Roland Horne

Roland Horne

Stanford University

H-index: 66

North America-United States

About Roland Horne

Roland Horne, With an exceptional h-index of 66 and a recent h-index of 32 (since 2020), a distinguished researcher at Stanford University, specializes in the field of geothermal, fractures, tracers, well testing, petroleum engineering.

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

Advanced 3D TH and THM modeling to shed light on thermal convection in Fault Zones with varying thicknesses

Thermal Earth Model for the Conterminous United States Using an Interpolative Physics-Informed Graph Neural Network (InterPIGNN)

Fracture aperture anisotropic effects on field scale enhanced geothermal system thermal performance

FGEM: Flexible Geothermal Economics Modeling tool

Numerical investigation of closed-loop geothermal systems in deep geothermal reservoirs

Using in-situ strain measurements to evaluate the accuracy of stress estimation procedures from fracture injection/shut-in tests

Tidal behavior of a well in a relatively thick semiconfined aquifer

Utah FORGE 3-2418: Wellbore Fracture Imaging Using Inflow Detection Measurements-Workshop Presentation

Roland Horne Information

University

Position

Professor

Citations(all)

15157

Citations(since 2020)

4884

Cited By

11553

hIndex(all)

66

hIndex(since 2020)

32

i10Index(all)

283

i10Index(since 2020)

126

Email

University Profile Page

Google Scholar

Roland Horne Skills & Research Interests

geothermal

fractures

tracers

well testing

petroleum engineering

Top articles of Roland Horne

Advanced 3D TH and THM modeling to shed light on thermal convection in Fault Zones with varying thicknesses

Journal of Geophysical Research: Solid Earth

2024/4

Thermal Earth Model for the Conterminous United States Using an Interpolative Physics-Informed Graph Neural Network (InterPIGNN)

arXiv preprint arXiv:2403.09961

2024/3/15

Fracture aperture anisotropic effects on field scale enhanced geothermal system thermal performance

Geothermics

2024/3/1

FGEM: Flexible Geothermal Economics Modeling tool

Applied Energy

2024/1/1

Numerical investigation of closed-loop geothermal systems in deep geothermal reservoirs

Geothermics

2024/1/1

Using in-situ strain measurements to evaluate the accuracy of stress estimation procedures from fracture injection/shut-in tests

International Journal of Rock Mechanics and Mining Sciences

2023/10/1

Tidal behavior of a well in a relatively thick semiconfined aquifer

Authorea Preprints

2023/9/25

Utah FORGE 3-2418: Wellbore Fracture Imaging Using Inflow Detection Measurements-Workshop Presentation

2023/9/8

Roland Horne
Roland Horne

H-Index: 32

Long-Term Microbial DNA-Based Monitoring of the Mature Sarukawa Oil Field in Japan

SPE Reservoir Evaluation & Engineering

2023/8/9

Recent advances on fluid flow in porous media using digital core analysis technology.

2023/8/1

Meta Learning Using Deep N-BEATS Model for Production Forecasting with Limited History

2023/3/13

Roland Horne
Roland Horne

H-Index: 32

Probabilistic Well Production Forecasting in Volve Field Using Temporal Fusion Transformer Deep Learning Models

2023/3/13

Roland Horne
Roland Horne

H-Index: 32

Drilling the Perfect Geothermal Well: An International Research Coordination Network for Geothermal Drilling Optimization Supported by Deep ML and Cloud Based Data Aggregation …

48th Workshop on Geothermal Reservoir Engineering, Stanford University, Stanford, California

2023/2/6

Closed Loop Geothermal Working Group: GeoCLUSTER App, Subsurface Simulation Results, and Publications

2023/2/3

Development Update on Chloride-based Inflow Measurement in Fractured Enhanced Geothermal Systems (EGS) Wells

Proceedings 48th Workshop on Geothermal Reservoir Engineering, Stanford University, Stanford, California

2023

Techno-Economic Modeling and Optimization of Flexible Geothermal Operations Coupled with Energy Storage

Proceedings, 48th Stanford on Geothermal Reservoir Engineering, Stanford University, Stanford, CA

2023

Investigating fracture network creation and stimulation mechanism of EGS reservoirs

Geothermics

2023/1/1

A Data-Driven Approach for Stylolite Detection

2023/10/9

A Comparative Study of Deep Learning Models and Traditional Methods in Forecasting Oil Production in the Volve Field

2023/10/9

Induced microearthquakes predict permeability creation in the brittle crust

Frontiers in Earth Science

2022/11/22

See List of Professors in Roland Horne University(Stanford University)

Co-Authors

academic-engine