Information and Data to accompany paper "Assessment of Hydraulic Factor Height Using Timelapse Crosswell Shear-Wave Data" by David Rampton and Mitchell Small
A collection of folders containing information, data, and code used for paper “Assessment of Hydraulic Fracture Height Using Timelapse Crosswell Shear-Wave Data”.
Author Contact Information:
David Rampton
Carnegie Mellon University
5000 Forbes Avenue, Pittsburgh, PA 15213
drampton@andrew.cmu.edu
Alternate Email: drampton10@hotmail.com
Author Contact Information
Mitchell Small
Carnegie Mellon University
5000 Forbes Avenue, Pittsburgh, PA 15213
Email: ms35@cmu.edu
Data Overview:
The information provided is organized into five folders, each with their own README file to provide detailed explanations.
The folders are:
00_helpful_project_data - Schlumberger survey acquisition reports, well locations spreadsheet, contractor processing presentations.
01_rotation_data+scripts – input data and scripts used to perform the rotation analysis presented in the paper. Detailed steps are shown in subfolder baseline/baseline_rad/source_workup. README file in this folder provides significant detail and workflow on how to use the data and scripts to duplicate the results.
02_rotation_worksheets – final results from the rotation code and subsets created based on amplitude and quality.
03_SU_code – two C++ programs used in the analysis that allow vector rotation when source and receiver azimuths are not aligned.
04_azimuthal_analysis – data and R scripts to evaluate azimuthal data.
05_inversion_data – travel-time inversion data related to previous paper.
Software used for this paper includes:
Matlab – the inversion code and some of the processing is on the Matlab platform. The code provided by Lawrence Berkeley National Lab is dominantly Matlab scripted, though some was written in C++ and compiled to run with Matlab. This code is not public domain and unfortunately cannot be shared, but it is similar to inversion and raytracing code available elsewhere.
Rstudio – some of the plots and the azimuthal analysis was performed in Rstudio. Scripts are available that show components of the tidyverse used as well as some statistical simplifications provided by Statistical Rethinking, a book by R. McElreath.
Seismic Unix – public domain code from the Colorado School of Mines and supported by John Stockwell was used for seismic processing and performing the shear wave vector rotations in this paper. The code and scripts are provided in sections 01 and 03.
Processing seismic requires good visualization software, something not easily available outside a commercial operation. Thankfully discovered SeiSee, which can read both segy and SU data with trace header information accessible and some basic processing for quick amplitude and frequency adjustment.
Equipment-specific information:
Processing was performed on a Linux workstation, then later on a Mac Mini.
