Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch

The first realistic and public dataset with rare undesirable real events in oil wells.

TotalDepth is capable of processing and analysing petrophysical wireline logs.

Offshore drilling platforms near the coast of Nigeria. Accessible at https://doubleoffshore.org/

A Python Module for Outliers Detection, Visualization and Treatment in Oil Well Datasets

Multivariate oil production time series analysis with XGBoost and neural networks

Oil and gas production has skyrocketed in Pennsylvania in the past decade as a result of improved techniques with horizontal drilling and hydraulic fracturing. This analysis will look at the waste produced by these wells and how that waste is handled.

This repository contains the necessary scripts for oil production flow prediction models that make use of spark's MLlib

Conducting a well-test analysis on the volve dataset to test our reservoir for better understanding of some useful reservoir properties

I worked with OilyGiant, a petroleum mining firm, to find new oil well locations. I created a model to identify high-profit zones and assessed potential earnings and risks using bootstrapping techniques.

Web application to store P.S.I records of PDVSA Oil Wells (C.R.U.D + charts)

Backend for characterization of fluid physical properties given pressure and temperature

Projects relevant to the oil & gas industry built by Microsoft

Proof of Private Mineral Assets

Exploratory analysis of seismic data using R and RStudio

Ajude a OilyGiant a encontrar os melhores locais para novos poços de petróleo. Use análise de dados e regressão linear para prever reservas e tomar decisões de investimento, mantendo o risco de prejuízo abaixo de 2,5%.

Identifying outliers in well logs with machine learning.

Analysis of complaints against Colorado oil wells.

A fast way to check and work with .dlis files.