FESAus

About FESAus

FESAus, the Formation Evaluation Society of Australia, is the Australian chapter of the Society of Petrophysicists and Well Log Analysts (SPWLA).

Its aims are to provide a technical monthly forum for geoscientists focused on all aspects of formation evaluation, from new tools available to new techniques and approaches to analysing reservoirs, and to encourage formation evaluation professionals to network. In line with the founding principles of the SPWLA, FESAus is a non-profit organization dedicated to the advancement of the science of Petrophysics and Formation Evaluation, including well logging, coring, and other formation evaluation techniques and to the application of these techniques to the exploitation of gas, oil and other minerals, particularly in Australia.

FESAus July Technical Meeting:

Meretta Qleibo (SLB)

In petrophysical workflows, nuclear magnetic resonance (NMR) logging is routinely used to identify bound and free fluids and to estimate permeability, and these applications are well understood and widely applied across the industry. However, conventional NMR processing workflows typically extract only a limited subset of the information contained within the full porosity distribution and can be difficult to apply consistently, particularly when data are acquired using different tools, vendors, conveyances, and mud systems. This often limits the ability to compare wells directly or to use NMR beyond basic petrophysical interpretation.

This work introduces an AI-assisted NMR workflow designed to transform NMR porosity distributions into a consistent and extensible dataset suitable for facies and textural analysis. The application of this approach is demonstrated in the Jansz–Io Field, offshore Western Australia, where NMR data from multiple vendors and wellbore conditions are combined into a unified framework. The resulting AI-derived NMR facies capture variations in pore structure and reservoir quality not resolved by conventional logs alone and support a wider range of applications, including reservoir characterization, geological modeling, and completion design. While this work focuses on 1D NMR T2 data, similar AI tools are now being developed for 2D NMR T1–T2 maps, providing additional applications for NMR data in reservoir studies.

Tickets: In Person $30.00 inc. lunch | Online $10; Purchase here from now until 9th July, no tickets will be available at the venue.
– Refunds can be provided for cancellations 1 week or more prior to event.
– Tickets may be transferred to another person up until the start of the event.