Nodal analysis using Python

Data Analytics on the Insights of Upstream and Downstream of Oil Production for Forecasting

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A fast, robust and portable Witsml to BSON parser

Reformat fracking production numbers from West Virginia to a format more useful to GIS

NTNU Master Thesis, Energy and Process Engineering Department, Specialization: Industrial Process Technology

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

Oil Production Flow Rate Prediction with Deep Neural Network Algorithm such as Recurrent Neural Network (RNN) and Long-Short Term Memory (LSTM). This Model will testing with Validation method called Walk-Forward Validation (WFV). Basically the validation seperate in two part, the first WFV over actual data and WFV over predicted data.

landing page for OppinetSIM by RC-OPPINET ITB

Official Node.js API wrapper for energypriceapi.com

Advanced multi-segmented well completion tool

In this code, RGB spectrum is generated using Arduino

Machine learning models to forecast sandface pressure from RTA data

Identifying outliers in well logs with machine learning.

Calculator package of physical properties of Gas, Oil, and Water in Python.

Code for formation description to transcription/classification

Plotting well trajectory and horizon with volve dataset

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.

Simple tubing counting tool

Exploration of data and technologies of the oil and gas sector