Digital Transformation
Discover how AI and machine learning are transforming oil and gas field development by reducing subsurface uncertainty, optimizing development decisions, and maximizing long-term reservoir value from concept selection through production.
As upstream operators move beyond isolated experiments, the hardest part of the AI journey is not building a model, it is making it stick.
How 7 decades of AI research, including the emergence of agentic AI, are reshaping oil, gas, renewables, and the grid.
-
Saipem is taking the lead in advancing the capabilities of FlatFish, an autonomous underwater vehicle being developed by Shell for commercial application by 2020. -
Drones will be just one of the tools that the service company uses in its drive toward net-zero carbon emissions.
-
This article gives a succinct overview of artificial intelligence, its emerging opportunities, prospects, and challenges, and concludes with recommendations to accelerate the admission of AI into workflows.
-
While a résumé matters for getting a data science job, having a portfolio of public evidence of your data science skills can do wonders for your job prospects.
-
SPE Online Education recently added a new web-based resource for technical content–Industry Interviews. These are 30-minute audio interviews with experts about their personal and professional experiences in the oil and gas industry. Recorded live, the interviews are archived and available on demand for free for SPE members.
-
The term digital oil field has become a buzzword in the oil and gas industry these days, with the mention of it bringing up pictures of computers, flashy screens, and programming to mind. In reality, the concept goes beyond these.
-
Two new centers in Bergen, Norway will lean on emerging digital technology to oversee much of the Norwegian operator’s offshore operations.
-
Digitalization is going to impact every industry in the next 5–10 years. The oil and gas industry needs a lot more data scientists today than a year ago, so a person with the right qualifications and experience is the need of the industry today.
-
This article highlights interesting applications of machine learning in the oil and gas industry in drilling, formation evaluation, and reservoir engineering. Each project uses a data-driven model to solve a previously complex problem using machine learning to augment an existing solution.
-
The AI revolution in the market for consumer goods by companies like Amazon and Alibaba led to significant changes in the market dynamics. Similar impacts can be expected in the midstream industry as the AI revolution unfolds there.
