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

Access to Document

10.1190/tle34040398.1

Cite this

@article{8e9b738d6d934170bcf33165c5ff096c,

title = "A GIS-based decision-support approach to deepwater Drilling-hazard maps",

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.",

author = "Haneberg, \{William C.\} and Kelly, \{Joshua T.\} and Graves, \{Hallie L.\} and Gabriela Dan",

year = "2015",

month = apr,

day = "1",

doi = "10.1190/tle34040398.1",

language = "English",

volume = "34",

pages = "398--404",

number = "4",

}

TY - JOUR

T1 - A GIS-based decision-support approach to deepwater Drilling-hazard maps

AU - Haneberg, William C.

AU - Kelly, Joshua T.

AU - Graves, Hallie L.

AU - Dan, Gabriela

PY - 2015/4/1

Y1 - 2015/4/1

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.

UR - http://www.scopus.com/inward/record.url?scp=84964299680&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84964299680&partnerID=8YFLogxK

U2 - 10.1190/tle34040398.1

DO - 10.1190/tle34040398.1

M3 - Article

AN - SCOPUS:84964299680

SN - 1070-485X

VL - 34

SP - 398

EP - 404

JO - The Leading Edge

JF - The Leading Edge

IS - 4

ER -

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

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this