Geophysical evaluation of solute plume spatial moments using an adaptive POD algorithm for electrical resistivity imaging

• Published in: Journal of hydrology (Amsterdam) Vol. 517; pp. 471 - 480
• Main Authors: Oware, E.K., Moysey, S.M.J.
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier B.V 19.09.2014; Elsevier
• Subjects: Adaptive algorithms; algorithms; Earth sciences; Earth, ocean, space; electrical resistance; Electrical resistivity; Errors; Exact sciences and technology; geophysics; Hydrology; Hydrology. Hydrogeology; image analysis; Imaging; Model Order Reduction; Noise; peroxidase; Physics-based regularization; Plumes; Proper Orthogonal Decomposition; Resistivity imaging; solutes; Spatial moments; Training; variance; wells; Physics-based regularization; Spatial moments; Resistivity imaging; Proper Orthogonal Decomposition; Model Order Reduction; algorithms; models; inverse problem; solutes; morphology; plumes; concentration; decomposition; digital simulation; recovery; transport; subsurface; noise; errors; electrical resistivity

•Center of mass estimates from the adaptive algorithm converge in a common region.•Compactness of estimated plume morphology improves with increasing updates.•Direct sampling (DS) moments are dependent on sampling sensitivity and coverage.•Moments estimation power from DS stabilizes after 12 wells h...