Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch
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Updated
Aug 16, 2019 - Python
Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch
TotalDepth is capable of processing and analysing petrophysical wireline logs.
This repository contains the necessary scripts for oil production flow prediction models that make use of spark's MLlib
Identifying outliers in well logs with machine learning.
A fast way to check and work with .dlis files.
A data prediction algorithm implemented in Python to infer depth and casing size data of California oil wells missing data using surrounding wells in the same oil field. Python libraries such as pandas for manipulating dataframes and geopy were utilized.
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