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Keywords: machine learning
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Proceedings Papers

Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0092
... spwla-2024-0092 spwla 65 discontinuity injectite inversion log analysis machine learning resistivity regularization workflow reservoir mapping SPWLA 65th Annual Logging Symposium, May 18-22, 2024 DOI: 10.30632/SPWLA-2024-0092 HIGH-RESOLUTION 3D RESERVOIR MAPPING AND GEOSTEERING USING VOXEL...
Proceedings Papers

Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0024
... spwla-2024-0024 geology neural network log analysis well logging drilling data acquisition geologist artificial intelligence drilling measurement machine learning frequency algorithm attenuation prediction resistivity inversion regression reservoir characterization spwla 65...
Proceedings Papers

Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0028
... generally addressed for sedimentary lithologies (e.g., claystone, sandstone etc.); it requires a sound understanding of wellbore context and log measurements. Recent applications with Machine Learning (ML) have shown that either classification or regression methods can deliver accurate results in some...
Proceedings Papers

Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0032
... well logging production control th annual logging symposium production monitoring machine learning spwla-2024-0032 rock type reservoir surveillance reservoir geomechanics geological subdiscipline spwla 65 neuron karstification indicator contribution representation correspond anisotropy...
Proceedings Papers

Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0041
...-permeability relationships. This permeability model is compared to machine learning (ML) permeability using wireline logs to provide additional data in wells where core is unavailable. Absolute permeabilities are converted to gas effective permeability using unsteady state relative permeability testing...
Proceedings Papers

Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0042
... structural geology rock type geochemistry machine learning multiphysic inversion interpretation permittivity sensitivity invasion evaluation th annual logging symposium application dispersion annual logging symposium workflow spwla 65 ABSTRACT Numerous comprehensive well logging suites...
Proceedings Papers

Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0046
... structural geology artificial intelligence machine learning correlation algorithm standardization depth matching reservoir characterization spwla-2024-0046 procedure university brazil core analysis th annual logging symposium crossplot geological subdiscipline plug automatic approach spwla...
Proceedings Papers

Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0047
... Machine Learning (ML) techniques for thin sections characterization, with an emphasis on porosity, quantifying the percentage of pores and the mineral of calcite, dolomite, and silica grains to correlate this data with wireline measurements from the well, such as ECS (Elemental Capture Spectroscopy...
Proceedings Papers

Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0049
... efficiency and profitability by reducing time consumption.. drilling operation deep learning geology artificial intelligence orientation algorithm machine learning sinusoid bedding geologist neural network th annual logging symposium borehole enhanced ai-driven automatic dip picking...
Proceedings Papers

Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0055
... geological subdiscipline permeability estimation spwla-2024-0055 machine learning th annual logging symposium conductivity cec modeling SPWLA 65th Annual Logging Symposium, May 18-22, 2024 DOI: 10.30632/SPWLA-2024-0055 PHYSICS-BASED PROBABILISTIC PERMEABILITY PREDICTION IN THIN-LAYERED RESERVOIRS...
Proceedings Papers

Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0057
... guided-waves that still interfere with the weak reflections. In addition, deep learning methods encounter limitations due to the scarcity of labels in field applications. In this paper, we propose a novel unsupervised machine learning approach to separate guided waves and weak reflections based...
Proceedings Papers

Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0065
... structural geology drilling operation rock type well logging flow in porous media machine learning classification log analysis information geological subdiscipline spwla-2024-0065 evaluation carbonate rock sedimentology artificial intelligence reservoir characterization fabric spwla 65...
Proceedings Papers

Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0068
... in capturing the heterogeneity of the reservoir and the efficiency of machine learning algorithms in rapidly processing large datasets. carbonate rock rock type log analysis geological subdiscipline sedimentary rock deep learning artificial intelligence reservoir characterization spwla 65 ptar...
Proceedings Papers

Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0071
... spwla-2024-0071 machine learning spwla 65 university exploration engineering lwd logging while drilling drilling data acquisition algorithm misfit iteration application rock type well logging inversion algorithm reservoir characterization th annual logging symposium trajectory...
Proceedings Papers

Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0005
... logging production logging log analysis production control reservoir characterization spwla-2024-0005 operation unconventional reservoir th annual logging symposium spwla 65 application artificial intelligence data mining machine learning annual logging symposium effectiveness...
Proceedings Papers

Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0008
... information geological subdiscipline artificial intelligence machine learning sedimentary rock mineral reservoir geomechanics pattern recognition registration storage spatial information th annual logging symposium porosity workflow boise sandstone resolution spwla 65 university spwla-2024...
Proceedings Papers

Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0018
... proposed a workflow based on object-based image analysis (OBIA) to analyze digital cuttings images, which is driven by geology and enabled by machine learning and computer vision techniques. The key challenge in lithology estimation from digital cuttings images is the visual variety of rocks; it is known...
Proceedings Papers

Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0019
... artificial intelligence production monitoring machine learning spwla 65 classification structural geology flow in porous media saturation reservoir surveillance core analysis geological subdiscipline porosity lucia geologist sedimentology sedimentary geology log analysis reservoir...
Proceedings Papers

Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0020
... augmentation, and machine learning modeling that serves as a proof-of-concept of the application. A suite of machine learning algorithms, including regularized linear regression models, are evaluated, and a comprehensive comparison of performance, generalization capability, and robustness of the baseline...

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