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 [ … Web13 jun. 2024 · The well log interpretations that were considered for lithofacies classification and permeability modeling are neutron porosity, shale volume, and water saturation as a function of depth;...

Performance evaluation of machine learning-based 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. Web9 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 … farberware 2 slice toaster extremely hot

How to Use Unsupervised Clustering on Well Log Data with Python

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. Web18 nov. 2024 · Classification of shale lithofacies using (A) content of total organic carbon (rich, more than 3 wt.%; moderate, 1–3 wt.%; low, less than 1 wt.% (modified from Allix … 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. corporate floors grapevine tx

Data-Driven Algorithms for Image-Based Rock Classification and ...

Well-log facies classification using an active semi-supervised ...

WebThe objective of this work is to use AVO intercept and gradient, in conjunction with well‐log petrophysics analysis, to discriminate and classify lithofacies in a shaly sand reservoir. … Web22 sep. 2024 · Integrating Component Analysis & Classification Techniques for Comparative Prediction of Continuous & Discrete Lithofacies Distributions Offshore Technology Conference May 4, 2015 farberware 2 quart saucepanWeb13 apr. 2024 · Robust Unilateral Alignment for Subsurface Lithofacies Classification Abstract: Subsurface lithofacies classification refers to the way of establishing a classifier on the interpreted well logging data to predict the lithofacies types corresponding to the uninterpreted ones. farberware 28 piece set

"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 … " - Lithofacies classification

Lithofacies classification

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 … 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 …

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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 ... 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.

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. WebThe 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…

WebIn this tutorial, we will demonstrate how to use a classification algorithm known as a support vector machine to identify lithofacies based on well-log measurements. A … Web14 apr. 2005 · The electrofacies-based classification involves identifying clusters in the well-log response that reflect "similar" minerals and lithofacies within the logged interval. This statistical procedure is straightforward and inexpensive. However, identification of lithofacies and HFUs relies on core-data analysis and can be expensive and time …

Web27 aug. 2024 · Summary Classification of different lithofacies and petrotypes is one of the main objectives of modern quantitative seismic interpretation. In this study, we present preliminary results of the … Expand. 20. PDF. Save. Alert. Investigation of the random forest framework for classification of hyperspectral data.

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. corporate flu vouchers bootsWeb10 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). … corporate flu vouchers irelandWeb13 jun. 2024 · The well log interpretations that were considered for lithofacies classification and permeability modeling are neutron porosity, shale volume, and water … farberware 2.5l air fryerWebWe present a technique for lithofacies classification of well-log data using an active semi-supervised algorithm. This method considers both the input of domain experts and the distribution characteristics of well-log properties. corporate flu voucher schemeWeb22 okt. 2014 · Bottom: Lithofacies classification result centered at í µí±¡ = 1377ms. Blue curves are the boundary of Forestburg Limestone from structural interpretation. corporate flunky crosswordWeb1 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 … corporate flu vaccinations bootsWeb1 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 … farberware 2-4 cup coffee percolator