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Keywords: Artificial Intelligence
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Proceedings Papers

Paper presented at the SPWLA 28th Formation Evaluation Symposium of Japan, September 13–14, 2023
Paper Number: SPWLA-JFES-2023-J
... of artificial intelligence (AI) automatic facies analysis were conducted using different configurations on different depositional environments (e.g., Suarez-Rivera et al, 2012 and 2013; Jain et al., 2019). Yang et al. (2020 and 2023) proposed a new automatic facies analysis method which combined both borehole...
Proceedings Papers

Paper presented at the SPWLA 28th Formation Evaluation Symposium of Japan, September 13–14, 2023
Paper Number: SPWLA-JFES-2023-U
... logs used in the CbML process. The deliverables for the study included the predicted CbML permeability and rock classification along with the NMR facies and results from the NMR pore-to-production workflow. CONCLUSIONS Artificial intelligence and machine learning are emerging as powerful tools to aid...
Proceedings Papers

Paper presented at the SPWLA 28th Formation Evaluation Symposium of Japan, September 13–14, 2023
Paper Number: SPWLA-JFES-2023-E
... experience in carbonate, sandstone and unconventional oil and gas reservoirs. -9- sedimentary rock upstream oil & gas reservoir geology rock type log analysis complex reservoir artificial intelligence geologist asia government china government porosity tight carbonate reservoir chloride...
Proceedings Papers

Paper presented at the SPWLA 28th Formation Evaluation Symposium of Japan, September 13–14, 2023
Paper Number: SPWLA-JFES-2023-S
.... upstream oil & gas solver core analysis geology artificial intelligence machine learning japan government mineral log analysis 28th formation evaluation symposium numerical solver multi-salinity analysis synthetic data equation ffri measurement geologist asia government well logging...
Proceedings Papers

Paper presented at the SPWLA 28th Formation Evaluation Symposium of Japan, September 13–14, 2023
Paper Number: SPWLA-JFES-2023-F
... the relationship with gas test production as input, but also can be used to calibrate seismic data to find out the dominant seismic facies. upstream oil & gas asia government geologist reservoir sedimentary rock structural geology china government artificial intelligence effectiveness dolomite...
Proceedings Papers

Paper presented at the SPWLA 27th Formation Evaluation Symposium of Japan, September 14–15, 2022
Paper Number: SPWLA-JFES-2022-K
... unosaki coast reservoir characterization ruggedness artificial intelligence coast neural network resolution tri japan engineering nogita coast university spatial resolution outcrop change correlation resource engineering formation evaluation symposium roughness kyushu university...
Proceedings Papers

Paper presented at the SPWLA 27th Formation Evaluation Symposium of Japan, September 14–15, 2022
Paper Number: SPWLA-JFES-2022-M
... injection saturation characterization upstream oil & gas machine learning chang 8 triassic chang 8 university petrochina research institute artificial intelligence formation evaluation symposium ansai region development Copyright 2022, held jointly by the Japan Formation Evaluation...
Proceedings Papers

Paper presented at the SPWLA 26th Formation Evaluation Symposium of Japan, September 30–October 7, 2021
Paper Number: SPWLA-JFES-2021-E
... & gas flow in porous media drilling operation machine learning artificial intelligence fluid dynamics cored well st october th september permeability 26th formation evaluation symposium nmr rock type japan 30 iraq relative proportion prediction permeability model th october 2021 new...
Proceedings Papers

Paper presented at the SPWLA 26th Formation Evaluation Symposium of Japan, September 30–October 7, 2021
Paper Number: SPWLA-JFES-2021-D
... estimation result sedimentary environment dataset th september neural network program-2 st october permeability distribution artificial intelligence upstream oil & gas well data soft data program-1 th october 2021 Copyright 2021, Society of Petrophysicists and Well Log Analysts ...
Proceedings Papers

Paper presented at the SPWLA 25th Formation Evaluation Symposium of Japan, September 25–26, 2019
Paper Number: SPWLA-JFES-2019-A
... in earth science and anything related to self-development. Her motto is if you don t try, you ll never know. US government Artificial Intelligence West Java renewable energy Reservoir Characterization geothermal reservoir radiative heat flux Reservoir Characteristic landsat 8 mount tangkuban...
Proceedings Papers

Paper presented at the SPWLA 25th Formation Evaluation Symposium of Japan, September 25–26, 2019
Paper Number: SPWLA-JFES-2019-Q
...) for the formation evaluation in an exploration well. The result was used not only to optimize the drill stem test, but also it showed the good match with DST, and provided the general practice in this field for later well correlations. Upstream Oil & Gas Artificial Intelligence flow in porous media...
Proceedings Papers

Paper presented at the SPWLA 25th Formation Evaluation Symposium of Japan, September 25–26, 2019
Paper Number: SPWLA-JFES-2019-C
... through faults/fractures in non-equilibrium state which improved the reliability of prediction. reservoir simulation simulator 25th formation evaluation symposium flow behavior Upstream Oil & Gas EDF grid Artificial Intelligence kinetic rate constant therm fracture optimization...
Proceedings Papers

Paper presented at the SPWLA 24th Formation Evaluation Symposium of Japan, October 11–12, 2018
Paper Number: SPWLA-JFES-2018-B
... structural geology pore bitumen Artificial Intelligence Upstream Oil & Gas type 2 morphology Reservoir Characterization complex reservoir total porosity porosity solid bitumen bitumen maceral image analysis shale gas 24th formation evaluation symposium maceral Duvernay Formation type 1...
Proceedings Papers

Paper presented at the SPWLA 24th Formation Evaluation Symposium of Japan, October 11–12, 2018
Paper Number: SPWLA-JFES-2018-M
... Artificial Intelligence Bayesian Inference flow in porous media Reservoir Characterization Upstream Oil & Gas posterior distribution procedure variogram parameter prediction variance variance algorithm Japan Engineering prediction estimation permeability Fluid Dynamics 24th formation...
Proceedings Papers

Paper presented at the SPWLA 24th Formation Evaluation Symposium of Japan, October 11–12, 2018
Paper Number: SPWLA-JFES-2018-E
... machine learning Artificial Intelligence sio 2 log analysis Upstream Oil & Gas 24th formation evaluation symposium gneiss migmatitic granite Response Characteristic characteristic granite plagioclase identification mineral metamorphic rock Bongor basin Petroleum Exploration lithology...
Proceedings Papers

Paper presented at the SPWLA 23rd Formation Evaluation Symposium of Japan, October 11–12, 2017
Paper Number: SPWLA-JFES-2017-T
...; EDX Plate E.37B) where fracture are also found within clay matrix. machine learning log analysis complex reservoir Formation Evaluation Symposium porosity lower baong formation Artificial Intelligence belumai formation organic-rich shale baseline well logging Upstream Oil & Gas...
Proceedings Papers

Paper presented at the SPWLA 23rd Formation Evaluation Symposium of Japan, October 11–12, 2017
Paper Number: SPWLA-JFES-2017-O
... and petrophysics for both conventional and unconventional oil/gas resources. geological modeling Bayesian Inference geologic modeling Artificial Intelligence Petrel machine learning Upstream Oil & Gas Formation Evaluation Symposium estimation result estimation multiple soft data weighting factor...
Proceedings Papers

Paper presented at the SPWLA 23rd Formation Evaluation Symposium of Japan, October 11–12, 2017
Paper Number: SPWLA-JFES-2017-P
... management Artificial Intelligence reservoir simulation history matching Monte Carlo simulation Formation Evaluation Symposium experiment risk assessment cumulative oil production quantification algorithm simulator uncertain parameter Japan risk and uncertainty assessment Upstream Oil...

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