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Rock-physics characterization of chalk by combining acoustic and electromagnetic properties
On the usage of diffractions in ground-penetrating radar reflection data: Implications for time-lapse gas migration monitoring
Diffraction imaging of ground-penetrating radar data
Bayesian Markov-Chain-Monte-Carlo Inversion of Time-Lapse Crosshole GPR Data to Characterize the Vadose Zone at the Arrenaes Site, Denmark
Comparing Plume Characteristics Inferred from Cross-Borehole Geophysical Data
Calibrating Vadose Zone Models with Time-Lapse Gravity Data All rights reserved. No part of this periodical may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher.
Spatial Distribution of Seepage at a Flow-Through Lake: Lake Hampen, Western Denmark All rights reserved. No part of this periodical may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher.
Visualizing Unsaturated Flow Phenomena Using High-Resolution Reflection Ground Penetrating Radar All rights reserved. No part of this periodical may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher.
Geostatistical inference using crosshole ground-penetrating radar
Estimation of Chalk Heterogeneity from Stochastic Modeling Conditioned by Crosshole GPR Traveltimes and Log Data
Abstract Rocks from the Chalk Group host important reservoirs of groundwater onshore Denmark and oil and gas in the North Sea. Fine-scale heterogeneity of rocks from the Chalk Group is investigated by stochastic modeling conditioned by first-arrival crosshole GPR traveltimes and lithology data from boreholes. The water-saturated carbonate-dominated rocks contain sharp contrasts among highly porous low-velocity carbonate, thin intercalations of flint, and hardened low-porosity carbonate of higher velocity. The stochastic simulation algorithm can model the contrasting lithologies effectively. It is found that bimodal distributions produce geologically plausible representations of the subsurface. Moreover, the variety of tested stochastic models that honors the specified data uncertainties and prior information provide a good overview of possible subsurface scenarios that the combined data set allows for. Results motivate future GPR-based tracer tests and time-lapse studies for generation of new knowledge of the dynamics of Chalk Group fluid flow.