DSDE: Features

In this exclusive Q&A, Giovanni Cristofoli, senior vice president of bp Solutions, shares insights into how his team is redefining operational strategies and fostering agility to bridge competitive gaps and enhance efficiency. Highlights include the integration of digital tools, data science, and a unified approach to tackling complex problems.

Each year during its Annual Technical Conference and Exhibition (ATCE), SPE honors members whose outstanding contributions to SPE and the petroleum industry merit special distinction. Recipients will be recognized at the Annual Awards Banquet on Tuesday, 24 September.

Surveillance technologies have undergone a revolution, reshaping how facilities, wells, and reservoirs are monitored. These advancements not only have increased the scale at which these technologies are deployed but also have led to an unprecedented influx of data. The sheer volume of data, however, poses a significant challenge to traditional analytical methods.

You’ve heard of generative artificial intelligence, and odds are you’ve used it. But do you know how it works?

Since the late 1930s, the offshore industry has advanced from the first platform in 14 ft of water to the ultradeepwater 20K era. Driven by seismic, drilling, and development breakthroughs, the industry has pushed into deeper waters, high-pressure reservoirs, and new frontiers like Guyana, continually expanding the limits of offshore exploration.

In this inaugural episode of his vodcast and column, 2025 SPE President Olivier Houzé shares his insights on the challenges facing our Society and its members, as well as his vision for his presidency.

Collaboration agreement lays foundation for advancing tech and know-how for harsh environment operations.

A Houston-based geothermal startup just got "liked" by the parent company of Facebook.

The industry is balancing brains and bots as it squeezes out barrels of oil production.

Energy efficiency is crucial for the oil and gas industry, where operational costs and environmental impact are under constant scrutiny. Predicting and managing electrical consumption and peak demand accurately, especially with the variability of weather conditions, is a significant challenge. This work presents a neural network model trained on historical weather and…