Data & Analytics
This research focuses on combining physics-based expert rules with machine learning to improve the detection of failure-related events in electrical submersible pumps.
A combination of physics principles and machine-learning techniques is used in this work to develop a virtual flowmeter for oil-production optimization in electrical-submersible-pump-lifted oil wells, resulting in reliable generalization.
This paper presents the deployment of an artificial intelligence-enabled autonomous gas lift optimization system, integrating real-time centralized advanced process control with cloud-based analytics to enhance artificial gas lift performance in producer wells.
-
Real-time wellhead monitoring aims to help Romania meet new EU methane emission regulations. -
The supermajor’s Energy Outlook 2025 suggests geopolitical fragmentation could tilt the balance of the energy trilemma toward energy security and away from sustainability.
-
The companies said they plan to start deploying digital twin technologies in Oman this year.
-
The paper describes the deployment of fiber-optic monitoring of CO₂ injection and containment in a carbonate saline aquifer onshore Abu Dhabi.
-
This paper presents a novel workflow with multiobjective optimization techniques to assess the integration of pressure-management methodologies for permanent geological carbon dioxide storage in saline aquifers.
-
This paper reviews the motivation and development of response-based forecasting from the perspective of the authors, reviewing examples and processes that have served as validation and led to modeling refinement.
-
This paper introduces a technology for offshore pipeline inspection centered on an autonomous robotic system equipped with underwater computer vision and edge-computing capabilities.
-
Intelligent completions could improve many of the world’s oil and gas wells, but not all are suited to the technology. There is another option.
-
Oil and gas experts encourage human/AI partnerships that can “supercharge” capabilities to create competitive advantages.
-
Deploying artificial intelligence across an enterprise requires thinking beyond the pilot.
![JPT_2025-09_GuestEd1_SS_382853197[4].jpg](https://assets.spe.org/dims4/default/860913d/2147483647/strip/true/crop/850x475+0+46/resize/365x204!/quality/90/?url=http%3A%2F%2Fspe-brightspot.s3.us-east-2.amazonaws.com%2F8a%2F95%2Fe4e82cb54fd597d497a5b1267f8a%2Fjpt-2025-09-guested1-ss-3828531974.jpg)
