Abstract
Abstract The reservoirs in the eastern depression of Liaohe basin are formed by multistage igneous eruption. The lithofacies and lithology are complex, and the lithology is mainly intermediate and basic igneous rocks. Based on the integration of debris data of igneous rocks and logging data, this article selected 6,462 continuous logging data with complete cuttings data and five conventional logging curves (RLLD, AC, DEN, GR, and CNL) from four wells in the eastern depression of Liaohe basin as the training set. A variety of lithologic identification schemes based on support vector machine and random forest are established to classify the pure igneous strata and actual strata. By comparing the classification results with the identification data of core slice and debris slice, a practical lithologic classification scheme for igneous rocks in the eastern depression of Liaohe basin is obtained, and the classification accuracy reaches 97.46%.
Highlights
The reservoirs in the eastern depression of Liaohe basin are formed by multistage igneous eruption
According to the conventional logging data of igneous rock area in Liaohe east depression, this article uses Support vector machine (SVM) and Random forest (RF) methods to classify the lithology under the condition of pure igneous rock and designs different schemes to classify the lithology under the stratum condition, and divides the lithology of actual well section [20–22]
6,462 continuous logging data of complete cuttings data from four wells in the eastern depression of Liaohe basin are selected as the training set, including 2,202 sedimentary rock data and 4,162 igneous rock data as well as continuous rock data of six lithology, compact trachyte, non-compact trachyte, compact basalt, noncompact basalt, diabase, and gabbro, and 98 coal seam data
Summary
Abstract: The reservoirs in the eastern depression of Liaohe basin are formed by multistage igneous eruption. By comparing the classification results with the identification data of core slice and debris slice, a practical lithologic classification scheme for igneous rocks in the eastern depression of Liaohe basin is obtained, and the classification accuracy reaches 97.46%. The cross-plot method needs a large number of accurate standard lithologic data, and is limited by the geological region. According to the conventional logging data of igneous rock area in Liaohe east depression, this article uses SVM and RF methods to classify the lithology under the condition of pure igneous rock and designs different schemes to classify the lithology under the stratum condition, and divides the lithology of actual well section [20–22]. The correctness of identification results is verified by combining with actual core data and lithology section
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