Software Architecture Revolutionizing Upstream Oil & Gas Automation
Modern oil & gas (O&G) rig operations are highly inefficient because of varying skill levels of crews, lack of industry standards and no agreed upon metrics with which to evaluate performance. This means that best practices cannot be enforced by operators, thus leading to a wide range in cost, not only from contractor-to-contractor but from rig-to-rig. With the inability to enforce best practices, a majority of operations still performed by manual operations in an extremely hazardous and volatile environments, safety can be compromised. Upstream O&G has reached the limits of what is achievable with traditional engineered solutions. True adaptive learning automation can only be achieved by implementing modern software architectures based on data centric principals. Jarrod Chapman of Ensign Energy, together with Mark Carrier of RTI, will discuss the continuation of work by Carrier to develop National Oilwell Varco’s NOVOS reflexive drilling system, which automates repetitive drilling activities, benefiting contractors by allowing drillers to focus on consistent process execution and safety, and benefiting operators by optimizing drilling programs. Taking this work further with Ensign Energy and Shell, our presenters have been able to redefine the relationship of two market sectors, the contractor and the operator—reducing the cost of integration, improving safety and reliability across the entire market segment, and providing levels of security which have never existed in this industry.