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Expert, independent advice on the most appropriate satellite imagery (optical, radar) and elevation data products.
The benchmark for petrophysics, rock physics, facies analysis and statistical mineralogy. Collaborative multi-well log analysis made easy for better drilling decisions.
Rock typing is a key step in geological reservoir modelling. It consists of using the raw well data and petrophysical interpretation, core description and petrophysical laboratory measurements, to de ne lithofacies with similar petrophysical characteristics. These facies are used to complete the geological model using geostatistical approaches.
Generally, a rock typing analysis is associated to electrofacies determinations. Electrofacies are built from automatic classification of log signatures. Electrofacies are the result of an automatic group point classification representative of a similar log response.
Electrofacies are linked to core facies descriptions and petrophysical data. For instance; porosity, permeability, capillary pressures or geomechanical properties in order to build rock types. These rock types will be extrapolated into all wells available on the field to spread localised core data information into wells without core.
At CGG we understand how important it is to have a reliable set of rock types in order to develop strong and coherent 3D geological models.
Rock typing using porosity/permeability RCA
Rock typing using capillary pressure curves
Rock typing using geomechanical properties
Our experience in data management and data transformation make us a partner of choice to QC, manage and transform your data into more efficient data.
The association with our ability to perform high quality Formation Description Log, which involves a standardization of the corrections applied to the raw log data and a robust creation of log data interpretation, this enables us to have a very good knowledge of the data itself which is essential in rock typing analysis.
Without this knowledge of the data’s ‘background’, each variation between log acquisitions across wells in the field could create distortions in the study results.
Our methodology is very adaptable depending on the data type available. As we have a wide knowledge of a data types thanks to our QC and data management historical background, we are able to adapt our methodology to give you the best answer possible.
The invariable foundation of a rock typing study is the utilisation of probabilistic and statistical application. CGG is pleased to use the most widespread methodology known today using the Kohonen Self Organising map methodology using Interactive Petrophysics™ software.
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