Consulting Services

	Conventional Petrophysical Analysis From the early days of providing only consulting services, to the beginning of our LESA package over two decades ago, log analysis is the cornerstone of our expertise. With our tool kit of software packages and our worldwide experience, we can offer solutions to your most complex problems.
	Unconventional Petrophysical Analysis Our specialized model identifies four independent porosity components for unconventional reservoirs - the standard clean formation effective porosity (inorganic), total organic carbon, clay porosity, and the effective porosity (organic) associated with the shale.
	Rock Physics Fluid content affects porosity log response. A fundamental equation, derived by Gassmann addresses the issue of gas content on acoustic realm. Another similar approach by Krief extends the analyses into the shear acoustic realm. We have adapted both equations from petrophysical application and extended into the full range of shaley formation and complex lithology analysis. By density and neutron log responses, we have derived a system for generating individual pseudo porosity logs – density, neutron, acoustic (both compressional and shear) – for any predefined fluid combination. The approach has significant application in generating synthetic seismograms and for calculation of mechanical properties.
	Relative and Effective Permeability Using petrophysically calculated Sw and theoretical Swi, calculation can be made of relative permeabilities to both wetting and non-wetting phases. By combining with petrophysical estimates of permeability, effective permeabilities to each phase can be calculated. The technique can be used to help avoid intervals with high water/hydrocarbon ratios. Depth specific relative permeability curves can also be generated. Different models are used for water-wet, oil-wet, and mixed-wetting systems.
	Fracture Identification In the absence of image log data it can be valuable to make an estimate of fractures from standard triple-combo data. By looking at rates of change on various raw and calculated curves, and investigating the agreement between the logs, it is possible to identify fracture swarms.
	Identifying By-passed Pay Using a propriety methodology, Digital Formation can reliably predict zones of by-passed pay. Using existing production data on a sequence of training wells, we can apply a model to a field or region to predict by-passed pay.
	Upscaling Core Data Core upscaling provides a means to bring the resolution of the core data up to a similar scale as the log data. The technique allows better depth matching to the logs, and can have a significant impact on any regressions to the core data when determining matrix properties.
	Other Services Read about other services offered by Digital Formation.