Editing HoustonWW2018 (section)

==Synopsis of Results with Links==
===Summary of all workshop presentations===
Presentation summarizing all the individual presentations is at the link [https://drive.google.com/open?id=1EM1jIy-osfqBmYBWL7pssIZqjcn8jdxf].

===Derek Parks===
Some participants found the current BIOS on  Windows computers would not allow them to boot Linux from a USB solid state disk.  Derek created a virtual system that provided a platform that performed for the workshop.  This virtual system can be downloaded at the link [https://drive.google.com/open?id=1sRojofwRbNVYtrzqU2e-CaU651xJmPAl].  Derek provided updates to python files in Madagascar required to make the system run under Python 3.<br>

===Derek Parks and Mark Mlella===
Derek and Mark created Jupyter notebooks with Python to read the Teapot Dome 3D segy final volume and displayed using Matplotlib and Mayavi.  They also read horizon data which they used to flatten horizons and display stratal slices.  They created the amplitude envelope and spectral decomposition volumes and displays. Their presentation is available at the link [https://drive.google.com/file/d/1Wl3MNZotqWMYxPcB5iGL0Kl6lUwih_Gd/view?usp=sharing].<br>

===Matt Griffiths===
Matt experimented with Apache Spark, a parallel processing tool, that can be used on seismic data.  Spark can be run on a cluster of a single PC with multiple cores.  He found it easy to covert his code to run in parallel.  His Principle Component Analysis ran about 3 times faster on his computer.  His presentation is available at the link [https://drive.google.com/file/d/1mzOurkpcwB_KpG3bK4TyxRHO6R-afF-z/view?usp=sharing].<br>
His spark code is at the link [https://drive.google.com/file/d/14xONUqo_eaQDYb_qVV_Ykt7rUMDxNcef/view?usp=sharing].<br>
Matt also experimented with a simple 3D seismic viewer based on pywidgets and matplotlib.  This code is available at the link [https://drive.google.com/file/d/1-28Nj5_r368GfougrABcJvCHgkt-GYHi/view?usp=sharing].<br>

===Rafael Pinto and Thu Nguyen===
Rafael and Thu processed wells from the Poseidon project in the NW Shelf Australia.  They used lasio to read the data into a Panda data frame, then loaded the data into an sql database.  Lasio processes logs from a single well.  The sql database is good to manipulate multiple wells on a project.  They visualized cross plots in matplotlib and datashader.  Datashader plots were better.  Their jupyter notebook can be downloaded from this link [https://drive.google.com/open?id=16Ul7r32VZRbrs7JxMIuv0ip0a0AG3JoV].<br>

===Lian Jiang===
Lian worked on Facies classification using Machine Learning.  He used a neural net to address the ML challenge data set from the Brendan Hall's Leading Edge Article.  Ran trading experiments searching for the best results varying hyper parameters like learning_rate, epochs, and batch_size.  Encouraging results are in his presentation at [https://drive.google.com/file/d/1BaceNSRvlKXsXd1LbhYfX-Wan-9nq8Ss/view?usp=sharing].<br>

===Carlos da Costa===
Carlos provided a new viewer for Madagascar.  Sfpgreywfl, written in python, will plot a wavefield with a velocity background.  He also wrote a julia version of acoustic finite difference wave equation modeling.  This programs are being added to the Madagascar repository.  His presentation can be downloaded by the link [https://drive.google.com/open?id=1gwGjVsabRADw4-cQwnOPI_x2GcxapO22]

===Sergey Fomel===
Madagascar already had example of acoustic finite difference wave equation modeling in C, C++, and Fortran90.  Sergey Fomel implemented the same algorithm in Python. and benchmarked the program in all the languages  These are described in the presentation: [https://drive.google.com/file/d/1w302kWFOLPWJwUqAt1NDdBGJ__73XVX1/view?usp=sharing].<br>