• Physics of seismic and acoustic energy interaction with seafloor topography and subsea floor

  • Advanced electro-optic, electromagnetic, and acoustic techniques for mapping and imaging the seafloor and sub-seafloor and its variability

  • Analysis and modeling of atmospheric processes on coastal, regional, and global scales

  • Systems for shipboard tactical environmental data acquisition, management, and display

  • Satellite data image analysis

  • Simulation of atmospherics

ONR 33 addresses technology needs in environmental and materials science. Areas of R&D within ONR 33 that are directly applicable to oil and gas industry needs include the following:

  • Separation of oily wastewater at sea

  • Subsea construction technologies

  • Monitoring methods for structures and coatings

  • Environmental monitoring and modeling methods

Recent declassification of remote sensing data from defense satellites such as the Navy’s geodetic satellite GEOSAT has generated tremendous interest in both the petroleum and fisheries industry, as these new data allow greater accuracy in determining seafloor structure from observations of sea surface elevations. The offshore petroleum industry needs surface meteorologic data as well as bathymetric data and oceanographic data for many specific areas (e.g., the Malacca Straits, the South China Sea, the Gulf of Thailand, Scotland’s northwest approaches, Ireland’s western approaches, the Gulf of Mexico, coastal West Africa [Angola], and Sahkalin Island). If this type of meteorological and oceanographic data is made available to the industry, enormous amounts of proprietary data might be made available to ONR in exchange. The petroleum industry has spent millions of dollars, over several decades, to acquire detailed sub-bottom profiles (including subseafloor data to 500 feet), as well as data on seafloor structures, moorings, and relevant modeling technology (David M. Clementz, Chevron Petroleum Technology Corporation, personal communication, 1995).

FISHERIES

Fisheries enterprises can be divided into two major elements: (1) commercial and sport fishing; and (2) government agencies, such as the National Marine Fisheries Service, that monitor and regulate fish stocks. These two segments of fisheries have similar technology needs both in terms of environmental data and modeling as well as remote sensing.

Successful commercial and sport fishing operations and accurate fish popu-



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