Simplifying Real-time and Historical(EFM) Data Collection for the Oil Gas Industry 3240

摘要

An Industrial Control System(ICS) is comprised of many disparate components,including hardware and software technologies,system infrastructure-from the communications network to the physical plant infrastructure-,the human element for tasks that require manual intervention,and the environment.To realize operational excellence,organizations must monitor and manage all aspects of the control system,turning data into usable business intelligence.To accomplish this,all the components that make up the control system must seamlessly intemperate with one another as if provided by a single vendor.The system must be both reliable and able to withstand the elements that can impact operation.And it must be extensible over time with the ability to scale and meet the needs of tomorrow.Lastly,the proper amount of security and safety must be built into the system to prevent costly downtime and damage,while safeguarding the environment and the surrounding community.But who is responsible for implementing and maintaining the Industrial Control System and all of its components? The responsibility often falls on the shoulders of the Oil & Gas SCADA and Measurement Systems Administrators.Unfortunately,these administrators may not have the proper training or experience for this role,or they may be overextended with other responsibilities.Due to the aggressive growth of shale as a source of oil and natural gas in the U.S.,qualified manpower for data collection is in increasingly short supply.If fulfilling all of the requirements for data collection in these systems is considered a necessary evil for these administrators,what challenges must they overcome to ensure operational excellence? This paper will explore the five challenges facing data acquisition today,and how a robust,easy-to-use,and cost effective communications platform can alleviate those challenges.