Numerical Simulation of Time-Varying Characteristics in a High-Permeability Sandstone Reservoir: A Case of Gaoqian Southern Area by Hui Xu, Guofeng Cheng, Nannan Liu, Lizhi Wang, Zhenghuai Guo, Xiang Wang, Xiangji Dou, Juan Li, Shangping Chen, Xing Shi

“…In addition, this paper established the equations of water injection, permeability, irreducible water saturation, residual oil saturation, and oil-water relative permeability curve coefficient and establishes the initial permeability model with the well data before water flooding. The logging interpretation results of development wells in the process of water flooding as verification data were used, and the relative error of permeability far lower than the general requirement of permeability error within an order of magnitude was less than 30%, which verified the rationality of the method.…”
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Formation and Evolution of Multi-Genetic Overpressure and Its Effect on Hydrocarbon Accumulation in the Dabei Area, Kuqa Depression, Tarim Basin, China by Chenxi Wen, Zhenliang Wang

“…The formation and quantification of multi-genetic overpressure were evaluated based on well-logging data and basin simulation technology (Ansys Workbench). …”
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Super-resolution reconstruction technology for full-diameter core nuclear magnetic resonance scanning data: a global non-negative least squares-based approach by Yingying MA, Zebo PENG, Jingzhi CHEN, Fei WU, Xin NIE, Zhongshu LIAO, Gong ZHANG

“…Practical applications show that the high-resolution processed NMR porosity from well logging aligns more closely with gas-filled porosity. …”
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Proactive Complaint Management in Public Sector Informatics Using AI: A Semantic Pattern Recognition Framework by Marco Esperança, Diogo Freitas, Pedro V. Paixão, Tomás A. Marcos, Rafael A. Martins, João C. Ferreira

“…Leveraging real-world interaction logs from a public sector agency, the system harmonizes heterogeneous complaint narratives, uncovers latent issue patterns, and enables early detection of technical and usability problems. …”
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Characteristics and favorable area optimization of ultra-deep high-pressure basement reservoirs: A case study of Kun 2 block in Kunteyi gas reservoir, Qaidam Basin by CAO Hui, ZHANG Guoqing, XU Li, LI Zhexiang, WANG Haicheng, ZHAO Changyang, FEI Ying

“…The prediction of maximum likelihood attributes revealed that high-angle fractures were mainly located on the upthrown side of faults, exhibiting an 85% consistency rate with imaging logging results. Additionally, the structure tensor-acoustic impedance inversion revealed that zones of dissolution pore development aligned closely with fault orientations, thereby validating the controlling mechanism of fault activity on dissolution process. (4) Based on reservoir classification and evaluation criteria, along with seismic prediction and dynamic production data, this study proposed a reservoir development model of “fault-controlled fractures, fracture-controlled pores” for the first time, indicating structurally high positions on upthrown side as the core zones of natural gas accumulation. …”
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Combined mechanistic and machine learning method for construction of oil reservoir permeability map consistent with well test measurements by Evgenii Kanin, Alsu Garipova, Sergei Boronin, Vladimir Vanovskiy, Albert Vainshtein, Andrey Afanasyev, Andrei Osiptsov, Evgeny Burnaev

“…We introduce a novel method for estimating the spatial distribution of absolute permeability in oil reservoirs, consistent with well logging and well test measurements. The primary objective is to create a permeability map, incorporating the well test interpretation results and achieving hydrodynamic similarity to the actual permeability distribution around each well. …”
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Trajectory-Based Road-Geometry and Crash-Risk Estimation with Smartphone-Assisted Sensor Networks by Dongwook Lee, Ilmin Kim, Minsoo Hahn

“…As mobile devices came into wide use, it became practical to collect travel data in personal logs. Many studies have been conducted to extract meaningful information from this trend. …”
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Joint Operation Technology of Directional Bridge Plug and Perforation for Horizontal Wells Based on Inclination Angle Detector by TANG Ke, FANG Ming

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Lithofacies controls on gas accumulation in tight sandstone reservoirs: insights from the Permian Shihezi formation, south-western Ordos Basin, China by Xiaoming Wu, Xiaoming Wu, Zhongbin Chen, Zhicheng Shen, Yanxin Bao, Zheng Lan, Puxin Liu, Luxing Dou, Zhigang Wen

“…By utilizing core samples, well logging data, and laboratory analysis, the basic characteristics of reservoir lithofacies were first analyzed. …”
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Influences of Human Presence on the Indoor Air Quality of Educational Institutions: Concurrent Multipollutant Sensing Approach by Rajib Das, Aritra Acharyya, Shubhankar Majumdar

“…Over seven days in a laboratory, we varied air-conditioning and ventilation settings while the AQMS logged pollutant levels every minute. Spearman rank-order analysis showed strong positive correlations between occupancy and CO2, total volatile organic compounds (VOCs), and gas-sensor resistance, but no significant link with CO, NH3, or NO2. …”
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Distribution Pattern and Controlling Factors of Reef–Shoal Reservoirs on Both Sides of the Intra-Platform Depression in the Changxing Formation, Wolonghe-Yangduxi Area, Sichuan Bas... by Yuhang Bi, Zhonggui Hu, Saijun Wu, Jiuzhen Hu, Weijie Tong, Min Yao

“…To clarify its evolution, genetic mechanisms, and distribution patterns, this study integrates data from profiles, cores, thin sections, and well logs. It reveals the distribution mechanisms of the bio-reef and shoal reservoirs in the Changxing Formation and discusses the controlling effects of tectonic, sedimentary, and diagenetic processes on reservoir development. …”
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Consequences of habitat fragmentation on genetic structure of Chamaedorea alternans (Arecaceae) palm populations in the tropical rain forests of Los Tuxtlas, Veracruz, Mexico by Juan Manuel Peñaloza-Ramírez, Bernardo Aguilar-Amezquita, Juan Núñez-Farfán, Nidia Pérez-Nasser, Ana Luisa Albarrán-Lara, Ken Oyama

“…C. alternans has been subject to a pronounced isolation of trees as a product of logging, thus raising inbreeding. Bayesian clustering show a trend towards an increased structuring over the course of generations but also, indicates that populations have recently gone through a bottleneck. …”
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Fictional videogames as framing devices by Julián Gutiérrez Carrera

“…In particular, I found that written communication through an MMO’s chat box can provide an alibi by turning seemingly serious statements into jokes; that acts embedded in the process of engaging with MMOs, like logging out and the consequent disappearance of a character, can serve as a communicative tool denoting finality; and that game design features meant to bring players together, like guilds and factions, can enable player authenticity and openness by attracting like-minded players, for better or for worse. …”
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Morphological Characteristics of Hydraulic Flushing under Multifactor Coupling and Its Enlightenment by Xiao Liu, Tianxiang Jing, Dequan Xuan, Shixiong Hu, Yong Li, Sen Xu

“…In order to verify the accuracy of the hole shape, the YZD18.5 video imaging logging tool for mine lateral resistivity is used to collect and analyze the shape data of the hydraulic flushing hole, and the hole section is drawn, which is basically consistent with the theoretical derivation of the hydraulic flushing hole shape. …”
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Forest Governance Approaches for Conservation and Rural Livelihood in Communities of Enugu and Cross River States by Chiebonam Justina Ayogu, Chinasa Sylvia Onyenekwe, Onyinyechi Ifeanyichukwu Nnadi, Rosemary Nnedinso Arua, Remigius Ikechukwu Ozioko

“…Findings revealed that the Cross River National Park (CRNP) adopted a zero-encroachment policy—prohibiting hunting (83.0%), logging (70.6%), farming (28.9%), and bush burning (14.4%)—which significantly restricted local access to forest-based livelihoods. …”
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Sedimentary Model of Sublacustrine Fans in the Shahejie Formation, Nanpu Sag by Zhen Wang, Zhihui Ma, Lingjian Meng, Rongchao Yang, Hongqi Yuan, Xuntao Yu, Chunbo He, Haiguang Wu

“…To address the impact of faults on sublacustrine fan formation and spatial distribution within the study area, this study integrated well logging, laboratory analysis, and 3D seismic data to systematically analyze sedimentary characteristics of sandbodies from the first member of the Shahejie Formation (Es₁) sublacustrine fans, clarifying their planar and cross-sectional distributions. …”
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Controlling factors for shale gas enrichment and their implications for favorable exploration areas: Insights from the Wufeng-Longmaxi Formations, Southern Sichuan, China. by Zhenwei Zou, Jinghao Fu, Hu Li, Yongyang Liu, Chenglin Zhang, Ziqiang Xia, Cunhui Fan

“…This model resolves the "geochemical preservation paradox" through dynamic process coupling, establishing a transformative paradigm for deep shale gas exploration in thrust-fold terrains.…”
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Neoproterozoic fluvial succession of the Ramgiri Formation, Pranhita–Godavari Valley, India: implications for sheet-braided versus deep channelized models of pre-vegetation fluvial... by Tapan Chakraborty, Suchana Taral

“…In this study, we explore the Neoproterozoic Ramgiri Formation to (i) understand the surface processes in a pre-vegetation fluvial system, (ii) examine the existence of sheet-braided or channelized architecture in this succession, and (iii) identify possible process controls that might have resulted in either a sheet braided or channelized architecture in these deposits. …”
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Study on Connectivity of Fractured-Vuggy Marine Carbonate Reservoirs Based on Dynamic and Static Methods by Yintao Zhang, Chengyan Lin, Lihua Ren, Chong Sun, Jing Li, Zhicheng Wang, Guojin Xu

“…Dynamic connectivity evaluation was carried out by combining the dynamic time warping (DTW) algorithm with the analytic hierarchy process (AHP). Well logging, core analysis, and cast-thin section experiments were utilized to determine the types of reservoir spaces. …”
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Deep Learning for Ore Haulage Monitoring: Vibrational Analysis Using a VGG16 Network by Artur Skoczylas, Pawel Stefaniak, Sergii Anufriiev, Wioletta Koperska

“…Automated detection of work cycles in underground ore haulage is crucial for optimizing operational efficiency and minimizing costs, yet existing methods often rely on manual logging or basic telematics, which can be inefficient and prone to errors. …”
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