Power the future of oil and gas operations

Digital transformation can enable near real-time monitoring, predictive analytics and automated processes. These capabilities can help oil and gas companies pursue operational efficiency, cost management, safety and carbon management objectives through advanced control systems and data-driven decision-making.

Companies can support carbon-management objectives through continuous emissions monitoring, energy efficiency improvements and carbon-capture technologies. Implementing emission management systems can help support regulatory compliance efforts and data-driven decision-making.

Predictive maintenance uses near real-time data and analytics to help identify potential equipment issues before failures occur, supporting plant uptime, asset-life management, unplanned downtime reductions and safety and environmental performance objectives.

Feedstock can be made from many raw materials, including waste, that can be turned into renewable diesel and other sustainable fuels. Honeywell offers solutions designed to support processing across a range of feedstocks to meet the rapidly growing demand for renewable fuels, including SAF.

Emissions management solutions can help the oil and gas companies track emissions data in near real-time, identify and address potential issues and support regulatory compliance efforts. These technologies also provide access to analytics and reporting capabilities that can help customers make data-driven decisions to manage emissions, support performance objectives and pursue environmental goals.

Advancements in process technology can help support oil and gas product yields by improving refining process efficiency while addressing feedstock availability and shifting demand. They can also help support the value of gas streams with contaminant removal, natural gas liquid recovery and liquefaction technologies.

Process digital twins play an important role in the oil and gas industry, with capabilities that enable improvements for companies across a variety of sectors. Digital twins give operators visibility into how a process is functioning. Digital twins can help operators monitor performance and make near real-time adjustments that support efficiency, cost-management and quality objectives.