BIBLIOMETRIC ANALYSIS ON NUMERICAL LITHOFACIES IDENTIFICATION FOR RESERVOIR CHARACTERIZATION IN THE PERIOD OF 1980 -2021

The term "electrofacies" was introduced in 1980 by Serra and Abbott, it had been developed promptly since 2009. development triggered predominantly wireline logging technology artificial intelligence technology. electrofacies categorization intended to facilitate the study of reservoir characterization. However, is difficult formulate deterministically, due uniqueness depositional environment geological processes that involve many physical properties. At least, there are 369 articles which were obtained from Scopus sources period - 2021. In this bibliometric analysis, we regrouped into four groups, i.e. “pattern recognition” “facies analysis”, “objectives” “quality”. This grouping attained on methods co-occurences, co-authorship, citation analysis bibliographic coupling using VOSviewer software. distance between themes will determine level quality quantity discussion them. objective resides certainty value lithology controlled transportation or diagenetic events. For example, sand shale siliciclastic have a higher degree than carbonate rocks. Therefore, wide gap occurred during application intelligence, especially for complex facies uncertain conditions. not solely functional without involving analysis. implication some researchs still needed point view, so role cannot be independent developing models process.