pressure monitoring

This paper presents a robust workflow to identify optimization opportunities in gas lift wells through real-time data analysis and a surveillance-by-exception methodology.

This paper introduces an agentic artificial-intelligence framework designed for offshore production surveillance and intervention.

The objective of this study is to field test a non-nuclear multiphase flowmeter and assess its performance under challenging operating conditions.

This work demonstrates that a carefully engineered wireline perforation strategy can address the challenges of long-interval high-pressure/high-temperature completions with large intrareservoir-pressure differentials safely and effectively.

This paper presents an automated workflow deployed for scheduling and validating steady-state production-well tests across more than 2,300 wells in the Permian Basin.

This paper offers an exploration into the field applications of multiphase flowmeters (MPFMs) across global contexts and the lessons learned from implementation in a smart oil field that uses several types of MPFM.

This paper presents a novel application of artificial intelligence in computer vision for automating blowout-preventer pressure-chart-data extraction, demonstrating significant efficiency gains and a high return on investment.

This paper presents a closed-loop iterative well-by-well gas lift optimization workflow deployed to more than 1,300 operator wells in the Permian Basin.

The current free collections presented by the online library examine artificial lift and various aspects of reservoir evaluation.

The use of real-time wireless downhole pressure gauges proved a valuable alternative to workover operations in two onshore fields in Iraq.