BEST of URTeC 2020 — Technical Paper Award Winners
Panagiotis Dalamaranis, Seismos Inc.
Real-Time Hydraulic Fracture Optimization Based on the Integration of Fracture Diagnostics and Reservoir Geomechanics
Yongshe Liu, ConocoPhillips
Bakken Infill Pilot Analysis and Modeling: Characterizing Unconventional Reservoir Potentials
Hongjie Xiong, Unviersity Lands
Identify Optimal Wellbore Landing Zones in the Wolfcamp Formation - The Southern Midland Basin Case Study
Kevin Raterman, ConocoPhillips
Analysis of a Multi-Well Eagle Ford Pilot
Tanya Inks, IS Interpretation Services, Inc.
Validation of Fracture Height and Density from Rapid Time-Lapse DAS VSP for use in Calculating Stimulated Rock Volume: A Case Study from Hereford Field, Colorado
Benedek Gal, ConocoPhillips
Using Fluid Inclusion Salinity Data to Reduce Uncertainty in Petrophysical Sw Calculation — New Application of an Old Technique in Unconventional Reservoirs
Hao Xiong, University of Oklahoma
Insights into Salinity Variations for Waterfloods, Frac-Fluids and Drilling Mud in Clay-Hosted Pores using Molecular Simulations
Shehab Alzobaidi, ExxonMobil
Wettability of Permian Rocks and Implications on Relative Permeability and Reservoir Modeling
Marianne Rauch, TGS
Enhancing PSDM via Well Data Derived from Gradient Boosted Trees Machine Learning
Andrew Munoz, Ensign Natural Resources
Unlocking Value from Vintage Seismic Processing - Pre-Stack Conditioning and Inversion in the Eagle Ford Shale
Ted Cross, Novi Labs
GeoSHAP: A Novel Method of Deriving Rock Quality Index from Machine Learning Models and Principal Components Analysis
Abhijit Mitra, MetaRock Laboratories
A Coupled Laboratory Measurement - Machine Learning Workflow to Predict Elastic Anisotropy by Lithotype in Shale
Rob Bohn, SPE
Diagnosing Fracture Stimulation Effectiveness: A Case Study of the Marcellus Shale Energy and Environmental Lab (MSEEL)
Yanli Pei, The University of Texas at Austin
The Influence of Development Target Depletion on Stress Evolution and Well Completion of Upside Target in the Permian Basin
Hui Long, Conocophillips
Integrating Oil and Water Geochemistry to Assess SRV and DRV in the Bakken/Three Forks Hybrid Play
Brett Wittman, Grayson Mill Energy
Integration of Geochemical and Petrophysical Measurements from Drill Cuttings for Unconventional Reservoir Characterization, Converse County, Powder River Basin
Adam Jew, SLAC National Accelerator Laboratory
Strontium Behavior in Midland Basin Unconventional Reservoirs: The Importance of Base Fluids
Hector Klie, DeepCast.ai
Transfer Learning for Scalable Optimization of Unconventional Field Operations
Alireza Shahkarami, Baker Hughes
A Data-Driven Workflow and Case Study for Optimizing Shut in Strategies of Adjacent Wells During Multi-Stage Hydraulic Fracturing Operations
Marshal Wigwe, Texas Tech University
Spatio-Temporal Models for Big Data and Applications on Unconventional Production Evaluation
Kirill Simonov, Skolkovo Institute of Science and Technology (Skoltech)
Machine-Learning-Assisted Segmentation of FIB-SEM Images with Artifacts for Improved of Pore Space Characterization of Tight Reservoir Rocks
Jaeyoung Park, Texas A&M University
Hybrid Physics and Data-Driven Modeling for Unconventional Field Development - Onshore US Basin Case Study
Jessica Iriarte, Well Data Labs
Historic Frac Design Evaluation Made Easy: Automating Pumping Schedule Recognition from Hydraulic Fracturing Time Series Data
Mikhail Litvak, Hess Corp.
Successful Field Test of Enhancing Bakken Oil Recovery with Propane Injection Part II. Development and Application of Innovative Simulation Technology
Narayana Nagarajan, Hess Corp.
Successful Field Test of Enhancing Bakken Oil Recovery with Propane Injection Part I. Field Test Planning, Operations, Surveillance, and Results
Yang Zhao, Missouri University of Science and Technoology
Performance of Low Salinity Polymer Flood in Enhancing Heavy Oil Recovery on the Alaska North Slope
Colleen Barton, Baker Hughes
Integrated Multi-Disciplinary Approach to Predict Reservoir Performance: The Diyab Reservoir Abu Dhabi
David Cotrell, Baker Hughes
Profit Optimization from Fracture Design and Production Estimates
Dicman Alfred, Scala Energy LLC
A New Methodology to Determine Well Spacing in Unconventional Reservoirs — Delaware Basin Case Study
Jiazheng Qin, The University of Texas at Austin
Assessment of Complex Fracture Networks Effect on Rate Transient Behavior Using Embedded Discrete Fracture Model
Boxiao Li, Chevron Energy Technology Company
Significant Error Reduction in Machine-Learning Decline Curve Analysis for Unconventional Reservoirs
Tanhee Galindo, GeoKimika Oil & Gas
Optimizing Fluid Compatibility in Produced Waters
Mark Van Domelen, Downhole Chemical Solutions
Performance of Friction Reducers in Iron-Rich Environments
Austin Wells, Arnco Technology
Workstring Tubing: The New Drill Pipe (and How to Protect It)
Jarvis Moore, Black Mountain Oil and Gas
The Canning Basin of Western Australia, Discovering Unconventional Opportunity
Radu Patrascu, OMV Petrom
First Applications of Novel Microproppant to Achieve Optimal Production and Enhance Hydraulic Fracture Treatment Placement — A Romanian Case History
Wei Zheng, Schlumberger
Geo-Engineered Performance in One of the Largest Tight Oil Multi-Well Pads in Asia
Ted Cross, Novi Labs
Benchmarking Operator Performance in the Williston Basin using a Predictive Machine Learning Model
Alexandre Ramos-Peon, Rystad Energy
Optimal Well Spacing in all Key Areas of the Permian Basin by Landing Zone
Deborah Ryan, Sproule
Where Did All the Capital Go? A Look at Full Life-Cycle Economics on Key U.S. Shale Plays
Ted Cross, Novi Labs
Predicting Water Production in the Williston Basin using a Machine Learning Model
Nick Gianoutsos, U.S. Geological Survey
Results of the 2019 Usgs Water and Proppant Assessment Associated with Petroleum Production from the Eagle Ford Group, Texas
Richard Hammack, US Dept. of Energy-National Energy Technology Laboratory
Using Drone-Mounted Geophysical Sensors to Map Legacy Oil and Gas Infrastructure