Solid Interpretation

RSI’s interpretation within a rock physics framework provides a thorough understanding of the reservoir.

RSI’s integration framework, Solid Interpretation, integrates all available data to yield the best understanding of reservoir morphology and properties. As such, Solid Interpretation crosses all disciplines so that clients get the most of the data they have available.

On its own, each type of data has limitations. Used together, within a rock physics framework, the strength and contribution of each data type clarifies understanding of reservoir characteristics.

At RSI we use our Solid Interpretation suite of workflows and rock physics tools to provide quantitative measurements of sub-surface rock and fluid properties that provide the most advanced reservoir characterization available on the market.

Solid integration at RSI begins with thorough data analysis. If you get the rocks and rock physics wrong, you get the interpretation wrong. We don’t. We’re Rock Solid.


At the core of every RSI project is the belief that integration of different geophysical data types yields the most reliable characterization of the reservoir and its properties. When only one data type is used in evaluation, the result can be ambiguous. Integration of different geophysical data types allows the strengths of each to be exploited.

Well logs provide a high-resolution measurement of the properties of a reservoir and the surrounding strata, however properties can only be determined in a small area local to the well. Often measurements of reservoir properties across the extent of a field are required. Geophysical methods provide the data necessary to investigate the earth between well locations.

Seismic data are commonly used to provide images of the sub-surface and develop high-resolution geological models of structure and stratigraphy. Amplitude variation with offset (AVO) and inversion for acoustic and elastic impedance may also be used to constrain properties such as elastic moduli and density. However seismic data alone in many situations cannot give a complete picture of the reservoir.

CSEM data is used to determine the resistivity structure of the sub-surface. In many situations electrical resistivity is driven by the properties and distribution of fluids in the earth, and can be indicative of hydrocarbon saturation. However taken by itself, a measurement of resistivity can be ambiguous: regions of high resistivity may be the result of hydrocarbon saturation, but my equally be caused by changes in porosity or lithology. MT isn’t sensitive enough to identify resistive structures; however, it is a natural complement to CSEM in many situations because of its extreme sensitivity to background structure.

It is clear that a careful combination of all three data types can supply information that is not available, or is unreliable from any one data type alone. By integrating complementary sources of information and exploiting the strengths of each, estimates of rock and fluid properties such as hydrocarbon saturation, lithology and porosity can be obtained with greater confidence than from any one data type alone.

Our approach uses a range of workflows developed for the integrated interpretation of seismic, CSEM/ MT, and well log data within a consistent rock physics framework, to provide qualitative & quantitative measurements of sub-surface rock and fluid properties, leading to improved reservoir characterization.

Rock Physics Driven Geological Interpretation

Seismically-derived elastic attributes and CSEM derived electrical attributes are combined through rock physics analysis to characterize the reservoir in terms of the most important petrophysical properties such as fluid saturation, lithology, porosity, fracture, TOC, brittleness, etc. The petrophysical properties to be estimated depend on the type of reservoir (clastic, carbonate, unconventional), the quality of the data, and the sensitivity of elastic and electric responses to petrophysical properties.

A variety of rock physics, and statistical approach are used to integrate the well-log data with the seismic and CSEM information. The final results are analysed and interpreted in a stratigraphic and structural context with the goal of de-risking any potential prospect or new well location in the area.