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Fluids can significantly affect rock electrical conductivity and elastic parameters that are measured using electromagnetic and seismic methods, respectively.
These physical properties are measured using electromagnetic and seismic methods, respectively, offering a unique way to map in situ fluid distributions in real time.
Experimentally, the discharge distribution for 14 flows in which nine obstacles occupying 1/6 of the flow section are introduced one after the other is measured using electromagnetic flow-meters.
The primary objective of this study is to evaluate three regression techniques for calibrating ECa to ECe over spatial scales ranging from a few thousand to a hundred thousand hectares, where ECa was measured using electromagnetic induction equipment.
Active cervical range of motion (ROM) was measured using electromagnetic motion sensors (Fastrak, Polhemus, USA) [ 35].
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The spring constants were directly measured using an electromagnetic force-feedback balance with a force resolution of about 0.2 μN.
The height and width of the anterior superior iliac spine (ASIS) and posterior superior iliac spine (PSIS) were measured using an electromagnetic tracking device with stylus.
Auxiliary data used in this study to represent predictive soil forming factors were terrain attributes (derived from a digital elevation model), Landsat 7 ETM+ data, apparent electrical conductivity (ECa)—measured using an electromagnetic induction instrument (EMI), and a geomorphologic surfaces map.
Spinal curvature was measured using an electromagnetic tracking device (Fastrak, Polhemus).
The range of motion (ROM) of five cadaveric hips was measured using an electromagnetic tracking system (EMTS).
Lower lumbar (LLx), Upper lumbar (ULx) and total lumbar (TLx) spine angles were measured using an electromagnetic tracking system in static postures and across a range of functional tasks.
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