The code, scripts, and data files in this repository are related to geothermal research. Most code was developed as part of the geothermal play fairway analysis project at Cornell University (see Acknowledgment and Disclaimer below, Principal Investigator Teresa Jordan, report submitted Oct. 2015). The sub-repositories are for bottom-hole temperature corrections, outliers, and reservoir ideality. The document geothermal_bhts_outliers_documentation.tex provides more detailed information on the scripts, codes, and data.
This code is offered under the MIT License. See LICENSE.md for more details.Please cite this repository as (year of latest commit, commit ID, and date retrieved should be substituted into the format):
Whealton, C.A. and J.D. Smith (<year>). "geothermal_pfa-Code related to geothermal research". GitHub repository. https://github.com/calvinwhealton/geothermal_pfa <commit ID>, retrieved <date>.
General code used to "correct" bottom-hole temperatures based on depth of the well and location within the Appalachian Basin. Inputs are depth in meters.
Algorithms to identify spatial outliers. There are options for identifying local outliers based on several criteria including the closest n points or points within a certain distance.
Code to Monte Carlo the distribution of reservoir ideality based on several input parameters.
Several scripts and files used when combining the risk factors (variables impacting project success) into play fairway risk maps for the region.
The information, data, or work presented herein was funded in part by the Office of Energy Efficiency and Renewable Energy (EERE), U.S. Department of Energy, under Award Number DE-EE0006726.
The information, data, or work presented herein was funded in part by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.