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Wells Data Geophysical Research Interpretation Features

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Theory and Practice of High Resolution Seismic HRS-Geo Technology Application

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Abstract

As part of the HRS-Geo technology, an interpretation system was created, which is based on the principles of continuous functional transformations along the well logging data for the study of borehole sections. The results of such transformations are necessary for optimal matching of the obtained physical parameters with the corresponding high-resolution seismic (HRS) ones. The features of the development and improvement of the methodology for processing and interpreting data from standard well logging methods according to the technique of integrating geophysical data by means of their functional transformations into information systems are considered. The results of logging data interpretation were obtained through the wide application of the well logs normalization method and their functional transformations, elimination of distortions in the original log curves, data integration when identifying complex reservoirs, assessing the porosity and density of various lithologies rocks, finding factors affecting geophysical parameters, determining influence bound water on resistivity in assessing the saturation of clay reservoirs and the effect of fluid composition on readings of normalized porosity and elastic wave velocity curves. The physical essence and principles of the normalized diagrams interpretation lie in the fact, with the help of the neutron gamma-ray logging curve, electrical resistivity variations caused by changes in the porosity of rocks along the section are excluded to consideration, and thereby areas of increased rock resistance due to their oil saturation are visually represented.

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Authors and Affiliations

  1. Faculty of Geology, Lomonosov Moscow State University, GSP-1, Leninskie Gory, Moscow, Russia

    Vladimir L. Trofimov & Fanil’ F. Khaziev

  2. Mechanical, Aerospace and Nuclear Engineering Department School of Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA

    Alisa V. Trofimova

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  1. Vladimir L. Trofimov
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Trofimov, V.L., Khaziev, F.F., Trofimova, A.V. (2023). Wells Data Geophysical Research Interpretation Features. In: Theory and Practice of High Resolution Seismic HRS-Geo Technology Application. Springer, Cham. https://doi.org/10.1007/978-3-031-41590-6_4

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