Manage risk and cost drivers with strategies and decisions from data.
Cost of operation is a highly discussed and recurring topic. In operational environments there is naturally a constant focus on reducing cost, where processes and procedures are thoroughly analyzed and optimized.
Effective improvements comes from understanding the processes that impacts operations, and how the different processes and events relates with cascading impact throughout the production processes. Data is central in understanding these processes, and more important understanding how data relations describes different impact in different context.
Oilfield chemistry play a major role in both production regularity and operation integrity where chemical reactions caused by changes to system conditions and fluid chemistry often has severe impact the production and operation. When left unattended the result is cost going up and loss of revenue from e.g. production loss, reduced capacity and increased maintenance.
Thus choosing the best strategy for managing operational and system risk is critical to control and reduce cost; i.e. strategy and decisions based on quality information from measured data.
Treatment strategies are decided from system analysis and monitoring change. Cure as a solution; usually includes interventions, maintenance or chemical treatment, is associated with high cost and often a result of failed monitoring and prediction.
On the other side a preventative treatment is founded on knowledge of the operational risk and the ability to adjust solutions accordingly such as material selection, operation changes or low dosage chemical treatments. In the long term being predictive and early capture changes to the operational risk keeps the cost low.
A good treatment strategy need to be developed from a combination of system analysis, knowledge and monitoring. In addition it is important to understand how the operational risk changes in a changing production environment and how to keep up with agile treatment strategies.
It becomes clear that in understanding operational risk there is need for a good data strategy. Knowing that information is not data it is equally important to understand the dependencies and relationship of indicators we are monitoring.
Thus we know that oilfield chemistry risk is not single indicator describing each application but is a predictive combination giving a better picture that enables us to act and adjust instead of wait and cure.
Automating, validating and improving data collection, processing and presentation should thus be considered the core of digital oilfield chemistry enabling informed and effective decisions and strategies.
Energy Components (EC) has been TietoEVRY’s flagship solution for the oil and gas industry since more than three decades. EC is an integrated hydrocarbon management solution which strengthens upstream and midstream businesses by offering fully-integrated functionalities to support hydrocarbon accounting, integrated asset modeling, optimization, forecasting and decision support.
With the experience of installing 600+ licenses in close to 55 countries worldwide, a significant percentage of the world’s production of hydrocarbons is today managed with EC, making it a world-leading solution in this domain.
TietoEVRY has developed the EC product suite in close collaboration with leading companies in the oil and gas industry. Today, more than 100 global oil and gas companies, including all super-majors, are using EC as an industry-standard solution.
John-Arne is an oilfield chemistry specialist with extensive experience from field operations. He is responsible for design, advisory and project management for the EC Chemistry and EC Environmental Management plug-ins for EC.