Best of 2023


Top Leaderboard



Congratulations to the URTeC 2023 Best Paper Award Winners! Each year one highly ranked paper is selected from each technical program theme as a recognized outstanding contribution to the program. We would like to honor those winners for their participation.

Theme 1: Operators’ Forum: Case Studies Highlighting the Multidisciplinary Approach to Exploration, Appraisal, Pilot Tests, and Development

Kay Warner

Co-Authors: Kim Owens, Hannah Chittenden, Michael Schult, Casey Cox, Dane Byrd, Palmer Van Buskirk, Travis Payeur, Sean Machovoe

Using Disposable Fiber to Monitor Simulfrac Stimulation Fracture Growth

Theme 2: Advanced Formation Evaluation

Son T. Dang

Co-Authors: Elizabeth G. Krukowski, Michael J. Dick, Dragan Veselinovic, Rafael Mendoza, Rayvan Watson, Chandra Rai, Carl Sondergeld

Understanding NMR Responses of Different Rock-fluid Components Within Organic-rich Argillaceous Rocks: Comparison Study Across 2, 12, and 20 MHz Spectroscopy

Theme 3: Geological Characterization and Evaluation Spanning the E&P Lifecycle

Franco Vittore

Co-Authors: Patricio Desjardins, Diego T. Licitra

Geological Characterization of Vaca Muerta Fm. Through Virtual Outcrops Technology, Neuquén Basin, Argentina

Theme 4: Geophysical Reservoir Analysis

Joseph Mjehovich

Co-Authors: Aishwarya Srinivasan, Wen Wang, Kan Wu, Ge Jin

Quantitative Analysis of HFTS-2 Completion Designs Using Cross-well Strain Measurement

Theme 5: Geomechanics – The Intersection of Geoscience and Engineering

Jichao Han

Co-Authors: Yu Zhao, Han (Jake) Li, Jiasen Tan, Fadila Bessa, Shunhua Liu, Vinay Sahni, Sriram Pudugramam, Xueying Xie, Hamid Behzadi

A Comprehensive Simulation Study of Hydraulic Fracturing Test Site 2 (HFTS-2): Part II – Development Optimization in the Delaware Basin Using an Integrated Modeling Workflow

Theme 6: Subsurface Geochemistry including Rock-Fluid and Fluid-Fluid Interactions

Abhishek Sarmah

Co-Authors: Isaiah Z. Ataceri, Rohan Vijapurapu, Jingjing Zhang, Hadi Nasrabadi, David Schechter

Rock and Fluid-based Correlation to Describe Surfactant Molecular Structure's Impact on Spontaneous Imbibition Experiments' Performance

Theme 7: Applications of Data Science

Niven Shumaker

Machine-learning Assisted Induced Seismicity Characterization and Forecasting of the Ellenburger Formation in Northern Midland Basin

Theme 8: Unlocking the Production and Recovery Potential

Michael Cronin

Co-Authors: Edward C. Wanat, Thomas A. Blasingame

PVT Correlations for Unconventional Reservoir Fluids - Bridging Lab and Field Applications

Theme 9: Reserves Estimation and Production Forecasting

Eric Bryan

Co-Authors: Rex Richard, Connor Holasek,Nima Hosseinpour-Zonoozi, Dilhan Ilk, Charles Melvin, Kevin Eichinger, Brian Rankosky, Brian Ingalls, Sam French, Ken Day

Integrated Well Performance Analysis Methodology to Understand Production Performance and Identify Refracturing Candidates in Barnett Shale


three box footer