Numerical inversion capabilities of lateral logging sounding data in determining geoelectric parameters for reservoirs of Northern fields in Western Siberia
We present the results of numerical modeling and inversion of lateral logging sounding (LLS, or BKZ in Russian) data to determine the geoelectric parameters for oil-and-gas-bearing reservoirs of the northern fields in Western Siberia. The research provides the analysis of synthetic LLS signals calculated for a typical model of the Achimovo Formation of the Yamburg field, which is characterized by small reservoir thickness. We have considered the influence of changes in parameters such as the formation resistivity, the thickness of the invasion zone, and the depth shift on the LLS signals. We have assessed the accuracy of reservoir parameter reconstruction using 2D numerical inversion, have determined areas of equivalence, and have proposed recommendations for minimizing errors. The results show that the greatest sensitivity of LLS signals corresponds to changes in the resistivity of a formation and the thickness of the invasion zone, with the error in determining the formation resistivity being up to 12%.
