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Keywords: machine learning
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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...
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-2024-0077
.... Our approach begins with the use of available core data as a calibration tool for the nuclear magnetic resonance (NMR). To extract meaningful insights from the pair relation of core to NMR, we employ multiple machine learning (ML) algorithms in cascade. ML models are critical as they can analyze vast...
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-2024-0078
... presents a general framework for interpreting borehole sonic dispersion data using data-driven machine learning approaches, with a focus on logging-while-drilling (LWD) quadrupole tools. In this method, we aim to train a neural network model to directly identify the quadrupole mode and predict...
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-2024-0084
... in the well. fracture characterization rock type log analysis geological subdiscipline plane geologist fracture artificial intelligence reservoir characterization extraction clastic rock complex reservoir well logging machine learning th annual logging symposium doi sedimentary rock...
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-2024-0087
... accuracy physics variation architecture machine learning spwla-2024-0087 micp pt matching figure 9 application discrepancy spwla-2024-0087 classification SPWLA 65th Annual Logging Symposium, May 18-22, 2024 DOI: 10.30632/SPWLA-2024-0087 A PHYSICS INFORMED DEEP-LEARNING ARCHITECTURE...
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-2024-0088
... comprising different subsurface properties and acquisition parameters has been created. The results demonstrate that both—the adapted PCA and the CAE—can compress a long ET signal with a ratio sufficient for LWD operations. compression well logging machine learning logging while drilling drilling...
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-2024-0090
... machine learning sedimentary rock rock type log analysis saturation nmr confusion gmm algorithm amplitude petroleum spwla-2024-0090 th annual logging symposium spwla 65 university k-means algorithm china university calculation SPWLA 65th Annual Logging Symposium, May 18-22, 2024 DOI...
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-2024-0091
... reservoir rock type annual logging symposium saturation acquisition university nuclear magnetic resonance carbonate rock artificial intelligence machine learning spwla-2024-0091 petrofacies interpretation SPWLA 65th Annual Logging Symposium, May 18 22, 2024 DOI: 10.30632/SPWLA-2024-0091...
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-2024-0100
... with structured DLIS files from 24 basins, undergoes a preprocessing stage for machine learning suitability. A metadata dashboard is introduced, enhancing data retrieval and visualization, showcasing basin-specific and well-specific queries. The metadata database is used to create an example dataset for the Self...
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-2024-0025
... navigation artificial intelligence geologist drilling operation logging while drilling sedimentary rock geosteering rock type drilling measurement porosity spwla-2024-0025 drilling data acquisition workflow th annual logging symposium log analysis machine learning resistivity structural...
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-2024-0040
... annual logging symposium spwla 65 calculation artificial intelligence reservoir characterization annual logging symposium elemental concentration resolution feldspar well logging machine learning spectra spectrum mineral composition conversion SPWLA 65th Annual Logging Symposium, May 18...
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...

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