Testing page for app

Ganesh Thakur, 2012 SPE President, was elected to the National Academy of Engineering. Thakur is president of Thakur Services. He was elected for his leadership in the implementation of integrated reservoir management techniques. His work is well-recognized in the emergence of reservoir management as an interdisciplinary practice. He is widely published and has served…

Behrooz Fattahi, 2010 SPE President and 2014 American Institute of Mining, Metallurgical, and Petroleum Engineers (AIME) President, was honored with the Orange County Engineering Council President’s Award. He is the president of EnerTrain Institute, which provides heavy oil recovery training and consulting. He has more than 37 years of experience in the industry and m…

The Shearwater field is a deep, high-pressure/high-temperature (HP/HT) reservoir located in the UK Central Graben of the North Sea.

Moving to higher-capacity wellhead systems for high-pressure and high-temperature (HP/HT) environments will require a larger mandrel and conductor-casing size.

This paper identifies current development paradigms and discusses the future challenges in well planning, product development, and regulation.

The engineering, design, qualification, and implementation of drilling, completion, production, and intervention equipment for high-pressure/high-temperature (HP/HT) developments present significant challenges.

Some think oil and gas have little role in a sustainable ­future; global realities suggest otherwise. How is it that a finite energy resource and a source of greenhouse gas emissions can be part of a sustainable future?

The recent IHS CERAWeek conference in Houston brought ­together high-level executives. Over 5 days of discussions and panel sessions, several key themes emerged about the current state of the global oil and gas industry.

In this paper, the authors introduce a novel semianalytic approach to compute the sensitivity of the bottomhole pressure (BHP) data with respect to gridblock properties.

This paper critically investigates the impact of using realistic, inaccurate simulation models. In particular, it demonstrates the risk of underestimating uncertainty when conditioning real-life models to large numbers of field data.