Our technologies

All our code is developed inhouse. This promotes a streamlined and flexible workflow to meet the needs of specific project challenges in a timely manner on a single integrated QI platform. Such a platform provides for bespoke solutions and for extensive and iterative testing.

The algorithms are built to produce data driven and unbiased results, with the ability to quantify uncertainties. This enables a higher degree of confidence in the QI results.

Each process is fully optimised for speed and efficiency in a high performance computing environment. Our scalable algorithm implementations support parallelisation and this enables the handling large datasets and computationally intensive processes. Parallelisation ensures a fast project turnaround time and enables extensive parameter testing for an optimised QI result.

Seismic Data Conditioning

Improve quality of input seismic data by noise suppression or other techniques.

Well Data Analysis

Bridging the gap between remotely and directly acquired data.

Seismic to Well Ties

Time-depth and wavelet estimation to calibrate dataset from different domains.

Low Frequency Modelling

Low-frequency modelling using well logs, seismic horizons and seismic velocities.

Seismic Inversion

Simultaneous, symmetric inversion of 4D changes in elastic and/or petrophysical parameters.

Lithology and Fluid Prediction

Prediction of subsurface lithology and fluid content by either Bayesian classification or direct inversion.