Bulwark Services provides a full range of petrophysical services. Petrophysical support offered by our Company varies from comprehensive assessment of a single well to multi-well data interpretation. Multi-well simultaneous analysis capabilities result in substantial gains in productivity and quality, even in the most challenging analytical environments.
Our petrophysical software packages are ideal solutions for effective geological and petrophysical analysis. Bulwark places high emphasis on development of our specialists in the area of petrophysics. Our specialists actively participate in research and development of new technologies and tools.
- Multi-mineral analysis of petrophysical model, to statistically determine mineral and fluid characteristics and volumes from petrophysical data such as logs, cores, and petrographic data
- Applying a hybrid neural network model to automatically solve non-linear regression problems for more result accuracy.
Lithology/PorosityOpen and total porosity data are used for open-hole log interpretation. In addition, we perform a multi-mineral probabilistic analysis, in particular, in case of fields formed by carbonaceous rocks. Open-hole data analysis results are combined with core data, images, and production parameters.
Petrophysical estimation of porosity requires a more accurate assessment of grain density which is a function of rock matrix generation. Mineralogy, matrix density, and shale content can be estimated from standard open-hole data.
We determine water saturation, by using both standard and modified equations, such as Archie, Juhasz, Simandoux, Dual-Water, Indonesia, Waxman-Smits. Availability of worldwide petrophysical database enables us to build petrophysical data taking into account the specifics of a particular region. Saturation modelling from free water level using capillary curve data or applying equations modified for a particular region allows us to make assessment of reserves with higher accuracy.
To assess permeability, we use different calculation models. Core data (compartmentalisation of reservoir facies, rock textural and structural features) in combination with logging data, allow us to match a permeability profile determined according to the selected calculation method more accurately.