Naturally fractured carbonate reservoirs hold a substantial volume of the world’s petroleum reserves and has a long production history. However, description of reservoir flow mechanism has been uncertain. Also, the existing reservoir surveillance tools are unreliable which results in reactive rather than proactive planning. Although significant strides have been made in computational technology, there is still need to accurately represent fracture properties in dynamic models. Furthermore, application of EOR techniques is limited in fractured carbonate reservoirs.
However, significant advancement has been made to improve fracture characterisation using high-precision electron microscopy and high-resolution seismic data acquisition techniques. Drilling technology has also evolved such that drilling complex wells has become more efficient with minimum operational difficulties.
Recently, there has been an upsurge on big data analytics in the industry. The potential application of these machine learning tools is even more relevant to fractured carbonate reservoir systems given the plethora of data available.
The objective of the workshop is to share the application of these technologies and workflows for more accurate characterisation of naturally fractured carbonate reservoirs. This will result in optimal field development. Current best practices in naturally fractured carbonate reservoir management will be presented by industry experts.