AI/machine learning
As carbon capture scales up worldwide, the real challenge lies deep underground—where smart reservoir management determines whether CO₂ stays put for good.
This article is the third in a Q&A series from the SPE Research and Development Technical Section focusing on emerging energy technologies. In this piece, Zikri Bayraktar, a senior machine learning engineer with SLB’s Software Technology and Innovation Center, discusses the expanding use of artificial intelligence in the upstream sector.
This article presents a results-driven case study from an ongoing collaboration between a midstream oil and gas company and Neuralix Inc.
-
The authors present a review of the capabilities of fog computing and its potential in the petroleum industry. -
The machine-learning techniques applied aim to deliver a prediction model based on both simulation and real-time field data. The model tracks and monitors system key performance indicators.
-
SponsoredAI can improve your compliance efforts, saving you time and money. Learn how.
-
The authors present an artificial-intelligence and machine-learning technology to obtain a high-level, comprehensive view of all equipment in a facility to detect and map corrosion.
-
This paper provides an alternative solution to identifying, classifying, and vertically distributing fractures and a lateral distribution method for reservoir modeling.
-
The paper demonstrates the ability of deep-learning generative models to enable new shale-characterization methods.
-
This paper describes a method to determine rig state from camera footage using machine-learning-based vision-analytics approaches.
-
This paper describes the current challenges faced by energy companies, the implications of observable industry trends, the characteristics that potential cybersecurity solutions must meet, and how artificial intelligence (AI) and machine learning (ML) can meet these requirements.
-
The machine-learning techniques applied in this study aim to deliver a fouling-prediction model based on both simulation and real-time field data.
-
The register aims to help the maritime industry embrace technology advances in artificial intelligence.
