Metadata-Version: 2.1
Name: petroeval
Version: 1.1.2
Summary: UNKNOWN
Home-page: https://github.com/olawaleibrahim/petroeval
Author: Ibrahim Olawale
Author-email: ibrahim.olawale13@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: matplotlib
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: lasio

## Formation Evaluation Package

Formation evaluation module for geoscientists, petrophysicists for easy and quick quantitative petrophysical analysis.

Features include:

-   Calculating petrophysical parameters for reservoir quantization:
        Parameters like Total Porosity, Effective Porosity, Water Saturation, Oil Saturation

-   Estimating Reservoir Volumes:
                Gross rock Volume
                Net to Gross Volume
                Net Pay of Reservoir section

-   Visualizing well logs for correlation

-   Resolving missing values in well logs

-   Automatic correction of estimated properties

Subsequent release features:

-   Total oil or gas in place
-   Permeability of reservoir section
-   Official documentations to follow

### QUICK TUTORIAL

         #reading  a single lasio file

         from petroeval import read_lasio
         las = read_lasio('WLC_PETRO_COMPUTED_INPUT_1.LAS')
         df = las.df()

         #reading  multiple lasio files

         from petroval import read_lasios
         las1='WLC_PETRO_COMPUTED_INPUT_1.LAS'
         las2='WLC_PETRO_COMPUTED_INPUT_1.LAS'
         las=read_lasios(las1,las2) =>returns a list of the read lasio objects

        #import modules and functions

        import numpy
        from petroeval import evaluate_reservoir
        from petroeval.visualizations import summary, log_plot

        #Create an instance of the reservoir section passing in required arguments

        from evaluate_reservoir import FormationEvaluation

Tutorial link: https://github.com/olawaleibrahim/petroeval/blob/master/petroeval/Tutorial.ipynb


