Metadata-Version: 2.1
Name: petroeval
Version: 1.1.4.3
Summary: UNKNOWN
Home-page: https://github.com/olawaleibrahim/petroeval
Author: Ibrahim Olawale
Author-email: ibrahim.olawale13@gmail.com
License: UNKNOWN
Description: ## 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
        
        -   Predicting well lithofacies and lithology values using machine learning
        
        -   Data preparation and preprocessing for machine learning us use
        
        -   Visualizing well logs
        
        -   Reading las files
        
        -   Resolving missing values in well logs
        
        -   Automatic correction of estimated properties
        
        ### 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<br>
        
            ## 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 repo link:     
        https://github.com/olawaleibrahim/beta-tests/tree/main/petroeval
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
