A GIS-based decision-support approach to deepwater drilling-hazard maps

Abstract Drilling-hazard maps — sometimes known as drilling-favorability maps — derived from geophysical data are important tools for communicating the spatial variability of geohazards that might be encountered during deepwater operations. Multiattribute utility theory (MAUT) can be generalized to GIS-based map environments to produce drilling-hazard maps within a structured logical framework that allows for more flexibility and easier sensitivity analysis than simple rule-based approaches. The method is applied in a deepwater area that covers about 2000 km2 of complicated seafloor and shallow-subsurface conditions.

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