SLB uses Dataiku to reduce well construction tender analysis from 8 hours to 20 minutes
SLB needed a single data science and AI platform with no- and low-code interfaces to efficiently process domain data at scale. Manual well construction tender analysis took approximately eight hours per well due to unstructured daily drilling report data and unconscious-bias errors. Reservoir pressure analysis took at least one week and lacked any visualization dashboard. The company also faced an annual unplanned employee attrition cost of $80-$200 million with no automated means to identify at-risk employees early.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Well construction bid received
SLB must correctly size its response to a bid to ensure profitability while providing competitive prices to customers.
Tools used
DataikuSpotfirePowerBI
Outcome
Dataiku reduced well construction tender analysis to 20 minutes and the approach has been used to assess more than $10 billion in tenders. Reservoir pressure analysis became 76% faster. The HR predictive model enabled SLB to retain $18-45 million annually in employee value, and the Skills2Career dashboard saved hundreds of thousands in recruitment costs.