Industrial NMR · Feasibility review
Tell us what you measure today and what decision needs to improve. We will review technical fit, available data and the requirements for a focused pilot.
Describe the material, current analysis workflow, target property or decision, and the turnaround you need.
Outline available NMR data, instrument conditions, sample variability and reference results. No file upload is required for the initial request.
Identify the reference method and the accuracy, repeatability and validation conditions a pilot would need to meet.
The review assesses fit and identifies missing evidence. Prediction performance is established on representative validation data during the pilot.
Start with your sample, the decision you need to make and the evidence required to validate it.
Problem. Purchasing and blending decisions cannot always wait for a full crude assay.
Data. Benchtop NMR measurements, representative crude samples and reference assay results.
Outcome to evaluate. Assess property prediction against your laboratory methods before a focused pilot.
Explore crude oil and blends → Discuss feasibility →Problem. Asset teams need comparable evidence of oil condition across samples and time.
Data. Oil spectra, sample history and reference measurements of condition.
Outcome to evaluate. Evaluate whether spectral changes can support your maintenance decisions.
Explore transformer oil → Discuss feasibility →Problem. Manual candidate review creates a bottleneck in research and impurity investigations.
Data. NMR data and available sample context, with expert review of candidate structures.
Outcome to evaluate. Use Spectra to support candidate review; confirm assignments with your chemists.
Explore nmr compound identification → Discuss feasibility →Read the refinery case study, then explore the Rombo AI Platform.
