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121
Identifying the lithologies and thicknesses of coal seam roofs and floors based on multiparameter logging of boreholes
Published 2024-12-01“…BackgroundIn the process of coal mining, effective exploration methods for stratigraphic characteristics are crucial to underground operations. …”
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122
Multi-scale intelligent fusion and dynamic validation for high-resolution seismic data processing in drilling
Published 2025-06-01Subjects: “…high-resolution seismic data processing…”
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123
Analysis and Discussion of Some Key Technical Problems for LWD Ultra-Deep Electromagnetic Resistivity Logging
Published 2023-08-01“…The above discussion and analyses aims to give some ideas or views to the technical personnel engaged in the research and development of LWD electromagnetic imaging logging tools and data processing.…”
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124
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125
Getting rid of the Chi-square and Log-likelihood tests for analysing vocabulary differences between corpora
Published 2018-01-01“…Log-likelihood and Chi-square tests are probably the most popular statistical tests used in corpus linguistics, especially when the research is aiming to describe the lexical variations between corpora. …”
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Application of shale oil 2D NMR logging evaluation in Huazhuang area of Gaoyou Sag
Published 2024-10-01“…These characteristics complicate the accurate evaluation of pore and fluid types using conventional well logging techniques. However, two-dimensional nuclear magnetic resonance(2D NMR) logging presents distinct advantages in fluid identification. …”
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128
Novel Automatic Classification Method for Geological Structures in Carbonate Formations Based on Electrical Imaging Logging
Published 2025-02-01“…In the processing of electrical imaging logging data for carbonate formations, it is challenging to distinguish mudstone laminae, natural fractures, induced fractures, and vugs due to their similar resistivities and overlapping occurrences. …”
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129
A Efficient Drilling Fluid Loss Location Identification Method Based on Temperature and Flow Logging
Published 2023-10-01“…By optimizing the string combination of logging tools, designing fast wellhead tools and improving the technological process, the combined logging tool can be used to carry out dynamic and static measurement in open hole wells to realize efficient identification of drilling fluid loss location. …”
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130
Geophysical Log Responses and Predictive Modeling of Coal Quality in the Shanxi Formation, Northern Jiangsu, China
Published 2025-06-01“…In contrast, ash yield, volatile matter, and total sulfur correlate positively with these logging parameters. These trends are governed by coalification processes, lithotype composition, reservoir physical properties, and the types and mass fractions of minerals. …”
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131
Log‐Periodic Power Law Singularities in Landslide Dynamics: Statistical Evidence From 52 Crises
Published 2025-08-01“…We propose that such intermittent rupture phenomena can be described by a log‐periodic power law singularity model. Amounting mathematically to a generalization of the power law exponent from real to complex numbers, this model captures the partial break of continuous scale invariance to discrete scale invariance that is inherent to the intermittent dynamics of damage and rupture processes in heterogeneous geomaterials. …”
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132
Study on the Influence of Logging Cable Impedance on Transmit Current Waveform in Borehole Induced Polarization Method
Published 2023-08-01“…After establishing the high frequency model and low frequency model of the kilometer-level cable, the distribution parameters of the cable are deduced, and the 3 000meter logging cable is tested and analyzed by impedance analyzer and field test. …”
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133
Outlier Detection in VPN Authentication Logs for Corporate Computer Networks Access using CRISP-DM
Published 2024-12-01“…This study aims to develop a model for detecting anomalous activities within authentication log data obtained from VPN usage. The dataset comprises log entries from September to November 2022, totaling 36,807 records, selected via a systematic sampling approach. …”
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134
Preliminary study of Acacia dealbata logs for use in construction: Visual characterization and non-destructive testing
Published 2025-04-01“… This study provides a preliminary mechanical characterization of minimally processed Acacia dealbata logs to assess their potential valorisation as a by-product of invasive species management. …”
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135
Application of Log-Type Estimators for Addressing Non-Response in Survey Sampling Using Real Datasets
Published 2025-03-01“…There is a difficulty in survey sampling when non-response (NR) occurs in the process of estimating the population parameters. This study examines the effectiveness of combined and separate log-type estimators when using bivariate auxiliary information when NR occurs in data. …”
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136
Analysis of Multifractal Characteristics and Detrended Cross-Correlation of Conventional Logging Data Regarding Igneous Rocks
Published 2025-03-01“…Against this backdrop, this study deploys advanced multifractal detrended fluctuation analysis (MF-DFA) to comprehensively analyze key parameters within igneous rock logging data, including natural gamma-ray logging, resistivity logging, compensated neutron logging, and acoustic logging. …”
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138
Evaluation of Coalbed Methane Content by Using Kernel Extreme Learning Machine and Geophysical Logging Data
Published 2022-01-01“…At the same time, the CBM content model constructed by the KELM method differs for different blocks, coal seams at different depths, and different response ranges of geophysical logging data. The construction of a CBM content prediction model using the KELM method and logging curves is an effective means of characterizing CBM resources, and the model construction process and evaluation criteria studied in this paper can be used to help other blocks evaluate the CBM content, providing guidance for further exploration and development of CBM fields with practical application.…”
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139
Machine learning-based prediction of physical parameters in heterogeneous carbonate reservoirs using well log data
Published 2025-06-01“…This study explores the application of machine learning techniques for predicting permeability, porosity, and flow zone indicator (FZI) in carbonate reservoirs using well log data, aiming to overcome the limitations of traditional empirical methods. …”
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140
Convolutional Versus Large Language Models for Software Log Classification in Edge-Deployable Cellular Network Testing
Published 2025-01-01“…Software logs generated by sophisticated network emulators in the telecommunications industry, such as VIAVI TM500, are extremely complex, often comprising tens of thousands of text lines with minimal resemblance to natural language. …”
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