An Enterprise Machine Learning Solution for Solving Any Universal Oil & Gas Problem
AI, machine learning and advanced predictive analysis have become the new standard for many 21st century industries. From online advertising to social media, from online shopping to fraud detection, from maintenance prediction to smart manufacturing, machine learning has been proven as an effective tool to automatically extract knowledge from data, improve service accuracy, reduce cost, and increase work efficiency.
The goal of machine learning is to unveil trends, patterns and correlations from multidimensional data. However, it remains a challenging task to develop and deploy machine learning models effectively within organizations. In fact, it is not uncommon to spend several months and even years to implement machine learning and deploy it in the production environment, even for an integrated team involving domain experts, data engineers, data/machine learning scientists, computer scientists, and IT.
Powered by QRI’s enterprise-grade automatic machine learning algorithm, SpeedWise® ML (SML) is a web-based software platform allowing anyone in any size oil and gas company to conduct cutting-edge machine learning practices and predictive analysis. SpeedWise® ML evaluates historical field development data, uncovers key metrics that determine the well performance, and applies robust predictive models to identify actionable future opportunities that maximizes the NPV of the field and minimizes potential risks. Through the platform, everyone, with or without a deep understanding of machine learning, will be able to deliver high-quality production-level models through a few mouse clicks within minutes, without typing a single line of code.
By simply uploading an input data table (e.g., a .csv file), start triggering thousands of machine learning models. State-of-the-art learning practices are implemented to conduct unbiased data analytics with unique model explanation and uncertain quantification capabilities. This technology has been utilized successfully in planning or improving performance of several giant unconventional oil or gas fields in North America and Latin America.