Well decline curve analysis

This program reads well header data and production logs (e.g. exported from Drilling Info as .csv files) and walks the user through the genreation of decline curves for each well provided in the input data. Decine curves are fit with a the hyperbolic curve that is estimated using an iterative least squares method.

ENVIRONMENT

Python 2.7
Required Libraries

• sys
• os
• numpy
• pandas
• matplotlib version 1.5.3
• geopy
• mpl_toolkits.basemap

0.0 Provide .csv of Well production data and .csv of well header data

Examples in ./data prepare data by deleting all the commas from the values in the 'Well production data' and 'well header data' files This can be done easily in excel with find-and-replace.

1.0 Select wells based on critieria available in well data

Follow the prompts after starting program

2.0 Compute type curve

Based on https://www.uky.edu/KGS/emsweb/devsh/production/decline_obj.py

3.0 plot type curve

Results are saved to ./results

4.0 Plot map of wells used in type curve

NOTE: this function will only work if shapefiles are provided in a folder located at '../well_decline_curve_shapefiles/*'
The shapefiles used in this function are:

1. map.readshapefile('../well_decline_curve_shapefiles/PB_County/PB_County', 'PB_County', drawbounds = False)
2. map.readshapefile('../well_decline_curve_shapefiles/PB_County/PB_County', 'PB_State', drawbounds = False)
3. map.readshapefile('../well_decline_curve_shapefiles/PB_County/PB_County', 'PB_survey', drawbounds = False)

Mapping results are saved to ./results

Open Stories: 3. batch-process multiple GPS locations