Testing page for app

As companies begin examining facilities in the wake of Hurricane Harvey, commercial drones have become a valuable asset in reaching flooded areas too dangerous for people to reach.

Air Products, BHGE, Norsafe, and Sofec won contracts for Eni’s Coral South FLNG project in Mozambique.

The composite upstream economic index for Texas increased for the eighth consecutive month due to a number of factors, including increased rig count, drilling permits, and upstream employment figures.

This paper presents an integrated approach to evaluate the key elements of asphaltene risk for deepwater projects, the strategy to manage the issues during production implementation, and aspects to be considered in the mitigation of asphaltene in the field-development plan.

The sheer complexity of the asphaltene molecule is now within our grasp as the digital age creeps up on our industry. Having the analytics to decipher and measure asphaltene structures gives us a chance to accelerate our understanding.

This paper presents a method that quantitatively evaluates the risk levels of a drilling-operation plan as a function of the underlying uncertainty associated with its description.

Asphaltene precipitation and deposition in production tubing and surface facilities are well-documented issues, and different methods are available to manage them.

This paper presents a methodology that begins by determining the ADE in the laboratory. Moreover, asphaltene-deposition rates for the tubing conditions can be measured using high-pressure/high-temperature coaxial-cylinder technology.

One person who has given a lot of thought to what the oil and gas industry might look like when it can no longer count on a growing consumption from the transport sector is Iskander Diyashev, an instructor for PetroSkills and a former SPE Director who is serving as an SPE Distinguished Lecturer in 2017–18 for the second time. His current lecture topic is The Future of…

Southwest Research Institute is working to improve the accuracy of pipeline leak detection using sensors, artificial intelligence, and deep learning.