Geological & Log Data Processing & interpretation

Although a systematic evaluation of the uncertainty associated to reservoir characterization profiles calculated from log data could have a significant impact on reservoir exploitation strategies, a probabilistic interpretation methodology of log data has not been developed yet, due to the complexity of the problem. By contrast, metrology presents a world-wide consensus on techniques to quantify uncertainty.

Geophysics has a wide range of fields to develop the techniques and generate new approaches to define much more efficiency with a less costs, like that using optimized arrays and accurate processing methods.

In P.A.ENERGY  a probabilistic approach based on the Monte Carlo method is used, aimed at identifying the potential sources of and quantify uncertainties associated to measurements and interpretation of log data. The methodology was applied to the determination of the water saturation profile for a gas bearing, shaly sand formation.  The probabilistic analysis also allowed the identification of the most critical parameters in the determination of porosity and water saturation values and, therefore, they made evident that quality of data, appropriate selection of acquisition techniques, and adoption of appropriate effective porosity values and saturation models are relevant to significantly improving the reliability of water saturation calculations from well log data.