Data & Analytics
Autonomous drilling through managed pressure drilling (MPD) at the Atlantis field has given the operator confidence to scale the method.
The cloud platform provider said the initiative is designed to help energy companies manage and analyze large-scale operational data.
Major increases in hydrocarbon production require both incremental and revolutionary technologies, industry leaders said during the SPE Hydraulic Fracturing Technology Conference.
-
It appears to be possible to sense how fractures change during production using ultrasensitive fiber-optic strain measurements. -
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 third installment of the Digital Data Acquisition Technology Focus will focus on computer vision for improved data acquisition. Computer vision is defined as a field of study that seeks to develop techniques to help computers “see” and understand the content of digital images such as photographs and videos.
-
SponsoredEach well drilled, stimulated, and completed represents a significant investment in time, resources, and expenses. From artificial lift system design to maintenance scheduling, maximize your investment by ensuring optimal flow and production throughout the life cycle.
-
Integrating physics and machine learning combines the best of the two worlds, resulting in higher accuracy, better scalability, and cost efficiency.
-
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.
-
Totally automated drilling today looks like a robot doing all the heavy lifting on a drilling floor. By 2025, there may no longer be anything surprising about it.
-
The machine-learning techniques applied in this study aim to deliver a fouling-prediction model based on both simulation and real-time field data.
