Testing page for app

Saudi Aramco, BP, and Schlumberger pride themselves on staying at the forefront of digital technology development and deployment. But an equally daunting challenge for the industry heavyweights is keeping their ever-expanding digital systems secure.

The artificial-intelligence application BHC3 Reliability provides early warning of production downtime and process risk to improve operational productivity, efficiency, and safety.

Just like Houston’s summer heat, corrosion of metal surfaces will occur—whether you like it or not. To help you better understand corrosion, these papers describe using water surveys in a production/injection plant, testing the effectiveness of mitigation, and data evaluation using machine learning.

The project aims to contribute an estimated ultimate recovery of more than 175 MMboe from one of the company’s signature deepwater projects in the US Gulf of Mexico.

Technology startups are breathing new life into an old industry with advanced software and emerging chemistry solutions. Learn about some of the names earning the most attention from the industry's venture capital groups.

To facilitate testing and comparison of products that attenuate microbially influenced corrosion under field conditions, a method using microorganisms from a low-tide, anoxic North Sea sample was developed that allows corrosion measurements to be made for corroding biofilms grown on steel surfaces.

Internal corrosion has caused ADNOC to suffer loss of containment in oil flowlines in a giant onshore field. This paper describes the successful 5-year field trial program and confirmation that HDPE liner application in carbon steel pipe can be a cost-efficient way to mitigate internal corrosion.

As the operator seeks to raise $15 billion from asset sales through 2021, it sees a viable opportunity in its Gippsland Basin upstream portfolio, which could fetch up to $3 billion in a sale. Wood Mackenzie anticipates strong interest, but the age of the field may prove problematic.

Using machine learning (ML), image recognition, and object detection, the use of ML on algorithms to recognize objects and describe their condition were investigated—offering new possibilities for performing inspection and data gathering to evaluate the technical condition of oil and gas assets.

The recent jump in oil price could create additional momentum for margins in the service sector. With shale euphoria wearing off, service company margins are still showing some resiliance. If the price hike persists into 4Q 2019, increased activity could improve pricing further.