, K.Z. Jadoon, M. Vanclooster, and H Vereecken, 2015, Full-Waveform Modelling and Inversion of Ground-Penetrating Radar Data for Non-invasive Characterisation of Soil Hydrogeophysical Properties, Ch 25 in “Proximal Soil Sensing”, Eds. R.A. Viscara Rossel, A.B. McBratney, and B. Minasny, Springer Series Progress in Soil Science, Springer, Dordrecht, ISBN 978-90-481-8858-1, p 299-312. Pdf-file

Electric soil properties

To give meaning to the data acquired with Ground penetrating radar (GPR), diffusive electromagnetic, and seismo-electromagnetic methods it is necessary to understand macroscopic electric and seismo-electric responses of actual soils and rocks. For this reason we study the electromagnetic and seismo-electromagnetic responses of artificial and real samples, in laboratory and field conditions. We try to model the measured data such that these models can then be used in data imaging, inversion, and characterization.

Journal papers

[17] Ponziani, M., E.Slob, S. Luthi, R. Bloemenkamp, and I. Le Nir, 2015, Experimental validation of fracture aperture determination from borehole electric microresistivity measurements, Geophysics, 80(3), D175-D181. Pdf-file

[16] Dalen, K. van, Chr. Schoemaker and E. Slob (2013), Generalized minimum-phase relations for memory functions associated with wave phenomena, Geophysical Journal International, 195, 1620-1629. Pdf-file

[15] Kavian, M., E.C. Slob and W.A. Mulder (2012), A new empirical complex electrical resistivity model, Geophysics, 77(3), E185-E191. Pdf-file

[14] Kavian, M., E.C. Slob and W.A. Mulder (2012), Measured electric responses of unconsolidated layered and brine-saturated sand and sand-clay packs under continuous fluid flow conditions, Journal of Applied Geophysics, 80, 83-90. Pdf-file

[13] Ponziani, M., E.C. Slob, H. Vanhala, D.J.M. Ngan-Tillard (2012), Influence of physical and chemical properties on the low-frequency complex conductivity of peaty, Near Surface Geophysics, 10, 491-501. Pdf-file

[12] Ponziani, M., E.C. Slob, H. Vanhala, D.J.M. Ngan-Tillard (2012), Experimental validation of a model relating water content to the electrical conductivity of peat, Engineering Geology, 129, 48-55. Pdf-file

[11] Schakel, M., D.M.J. Smeulders, E.C. Slob and H.K.J. Heller (2012), Seismoelectric fluid/porous-medium interface response model and measurements, Transport in Porous Media, 93, 271-282. Pdf-file

[10] Schoemaker, F.C., N. Grobbe, M.D. Schakel, S.A.L. de Ridder, E.C. Slob, D.M.J. Smeulders (2012) Experimental Validation of the Electrokinetic Theory and Development of Seismoelectric Interferometry by Cross-Correlation, International Journal of Geophysics, 2012, paper ID 514242. Pdf-file

[9] Kavian, M., E. C. Slob and W. A. Mulder (2011), Hysteresis in the non-monotonic electric response of homogeneous and layered unconsolidated sands under continuous flow conditions with water of various salinities, 100 kHz to 2 MHz, Journal of Geophysical Research, 118, B08214. Pdf-file

[8] Ponziani, M, DJM Ngan-Tillard and EC Slob (2011), A new prototype cell to study electrical and geo-mechanical properties of peaty soils, Engineering Geology, 119, 71-84. Pdf-file

[7] Schakel, M, DMJ Smeulders, EC Slob and HKJ Heller (2011), Seismoelectric interface response: experimental results and forward model, Geophysics, 76(4), N29-N36. Pdf-file

[6] Schakel, M, DMJ Smeulders, EC Slob and HKJ Heller (2011), Laboratory measurements and theoretical modeling of seismoelectric interface response and coseismic wave fields, Journal of Applied Physics, 109, 074903. Pdf-file

[5] Plug, W.-J., L. M. Moreno Tirado, E. Slob, J. Bruining, 2007, Simultaneously measured capillary pressure and electric permittivity hysteresis in multiphase flow through porous media, Geophysics, 72, 3, A41-A45. Pdf-file

[4] Plug, W.-J., E. Slob, J. van Turnhout, J. Bruining, 2007, Capillary pressure as a unique function of electric permittivity and water saturation, Geophysical Research Letters, 34, L13306. Pdf-file

[3] Gorriti, A. G. and E. C. Slob, 2005, A new Tool for accurate S-parameters measurements and permittivity reconstruction, IEEE Trans Transactions on Geoscience and Remote Sensing, 43, 1727-1735. Pdf-file

[2] Gorriti, A. G. and E. C. Slob, 2005, Synthesis of all known analytical permittivity reconstruction techniques of non-magnetic materials from reflection and transmission measurements, IEEE Geoscience and Remote Sensing Letters, 2, 433-436. Pdf-file

[1] Gorriti, A. G. and E. C. Slob, 2005, Comparison of the different reconstruction techniques of permittivity from S-parameters, IEEE Transactions on Geoscience and Remote Sensing, 43, 2051-2057. Pdf-file

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