Using Cloud-Based Array Electromagnetics on the Path to Zero Carbon Footprint during the Energy Transition

One of the key geophysical technologies for the energy industry during energy transition to zero footprint is fluid imaging. Knowledge of fluid distribution allows better, more optimized production reducing thus CO2 footprint per barrel produced and for CO2 storage the knowledge of where stored fluids go is mandatory to monitor reservoir seals. Electromagnetic is the preferred way to image fluid due to its strong coupling to the fluid resistivity. Unfortunately, acquiring and interpreting the data takes too long to contribute significantly to field operation and cost optimization. Using artificial intelligence and Cloud based data acquisition we can reduce the operational feedback to near real time and for the interpretation to close to 24 h. This then opens new door for the usefulness of this technology from exploration, monitoring and allows the application envelope to be enlarged to much noisier environment where real time acquisition can be optimized based on the acquired data.

Multiscale reservoir surveillance and monitoring

Geoscientists and reservoir engineers are challenged to integrate data of different scales to better understand fluid movement in oil reservoirs. Different technologies are capable of imaging fluid movement in the reservoir at different scales. Two-dimensional fluid imaging has been achieved recently through crosswell and surface-to-borehole electromagnetic (EM) measurements. Three-dimensional fluid movement imaging has shown potential by using surface seismic data volumes. The Multiscale Reservoir Surveillance and Monitoring Workshop, held virtually 7–9 December 2020, attempted to address the challenge of how to integrate these measurements obtained at different scales into a workflow to improve the understanding of fluid flow, which is critical for sweep efficiency and recovery.

Cerebrospinal Fluid, Imaging, and Physiological Biomarkers in Dementia With Lewy Bodies

Dementia with Lewy bodies is a progressive neurodegenerative disorder, clinically characterized by gradual cognitive impairment and fluctuating cognition, behavioral changes and recurrent visual hallucinations, and autonomic function and movement symptoms in the type of parkinsonism. It is the second most common type of dementia in the Western world after Alzheimer disease. Over the last 20 years, many neurophysiological, neuroimaging, and cerebrospinal fluid (CSF) biomarkers have been described toward a better discrimination between dementia with Lewy bodies, Alzheimer disease, and other neurodegenerative conditions.In the present review, we aim to describe the neurophysiological, imaging, and CSF biomarkers in dementia with Lewy bodies and to question whether they could be reliable tools for the clinical practice.