leak detection

New case studies from this year's Offshore Europe were a reminder of how sustaining subsea reservoirs as they age often calls for determined and innovative engineers.

Leak detection and repair (LDAR) is essential in every upstream asset. This paper presents best practices and case studies about how LDAR can help to minimize methane emissions.

The authors write that even simple deep-learning architectures can identify a leak using pressure data.

A new study confirms the success of a natural-gas leak-detection tool pioneered by Los Alamos National Laboratory scientists that uses sensors and machine learning to locate leak points at oil and gas fields, promising new automatic, affordable sampling across a vast natural gas infrastructure.

Natron Energy aims to scale up domestic manufacturing of sodium-ion batteries , and Bridger Photonics will target the operational efficiency for leak detection and emissions tracking.

A volatile market, and a shift to more remote operations during the global pandemic has been a catalyst for demand for mIQroTech’s leak-detection technology

A system proposed by researchers at the University of California, Santa Barbara, uses hyperspectral imaging and machine learning to detect the specific wavelength of methane emissions.

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 optics are considered one of the more promising direct leak-detection technologies. The fiber core normally used for telecommunication can be converted as a sensor using the principle of light backscattering within the fiber.

A new report from the Environmental Defense Fund and the Environmental Council of the States Shale Caucus recommends a new framework for approving technologies and methodologies.