Ricardod671
Petroleum Engineer and Data Analyst with a fervor for unraveling the intricacies of problems through code and logic.
Poza Rica,Ver
Pinned Repositories
Reservoir-Engineering-Gas-Propertiesr
The goal of this project is to provide a Python-based solution for calculating the properties of gas in a reservoir. As a result, this code will be a valuable resource for Petroleum Engineering students who want to learn more about the implementation and calculation of these properties.
Bellabeat-EDA
This is my first personal project, I take the Data Analytics certification by Google and as final project I made this project in where I did an EDA for Bellabeat and the data come from Kaggle.
cookiecutter-personal
covid_analysis
curso-entorno-avanzado-ds
datasets-platzi-course
Datos para los distintos notebooks del curso de platzi
deep-learning-platzi
Materiales del curso de Deep Learning con Pytorch de Platzi
EDA-in-the-Province-of-British-Columbia
This project involves performing an Exploratory Data Analysis (EDA) on oil production data in the Province of British Columbia, Canada. Using data from the BC Energy Regulator, a PostgreSQL database was created and populated with transformed data using Power Query.
graph_zfactor
In this project, it is generate a graph depicting the gas compressibility factor (z), aiming to replicate the z plot presented in (Craft & Howkins, 1991).This involves employing the Dranchuk and Abou-Kassem correlation and implementing the secant method for accurate results.
Hands-On-Data-Analysis-with-Pandas-2nd-edition
Materials for following along with Hands-On Data Analysis with Pandas – Second Edition
Ricardod671's Repositories
Ricardod671/Ricardod671
Ricardod671/Ricardod671.github.io
Ricardod671/EDA-in-the-Province-of-British-Columbia
This project involves performing an Exploratory Data Analysis (EDA) on oil production data in the Province of British Columbia, Canada. Using data from the BC Energy Regulator, a PostgreSQL database was created and populated with transformed data using Power Query.
Ricardod671/graph_zfactor
In this project, it is generate a graph depicting the gas compressibility factor (z), aiming to replicate the z plot presented in (Craft & Howkins, 1991).This involves employing the Dranchuk and Abou-Kassem correlation and implementing the secant method for accurate results.
Ricardod671/pyreservoir
Python utilities for reservoir engineering calculations
Ricardod671/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Ricardod671/sql_book
Code repository for the book SQL for Data Analysis
Ricardod671/Bellabeat-EDA
This is my first personal project, I take the Data Analytics certification by Google and as final project I made this project in where I did an EDA for Bellabeat and the data come from Kaggle.
Ricardod671/Reservoir-Engineering-Gas-Propertiesr
The goal of this project is to provide a Python-based solution for calculating the properties of gas in a reservoir. As a result, this code will be a valuable resource for Petroleum Engineering students who want to learn more about the implementation and calculation of these properties.
Ricardod671/Hands-On-Data-Analysis-with-Pandas-2nd-edition
Materials for following along with Hands-On Data Analysis with Pandas – Second Edition
Ricardod671/curso-entorno-avanzado-ds
Ricardod671/cookiecutter-personal
Ricardod671/pandas_exercises
Practice your pandas skills!
Ricardod671/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Ricardod671/practical-statistics-for-data-scientists
Code repository for O'Reilly book
Ricardod671/Hands-on-Exploratory-Data-Analysis-with-Python
Hands-on Exploratory Data Analysis with Python, published by Packt
Ricardod671/covid_analysis
Ricardod671/proyectos-ciencia-datos
Repositorio del proyecto del Curso para Crear tus Proyectos de Ciencia de Datos
Ricardod671/deep-learning-platzi
Materiales del curso de Deep Learning con Pytorch de Platzi
Ricardod671/Pressure-BuildUp-test-Analsis
PBU test data taken from Tarek Ahmed
Ricardod671/RNA-VGG16
Procesamiento de cartas dinamométricas con red neuronal convolucional VGG16
Ricardod671/Machine-Learning-TSF-Petroleum-Production
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 availability of extensive amounts of historical data along with the need of performing accurate production forecasting, particularly a powerful forecasting technique infers the stochastic dependency between past and future values is highly needed. In this research, we applied machine learning approach capable to address the limitations of traditional forecasting approaches and show accurate predictions and showed comparison of different machine learning models. For evaluation purpose, a case study from the petroleum industry domain is carried out using the production data of an actual gas field of Bangladesh. Toward a fair evaluation, the performance of the models were evaluated by measuring the goodness of fit through the coefficient of determination (R2 ) and Root Mean Square Error (RMSE), Mean Squared Error (MSE) , Mean Absolute Error(MAE) and model Accuracy
Ricardod671/datasets-platzi-course
Datos para los distintos notebooks del curso de platzi
Ricardod671/machine-learning-platzi
Notebooks del curso de machine learning aplicado con python de platzi