Smart Well Testing Equipment: Product Innovations in Ai-Driven and Automated Testing Tools

Authors

  • Adeleye Mesogboriwon 5000 Forbes Ave, Pittsburgh, PA.

Keywords:

Automated well testing, smart well testing, wellhead sensors, reservoir performance optimization

Abstract

The oil and gas industry are incorporating AI and automation in healthy, well-testing equipment since it assures increased efficiency, safety, and accurate measurements. These developments have culminated in the enactment of absolutely computerized systems whereby human interface with high-risk conditions is minimized. These systems encompass real-time data analysis and machine learning algorithms to fine-tune testing parameters for accurate reservoir descriptions. The system also enhances decision-making processes. Others include automatic well control modules and enhanced separators that control fluids’ motion for improved measurement and minimized emissions. AI is not just limited to automation but also offers characteristics such as the ability to predict the health of the equipment and the possible failures in its performance, thereby significantly reducing downtime. The combination of AI with sophisticated sensors provides substantial data acquisition that assists operators in decision-making as regards well location and manufacturing tactics. These innovations help optimize economic gains, but they also achieve the environmental purpose of eliminating the carbon emissions that the usual testing methods create.

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Published

26-09-2024

How to Cite

Mesogboriwon, A. (2024). Smart Well Testing Equipment: Product Innovations in Ai-Driven and Automated Testing Tools. Well Testing Journal, 33(S2), 72–95. Retrieved from https://welltestingjournal.com/index.php/WT/article/view/96

Issue

Section

Research Articles