DATA ANALYTICS

Data Visualisation – Presenting downhole datasets clearly to reveal key geological and petrophysical relationships.

Validation – Checking dataset integrity to ensure consistency across tools, wells, and surveys.

QA/QC – Implementing quality control processes to maintain accuracy from acquisition through to interpretation.

Data Corrections – Applying corrections and standardisation to improve the reliability and usability of downhole measurements.

Machine Learning Applications – Applying machine learning techniques to identify trends, classify lithologies, and predict key geological or geophysical outcomes.

Predictive Modelling for Key Resource Value Drivers – Building data-driven models that forecast and explain the parameters most critical to resource performance and value.