Digital Transformation
The company is investing $1 billion to establish the Engineering and Innovation Excellence Center (ENGINE) in Bengaluru, India.
Subsurface modeling and history matching are critical steps for driving decisions. Generative artificial intelligence can support these efforts by incorporating various sources of information and allowing for low-dimensional parameterization for history matching.
Join TWA Editorial Board member Mani Bansal as he interviews Ashish Fatnani, an industry professional with 12 years of experience working for companies including Halliburton, ONGC, and Mercedes Benz.
-
R&D may be the key to the survival of companies as the new economics of the industry take hold. -
One tech company is using a unique approach to building custom apps for the oil and gas business.
-
MIT News Office, 7 September. IBM and Massachusetts Institute of Technology (MIT) recently announced that IBM plans to make a 10-year, $240 million investment to create the MIT-IBM Artificial Intelligence (AI) Lab in partnership with MIT.
-
No longer considered a buzz phrase, cloud computing has made converts of the largest oil companies, and now the smaller ones are next.
-
The BP Statistical Review of World Energy is an institution in the energy world. Who's behind assembling and managing the mountain of data that goes into it?
-
A quick look at the term "Fourth Industrial Revolution" and links to related articles.
-
Data-driven reservoir modeling is an alternative or a complement to numerical simulation and uses machine learning and data mining to develop full-field reservoir models.
-
AUVs aren’t limited to inspections and pipeline surveys. Deployment of a flotilla of AUVs to work on a project, and the communication among them, may someday lead to a subsea Internet of Things.
-
Technology that allows researchers to see stress forming inside rock samples may help unravel some of the mysteries associated with fracture behavior.
-
Always recorded but almost never used, the water hammer signal could offer completions engineers another set of insightful data if petroleum engineers can crack its code.
