DSDE: Emerging Technology

Declining costs to launch monitoring satellites, as well as artificial intelligence, which makes parsing terabytes of emissions data feasible, have given the oil and gas industry an emerging tool for environmental stewardship.

This paper focuses on the application of blockchain technology and the use of distributed ledgers on process safety and integrity management.

Initial forays into using digital twins across its major fields has inspired the multinational hydrocarbon exploration and production company to further adopt the technology across its entire portfolio.

The authors of this paper describe a procedure that enables fast reconstruction of the entire production data set with multiple missing sections in different variables.

This paper presents a physics-assisted deep-learning model to facilitate transfer learning in unconventional reservoirs by integrating the complementary strengths of physics-based and data-driven predictive models.

The promise of DataOps, the application of agile DevOps methods and tools to data engineering, is compelling even though the term has progressed through the hype cycle for years and, for many, little impact has been achieved. The potential remains strong, though. If impact is elusive, there are likely two main causes.

This paper examines how connected technology can help streamline safety processes and improve worksite efficiency.

The technology now in development at UH consists of remotely operated vehicles equipped with multiple sensors, video cameras, and scanning sonars that can swim along a subsea pipeline to inspect flange bolts.

Health, safety, and environment operations can be greatly enhanced by using artificial intelligence (AI) techniques on HSE data. One important aspect inherent in this process is the need to establish trust in the AI system among the users.

A Houston startup that is developing a technology to detect methane leaks has moved on to Phase 2 of Chevron's business accelerator.