Lithofacies classification

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August undefined, 2024

Web10 feb. 2024 · Mineral compositions are critical components for classifying shale lamination [14, 15]; therefore, we classify the lithofacies based on the lamination pattern and their background deposits. Previous studies have revealed that the degree of lamination is indicative of the shale geomechanical characteristics and the influence on rock failure [ … Web12 jan. 2024 · 结果表明：常规测井资料识别出的页岩岩相与ECS特殊测井资料识别结果一致，匹配程度较高。. 整体而言，当TOC质量分数≥ 2%时，涪陵气田五峰组—龙马溪组页岩硅质成分来源以生物成因为主；当TOC质量分数 < 2%时，硅质成分来源以陆源碎屑为主。. 涪陵 …

Petrophysical core-based zonation of OW oilfield in the …

Web1 jan. 2024 · Lithofacies classification scheme for the HRZ Shale. We used different quantitative values (cut-offs) of clay, quartz, pyrite, and TOC content to classify mudstone lithofacies in the HRZ Shale. Unlike the Wolfcamp and Eagle Ford Shale in Texas, we do not use carbonate as its proportion is insignificant in the HRZ Shale. hp 963 media markt

A Bayesian Approach in Machine Learning for Lithofacies Classification ...

Web2 jan. 2024 · Then, the pending data are input to the classifier and the solution whose posteriori probability reaches the maximum is extracted as the predicted result at each grid node. An a posteriori probability distribution of predicted lithofacies can be acquired as well, from which interpreters can evaluate the uncertainty of the results. Web21 feb. 2024 · (1) The lithofacies are divided into four types according to the shale’s laminar structure, lithological characteristics, mineral composition, and organic matter content: thin laminar shale, thick laminar shale, massive mudstone, and argillaceous siltstone. These are divided into six subcategories. Each lithofacies has thin vertical layers. Web1 apr. 2024 · The lithofacies classification is the first step to figure out the heterogeneity of the reservoir properties. However, these four lithofacies are still not fully … ferhat kocak linked

Petrophysical core-based zonation of OW oilfield in the …

Lithofacies classification of a geothermal reservoir in …

Web22 aug. 2024 · Facies classification using unsupervised machine learning in geoscience Understanding Earth structure using K-means clustering Facies are uniform sedimentary bodies of rock which are distinguishable enough from each other in terms of physical … Web1 jan. 2024 · 1. Introduction. As an important reservoir parameter, lithofacies could provide a qualitative description of subsurface reservoirs, which may indicate the rock physical behaviors as well as the compartmentation degree (Bosch et al., 2002; Garland et al., 2012).Researchers have classified lithofacies based on different input data, such as in … hp 963xl media marktWeb2 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. ferhat kovacs

"Web1 apr. 2024 · Lithofacies classification is a process to identify rock lithology by indirect measurements. Usually, the classification is processed manually by an experienced geoscientist. " - Lithofacies classification

Lithofacies classification

Web14 dec. 2024 · Hence, karst geomorphology was reconstructed and classified using the topographical framework of paleokarst disconformities. This can be used to analyse the relationship between palaeogeomorphology and reservoirs, and associate specific palaeogeomorphological units with potential hydrocarbon reservoirs, thereby effectively … 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.

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Web8 sep. 2024 · The lithofacies classification scheme of Fengcheng shale reflects that the shale is a hybrid of organic matter, calcareous (dolomitic), felsic, clay and tuffaceous … Web10 jun. 2024 · The best team’s ML model for lithofacies classification performance in the 2016 contest achieved an average balanced F1-score of 0.6388 (Hall and Hall 2024). …

Web1 mrt. 2002 · The advantage of PDF over MLDA is that it will easily reveal types of lithofacies other than those in the training data and/or detect erroneous log measurements. In general, this study shows that a relatively simple statistical technique as MLDA is effective for classification of well log data into distinct lithofacies with characteristic physical … Web27 okt. 2024 · We performed lithofacies classification on different wireline logs using the semi-supervised algorithm. The number of pairwise constraints is a key parameter. Depending on the data structures and complexities, the optimal number of constraints varies. We tested different numbers of constraints of 100, 150, 200 and 250 pairs.

Web1 nov. 2024 · With the latter being my main field of expertise, I have conducted my research in predicting hydrocarbon-bearing units and classification of different lithofacies within the reservoir using different machine learning algorithms. I have a demonstrated history of working in the higher education industry with four years of teaching assistance … Web28 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 …

Web15 nov. 2024 · The identification and classification of lithofacies’ types are very important activities in shale oil and gas exploration and development evaluation. …

Web1 sep. 2024 · The Methodology includes two main parts: the lithofacies classification and the porosity prediction. 3.1. ANN-HMM for lithofacies classification. Artificial Neural … ferhat kisaWeb25 apr. 2024 · The process is called predictive lithofacies classification. In this study, measured discrete lithofacies distributions (based on core data) are comparatively modeled with well-log data using... ferhat kölnWeb7 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. hp 963xl multipack kompatibelWeb7 mrt. 2024 · This paper focuses on the application of semi-supervised classification in lithofacies identification. Semi-supervised classification methods are divided into … ferhat kücükWebLithofacies are classified from core on the basis of: 1. whether the lithofacies are considered reservoir or nonreservoir, 2. bitumen storage capacity (porosity and … hp 963 xl patronen kompatibelWeb3 feb. 2024 · Abstract: As a qualitative process, classification of subsurface lithofacies is very important for the characterization of hydrocarbon reservoirs. Machine learning has been a potential method to automate the prediction of this parameter based on the well-logging data. In order to incorporate the geological trend into the classification process, a … ferhat kücükerdoganWeb12 feb. 2024 · Lithofacies types and their codes: Gch: gravel, clast-supported, horizontally bedded with imbrications; Gmm: gravel, matrix-supported, massive with intraformational, rip-up mudstone chips (code also used for massive, clast-rich sandstone); Sl: low-angle cross-bedded sandstone; Sh: horizontally laminated sandstone; Sp/St: planar/trough … ferhat kocak