Rock physics pressure and reservoir characterisation related technical publications| Ikon Science

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Aug
20

A machine learning approach to quantitative interpretation

Machine learning can play an important role in making subsurface quantitative interpretation workflows more efficient, consistent and potentially more accurate. Two workflows are shown in 1D and 3D applications. It is argued that the 1D cases are more about improvi... Read More.

Aug
20

Pressure and Stress Assessment in Anisotropic Rocks

Understanding the pore pressures and stress distribution within the subsurface is of paramount importance in the design of a well in order to accurately determine the allowable drilling window. Many of the conventional methods that exist to predict the pore pressures and stresses... Read More.

Aug
19

Success in Mapping Thin Bed Carbonate Layers

Mapping thin targets such as carbonate stringers is a major challenge in all fields of Kuwait. The target reservoir is three Upper Jurassic carbonate units impeded in anhydrite sequences of the Gotnia Formation at approximately 10,000 feet below the surface. Available data consis... Read More.

Aug
13

Inversion of 4D seismic data for production facies

Rapid and accurate characterization of time-lapse seismic data is important to enable operational adjustments to be made and provide a guide for future drilling. A facies-based Bayesian inversion offers some advantages over traditional simultaneous prestack inversion, primarily a... Read More.