박창협

전체 170건 중 61번부터 70번까지의 결과를 표시합니다.

2020

Article

Deep neural network coupled with distance-based model selection for efficient history matching

Article

Surrogate Model with a Deep Neural Network to Evaluate Gas-Liquid Flow in a Horizontal Pipe

2019

Conference

Sensitivity analysis of rock properties for CO2 sequestration into heterogeneous saline aquifers

Conference

[중급] 경제성분석 및 가치평가 강의

Conference

Inverse modeling with deep neural network and K-medoids clustering under uncertain geological scenarios

Article

Experimental analysis to design optimum phase type and salinity gradient of Alkaline Surfactant Polymer flooding at low saline reservoir

Article

Optimisation of steam and gas push to prevent water influx from a top-water-bearing area into a vapour chamber

2018

Conference

Experimental investigation of gas hydrate production behavior by integrated hot-brine injection method

Article

Data-driven inverse modeling with a pre-trained neural network at heterogeneous channel reservoirs

Conference

Efficient uncertainty quantification of reservoir productions by stacked authencoder-based clustering

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박창협

연구분야

자료유형

발행연도

키워드

언어

Deep neural network coupled with distance-based model selection for efficient history matching

Surrogate Model with a Deep Neural Network to Evaluate Gas-Liquid Flow in a Horizontal Pipe

Sensitivity analysis of rock properties for CO2 sequestration into heterogeneous saline aquifers

[중급] 경제성분석 및 가치평가 강의

Inverse modeling with deep neural network and K-medoids clustering under uncertain geological scenarios

Experimental analysis to design optimum phase type and salinity gradient of Alkaline Surfactant Polymer flooding at low saline reservoir

Optimisation of steam and gas push to prevent water influx from a top-water-bearing area into a vapour chamber

Experimental investigation of gas hydrate production behavior by integrated hot-brine injection method

Data-driven inverse modeling with a pre-trained neural network at heterogeneous channel reservoirs

Efficient uncertainty quantification of reservoir productions by stacked authencoder-based clustering