This session aims to discuss the challenges of reservoir characterisation, particularly in clastic and carbonate reservoirs, the solutions to approach the challenges, and the use of performance data to validate and continually update the reservoir model.
This section will cover various aspects of modelling and evaluating of different unconventional reservoirs including the following main topics:
This session will focus on lessons learnt and best practices in reservoir modelling related to integrated field studies that crosses seismic to simulation domains—with special emphasis on “closed-loop” reservoir management workflows incorporating dynamic data like production data, time-lapse seismic in static modelling. Presentations will cover experiences in both mature and green fields for clastic and carbonate reservoirs, unconventional developments, as well as field studies integrating reservoir-based geo-mechanics studies, advanced history matching workflow and real-time reservoir model update workflow.
This session will be looking at various techniques, workflows, and best practices for history matching and prediction as well as associated challenges.
This session will highlight the latest application and workflow for reservoir optimisation and uncertainty analysis to address the above concerns.
This session will aim to address issues such as; available technologies, e.g. fully transient and steady state coupled models, challenges and value proposition of integrated asset modelling.
Key issues with simulation modelling which we will cover during this session are QC of data input, data management, data effective understanding by reservoir engineering team, production driven simulation modelling, cost controls, application of innovative methodology, online data storage and management, parallel computing, software as a service, cloud computing, and data storage.
Challenges with simulation modelling; how to make data accessible to end user whilst maintaining data security and addressing the IT challenges and issues associated with in this process, data volume management, connectivity issues, simulation modelling data should be easy to understand for senior management to enable effective decision making processes.