Geophysical investigations of marine geohazard risks to infrastructure incoastal zonesTodd Mitchell 1 , Daniel Ebuna 1 Phil Hogan 2 , & Kevin Smith 21 Fugro Pelagos, Inc., 4820 McGrath Street Suite 100, Ventura, CA, 93003, USAtmitchell@fugro.com, debuna@fugro.com2 Fugro Consultants, Inc., 4820 McGrath Street Suite 100, Ventura, CA, 93003, USAphogan@fugro.com3 Fugro Consultants, Inc., 101 W Main Street, Suite 350, Norfolk, VA 23510, USAksmith@fugro.comAbstractSea level rise, tsunamis, nearshore earthquakes, and hurricanes continue to alarm us as they threaten the infrastructureand the lives of millions people globally. Heightened awareness of the impacts of these coastal processesand episodic natural disasters has brought far more attention to the threats to coastal infrastructure and those residingthere. With such a significant amount of existing infrastructure as well as new projects planned within coastal zones,the need for properly identifying the geospatial and geological hazards associated with the sites becomes critical forcost-effective construction and sustained operation throughout their designed life. Improved offshore seismic geophysicalexploration techniques can be applied to these geohazard investigations allowing vastly improved assessmentsof the risks posed by such hazards. Geophysical data is only one element of these studies. Thus it is importantto utilize a platform that can integrate geophysical data with other sources. GIS can play a key role in the integration,analysis, managing, and presentation of these datasets.IntroductionNearly every year a large seismic event takes lives and causes significant damage to infrastructure. These can beparticularly problematic when the fault lies hidden or below the ocean floor, especially in locations close to existinginfrastructure and/or habitation. The devastating earthquakes in Tohoku, Japan (2011), Maule, Chile (2010), andChincha Alta, Peru (2008) are recent examples of these events. The Tohoku earthquake was monitored globally asthe impacts of the earthquake and tsunami devastated the Fukushima Dai-ichi nuclear power plant. The concern forour coastal infrastructure has likely never been greater.Geohazard studies are those that look to identify geologic and geospatial hazards with the potential to hinder theconstruction of or that threaten existing infrastructure. Characterization of coastal geohazards may include conductingtopographic and/or bathymetric surveys to consider terrain impacts (such as slope stability or liquefaction) aswell as geophysical surveys that explore the subsurface, below the seafloor, for hazards (such as seismic groundmotion or sediment processes). New technologies and methods have improved our ability to detect and evaluatefault hazards. Offshore geophysical investigations using seismic reflection exploration techniques have achieved anew level of resolution and fidelity. In recent years, these methods have been refined and have demonstrated unparalleledability to characterize coastal geohazards.However, geophysical data is only one element of the variety of datasets used for these studies. GIS plays an importantrole in assembling a comprehensive data model that also includes geotechnical exploration data, bathymetrysurface data, and (where available) seafloor imagery data. As there are many input data sources, there are also manydisparate end users of these datasets. Geologists, geotechnical engineers, surveyors, contractors, designers, projectowners, and even the public – many people require the data in a usable and accessible format. GIS is often themechanism to enable this.Ultra-high-resolution offshore seismic reflection geophysicsMany geophysical survey projects conducted for infrastructure are performed in relatively shallow water – oftenin the presence of vessel traffic and/or in confined spaces. Small survey areas also require frequent turns of the vessel.These issues may demand operating only during daylight hours and thus necessitate nimble deploy-108
11 th International Symposium for GIS and Computer Cartography for Coastal Zones Managementment/recovery and operations. In addition, infrastructure engineering projects typically require high-fidelity investigationsof the shallow subsurface, rather than the deep-penetration systems that are typical of most seismic explorationprograms.The digital multi-channel GeoEel (2-D) and P-Cable (3-D) systems built by Geometrics (San Jose, CA) areamong the highest-resolution and highest-fidelity offshore seismic reflection data acquisition systems available. Thisis partly achieved through the use of tightly spaced hydrophone groups (which have allowed 3-D data binning asfine as 3.125 m 2 ) and a short sampling interval (down to 0.125 milliseconds). The recent development of a solidcorestreamer also significantly reduces data noise caused by bulge waves, with levels under 5 microbars [Geometrics,2012].2-D Marine seismic reflection system (GeoEel)Digital GeoEel streamers are very compact with diameters of only 4.1 cm for the liquid-filled and 4.45 cm for thesolid-core streamers. The GeoEel can also be deployed as a relatively short streamer system (down to 12.5 m, althoughup to 1200 m streamers is also possible) allowing it to be used in more confined locations, such as in ports ornear bridges (Geometrics, 2012). This also vastly improves the efficiency of vessel mobilization (including shippingthe system, where required), deploying/recovering the sensor array, and maneuvering (turns).The two-dimensional GeoEel systems have been used on a number of projects related to fault characterizationacross the globe, including the San Francisco Bay Bridge replacement, the Bay Area Rapid Transit (BART) seismicretrofit (both in California), and the Izmut Bay Bridge, in Turkey. The use of a 2-D sensor array is most applicableto surveys of larger areas, including the initial detection and location of faults.3-D Marine seismic reflection system (P-Cable)The P-Cable system is well-suited to addressing a wide range of logistical requirements. It is comprised of an arrayof digital multichannel GeoEel streamers to be deployed in combination with any marine seismic energy sourcefor conducting three-dimensional seismic reflection surveys. With the aforementioned benefits of the GeoEelstreamers and the ability to reliably migrate out-of-plane reflections, the P-Cable system is capable of acquiringsome of the most accurate, high-resolution seismic reflection data yet observed. In recent surveys, P-Cable arrayshave been designed to utilize 12 to 24 streamers connected in parallel, with lengths of 25 or 50 m (Geometrics,2013). The size of the array is generally dictated by the size of the vessel, and as nimble operations are a key advantage,keeping the vessel size (and thus cost) low is generally highly desirable. Deployment using as few as 4winches on deck and a crane for paravanes makes it extremely compact compared to typical 3-D seismic arrays.This drastically increases the number of local vessels of opportunity that are capable of performing such 3-D seismicreflection surveys, and reduces the amount of time required for mobilization/demobilization of vessels. Figure 1presents an example P-Cable layback schematic.ApplicationDifferent project applications will likely demand different configurations of these systems. Generally, 2-D deploymentis ideal for coarser surveys, especially those with a large area to be investigated. The 3-D system has theability to acquire far more refined data with full 3-D migration, which makes it the better choice when characterizationof the subsurface geology in a targeted area is required. The ability to maneuver in a project area with relativelyshort survey lines and/or the need to rapidly deploy and recover the equipment make either system logistically appropriatefor acquiring ultra-high-resolution seismic reflection data in nearshore environments.Thus, GeoEel streamers are often used in a two-dimensional configuration for the detection of faults and reconnaissancestudies of larger areas. The use of numerous streamers connected in a P-Cable array provides 3-D seismicdata coverage for more detailed feature characterization – particularly for studying more refined areas (for exampleinvestigating fault characteristics when the approximate location and extent of the fault is known) (Nishenko et al.,2012). The objectives of a given project will likely dictate the appropriate sensor array to use – in some cases, bothmight be deemed necessary in order to maximize efficiency.109