DSDE: Emerging Technology

The US has had a lackluster response to the emergence of the technology, currently lacking any comprehensive roadmap for adoption, which translates into a low adoption rate.

Case studies provide evidence of achievements in corporate sustainability while pursuing the adopted United Nations Sustainable Development Goals, thus highlighting the possibilities made available by digital twin technology.

When it comes to new projects, the technology helps companies try virtually before they buy in to the venture or commission the undertaking, as well as address any design changes or flaws.

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.