pigging

This paper explains that the discovery of specific pressure trends, combined with an unconventional approach for analyzing gas compositional data, enables the detection and prediction of paraffin deposition at pad level and in the gathering system.

Machine learning and a decade of gas composition records helped the operator identify wells that were most likely to produce paraffins.

The authors of this paper discuss a robust omniphobic surface treatment material shown to significantly reduce the adhesion of flow-assurance solids.

New Pig-Launcher System Aims To Reduce Development Costs

Natural-gas-infrastructure reliability is critical for the energy sector. When capitalizing on old pipelines to transport natural gas, operators run the risk of partial blockage. In this study, the authors develop a multirate test method to detect partial blockage in a gas pipeline.

This paper presents the results of tests conducted to design a fast-breaking gelled fluid for a debris-removal operation in a long, large-diameter subsea pipeline in the Asia Pacific region. where traditional pigging was not an option.