Videos

Understanding reservoir compartmentalisation: Webinar Series 2020

Faults have the potential to compartmentalise reservoirs and have significant impact on sweep prediction and, ultimately, reservoir development cost. Compartmentalisation uncertainty analysis should form a routine part of quality assurance workflows through the entire reservoir development lifecycle.
In this webinar series, we analyse key compartmentalisation uncertainty workflows using horizon and fault interpretations, the impact these workflows have on reservoir prediction, and how to identify and address these issues rapidly and effectively.

Webinar_1_resolution_compressed

Understanding Resolution Limitations (1hr)

Predictive fault tip extension workflows based on outcrop studies are well documented and understood. The correct application of these workflows can have significant impact on extension length and compartmentalisation configuration. What can be done to optimise these workflows? And what is the impact of their miss-application?

Webinar_2_Optimising_compressed

Optimising interpretations for structural uncertainty analysis (1hr)

A wealth of important information is contained within seismic interpretations. Understanding how key features of a structural interpretation can be a diagnostic for addressing compartmentalisation uncertainty lends itself to a more comprehensive understanding of reservoir risk. What are these key diagnositc features? And how can interpretations be optimised for structural modelling? 
Webinar_3_Addressing_compressed

Addressing compartmentalisation uncertainty using structural modelling workflows (1hr)

A complete understanding of compartmentalisation risk requires the generation of alternative structural models, but all too often such uncertainty analyses are anchored on single base case models. In this final chapter of the Spring webinar series, we present a method to rapidly generate plausible, alternative structural models, allowing for the routine integration of structural uncertainty in to the reservoir modelling workflow.

Webinar_3_Addressing_compressed

Addressing uncertainty using geologically constrained interactive fault extension workflows: Ameland Field, NL (1hr)

We take another look at the Ameland Field, NL using a selection of new techniques and workflows to demonstrate a novel approach to addressing structural compartmentalisation uncertainty. We will take a look at identifying subsurface relay structures and conditioning fault extension trajectories using dynamic regression and data-derived interactive extension methods to honour structural complexities that would otherwise be ignored.

 

Documents

Ava_in_action_Ave_structure

Understanding the impact of compartmentalisation uncertainty in the Ameland Field, NL

 The Ameland field, offshore NL, is producing gas field, made up of a series of fault bound blocks that are potentially compartmentalised by low throw faults
Fault tip extension prediction

Fault tip extension prediction: understanding resolution limitations

In principle, theoretical tip extension workflows can be upscaled to reservoir-scale faults, allowing for the prediction of non-seismically resolvable fault tips and extension lengths beyond those that are resolvable using conventional seismic imaging techniques. However, the correct application of these workflows can have significant impact on predicted extension length and compartmentalisation configuration.
Addressing compartmentalisation uncertainty

Addressing compartmentalisation uncertainty using structural modelling workflows

In principle, theoretical tip extension workflows can be upscaled to reservoir-scale faults, allowing for the prediction of non-seismically resolvable fault tips and extension lengths beyond those that are resolvable using conventional seismic imaging techniques. However, the correct application of these workflows can have significant impact on predicted extension length and compartmentalisation configuration.

Access Resources

    Please fill out the form below to access our technical resources.



    This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.