A large proportion of Petroleum Development Oman (PDO) future production resides in fractured reservoirs. In order to support the development of these volumes, a strong element of fracture characterisation and modelling has been included within a number of subsurface studies. The key enabler for these studies is the software technology, SVS (Simple Visualisation Software), developed by the Carbonate Development Team (CDT), in Shell EP-Research. PDO has not only taken a lead role in software implementation but is also steering the ongoing development of SVS according to the needs of active field studies. Currently, SVS is applied to the three themes of Oman's fractured reservoirs:
slightly fractured containing light oil
medium/highly fractured containing light oil and
highly fractured containing medium-heavy oil.
The key pillar of the SVS workflow is a detailed fracture characterisation which leads to the elaboration of a series of conceptual models which capture the range of the subsurface uncertainties. Once the conceptual models have been developed, these can be transformed into discrete fracture models with attached attributes (such as permeability anisotropy, fracture spacing etc). These models maybe transformed into reservoir simulation properties as per study requirements. This complementary paper to Rawnsley et al 20041 has for main objective to illustrate the SVS workflow with particular emphasis on the borehole image analysis and the use of a web based sandbox model database, to help constrain the fault geometries and the structural understanding of the fields.
In Petroleum Development Oman (PDO), a strong effort of fracture characterisation and modelling has been initiated to help unlock a large proportion of the future production residing in fractured reservoirs. The key enabler of these sub-surface studies is the software technology, SVS (Simple Visualisation Software) developed by the Shell's Carbonate Development Team (CDT), in Shell EP-Research. The key pillar of the SVS workflow is a detailed fracture characterisation which leads to the elaboration of a series of conceptual models. These conceptual models can be captured digitally as a series of "fracture trend maps" which capture the range of the subsurface uncertainties, and the result from a strong effort of static and dynamic data integration and analysis.