Lithofacies classification
Web6 mrt. 2024 · Interpretation of the environment in which lithofacies were deposited from analysis of cored sequences involves relating the identified lithofacies to the physical and biological processes that produced them. This process-response relationship identifies the specific processes responsible for the sequence and, by inference, the depositional ... Web7 mrt. 2024 · As a result, the commonly used lithofacies classification scheme based on rock composition and grain size is difficult to characterize accurately, hampering the evaluation of the Fengcheng Formation's hydrocarbon exploration potential. Therefore, the shale lithofacies classification scheme of Fengcheng Formation was proposed.
Lithofacies classification
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Web16 jul. 2024 · Lithofacies are a discrete variable that describes categories of the rock quality, defined as having two or more states. Lithofacies represent small- to … Web1 apr. 2024 · Four lithofacies types were defined and discussed Lithofacies 1: organic-matter-rich mudstone Lithofacies 1 is an organic-matter-rich, rarely bioturbated, dark …
Web2 dagen geleden · These lithofacies can be classified into three broad lithofacies associations based on outcrop section observation and logging lithology interpretation. Because of their genetic linkage and complex combination relationship, the limestone and mudstone lithofacies are regarded as a single type of lithofacies in this study. Web1 mei 2024 · For modeling lithofacies, six lithofacies codes have been presented; the codes are as folllows: anhydrite, limestone, dolomite, shale, dolomitic limestone, dolomite with anhydrite. After variography analysis, identified codes have been propagated based on sequential indicator simulation method by considering depositional environment of …
Weblithofacies mapping, the research of mineral- geochemistry of biotite, rutile, chlorite, and dolomite from the Ti-Fe-rich gabbro intrusions at the depths of Yinmin Iron-copper deposit were conducted in the paper. Finally, the metallogenic physicochemical environment was discussed and analysed. 2 Mineral-geochemical characteristics 2.1 Rutile Web16 mrt. 2024 · Lithofacies classification based on a hybrid system of artificial neural networks and hidden Markov models Geophysical Journal International Oxford Academic SUMMARY. Lithofacies is one of the most important reservoir parameters, which could provide a qualitative description for hydrocarbon and geothermal reservoirs.
Web19 jul. 2024 · Litho-facies help in the quantification of the formation properties, which optimizes the drilling parameters. The proposed work uses the artificial neural network algorithm and an optimizer to develop a working model for predicting the lithology of any formation within the study area in real-time.
Web2 mrt. 2024 · In order to clarify the characteristics of fine-grained sedimentary lithofacies and the depositional models in lacustrine environments of the Chang 7 Member of the Upper Triassic Yanchang Formation in the Ordos Basin, we focus on the lacustrine lithofacies classification and controlling factors. Based on the typical field sections of the southern … bvps definitionWeb16 jul. 2024 · Lithofacies are a discrete variable that describes categories of the rock quality, defined as having two or more states. Lithofacies represent small- to intermediate-scale heterogeneities in... cew merksplasWebIn the classification based on the spectral facies, the trained multilayer neural network model showed high prediction accuracy for all the lithofacies. Based on these observations, it is confirmed that more precise lithofacies interpretation and classification can be conducted with the developed methods. bvps remote learningWebThe workflow consists in an innovative facies classification approach using a combination of well established methodologies, state of the art in the oil industry. Workflow includes: SMLP and MLP plots (reservoir quality and trends analysis) FFI (Free Fluid Index) (facies subdivision based on irreducible SWi as lithofacies distinctive… cew membership criteriaWeb4 okt. 2024 · Lithofacies classification is a fundamental step to perform depositional and reservoir characterizations in the subsurface. However, such a classification is often hindered by limited data availability and biased and time-consuming analysis. cew manufacturingWeb28 jan. 2024 · (S4): Lithofacies Classification Based on MNN. To improve the practicality of the SF interpretation results, an automated lithofacies classification model was developed based on the MNN. This MNN model can generate a nonlinear classifier to model the complicated statistical characteristics between the explanatory and response … cew moldWeb9 aug. 2024 · After predicting the discrete lithofacies distribution, the Confusion Table and the Correct Classification Rate Index (CCI) were employed as further criteria to analyze … bvp railway