Russian multisonde laterolog tool for reservoir determination and estimation of oil saturation

UDK: 550.83.07+550.837+550.8.08
DOI: 10.24887/0028-2448-2019-11-88-93
Key words: laterolog, multisonde laterolog, vertical resolution, depth of investigation, numerical focusing, synthesized sondes, inversion
Authors: V.A. Klimenko (NPF Geofizika JSC, RF, Ufa), T.R. Salahov (NPF Geofizika JSC, RF, Ufa), D.R. Shakurov (NPF Geofizika JSC, RF, Ufa), A.A. Popov (Bashneftegeofizika JSC, RF, Ufa)

The article describes the characteristics, features and methods of application of the latest (2014) development of NPF Geophysika JSC – fivesondes laterolog tool (5LL). Due to the complexity of the problems, before the development of the tool, together with Central Geophysical Expedition JSC we carried out a complete computer simulation of the developed sondes, the choice of the required sondes lengths, corresponding to a single vertical resolution and different depths of investigation for each sonde. Depth of investigations is selected in such a way as to allocate the radii of the invasion zone and to estimate the electrical resistivity of the unaffected part of the formation and the invasion zone. As a result, the developed tool allows to solve the same problems as foreign multisonde laterolog tools, such as Rtexplorer (Baker Hughes) and HRLA (Schlumberger), but has its own unique form of the sondes. A comparison of the characteristics and the actual logging curves developed tools and singlesonde laterolog tool K1-723 and the HRLA tool. The treatment of the indications of the curves of the 5LL tool and its functionality are demonstrated. On a real example the introduction of corrections for the influence of the borehole, conducting a point-by-point and interval valued solution of the inverse problem is shown. The solution of the inverse problem is implemented on the basis of introduction of amendments (three-layer chart curves), and on the basis of the full implementation of the inversion – computation of the synthesized curves in the model and their comparison with logging data, with subsequent refinement of the model. The misfit is calculated at each refinement of the model, as the degree of mismatch between the model solutions with well-logging curves.


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