This document discusses using deep learning techniques like convolutional neural networks, recurrent neural networks, and deep neural networks in the oil and gas industry. It outlines how these techniques can be applied to tasks like equipment failure prediction using classification models, future price prediction using regression and recurrent neural network models, and fault detection using convolutional neural networks for pattern recognition and segmentation. The document also provides an overview of how machine learning maps to different parts of the oil and gas industry including upstream, midstream and downstream operations.