Author:
Barhate Abhijit,Schibevaag Bjørn Audun
Abstract
To be capable of drilling a well autonomously there is a need for robots, algorithms, data and context. This paper focusses on contextualising the data and information out of scattered data and information to be able to start experimenting with autonomous drilling. The contextual part often feeds into the ‘autonomous’ systems manually. The result is often a static document like a PDF, and the contextual information remains in static documents all the way to execution. The Drilling Operations Procedures (DOP) or the Detailed Drilling Program (DDP) are typically created in Word as is the Standing Instructions to Driller (SID). The well plan is where most of the contextual information commences. It describes time, material and personnel with related costs and design. This is not static information and will change on its way to execution. Several stakeholders are involved in drilling a well and need access to this information in an updated form at any time. This can be done by digitising the static documents and making the content or data available through a ‘hub’ that can be accessed by all stakeholders. This paper will address how this can be done in a way that makes contextual data available from planning through to execution.