Evolution of Porosity and Seismic Properties of Shallow Oceanic Crust.

Abstract

The uppermost oceanic crust undergoes substantial changes in physical properties as it is transported away from a mid-ocean ridge. Porosity must play a central role in dictating such changes. This study sought to use seismic measurements to infer porosities and so to gain an understanding of crustal aging. Techniques used were development of the theory linking porosity to seismic velocity, microscope investigation of seafloor lavas, measurement of ultrasonic velocities in the laboratory, comparisons of theory with field measurements of seismic velocity, and field investigations of seafloor extrusives exposed on land. The project demonstrated that seismic velocities in the seafloor are strongly dependent on pore shape. Those velocities, and the nature of their increases with age and depth, were shown to be completely consistent with the concept of progressive sealing of cracks by alteration products. The project also showed how seismic measurements can be interpreted in terms of overall porosity and the distribution of that porosity over different pore shapes. Together with other ONR-supported crustal aging studies, the project confirmed the idea that the evolution of the oceanic crust is governed by its circulating fluids, making permeability, and hence porosity, key factors in controlling the state of the crust.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1996
Accession Number
ADA319149

Entities

People

  • Gerard J. Fryer
  • Jill L. Karsten
  • Roy H. Wilkens

Organizations

  • University of HawaiĘ»i System

Tags

DTIC Thesaurus Topics

  • Aspect Ratio
  • Boundaries
  • Earth Sciences
  • East Pacific Rise
  • Electron Microscopes
  • Electron Microscopy
  • Measurement
  • Microscopes
  • Microscopy
  • Personal Information Managers
  • Physical Properties
  • Porosity
  • Ridges
  • Scanning Electron Microscopes
  • Scanning Electron Microscopy
  • Seabed
  • Seismic Velocity

Fields of Study

  • Environmental science

Readers

  • Acoustical Oceanography.
  • Fluid Dynamics.
  • Geotechnical Engineering.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference