This study develops a quantitative model using geostatistics to predict geological parameters in Block A, suggesting enhanced reservoir understanding.
At present, the Beier Depression requires more detailed quantitative research. To numerically represent the actual reservoir, and to compare and interpret the seemingly unrelated data, this study is based on the geological and logging data of each well within the study area, combined with the spatial configuration relationship of sedimentary facies, and guided by the theory of geostatistics, a multi-parameter collaborative geological attribute spatial distribution model has been established. Through Kriging interpolation and random simulation algorithms, quantitative predictions of geological parameters of the three-dimensional grid cells have been achieved. This study has constructed a three-dimensional geological model system including structural model, sand body framework model, physical property parameter model and hydrocarbon-water distribution model, and realized the integrated representation of reservoir structure, attributes and fluid distribution.
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Jinling Wang (2025) studied this question.
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