machine learning

Data-driven methods offer significant advantages in the industry, under certain conditions, over conventional methods. But reservations still exist about their use. The paper serves to bridge the gap between unclear understanding of these methods and their successful acceptance and implementation.

BHGE is developing an analytics and machine-learning approach that offers descriptive and predictive insights on frac hits, with the aim of eventually offering a real-time monitoring capability to be deployed during frac jobs.  

The SPE Liquids-Rich Basin Conference in Midland, Texas, merged topics that have dominated recent industry discussions: technologies centered on big data, interwell communication, and Permian Basin production.

Machine learning and artificial intelligence technology offer offshore operators the chance to automate high-cost, error-prone tasks to avoid the effects of inconsistency and errors in analysis, improving efficiencies and safety.

The pressure pumping giant turns to algorithms to get better fractures and fewer problems.

A recent research effort has shown that the digital journey is full of stumbling blocks. Just like humans, advanced computing technology will get some things right and some things wrong.

Southwest Research Institute has developed a leak detection system to autonomously monitor pipelines for hazardous chemical spills. R&D Magazine recently recognized the system as one of the 100 most significant innovations of 2017.

Anadarko’s CEO and a company board member who heads a venture-backed software developer for artificial intelligence (AI) discuss the key role that AI will play in the oil and gas industry’s future.

Halliburton and Microsoft believe that by working together they can step up the pace of digital transformation across the E&P industry.

Southwest Research Institute is working to improve the accuracy of pipeline leak detection using sensors, artificial intelligence, and deep learning.