A huge amount of data is made available during well operations (surface and downhole logging data, lithological reports, drilling reports, equipment data,..). An integrated analysis of these multi source data provides highly valuable information for future wells engineering and planning in term of well problems investigation, performance enhancement and, ultimately, cost reduction by anticipating and reducing risks.
The use of a "big data" solution consolidating these multiple sources allows the creation of numerous analytics both on single well and group of offset wells. Particularly, the interpretation of surface logging data through the automatic recognition of operating sequences, when put together with other data sources including standard daily reports, provides a much higher granularity than traditional reporting.
Every operation is accurately measured through objective and detailed KPIs (ROP, tripping speed, weight to weight, connection time, etc.). Technical and performance issues are easily evaluated allowing a better understanding of their root causes, anticipating and avoiding the occurrence of these problems in the next wells and measuring activities and operations potential improvement. This process helps reducing drilling costs through entire well lifecycle:
The calculation of the technical limit and the implementation of the lessons learned that can emerge from the analysis allows to increase the performance on the overall drilling phase through the reduction of the Invisible Lost Time. ILT are usually around 25% of all the drilling operations. This increase of performance has been measured on a series of drilling campaigns in a range from 6% to 8% time saving.
The calculation of impartial performance indicators is already used on some drilling contracts, to incentivize performance from drilling contractors and also to cover excessive low performance. Up to 5% of contract value can be adjusted thanks to these KPIs.
The extensive use of well data improves the quality of reporting information from the field. It provides also a structured repository of all data recorded from the well operations. This digitalization process opens a world of capabilities for the operators in terms of predictive modelling and operations automation.
The novelty of this approach is the combination of multiple data sources that provide unmatched analytics. In fact, these data are usually analysed on individual basis and limited to control in real time drilling operations. Therefore, the approach is creating value out of existing data, with limited resources.
