This Python script creates a Streamlit web application for a quick IPR Calculation for both an oil and gas reservoir. It collects user input test data and with it performs a curve fitting using scipy.optimize, fitting the Inflow Performance Relationship curve to the data.

Repositório destinado ao projeto Petro-Explorer realizado em conjunto com o UENF/CCT/LENEP

We have used a novel supervised learning, Cluster Classify Regress algorithm (CCR) for approximating 2 phase flow in a synthetic toy reservoir with very high accuracy. We compared the performance of CCR with a single DNN architecture in recovering the evolving pressure and saturation fields. The method consists of creating different surrogate ma…

GEOLOGY GRAD STUDENT JUST SHARING MY ALGORITHMS TO GET FEEDBACKS FROM SOFTWARE ENGINEERS AND COMPETITIVE PROGRAMMERS.👍👍👍

Trabalhos desenvolvidos na disciplina de Modelagem de Reservatórios de Petróleo no período 2018.2. Implementação, gráficos e análise de Escoamento Monofásico em Meios Porosos.

An open-source Python package for writing DLIS files.

A collection of utilties to convert, edit, etc., various BSEE/Gov data files

Oil Well Correlation Analysis: Guiding Strategic Decisions through Data Science

R interface to Eclipse parser of binary files

Gas compressibility z-factor calculator package in Python

Load cases for tubulars

Python Automatic Decline Curve Analysis (DCA) For Petroleum Producing wells

A "simple" decline-curve analysis example in Python

Estimate Core-based Permeability from NMR well log data

Capacitance resistance models for waterflood connectivity

Time series forecasting (TSF) is the task of predicting future values of a given sequence using historical data. Recently, this task has attracted the attention of researchers in the area of machine learning to address the limitations of traditional forecasting methods, which are time-consuming and full of complexity. With the increasing availab…

FlowNet - Data-Driven Reservoir Predictions

Educational Vibration programs. Intended for undergraduate and early graduate students.