A SMART Framework for Contextualization of Drilling Data for Supporting Drilling Workflows

Abstract Realtime operations generate huge amount of data that are stored as chunks in the WITSML data standard. Current WITSML model (version 1.4.1 or prior versions) does not provide enough flexibility to categorize channels. It is a challenging feat for users to dig through WITSML log object from a specific hole section or from a specific rig activity to zero in on any specific time frame in the aftermath of a NPT. This paper proposes the framework for a smart framework that organizes drilling data based on the rig activity within appropriate hole section without making any changes to the WITSML standard. This framework identifies rig activity, macro states and well events. This framework proposes a logical hierarchical tree structure starts with parent node based on hole sections, WITSML objects are aligned with corresponding hole sections. Each hole section is further divided into child nodes based on rig activity. Realtime workflows are aligned to the corresponding rig activity e.g. ROP optimization, wellbore stability workflows are aligned to drilling activity parent node. Based on this parent child relationship user can retrieve any Hookload sequence for any tripping operation, for any hole section without any hassles. Any changes within the framework, updated by the user, for the current activity will be auto adjusted for subsequent activities within the tree structure. Identifying risks and events from the historical wells for future analysis is often viewed as a time consuming task; this solution aligns risks and events for each hole section under individual rig activity making it easier to retrieve it from historical wells during well planning. Along with logical organization of drilling data, this framework also offers an Operational Time Vs Depth plot that provides a Bird's Eye view of the entire well operations. This solution can be used as a comprehensive logical structure for managing realtime and historical data from configuration to operational execution. Managing of historical and offset wells is simplified at the click of a button compared to the conventional method of data search. The workflow provides the flexibility for minimizing user intervention by eliminating the need for repetitive configuration activities for each hole section within the wellbore. This workflow can be effectively used by a novice or an expert user.