Ryan Kurniawan Santoso

About Ryan Kurniawan Santoso

Ryan Kurniawan Santoso, With an exceptional h-index of 12 and a recent h-index of 11 (since 2020), a distinguished researcher at King Abdullah University of Science and Technology, specializes in the field of THMC processes in Porous Media, Uncertainty Quantification, Reduced-Order Modeling, Distributed Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

System and method for fracture dynamic hydraulic properties estimation and reservoir simulation

Uncertainty quantification with a physics-based machine learning method for geothermal-well targeting: A case study of The Hague, Netherlands

Physics-based machine learning for reactive transport simulations

Physics-based machine learning for modeling thermo-hydraulic processes in a coaxial deep borehole heat exchanger, considering an explicit reservoir-wellbore representation: A …

Can we infer the percolation status of 3D fractured media from 2D outcrops?

Enhancing fracture network characterization: A data-driven, outcrop-based analysis

State-of-the-art physics-based machine learning for hydro-mechanical simulation in geothermal applications

Impacts of fracture properties on the formation and development of stimulated reservoir volume: A global sensitivity analysis

Ryan Kurniawan Santoso Information

University

Position

(KAUST)

Citations(all)

395

Citations(since 2020)

387

Cited By

75

hIndex(all)

12

hIndex(since 2020)

11

i10Index(all)

14

i10Index(since 2020)

13

Email

University Profile Page

King Abdullah University of Science and Technology

Google Scholar

View Google Scholar Profile

Ryan Kurniawan Santoso Skills & Research Interests

THMC processes in Porous Media

Uncertainty Quantification

Reduced-Order Modeling

Distributed Computing

Top articles of Ryan Kurniawan Santoso

Title

Journal

Author(s)

Publication Date

System and method for fracture dynamic hydraulic properties estimation and reservoir simulation

2023/3/30

Uncertainty quantification with a physics-based machine learning method for geothermal-well targeting: A case study of The Hague, Netherlands

Ryan Kurniawan Santoso

Denise Degen

Dominique Knapp

Renate Pechnig

Florian Wellmann

2023/2/22

Physics-based machine learning for reactive transport simulations

Goldschmidt 2023 Conference

Ryan Kurniawan Santoso

Allan MM Leal

Denise Degen

Florian Wellmann

Martin Saar

2023/7/12

Physics-based machine learning for modeling thermo-hydraulic processes in a coaxial deep borehole heat exchanger, considering an explicit reservoir-wellbore representation: A …

EGU General Assembly Conference Abstracts

Dimitra Teza

Ryan Santoso

Nora Koltzer

Denise Degen

Tony Bennett

...

2023/5

Can we infer the percolation status of 3D fractured media from 2D outcrops?

Engineering Geology

Weiwei Zhu

Gang Lei

Xupeng He

Yafan Yang

Ryan Kurniawan Santoso

...

2022/6/5

Enhancing fracture network characterization: A data-driven, outcrop-based analysis

Computers and Geotechnics

Weiwei Zhu

Xupeng He

Ryan Kurniawan Santoso

Gang Lei

Tadeusz W Patzek

...

2022/12/1

State-of-the-art physics-based machine learning for hydro-mechanical simulation in geothermal applications

Ryan Santoso

Denise Degen

Mauro Cacace

Florian Wellmann

2022/10

Impacts of fracture properties on the formation and development of stimulated reservoir volume: A global sensitivity analysis

Journal of Petroleum Science and Engineering

Weiwei Zhu

Xupeng He

Yiteng Li

Gang Lei

Ryan Santoso

...

2022/10/1

Supplementary data to the article: Enhancing Fracture Network Characterization: A Data-Driven, Outcrop-Based Analysis

Weiwei Zhu

Xupeng He

Gang Lei

Moran Wang

Ryan Kurniawan Santoso

...

2021/7/5

Are natural fractures pervasive?

Weiwei Zhu

Gang Lei

Xupeng He

Yafan Yang

Ryan Kurniawan Santoso

...

2021/10/20

Integrated CO2-H2S corrosion-erosion modeling in gas production tubing and pipeline by considering passive layer activity

Journal of Petroleum Exploration and Production Technology

Silvya Dewi Rahmawati

Ryan Kurniawan Santoso

Fadhila Tanjungsari

2021/7

Uncertainty quantification and optimization of deep learning for fracture recognition

Ryan Santoso

Xupeng He

Marwa Alsinan

Hyung Kwak

Hussein Hoteit

2021/12/15

Constructing Dual-Porosity Models from High-Resolution Discrete-Fracture Models Using Deep Neural Networks

Xupeng He

Ryan Santoso

Marwa Alsinan

Hyung Kwak

Hussein Hoteit

2021/10/19

Bayesian long-short term memory for history matching in reservoir simulations

Ryan Santoso

Xupeng He

Marwa Alsinan

Hyung Kwak

Hussein Hoteit

2021/10/19

Multi-Fidelity Bayesian Approach for History Matching in Reservoir Simulation

Ryan Santoso

Xupeng He

Marwa Alsinan

Ruben Figueroa Hernandez

Hyung Kwak

...

2021/12/15

Fracture Permeability Estimation Under Complex Physics: A Data-Driven Model Using Machine Learning

Xupeng He

Weiwei Zhu

Ryan Santoso

Marwa Alsinan

Hyung Kwak

...

2021/9/15

Coupled flow-normal-shear influence on fracture permeability: analysis and modeling

Xupeng He

R Santoso

W Zhu

H Hoteit

MM AlSinan

...

2021/11/1

CO2 Leakage Rate Forecasting Using Optimized Deep Learning

Xupeng He

Weiwei Zhu

Ryan Santoso

Marwa Alsinan

Hyung Kwak

...

2021/9/15

Gas Injection Optimization Under Uncertainty in Subsurface Reservoirs: An Integrated Machine Learning-Assisted Workflow

Xupeng He

T Qiao

R Santoso

H Hoteit

MM AlSinan

...

2021/11/1

Investigation of an improved polymer flooding scheme by compositionally-tuned slugs

Processes

Ryan Santoso

Victor Torrealba

Hussein Hoteit

2020/2/6

See List of Professors in Ryan Kurniawan Santoso University(King Abdullah University of Science and Technology)

Co-Authors

H-index: 57
Moran Wang

Moran Wang

Tsinghua University

H-index: 53
T. W. Patzek

T. W. Patzek

King Abdullah University of Science and Technology

H-index: 32
Hussein Hoteit

Hussein Hoteit

King Abdullah University of Science and Technology

H-index: 21
Volker C. Vahrenkamp

Volker C. Vahrenkamp

King Abdullah University of Science and Technology

H-index: 13
Yiteng Li

Yiteng Li

King Abdullah University of Science and Technology

H-index: 13
Yafan Yang 杨亚帆

Yafan Yang 杨亚帆

China University of Mining and Technology

academic-engine