Sven Egenhoff

Sven Egenhoff

Colorado State University

H-index: 26

North America-United States

About Sven Egenhoff

Sven Egenhoff, With an exceptional h-index of 26 and a recent h-index of 15 (since 2020), a distinguished researcher at Colorado State University, specializes in the field of Sedimentology of mudstones, carbonates, stratigraphy.

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

Characterizing Nonlinear Fluid Flow in 3D Printed Rock Fractures: Effects of Roughness, Aperture, and Intersection Angles

New Insights in Fracture Porosity Estimation Using Machine Learning and Advanced Logging Tools

New Insights into Fracture Porosity Estimations Using Machine Learning and Advanced Logging Tools

Improved Model for Predicting the Productivity of Multi-Fractured Shale Wells. TMS and EFS Field Data as Case Studies

Investigating Suitability of Microbial Derived Biosurfactant for Deliquefying Gas Well-An Experimental Approach

Investigating the suitability of North Dakota fly ash as fluid loss reducing additive in densified water-based drilling fluid

Annelids from the Cambrian (Wuliuan Stage, Miaolingian) Spence Shale Lagerstätte of northern Utah, USA

The edge of a Permian erg: Eolian facies and provenance of the Lyons Sandstone in northern Colorado

Sven Egenhoff Information

University

Position

Professor

Citations(all)

2010

Citations(since 2020)

915

Cited By

1490

hIndex(all)

26

hIndex(since 2020)

15

i10Index(all)

43

i10Index(since 2020)

28

Email

University Profile Page

Colorado State University

Google Scholar

View Google Scholar Profile

Sven Egenhoff Skills & Research Interests

Sedimentology of mudstones

carbonates

stratigraphy

Top articles of Sven Egenhoff

Title

Journal

Author(s)

Publication Date

Characterizing Nonlinear Fluid Flow in 3D Printed Rock Fractures: Effects of Roughness, Aperture, and Intersection Angles

Ghoulem Ifrene

Prasad Pothana

Sven Egenhoff

Nicholas Bittner

Kuldeep Singh

2024

New Insights in Fracture Porosity Estimation Using Machine Learning and Advanced Logging Tools

Ghoulem Ifrene

Doina Irofti

Ruichong Ni

Sven Egenhoff

Prasad Pothana

2023/6/22

New Insights into Fracture Porosity Estimations Using Machine Learning and Advanced Logging Tools

Fuels

Ghoulem Ifrene

Doina Irofti

Ruichong Ni

Sven Egenhoff

Prasad Pothana

2023/8/29

Improved Model for Predicting the Productivity of Multi-Fractured Shale Wells. TMS and EFS Field Data as Case Studies

Adesina Samson Fadairo

Sven Egenhoff

Gbadegesin Abiodun Adeyemi

Kegang Ling

Olusegun Stanley Tomomewo

...

2023/5/15

Investigating Suitability of Microbial Derived Biosurfactant for Deliquefying Gas Well-An Experimental Approach

Gbadegesin Abiodun Adeyemi

Sven Egenhoff

Adesina Fadairo

kegang Ling

Olusegun Tomomewo

...

2023/7/30

Investigating the suitability of North Dakota fly ash as fluid loss reducing additive in densified water-based drilling fluid

Powder Technology

Opeyemi Oni

Adesina Samson Fadairo

William Gosnold

Sven Egenhoff

Gbadegesin Adeyemi

...

2023/12/1

Annelids from the Cambrian (Wuliuan Stage, Miaolingian) Spence Shale Lagerstätte of northern Utah, USA

Historical Biology

Julien Kimmig

Rhiannon J LaVine

James D Schiffbauer

Sven O Egenhoff

Kevin L Shelton

...

2023/4/8

The edge of a Permian erg: Eolian facies and provenance of the Lyons Sandstone in northern Colorado

Rocky Mountain Geology

Oguzhan Kendigelen

Sven Egenhoff

William A Matthews

Christopher S Holm-Denoma

Karen R Whiteley

...

2023/11/1

Improving the Flowability of Waxy Crude Oil Using Orange Seed Oil Derived Additive

Adesina Fadairo

Gbadegesin Adeyemi

Sven Egenhoff

Stephen Obia

Opeyemi Oni

...

2023/7/30

Advancing Our Understanding of Non-Linear Flow Behavior in X-Crossing Fractures through 3D Printing Technology

Ghoulem Ifrene

Sven Egenhoff

Doina Irofti

Nicholas Bittner

Tyler Newman

2023

Machine Learning Based Predictive Models for UCS and Young's Modulus of the Dakota Sand Using Schmidt Hammer Rebound

HAK Chellal

S Egenhoff

A Latrach

O Bakelli

2023/6/25

Fly ash as an additive for controlling sagging tendency in ilmenite densified water-based mud for a highly inclined high temperature well

Geoenergy Science and Engineering

Opeyemi Oni

Adesina Fadairo

William Gosnold

Sven Egenhoff

2023/11/1

High-Resolution Fluid Flow Simulation in X-Crossing Rough Fractures

Ghoulem EH Ifrene

Sven Egenhoff

Prasad Pothana

Neal Nagel

Bo Li

2023/6/25

Assessing the Feasibility of Above Injection Zone Pressure Monitoring of CO2 Geologic Storage in the Williston Basin, North Dakota, USA

Hichem AK Chellal

Mohammed Lamine Malki

Sven Egenhoff

2023/10/30

Facies Architecture and Depositional Processes Incfluencing Carbonate Facies Belt Development Along a Low-Inclined Shelf, Huk Formation, Norway, and Komstad Formation, Sweden

James J Van Hook

2022

The Bakken Formation–understanding the sequence stratigraphic record of low-gradient sedimentary systems, shale depositional environments, and sea-level changes in an icehouse …

The Sedimentary Record

Sven O Egenhoff

Neil S Fishman

2020/12/1

‘False Bakken’Interval-Sediment Patterns and Depositional Architecture at the Facies Boundary Between Siliciclastic Mudstones and Carbonates, Lodgepole Formation, Mississippian …

Joel Spansel

2020

See List of Professors in Sven Egenhoff University(Colorado State University)