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1-20 of 517
Keywords: machine learning
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Proceedings Papers
Enhancing Mud Pulse Telemetry Performance in Deep Drilling Using Advanced Signal Processing and Deep Learning Techniques
Available to Purchase
Paper presented at the SPWLA 66th Annual Logging Symposium, May 17–21, 2025
Paper Number: SPWLA-2025-0001
.... These factors lead to low data rates, high error rates, and unreliable communication if using conventional MPT techniques. noise machine learning measurement while drilling drilling measurement deep learning artificial intelligence annual logging symposium pulse signal telemetry spwla 66th...
Proceedings Papers
Enhancing Electrofacies Prediction with Fuzzy Logic: A Pathway to Improved Subsurface Characterization
Available to PurchaseLuis Miguel Rojas, Manuella Yebra, Lilian S. Souza, Frederico S. De Miranda, José Roberto Barbosa Corrêa, Vinicius Veríssimo Nobrega de Oliveira
Paper presented at the SPWLA 66th Annual Logging Symposium, May 17–21, 2025
Paper Number: SPWLA-2025-0003
... geological subdiscipline spwla-2025-0003 electrofacies prediction lithology log analysis machine learning image log prediction membership function mudstone classification variation borehole image log formation reservoir characterization annual logging symposium spwla 66th transition...
Proceedings Papers
Discrete Inversion Method for Nuclear Magnetic Resonance Data Processing and Its Applications to Fluid Typing and Quantification
Available to Purchase
Paper presented at the SPWLA 66th Annual Logging Symposium, May 17–21, 2025
Paper Number: SPWLA-2025-0011
..., Gaussian decomposition, or machine learning techniques, have been developed to partition both 1D and 2D distributions for accurate quantification of pore systems and the fluids contained within. Challenges still remain, partly caused by the continuous distributions themselves, which are derived from...
Proceedings Papers
Tortuosity Assessment for Reliable Permeability Quantification Using Integration of Hydraulic and Electric Current Flow in Complex Carbonates
Available to Purchase
Paper presented at the SPWLA 66th Annual Logging Symposium, May 17–21, 2025
Paper Number: SPWLA-2025-0013
... intelligence machine learning permeability assessment resistivity measurement assessment constriction factor permeability estimate micp measurement SPWLA 66th Annual Logging Symposium, May 17-21, 2025 DOI: 10.30632/SPWLA-2025-0013 TORTUOSITY ASSESSMENT FOR RELIABLE PERMEABILITY QUANTIFICATION USING...
Proceedings Papers
Integration of Artificial Intelligence to EFDT Formation Testers
Available to PurchaseQiang Yu, Xiaodong Chu, Sun Kong, Yang Shen, Minggao Zhou, Xiaofei Qin, Yanmin Zhou, Zhongli Bao, Youxiang Zuo
Paper presented at the SPWLA 66th Annual Logging Symposium, May 17–21, 2025
Paper Number: SPWLA-2025-0015
.... Based on measurements of these sensors, the machine learning method is then utilized to obtain fluid compositions, gas-oil ratio (GOR) and phase fractions. Furthermore, application of artificial intelligence to real-time fluid identification is presented in detail based on downhole optical data measured...
Proceedings Papers
Assessment of Textural Heterogeneity Tensor Using 3D Micro-CT-Scan Images
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Paper presented at the SPWLA 66th Annual Logging Symposium, May 17–21, 2025
Paper Number: SPWLA-2025-0017
... rock variation rock texture rock class plane investigation pixel annual logging symposium spwla-2025-0017 geological subdiscipline textural feature spatial variation heterogeneity tensor well logging feature contrast machine learning rock slice square window assessment rock image...
Proceedings Papers
Data-Driven Methodologies for Enhancing Efficiency and Accuracy in Wireline Formation Testing
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Paper presented at the SPWLA 66th Annual Logging Symposium, May 17–21, 2025
Paper Number: SPWLA-2025-0018
... their diagnostic capabilities. geology geologist fluid dynamics flow in porous media well logging artificial intelligence formation testing log analysis model machine learning stabilization spwla 66 efficiency decision-making real time system spwla-2025-0018 buildup stabilization time...
Proceedings Papers
A Missing Well-Logs Generation Method Based on Generative Adversarial Networks Models
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Paper presented at the SPWLA 66th Annual Logging Symposium, May 17–21, 2025
Paper Number: SPWLA-2025-0020
.... The predictive accuracy of the model will increase through feedback iteration because the discriminator assesses the authenticity of the generated data. The results of the study show that well logs generated by the GAN have high accuracy compared to traditional machine learning methods, even in complex...
Proceedings Papers
Impact of CO 2 Storage Time on the Physicochemical and Mechanical Properties of Sandstone Formations: Insights for Long-Term CCS Applications
Available to Purchase
Paper presented at the SPWLA 66th Annual Logging Symposium, May 17–21, 2025
Paper Number: SPWLA-2025-0025
... mineral sandstone log analysis machine learning exposure reservoir characterization annual logging symposium brine interaction dindoruk well logging core analysis climate change dissolution spwla 66th engineering berea sandstone spwla-2025-0025 co -saturated brine porosity logarithmic...
Proceedings Papers
Production Estimation with Advanced Logging While Drilling Data in High Temperature Offshore Metamorphic Condensate Gas Reservoir
Available to PurchaseFangfang Wu, Peichun Wang, Lei Xiong, Renfeng Zhang, Shenzhuan Li, Xiao Gu, Jinlong Wu, Xin Zhou, Changwei Qu, Chandramani Shrivastava
Paper presented at the SPWLA 66th Annual Logging Symposium, May 17–21, 2025
Paper Number: SPWLA-2025-0027
... characterization annual logging symposium spwla 66th fracture aperture electrical image interpretation well production conductive fracture artificial intelligence drilling data acquisition machine learning reservoir type fracture and vug proportion SPWLA 66th Annual Logging Symposium, May 17-21...
Proceedings Papers
Application of Effective Permeability Calculation Method Based on Time-Dependent Inversion of Resistivity While Drilling in Tight Formations in the East China Sea
Available to PurchaseZhang Hongwei, He Yuchun, Zhang Guodong, Zhang Zhongqing, Lu Fawei, Wei Jierui, Yin Lu, Xiong Anjie, Mao Baohua, Liu Baoyin
Paper presented at the SPWLA 66th Annual Logging Symposium, May 17–21, 2025
Paper Number: SPWLA-2025-0029
... better reservoir management. geology resistivity invasion permeability flow in porous media effective permeability saturation geologist machine learning annual logging symposium fluid dynamics invasion depth different time inversion spwla 66th permeability curve artificial...
Proceedings Papers
3D Petrophysics: Applying Calibrated Anisotropic Rock Physics Model to the Acoustic Impedance and Vp Vs Ratio from Seismic Inversion to Estimate Porosity and Permeability
Available to Purchase
Paper presented at the SPWLA 66th Annual Logging Symposium, May 17–21, 2025
Paper Number: SPWLA-2025-0035
... characterization moduli equation permeability clastic rock phyllosilicate log analysis geological subdiscipline estimation seismic data annual logging symposium geologist rock type well logging machine learning elastic moduli total porosity petrophysics effective elastic moduli hydrocarbon...
Proceedings Papers
High-Resolution Petrophysics Through the Integration of NMR Logs and Acoustic Image Logs
Available to PurchaseLucas Abreu Blanes de Oliveira, Gabriel do Nascimento Freitas, Leonardo Gonçalves, Erica Kato Pacheco Ferraz
Paper presented at the SPWLA 66th Annual Logging Symposium, May 17–21, 2025
Paper Number: SPWLA-2025-0039
... logging log analysis sedimentary rock salt tectonics porosity machine learning total porosity geological subdiscipline spwla-2025-0039 resolution equation structural geology artificial intelligence reservoir geomechanics amplitude permeability carbonate impedance reservoir...
Proceedings Papers
Evaluation of Resistivity and Saturation of Bitumen-Bearing Fracture-Caved Carbonate Reservoir Based on Digital Core Technology
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Paper presented at the SPWLA 66th Annual Logging Symposium, May 17–21, 2025
Paper Number: SPWLA-2025-0040
... on CT scanning technology, combined with artificial thresholding and deep machine learning methods, a rock skeleton-bitumen-pore interpretation segmentation technique was established for the first time, effectively establishing two types of digital core models: pore type and fracture type in fracture...
Proceedings Papers
Didit Putra Kusuma, Umer Farooq, Hiroki Montani, Jiahong Li, Jawaher Alsabeai, Latifa Al Shamsi, Suad Alshamsi, Lu Lu, Nozomu Yoshida, Muhammad Nur Ali Akbar
Paper presented at the SPWLA 66th Annual Logging Symposium, May 17–21, 2025
Paper Number: SPWLA-2025-0041
... carbonate reservoir complex reservoir dolomite machine learning spwla 66th dissolution pore structure artificial intelligence geological subdiscipline porosity micp data permeability prediction sedimentary geology core analysis reservoir characterization annual logging symposium spwla-2025...
Proceedings Papers
Machine Learning-Driven Permeability Prediction & Improved Reservoir Characterization in Heterogeneous Sandstone Formation of KG Basin
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Paper presented at the SPWLA 66th Annual Logging Symposium, May 17–21, 2025
Paper Number: SPWLA-2025-0047
... ABSTRACT Estimating permeability and reservoir characterization in heterogeneous reservoirs like the Mandapeta Formation in the Krishna Godavari (KG) Basin poses significant challenges due to limited core and NMR data. This study addresses these challenges using two machine-learning approaches...
Proceedings Papers
Automated Depth Alignment of Well Logs Using Siamese Neural Networks
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Paper presented at the SPWLA 66th Annual Logging Symposium, May 17–21, 2025
Paper Number: SPWLA-2025-0048
... (Torres Caceres et al., 2022). While machine learning offers alternatives, supervised approaches demand large labeled datasets, and unsupervised clustering requires extensive post-processing, introducing potential errors (Acharya and Fabian, 2024b; Acharya et al., 2025). This study proposes a Siamese...
Proceedings Papers
Universal Data-Driven Permeability Estimation by Connecting MICP Analytics with Big Data
Available to PurchaseOriyomi Raheem, Misael M. Morales, Wardana Saputra, Carlos Torres-Verdín, Craig Phillips, Chicheng Xu
Paper presented at the SPWLA 66th Annual Logging Symposium, May 17–21, 2025
Paper Number: SPWLA-2025-0049
... extreme-value (GEV) CDF-PDF. Optimized fitting parameters from GEV, including location ( μ ), scale ( σ gev ), and weighting constraints, served as inputs for machine-learning methods to estimate permeability. Ridge regression, random forests, and artificial neural networks (ANNs) were applied...
Proceedings Papers
A Monitoring and Analysis Platform for Real Time and Autonomous Formation Evaluation and Machine Learning Deployment of Multiple Concurrent Assets
Available to Purchase
Paper presented at the SPWLA 66th Annual Logging Symposium, May 17–21, 2025
Paper Number: SPWLA-2025-0050
... production stage platform that automatizes model parameter selection of complex petrophysical models as targets are drilled, solving for the full non-linear system of equations as customary in modern formation evaluation practice. Additionally, our platform also deploys pretrained Machine Learning models...
Proceedings Papers
Revolutionizing Well Integrity: Temporal Deep Learning for Precise and Continuous Axial Groove Detection
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Paper presented at the SPWLA 66th Annual Logging Symposium, May 17–21, 2025
Paper Number: SPWLA-2025-0051
...-consuming and rely heavily on the expertise of analysts, which can lead to variability in results. Recent advances in AI have enabled deep learning models to automate corrosion detection. Al-Khalidi and Abdulsadda (2024) examine efficient machine learning techniques that lower operational costs. However...
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