Use of NPL techniques with Oil and Gas Drilling Data
NLP techniques to allow #unstructured #drilling data to be searched, organized, and mined, allowing petroleum engineers to leverage the underlying #insights
Category: Machine Learning
Linear, Machine Learning and Probabilistic Approaches for Time Series Analysis
Different approaches for time series modeling. The forecasting approaches using linear models, ARIMA alpgorithm, XGBoost machine learning algorithm are described. Results of different model combinations are shown. For probabilistic …
More digitization by 2020 in E&P – Investing into data analytics, machine learning, and artificial intelligence
How Apache had used machine learning to possibly replace manual production forecasting for unconventional wells in a pilot involving both the Bakken formation and Permian Basin. Also, Norwegian producer …
A Journey of Learning TensorFlow
Today, I started reading TensorFlow (TF) and also decided to make notes and capture observations during this process. I have done programming for several years and did scripting in …
TensorFlow for Non-Experts
https://www.youtube.com/watch?v=5DknTFbcGVM TensorFlow is Google’s machine learning framework. In this talk, you will learn how to use TensorFlow effectively. TensorFlow offers high level interfaces like Keras and Estimators, which can …