Skip to content

Case study

Rig Performance

The innovative way to measure operations performance is through mud logging data interpretation, avoiding any bias and increasing granularity of the analysis. This last approach is focused on a set of automatically detectable operations (tripping, drilling, circulating, reaming, on slip).

ID3 Software Case study

offshore drilling rig

During long drilling campaigns the increase of the performance is fundamental: all the operations have to be optimized in order to reduce time and cost as much as possible.

Standard performance evaluation is based on macro kpi (drilling ROP, flat time duration,..), instead higher the accuracy of the time analysis, higher could be the potential for improvements. The innovative way to measure operations performance is through mud logging data interpretation, avoiding any bias and increasing granularity of the analysis. This last approach is focused on a set of automatically detectable operations (tripping, drilling, circulating, reaming, on slip,..) that already covers around 60-70% of overall drilling time.

By using ID3, the activities are detected with an higher granularity and then it’s possible to perform an in-depth analysis in order to boost the performance.

An example is regarding the Rig performance. There are some KPIs that depends only on crew performance and not on well design or geological conditions, such as:

  • Cased hole tripping speed
  • Connection time

These KPIs can be measured both during tripping and casing operations.

The following figure shows a detail of the tab “Tripping” of ID3.

tripping speed dashboard

Through intuitive selections, ID3 allows to analyse overall tripping performance focusing on RIH (Run In Hole) or POOH (Pool Out Of Hole) operations in Cased Hole or Open Hole.

The following graphs summarize the main results of the analysis of a drilling ship performance compared to three similar campaigns in Asia, Africa and USA.

well performance graphs

During the campaign under evaluation, the percentage of rig dependent NPT is increased compared with previous campaign, except regarding rig NPTs of USA campaign.

Tripping performance (considering both cased hole tripping and connection time) are increasing; time spent on connections is decreasing highlighting a learning effect in crew performance.

More case studies

  • AI Assistant result

    Case study

    Conversational AI Assistant for Drilling Performance Optimization

    Drilling engineers operate in a highly data-intensive environment, where performance optimization depends on quickly extracting insights from large, fragmented datasets. These datasets include structured sources (e.g., well KPIs, operational metrics) and unstructured sources (e.g., daily drilling reports).  ID3 Software addressed this challenge by implementing a conversational AI assistant within the ID3 Benchmark analytics platform for a major global energy operator. The solution enables engineers to interact with data using natural language, significantly reducing the complexity and time required for analysis.

    Read more

See ID3 running on your wells

Tell us about your operations and data sources. We will set up a demo with the modules that matter to you.

Quick links

↑ ↓ to navigate ↵ to open All results