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

William C. Haneberg; Joshua T. Kelly; Hallie L. Graves; Gabriela Dan

doi:10.1190/tle34040398.1

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

William C. Haneberg, Joshua T. Kelly, Hallie L. Graves, Gabriela Dan

Earth and Environmental Sciences

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

Drilling-hazard maps - sometimes known as drillingfavorability 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 shallowsubsurface conditions.

Original language	English
Pages (from-to)	398-404
Number of pages	7
Journal	The Leading Edge
Volume	34
Issue number	4
DOIs	https://doi.org/10.1190/tle34040398.1
State	Published - Apr 1 2015

ASJC Scopus subject areas

Geophysics
Geology

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AU - Haneberg, William C.

AU - Kelly, Joshua T.

AU - Graves, Hallie L.

AU - Dan, Gabriela

PY - 2015/4/1

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N2 - Drilling-hazard maps - sometimes known as drillingfavorability 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 shallowsubsurface conditions.

AB - Drilling-hazard maps - sometimes known as drillingfavorability 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 shallowsubsurface conditions.

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

Abstract

ASJC Scopus subject areas

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