Production
Conflict‑driven price gains may be offset by higher costs, supply‑chain risks, and a limited appetite for new drilling activity.
This paper describes an approach to creating a digital, interconnected workspace that aligns sensor data with operational context to place the completions engineer back into a central role.
This paper demonstrates how the integration of multiphysics downhole imaging with machine-learning techniques provides a significant advance in perforation-erosion analysis.
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Drone strikes, refinery shutdowns, tanker disruptions, and halted LNG production have heightened concerns about broader supply risks. -
The Middle East’s largest unconventional gas development officially begins production as Saudi Aramco targets 6 million BOE/D of gas and liquids capacity by 2030.
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The tools to reduce flaring are well within reach, but the results will depend on a long-term commitment by operators and governments.
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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.
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This paper introduces an agentic artificial-intelligence framework designed for offshore production surveillance and intervention.
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The objective of this study is to field test a non-nuclear multiphase flowmeter and assess its performance under challenging operating conditions.
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High-pressure/high-temperature (HP/HT) assets are returning to development plans as operators pursue deep gas and condensate while balancing operational efficiency of the projects with the risk. The recent paper submissions suggest a shift from single-component qualification to more-integrated, cross-functional operating systems for the high temperature and pressure r…
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This paper provides an account of the design, implementation, and operational insights from an enhanced geothermal system proppant stimulation targeting a volcanic, dry rock setting with an approximately 330°C bottomhole temperature.
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Addressing the challenge of developing a mature basin with a data-driven approach to spacing and inventory decisions.
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Because of the influx of large data from production-monitoring systems, operators are getting creative in dealing with the vast amounts of data. In the process, they learn the state of their operations by extracting knowledge and taking advantage of the useful, newfound information to divulge new insights.
