Research on Igneous Rock Lithofacies Identification Methods and Development of Related Software

DOI: https://doi.org/10.62517/jes.202602119

Author(s)

Zhang Jun

Affiliation(s)

SINOPEC Exploration & Production Research Institute, Beijing, China

Abstract

The identification of lithology and facies forms the foundation of igneous rock logging evaluation. Studies on the logging response patterns of igneous rocks with different lithologies and facies in the study area suggest that: conventional logging data can reflect the chemical composition of igneous rocks, while electrical imaging logging can display the rock structure. By integrating these two, igneous rocks can be named. Additionally, the structures and textures seen in electrical imaging logging have a good correlation with the facies of igneous rocks. Combining this with information on the morphology and amplitude from conventional logging, the facies of igneous rocks can be identified. Based on these works, software engineering methodology has been employed for systematic analysis, overall design, detailed design, and coding to develop a software for lithology and facies identification in igneous rocks. This software can automatically or interactively identify lithology and facies, and has demonstrated good practical performance in the processing of actual well data, confirming its usability.

Keywords

Igneous Rock; Lithological Identification; Rock Facies Identification; Software

References

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