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 km 2 of complicated seafloor and shallowsubsurface conditions.

Geohazard detection using 3D seismic data to enhance offshore scientific drilling site selection

“…This requires a detailed spatial analysis of all potential risks and the consideration of additional viable target areas, both regionally and stratigraphically (Sel-vage et al, 2012). For IODP Proposal 909, the sensitive environment associated with high-latitude continental shelves, as well as the likelihood of hydrocarbon occurrences, made a robust risk analysis increasingly important (Hasle et al, 2009;Nadim and Kvalstad, 2007;Li et al, 2016). The geohazard assessment was conducted in line with commercial site safety analyses (Jensen and Cauquil, 2013) whilst focussing on hazards that commonly create risks to drilling operations within both deep water continental margin settings (hydrocarbon occurrences, gas hydrates, near-surface faults, etc.…”

Concept Stage Site Assessments, Deepwater Development Risks, and Long-Term Value Preservation: Why Getting it Right the First Time is More Important Than Ever

“…Multicriteria Decision Support Concept stage decision making can also be supported with so-called utility or cost maps created using GIS adaptations of methods such as multi-attribute utility theory (MAUT) or analytical hierarchy process (AHP), both described in Munier (2011) and many other references. 7-Illustrated workflow for regional probabilistic slope stability assessment using a seafloor surface derived from exploration 3D seismic data typically available at the concept stage Another example of the kind of decision support maps that can be made from exploration 3D seismic data typically available at the concept stage is a shallow geohazard and seafloor favorability map, as described by Haneberg et al (2015b). Figure 8 is a schematic illustration of this kind of routing process as performed using a regional 3D seismic data set.…”

A new approach to assess ancient marine slope instability using a bivariate statistical method

“…In fact the use of GIS techniques, thus far applied to onshore risk assessments, in the characterisation of offshore instability processes has improved our knowledge of the factors that trigger such catastrophic events (McAdoo, 2000). By combining 3D seismic datasets with GIS databases, one can explore the different tools used in GIS spatial analyses (Haneberg et al, 2015), taking advantage of methodologies widely tested onshore.…”

“…Offshore slope stability analyses have recently benefited from improvements in data acquisition, data processing and analytical techniques. Some of these improvements allow the computation of models representing the spatial distribution of the physical parameters that may influence the occurrence of mass movements (Urgeles et al, 2006, Micallef et al, 2007, Micallef, 2011, Li et al, 2014, Haneberg et al, 2015.…”