Subject ▸ machine learning

The most used Machine Learning algorithms in Petroleum Engineering

28 March 2018

Continuing with the article on machine learning (ML), from the papers extracted in OnePetro, I have been able to detect the use of these ML algorithms: Neural Network Genetic Algorithm Support Vector Machine Principal Component Analysis Linear Regression Fuzzy Logic Hierarchical K-Means Singular Value Decomposition Decision Tree Support Vector Regression Deep Learning Logistic Regression Boosting

A Machine Learning paper research on Petroleum Engineering

25 March 2018

machine learning, paper research

So happy to find that OnePetro has improved its search algorithms. Now, lowercase, uppercase and dashed keywords return the same results. This wasn’t the case few months ago. You can see the results below. This is a search of papers using R, #rstats, and the package petro.One. You could see that “neural network”, “neural-network, and”NEURAL NETWORK“, return the same number of papers: 3197. The same with”data driven" and “data-driven”.

Neural Networks for Petroleum Engineering

25 September 2017

machine learning, paper research

Neural Networks papers in OnePetro It is incredible the number of papers on Neural Networks contributed by the petroleum engineering community: an astonishing total of 2,918 papers that mention the keyword “neural networks” . And that’s only Conference Papers. From all these papers, 534 have “neural networks” in their title and they go back as far in time as 1975 (one paper), and start with force by the end of the 80’s (7 papers).

Data Science for Petroleum Engineering: How does someone become good at Deep Learning?

23 September 2017

machine learning, data science

I watched few days ago the interview from professor Andrew Ng to one of the luminaries of deep learning and artificial intelligence, Dr. Youshua Bengio. He has written books and dozens of papers on deep learning and neural networks. I liked the style. Pretty down to earth stuff. Just the way professor Andrew likes to do: bringing machine learning, deep learning to the masses. So the question remains: do petroleum engineers need to learn data science, computer science, statistics, machine learning, neural networks, virtualization and GPU based engineering?

All Blog posts by date