ALBERT

Description: Electromagnetic loop systems rely on the use of non‐conductive materials near the sensor to minimize bias effects superimposed on measured data. For marine sensors, rigidity, compactness, and ease of platform handling are essential. Thus, commonly a compromise between rigid, cost‐effective, and non‐conductive materials (e.g. stainless steel versus fiberglass composites) needs to be found. For systems dedicated to controlled‐source electromagnetic measurements, a spatial separation between critical system components and sensors may be feasible, whereas compact multi‐sensor platforms, remotely operated vehicles, and autonomous unmanned vehicles require the use of electrically conductive components near the sensor. While data analysis and geological interpretations benefit vastly from each added instrument and multidisciplinary approaches, this introduces a systematic and platform immanent bias in the measured electromagnetic data. In this scope we present two comparable case studies targeting loop‐source electromagnetic applications in both time and frequency domain: the MARTEMIS time domain system trades the compact design for a clear separation of 15 m between an upper fiberglass frame, holding most critical titanium system components, and a lower frame with its coil and receivers. In case of the GOLDEN EYE frequency domain profiler, the compact and rigid design is achieved by a circular fiberglass platform, carrying the transmitting and receiving coils, as well as several titanium housings and instruments. In this study, we analyze and quantify the quasi‐static influence of conductive objects on time and frequency domain coil systems by applying an analytically and experimentally verified 3D finite element model. Moreover, we present calibration and optimization procedures to minimize bias inherent in the measured data. The numerical experiments do not only show the significance of the bias on the inversion results, but also the efficiency of a system calibration against the analytically calculated response of a known environment. The remaining bias after calibration is a time/frequency dependent function of seafloor conductivity, which doubles the commonly estimated noise‐floor from 1% to 2%, decreasing the sensitivity and resolution of the devices. By optimizing size and position of critical conductive system components (e.g. titanium housings) and/or modifying the transmitter/receiver geometry, we significantly reduce the effect of this residual bias on the inversion results as demonstrated by 3D‐modelling. These procedures motivate the opportunity to design dedicated, compact, low‐bias platforms and provide a solution for autonomous and remotely steered designs by minimizing their effect on the sensitivity of the controlled‐source electromagnetic sensor.