White Papers
Unlocking the Potential of Generative AI for Asset Performance Management
Going beyond traditional system capabilities to generate immediate actionable insights, generative AI is helping operators improve asset reliability by reducing maintenance costs up to 50%, optimizing performance with improved efficiency as much as 15% and extending asset life between 20-40%, according to data from Shoreline AI. Applying virtual ‘experts’ in the cloud to support a gas compression operator in managing integrity data for more than 100 remote assets demonstrates how this solution enables uninterrupted visibility and control for safer, more reliable operations.
Managing Carbon Capture and Storage (CCS) Risk
Controlling risk is a key element of any carbon capture and storage (CCS) project. In this white paper, learn how to leverage proactive risk management and mitigation to drive your project success.
Reinventing Asset Performance Management with Generative AI
This white paper examines how E&U companies are leveraging generative AI solutions to drive significant improvements in asset management practices, maintenance efficiency, equipment reliability and operational excellence. A selection of field implementations from more than 2,000 projects applying generative AI demonstrate how intelligent solutions can help companies achieve up to 25% improvement in workforce productivity and between 15-20% reduction in asset downtime.
Orchestrating The Connected Experience: Accelerating Value for Energy & Utilities with Generative AI
Customized to orchestrate a better, more personalized and connected experience, Genesys’ generative AI solutions help teams find new pathways to resolve some of the industry’s most pressing operational challenges.
Gen AI Accelerates Accurate Reservoir Simulation
New technologies and advanced hardware and software solutions are changing the way the industry works, with AI and ML rapidly accelerating workflow improvements and enhancing results. Integrating disruptive technology and advanced computing on the Amazon Web Services (AWS) platform makes it possible to manage vast datasets and leverage parallel computing to expedite analysis for processes like reservoir simulation that can lead to shorter time to first production and enhance hydrocarbon recovery.
Generative AI Changes the Horizon for Seismic Data Analysis
Horizon detection is a crucial, and time-consuming step in the seismic exploration process. Today, highly qualified geologists invest hundreds of hours poring over data before they can begin the complicated task of interpretation, when they identify the best areas to drill. The growing complexity of developed fields calls for more optimized methods for horizon detection—one that produces reliable results in less time. Applying the power of generative AI enhances the user’s interaction with the interpretation software, streamlining the process so geoscientists can move expediently to the specialized work of interpretation.
Dirty Little Secrets: Commodity Ties Create an Abundance of Opportunities
Explore the interconnected dynamics of Natural Gas, Crude Oil, and NGLs, and gain actionable strategies to profit in today’s volatile energy markets.
How do you create a best-in-class workforce in today’s ever changing energy industry?
Companies across the energy supply chain – from well-known oilfield services providers to new entrants bringing alternative energy solutions to the market – turn to Zayla’s ECI Energy Compensation Surveys for rich data and insights on industry practices related to salaries, annual incentives, long-term incentives, benefits and more to ensure their compensation programs are finetuned to deliver the future of energy.
Carbon Sequestration Well Drilling
Sequestration wells drilled for carbon capture and storage (CCS) are much more than just another hole in the ground. In this white paper, learn how to manage risks, navigate technical challenges and meet regulatory requirements while drilling CO2 injection wells.
Driving Operational Excellence in Rod Lift Optimization with AI-Powered Dynacard Classification
Large scale deployments demonstrate that AI-powered anomaly detection is a must to improve oil production, equipment reliability, and maintenance cycle time.