GeoWarp: Warped spatial processes for inferring subsea sediment properties
Michael Bertolacci, Andrew Zammit-Mangion, Juan Valderrama Giraldo,, Michael O'Neill, Fraser Bransby, and Phil Watson

TL;DR
GeoWarp is a hierarchical spatial modeling framework that infers 3-D seabed sediment properties by accounting for nonstationarity and anisotropy, improving prediction accuracy for offshore engineering applications.
Contribution
It introduces a novel warping-based approach to model nonstationary and anisotropic spatial processes in 3-D seabed sediment analysis.
Findings
GeoWarp accurately captures complex sediment spatial distributions.
It outperforms existing methods in predictive validation.
Produces realistic 3-D sediment simulations for engineering use.
Abstract
For offshore structures like wind turbines, subsea infrastructure, pipelines, and cables, it is crucial to quantify the properties of the seabed sediments at a proposed site. However, data collection offshore is costly, so analysis of the seabed sediments must be made from measurements that are spatially sparse. Adding to this challenge, the structure of the seabed sediments exhibits both nonstationarity and anisotropy. To address these issues, we propose GeoWarp, a hierarchical spatial statistical modeling framework for inferring the 3-D geotechnical properties of subsea sediments. GeoWarp decomposes the seabed properties into a region-wide vertical mean profile (modeled using B-splines), and a nonstationary 3-D spatial Gaussian process. Process nonstationarity and anisotropy are accommodated by warping space in three dimensions and by allowing the process variance to change with…
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Taxonomy
TopicsGeological Modeling and Analysis · Methane Hydrates and Related Phenomena · Remote Sensing and LiDAR Applications
