... symposium grayscale intensity geological subdiscipline intensity 0 spatial arrangement mineralogy texture prediction rock type mudstone arrangement textural loocv glcm matrix deep learning artificial intelligence reservoir characterization classification pixel young information japan...

... realization subsurface modelling artificial intelligence application workflow probabilistic approach japan reservoir characterization formation evaluation symposium scenario digital transformation risk management climate change simulator algorithm ensemble modelling co 2 Abstract Oil...

... Formation Evaluation Society (JFES) and the submitting authors. This paper was prepared for the JFES 29th Annual Symposium held from September 12-13, 2024. ABSTRACT Machine learning (ML) which is a subset of artificial intelligence is being used in the field of upstream oil and gas industry to enhance its...

.... To overcome these deficiencies, this study focused on applying deep learning, a powerful tool in the field of Artificial Intelligence (AI), to upscaling of both the singlephase property(absolute permeability) and the multi-phase property (relative permeability). First, a large dataset was generated...

... of Mines. He has worked in different job responsibilities during his professional journey in Halliburton. His primary areas of interest are data analytics, velocity modeling, pre-stack seismic analysis, artificial intelligence and machine learning in G&G aspects. He has conducted numerous training...

... for downhole fluid identification sensor design, formation pressure test and sampling modeling, and automation of wireline formation testers using artificial intelligence and machine learning techniques. Dai received a PhD degree in analytical chemistry, with a specialization in chemometrics and NIR...

... rock rock type well logging geological subdiscipline sandstone reservoir characterization permeability seismic inversion petrophysical characterization rpm-based petrophysical characterization flow in porous media log analysis physic template porosity moduli construction artificial...

... well logging rock type machine learning log analysis saturation type nuclear magnetic resonance artificial intelligence reservoir characterization permeability fluid dynamics flow in porous media core analysis formation evaluation symposium hfu-fzi rock type gas field substitution nmr...

...The 28th Formation Evaluation Symposium of Japan, September 13-14, 2023 ARTIFICIAL INTELLIGENT (AI) ASSISTED FORMATION EVALUATION AND RESERVOIR MONITORING IN A CO2 PRODUCING FIELD: CASE STUDIES FROM OFFSHORE PENINSULAR MALAYSIA Siti Najmi Farhan Zulkipli 1 1. PETRONAS Carigali Sdn. Bhd. Copyright...

... 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...

... 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...

... 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...

.... 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...

... 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...

.... The results suggest that our method by integrating the TRI parameters and HSV color spaces acquired from UAV photography can be a powerful method to estimate rock properties. upstream oil & gas machine learning unosaki coast reservoir characterization ruggedness artificial intelligence coast...

... the distribution of effective tight sandstones. permeability log analysis reservoir porosity well logging mercury injection saturation characterization upstream oil & gas machine learning chang 8 triassic chang 8 university petrochina research institute artificial intelligence formation...

... permeability model has resulted in enhanced completion decisions for well-work operations (additional perforation and re-perforation campaigns). reservoir characterization log analysis well logging upstream oil & gas flow in porous media drilling operation machine learning artificial...

... 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 The 26th Formation Evaluation Symposium of Japan 30th September, 1st October, 7th October 2021 IMPROVEMENT...

... 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...

...) 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...