Search results for:

Seven members of the International Association of Oil and Gas Producers—Chevron, Eni, Equinor, ExxonMobil, Hess, Shell, and Total—have launched a new joint industry project on Environmental Genomics.

The target will align the company with the goals of the Paris Agreement to mitigate climate change.

This case study discusses the methodology that underlies the successful determination of the depths and the radial locations in the outer casing strings of multiple leaks in an offshore well.

Fiber-optic technologies—distributed temperature sensing and distributed acoustic sensing—have been experiencing an ever-increasing number of applications in the oil and gas industry as monitoring systems.

This paper focuses on the preparation for, and implementation of, well-control training, while highlighting the integration of people skills into curricula and what advantages operators and drilling contractors have obtained.

This paper describes the mobilization of a snubbing unit and blowout preventer (BOP) stack in the Middle East that enabled a well with an underground blowout and surface broaching to be brought under control within a short time.

Welcome to the debut of the Digital Data Acquisition feature. The new feature comes from the desire of readers and reviewers to broaden the scope of JPT’s coverage of developments related to digital transformation and the applications that the industry can derive from these exciting possibilities.

The startup of the deepwater field marks the beginning of production from the massive Stabroek Block, which contains an estimated 6 billion BOE. ExxonMobil estimates that at least 5 FPSOs will be producing more than 750,000 BOPD from the Stabroek Block by 2025.

This paper describes the development and field trials of a cloud-connected, wireless intelligent completion system that enables long-term monitoring and interval control to enhance production management by connecting the user wirelessly from the desktop to downhole inflow-control valves.

This paper details how artificial intelligence was used to capture analog field-gauge data with a dramatic reduction of cost and an increase in reliability.