mhe: A Java repository from Toeplitz

Least-squares horizons with local slopes and multi-grid correlations

This repository contains computer programs written and used by Xinming Wu for 2D and 3D horizon extraction that is discussed in our Geophysics paper Least-squares horizons with local slopes and multi-grid correlations.

If you find this work helpful in your research, please cite:

@article{wu2018least,
    author = {Xinming Wu and Sergey Fomel},
    title = {Least-squares horizons with local slopes and multi-grid correlations},
    journal = {GEOPHYSICS},
    volume = {83},
    issue = {4},
    pages = {IM29-IM40},
    year = {2018},
    doi = {10.1190/geo2017-0830.1},
    URL = {https://doi.org/10.1190/geo2017-0830.1},
}

Requirements

1) Installing the Java Development Kit (JDK)

Before building the package, you must first install Java SE JDK 7 (or 8). This package has been tested on OSX and Linux.

On Windows, we like to put tools such as the JDK in a folder named C:\pro. This folder name is shorter than "C:\Program Files" and contains no spaces, which makes it easy to specify in scripts and environment variables.

2) Building the package

Please install Gradle to automaticcally build the package.

3) Mines Java Toolkit

This package dependes on the JTK (Mines Java Toolkit) by Dr. Dave Hale. However, this package can be built without the needing of installing JTK becuase the edu-mines-jtk-1.0.0.jar has been already included in the ./libs

Summary

Here are brief descriptions of key components:

HorizonExtractor2

Implements 3 methods for extracting 2D horizon curves:

predictive horizons with local slopes only;
least-squares horizons with local slopes only;
least-squares horizons with both local slopes and multi-grid correlations.

HorizonExtractor3

Implements 2 methods for extracting 3D horizon surfaces:

least-squares horizons with local slopes only;
least-squares horizons with both local slopes and multi-grid correlations.

demo2

type ./jy demo2 to run the three 2D horizon extraction methods in 3 different examples

demo3

type ./jy demo3 to run the two 3D horizon extraction methods in 2 examples

please email me xinming.wu@beg.utexas.edu to ask for the 3D datasets

Examples

2D and 3D examples published in the paper.

2D examples

1) Teapot Dome (seismic data provided by the Rocky Mountain Oilfield Testing Center)

Left: predictive horizons with only local slopes

Center: least-squares horizons with only local slopes

Right: least-squares horizons with both local slopes and multi-grid correlations (proposed)

2) Netherlands off-shore F3 (seismic data provided by the Dutch Government through TNO and dGB Earth Sciences)

Left: predictive horizons with only local slopes

Center: least-squares horizons with only local slopes

Right: least-squares horizons with both local slopes and multi-grid correlations (proposed)

3) Curt (seismic data provided by Australian government)

Top row: predictive horizons with only local slopes

Middle row: least-squares horizons with only local slopes

Bottom row: least-squares horizons with both local slopes and multi-grid correlations (proposed)

3D examples

1) Netherlands off-shore F3 (seismic data provided by the Dutch Government through TNO and dGB Earth Sciences)

Top row: least-squares horizons with only local slopes