Oil, gas and energy companies need to know the precise status of all equipment at every extraction site, whether it be in the middle of the desert or miles out to sea. Ever-present risks include loss of data and cyberattack. If either of these occur, the goal is to contain the effects and maintain complete control over all productive and administrative processes at all sites. Beyond that, it is essential that a system is in place to ensure the complete and accurate documentation required by ISDS and ISQM. versiondog is used by the oil, gas and energy industry all over the world: in refineries, at drilling facilities, at pumping stations and on pipeline operations.
Key Features of versiondog
Dependable disaster recovery strategy
- Save time thanks to automatic backups
- Reduce or avoid downtime and ensure that supply contracts are fulfilled
- Monitor safety-critical processes
- Alarm function if desired values and parameters deviate from tolerance
- Detect unauthorised changes and access
- Fast response times in the event of malfunctions
- Increase IT security and strengthen overall cybersecurity strategy
- Support for distributed architectures
- Centralization of data availability
- Standardization of processes
- Control via remote access
- Save time due to standardised documentation
- Eases compliance with legal standards and requirements
- Documentation support for audits
„The decision to bring in versiondog was born out of a desire for comprehensive and uniform overview for all projects and versions in production and maintenance. We also wanted to unify all automation data for all user groups, including our over-seas-based technicians, into a single system. These expectations were fully met with the introduction of versiondog.“
Jan Petersen, production engineer at Siemens Energy AS
A firefighting mentality is one where organizations are frantically rushing to solve unexpected problems, making impulsive decisions, and applying short term “band-aid” solutions to restore production as quickly as possible. Production plants are particularly susceptible to this mentality. Why? Plants are up against a wide variety of risks to productivity and product quality. Human error, equipment failure, cyber attack, and natural disaster all have the potential to cause significant downtime. When every minute of downtime can cost thousands, it is critical to resume production as quickly as possible.
Nevertheless, very few production plants are adequately prepared for worst-case scenarios or even everyday issues. A proactive approach to data management for automation could save time, money, and effort.
This white paper will discuss how better data management can transform your industrial automation for increased productivity with fewer problems. First, it will explore the causes and concerns of a reactive “firefighting” approach to maintenance in automation. Then, it will propose data management tools and best practices to help break these habits.