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Keywords: artificial intelligence
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Journal Articles
Petrophysics 63 (05): 591–603.
Paper Number: SPWLA-2022-v63n5a2
Published: 01 October 2022
... 1 10 2022 Copyright 2022, Society of Petrophysicists & Well Log Analysts structural geology pvt measurement oil shale shale gas reservoir characterization complex reservoir coefficient equation of state artificial intelligence upstream oil & gas reservoir simulation...
Journal Articles
Petrophysics 63 (04): 488–505.
Paper Number: SPWLA-2022-v63n4a1
Published: 02 August 2022
... viscosity fluid pressure gradient agreement compressibility formation testing reservoir surveillance reservoir characterization artificial intelligence production control gradient composition fraction moduli methane doi PETROPHYSICS, VOL. 63, NO. 4 (AUGUST 2022); PAGES 488 505; 17 FIGURES...
Journal Articles
Petrophysics 63 (04): 506–518.
Paper Number: SPWLA-2022-v63n4a2
Published: 02 August 2022
... Copyright 2022, Society of Petrophysicists & Well Log Analysts deep learning neural network upstream oil & gas drilling operation logging while drilling resistivity lwd geosteering reservoir navigation artificial intelligence drilling data acquisition trajectory application...
Journal Articles
Petrophysics 63 (04): 534–548.
Paper Number: SPWLA-2022-v63n4a4
Published: 02 August 2022
... 3 2022 2 8 2022 2 8 2022 Copyright 2022, Society of Petrophysicists & Well Log Analysts artificial intelligence realization bayesian inference machine learning porosity log analysis database upstream oil & gas well logging probability reservoir...
Journal Articles
Petrophysics 63 (04): 549–565.
Paper Number: SPWLA-2022-v63n4a5
Published: 02 August 2022
... 2022, Society of Petrophysicists & Well Log Analysts upstream oil & gas structural geology log analysis facies well logging artificial intelligence machine learning pearl river mouth basin resistivity fracture reservoir characterization porosity interpretation den doi...
Journal Articles
Petrophysics 63 (03): 277–289.
Paper Number: SPWLA-2022-v63n3a1
Published: 01 June 2022
... artificial intelligence immobile hydrocarbon conocophillips contact angle integrated reservoir characterization hydrocarbon workflow petrophysics june 2022 machine learning well logging water saturation nmr unsupervised learning june 2022 signature nuclear magnetic resonance university...
Journal Articles
Petrophysics 63 (03): 442–453.
Paper Number: SPWLA-2022-v63n3a10
Published: 01 June 2022
... data should be better explored to improve the accuracy of permeability estimates. 29 9 2021 10 12 2021 13 12 2021 1 6 2022 1 6 2022 Copyright 2022, Society of Petrophysicists & Well Log Analysts core analysis machine learning artificial intelligence enhanced...
Journal Articles
Petrophysics 63 (03): 290–299.
Paper Number: SPWLA-2022-v63n3a2
Published: 01 June 2022
... sands. This paper describes how the NMR, together with machine learning, has enabled a complex tight gas field to be developed. Copyright 2022, Society of Petrophysicists & Well Log Analysts machine learning evolutionary algorithm expert system artificial intelligence annual logging...
Journal Articles
Journal Articles
Petrophysics 63 (03): 352–367.
Paper Number: SPWLA-2022-v63n3a5
Published: 01 June 2022
... and permeability assessment than typical T 2 - or T 1 -cutoff methods. Copyright 2022, Society of Petrophysicists & Well Log Analysts 24 9 2021 28 10 2021 29 10 2021 1 6 2022 1 6 2022 reservoir characterization artificial intelligence log analysis shale gas machine...
Journal Articles
Petrophysics 63 (03): 389–403.
Paper Number: SPWLA-2022-v63n3a7
Published: 01 June 2022
... real time system log analysis artificial intelligence lwd nmr data wl nmr data logging while drilling annual logging symposium objective petrophysics june 2022 bin processing transaction well logging upstream oil & gas nmr log nmr data june 2022 lwd nmr tool obmf invasion...
Journal Articles
Journal Articles
Journal Articles
Petrophysics 63 (02): 218–236.
Paper Number: SPWLA-2022-v63n2-a5
Published: 01 April 2022
... oil & gas oil-based mud petrophysics april 2022 methane mass solubility artificial intelligence drilling fluid formulation viscosity april 2022 oil-based drilling fluid methane solubility experimental investigation oil-based mud sample PETROPHYSICS, VOL. 63, NO. 2 (APRIL 2022); PAGES...
Journal Articles
Petrophysics 63 (02): 256–269.
Paper Number: SPWLA-2022-v63n2-a7
Published: 01 April 2022
... 2022 Copyright 2022, Society of Petrophysicists & Well Log Analysts reservoir characterization log analysis well logging wellbore integrity reservoir geomechanics artificial intelligence upstream oil & gas experiment drill cuttings logging data wellbore design drilling...
Journal Articles
Petrophysics 63 (01): 12–34.
Paper Number: SPWLA-2022-v63n1a2
Published: 01 February 2022
... & Well Log Analysts machine learning artificial intelligence reservoir characterization neural network log analysis deep learning february 2022 euclidean distance correlation well 16 pearson correlation petrophysics february 2022 well logging upstream oil & gas automated well-log...
Journal Articles
Petrophysics 63 (01): 35–60.
Paper Number: SPWLA-2022-v63n1a3
Published: 01 February 2022
... measurement while drilling upstream oil & gas february 2022 dtw petrophysics february 2022 data access depth matching drilling data acquisition artificial intelligence cobol reduced turnaround time metadata cross correlation data mining big data clojure well 16 gamma ray log correction...
Journal Articles
Petrophysics 62 (06): 585–613.
Paper Number: SPWLA-2021-v62n6a1
Published: 01 December 2021
... in and multidimensional. The acquired data can be in many artificial intelligence (AI), big data, the internet of things different formats, including continuous and discrete numeric (IoT), and machine learning have increased significantly. values, text values, and multidimensional arrays. Well-log Developments have...
Journal Articles
Journal Articles
Petrophysics 62 (06): 636–650.
Paper Number: SPWLA-2021-v62n6a4
Published: 01 December 2021
..., A., 2015, Very Deep Convolutional artificial intelligence and deep-learning-based solutions to Networks for Large-Scale Image Recognition, Proceedings, engineering problems at various scales. He received his PhD 3rd International Conference on Learning Representations, in electrical engineering and a PhD...

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