How to get a 3D synthetic seismic data?

02 March 2023 1 7K Report

I need the data for experiments of super-resolution. That is, low-resolution data can be get by convoluted Ricker wavelet with low-frequency, high-resolution data can be get by convoluted Ricker wavelet with high-frequency.

SHAHEEN MOHAMMED ALHIRMIZY

Generating 3D synthetic seismic data involves simulating the reflection and transmission of seismic waves in a subsurface model. Here are the general steps for creating 3D synthetic seismic data:

Create a subsurface model: The subsurface model should represent the geological features of the subsurface, such as the location and geometry of geological formations, faults, and other structures. The model can be created using geological data, such as well logs, seismic data, and geologic maps.

Assign rock properties: Each layer of the subsurface model should be assigned appropriate rock properties, such as density, compressional wave velocity, and shear wave velocity. These properties can be estimated using well logs and other geological data.

Generate a seismic source: A seismic source is used to generate seismic waves that travel through the subsurface model. The source can be a single point source, a linear source, or an array of sources.

Simulate wave propagation: The seismic waves generated by the source propagate through the subsurface model, reflecting and refracting at each layer boundary based on the rock properties of each layer.

Record seismic data: Seismic data is recorded at the surface or in boreholes as the seismic waves are reflected and refracted back to the surface. The recorded data can be used to create 3D seismic images of the subsurface.

There are several software tools available for generating 3D synthetic seismic data, such as Petrel, GeoSynthetics, and OpenSees. These tools provide a user-friendly interface to create subsurface models and simulate wave propagation to generate synthetic seismic data. However, creating accurate 3D synthetic seismic data requires careful consideration of geological data, rock properties, and modeling assumptions.

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