Performance Optimization
Automation of Drilling Performance Analysis
- Client
- Eni
- Country
- USA
- Year
- 2014
- Industry
- Oil & Gas
- Service
- Industrial Data and AI, Operations & Asset Performance
Daily Drilling Reports alone give a subjective, coarse picture of where rig time goes. For Eni, kwantis combined them with the rig's mudlogging sensor data to build an objective time breakdown at 5-second resolution.
- Resolution of the time breakdown
- 5 s
The challenge
Drilling performance analyses usually rely on Daily Drilling Reports. They are written by hand, so they are subjective, and they are too coarse to show where time is really lost.
Our approach
kwantis combined the two sources the rig already produces, keeping the strength of each:
- Mudlogging sensor data is continuous and highly granular. Rules written by kwantis interpret the sensor signals and detect the main operations automatically.
- Daily Drilling Reports are complete and descriptive. They add the context that sensors cannot see.
Merging the two gave a consolidated time breakdown at 5-second resolution.
The outcome
The breakdown shows the technical limit of each operation and how much room for improvement is left. In a large drilling campaign in Alaska, kwantis used it to evaluate the benefits of a specific technology against the wells already drilled, which gave the client what it needed to decide how to drill the next ones.
Because the analysis is driven by data rather than opinion, its results are objective, clear and easy to trust.
The analysis of large amounts of data opens many valuable opportunities for upstream operations.
