Estimation of layer parameters for linear P- and S-wave velocity functions

Estimation of layer parameters for linear P- and S-wave velocity functions

This page is a publication and represents journal papers, conference papers and proceedings etc.

0
No votes yet

users have rated this content. We would love to have your vote as well. Log in and rate!



For a horizontally layered medium with isotropic layers with constant P- and S-wave velocity gradients, it is possible to estimate the velocity functions ͑gradient and velocity at the top of each layer and thickness of each layer. From large-off-set PP seismic reflections, one can estimate three traveltime parameters: the zero-offset two-way traveltime, the NMO velocity, and a heterogeneity coefficient responsible for the nonhyperbolicity of the traveltime curve, using the different traveltime approximations. From large-offset ͑offset/depth greater than two PS seismic reflections, one can estimate two traveltime parameters: zero-offset two-way traveltime and NMO velocity. From the estimated traveltime parameters at the top and bottom of a layer, it is possible to compute the thickness and velocity functions of the layer.
Content

For a horizontally layered medium with isotropic layers with constant P- and S-wave velocity gradients, it is possible to estimate the velocity functions ͑gradient and velocity at the top of each layer and thickness of each layer. From large-off-set PP seismic reflections, one can estimate three traveltime parameters: the zero-offset two-way traveltime, the NMO velocity, and a heterogeneity coefficient responsible for the nonhyperbolicity of the traveltime curve, using the different traveltime approximations. From large-offset ͑offset/depth greater than two PS seismic reflections, one can estimate two traveltime parameters: zero-offset two-way traveltime and NMO velocity. From the estimated traveltime parameters at the top and bottom of a layer, it is possible to compute the thickness and velocity functions of the layer.

Other key information

206 results
Below, you will find related content (content tagged with same topic(s) as this publication)
Content type: Ongoing activity

A benchmark for integration of reservoir engineering and geophysics

This activity facilitates the collaboration between reservoir engineers and geophysicists

0
Content type: Publication

A Derivative-Free Approach for the Estimation of Porosity and Permeability Using Time-Lapse Seismic and Production Data

This is a scientific publication written in collaboration with the IO Center.

0
Content type: Publication

A Lagrangian-Barrier Function for Adjoint State Constraints Optimization of Oil Reservoirs Water Flooding

This is a scientific publication written in collaboration with the IO Center.

0
Content type: Publication

A Robust Scheme for Spatio-Temporal Inverse Modeling of Oil Reservoirs

This is a scientific publication written in collaboration with the IO Center.

0
Content type: Publication

A Sparse Basis POD for Model Reduction of Multiphase Compressible Flow

This is a scientific publication written in collaboration with the IO Center

0
Content type: Publication

A structured approach to improved condition monitoring

A paper describing a systematic approach to select and implement appropriate condition monitoring for systems, structures and components.

0
Content type: Presentation

Acceptance criteria for dynamic risk analysis

Presentations at IO Center Work Shop Sept 2013

0
Content type: Presentation

Activities on Dynamic Optimization

TC Meeting - September 2013

0
Content type: Publication

Adaptive Multiscale–Streamline Simulation and Inversion for High-Resolution Geomodels

This is a scientific publication written in collaboration with the IO Center.

0
Content type: Presentation

Addressing Dynamic Risk in the Petroleum Industry by Means of Innovative Analysis Solutions

Presentation given at the CISAP-6 conference in Bologna (13-16 April 2014)

0

Pages