Tian (2014)

The objective of our research in this new phase is to explore ways of extracting new information from 4D seismic data, in a timely and robust fashion. This also allows us to populate and constrain the reservoir model with integrated tools designed for a fast turnaround, yet maintaining reliable predictions for forward reservoir performance. Our work is achieved by developing new tools for pre-stack analysis, investigating volumes instead of maps, and time-shifts and amplitudes combined. This approach interfaces with our seismic history matching effort which aims to investigate new ideas for speeding up the closing of the small and large loops in the overall workflow.

To address the above, our Phase VII technical programme builds on previous successful phases over the past eighteen years. Whilst there is a desire to continue many of our successful themes, we include some new and challenging projects within these themes that address the needs of the industry today. Continuation of some select topic themes is necessary as ETLP has a well-established research lead in these areas, and they continue to be highly relevant. In addition, it is our intention to further mature these studies by extensive in-depth application of our methods to a number of datasets donated by sponsors – we have already refreshed our data portfolio with these developments in mind. ETLP will also take this new phase as an opportunity to consolidate the knowledge acquired over the years, the software developed and rationalize our database. This is also important in achieving the ultimate objectives of our programme to ensure our developed tools can be utilised effectively by staff, students and sponsors alike.


The programme can be categorized into three thematic modules whose central subject areas are:

 • Module 1 – Enhancing 4D interpretation  
• Module 2 – Dynamic property estimation
• Module 3 – History matching and update

The ETLP technical programme include a series of targeted studies closely aligned to our current and anticipated staff and PhD student resources. These topic areas will form seeds for each individual staff and PhD student project. As our work is practical by nature, it relies upon sponsor-donated data to provide a focus for extensive in-depth research.