Research

Near-Surface Geophysics

The focus of my current research is mainly the applications of geophysical methods (e.g., electrical resistivity and induced polarization) for understanding and monitoring near-surface geological, environmental and engineering processes. 

UAV Smartphone survey setup (U.S. Patent pending)

UAV Smartphone survey results at an orphaned gas well site (satellite images are from 2022). a) drone altitude ≈ 10 m AGL, b) drone altitude ≈ 15 m AGL, and c) drone altitude ≈ 20 m AGL 

Results of complex conductivity monitoring during a compression test leading to soil failure. Vertical stress (σv) and surface conductivity (σ''surf) percentage changes (at 4 and 50 Hz) versus vertical strain (εv). Remarkable similarities are seen between σv and σ''surf proving the potential of complex conductivity as non-disruptive method for monitoring soil deformation in the field.

Seaniyan & Slater (2021)

Schematic of the experiment column undergone UCS test

Left: Microbial induced carbonate precipitation (MICP) treatment area at the IFRC site, Rifle, CO. Right: 3D model of the progression of MICP in subsurface at the IFRC site from the beginning of the field study to the end, based on in-situ time-domain induced polarization (TDIP) geophysical imaging. 

The cutoff value for the phase angle anomaly (blue volume) is 4.5 < -φ < 6 mrad. 

Green vertical lines: MICP treatment injection wells, red vertical lines: withdrawal wells. Saneiyan et al. (2019)

3D-ERI tracer studies on Tussey Mountain at the Shavers Watershed at Shale Hills CZO, PA.  A potassium bromide solution was allowed to percolate in shallow trenches dug directly upslope (top images) of the electrical resistivity imaging (ERI) grid (bottom left).  ERI measurements were collected from a 3D surface array consisting of a 12 by 4 grid of electrodes spaced 1 m apart.  Our image (bottom right) revealed initial rapid vertical movement downward of the tracer followed by a slower horizontal movement along a boundary layer, in support of previous shallow interflow hypotheses. We also find that the spatial extent and by extension mass moments vary depending on the hillslope.  Using 3D-ERI to image tracer migration provided a better understanding of the dynamic flow architecture at the site.

Artificial soil mixture before (above left) and after (above right) 384 hrs of MICP treatment. Unconsolidated artificial soil mixture turned into consolidated state.

Imaginary conductivity (σ'') response (diagram at right) from low to high (160 mHz, 5, 40 and 500 Hz) shows a clear pattern of carbonate (mainly calcite in here) precipitation. From fine grain to coagulated precipitation (conceptual model below).

Saneiyan et al. (2021) 



Conceptual model of calcite precipitation inside the MICP treated soil column. Stage 1: no precipitation (background). Stage 2: precipitation of fine grain calcite minerals. Stage 3: formation of biofilm within the pore space along with calcite mineral coagulation and layering. Stage 4: steady state, mineral layering and pore clogging is maintained (blue dashed line represents the presumed signal trend if the experiment continued). 

Saneiyan et al. (2021)