William Harbert
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View article: FracML: A Machine Learning Based Tool to Quantify Reservoir Scale Fracture Network for CO2 Storage
FracML: A Machine Learning Based Tool to Quantify Reservoir Scale Fracture Network for CO2 Storage Open
Poster on “FRACML: A Machine Learning Based Tool to Quantify Reservoir Scale Fracture Network for CO2 Storage” for the CCUS 2025 conference held in Houston, Texas March 3-5, 2025. The accurate characterization of subsurface fracture networ…
View article: Fracture Network Quantification for Enhanced Reservoir Characterization in CO2 Storage Sites
Fracture Network Quantification for Enhanced Reservoir Characterization in CO2 Storage Sites Open
Presentation slides on “Fracture Network Quantification for Enhanced Reservoir Characterization in CO2 Storage Sites” for the CCUS 2025 conference held in Houston, Texas March 3-5, 2025. Accurate reservoir characterization is fundamental f…
View article: Fracture Networks Imaging in CO2 Injection Zones in IBDP Site: An Unsupervised Machine Learning Application with Multiple Datasets
Fracture Networks Imaging in CO2 Injection Zones in IBDP Site: An Unsupervised Machine Learning Application with Multiple Datasets Open
Poster presented at the 17th International Conference on Greenhouse Gas Control Technologies GHGT-17 held in Calgary, Canada, October 20-24, 2024. This poster highlights the integration of unsupervised machine learning (ML) techniques as a…
View article: Machine Learning Application for Fracture Analysis: Use Case
Machine Learning Application for Fracture Analysis: Use Case Open
This is an invited talk for Alberta Energy Regulator, Canada, for machine learning applications for CCS, unconventional hydrocarbon, and frac-hit identification based on NETL recent activities (Virtual, October 1, 2024).
View article: Well-Log Derived Geomechanical Analysis of Microseismicity in the Mt. Simon Saline Aquifers (Illinois Basin - Decatur Project)
Well-Log Derived Geomechanical Analysis of Microseismicity in the Mt. Simon Saline Aquifers (Illinois Basin - Decatur Project) Open
The Illinois Basin Decatur Project (IBDP) successfully demonstrated the safe geologic storage of carbon dioxide at a commercial scale. Within the IBDP project three deep wells (injection (CCS1), monitoring (VW1), geophysical (GM1)) were co…
View article: Assessing the Value of Seismic Amplitude Versus Offset (AVO) Attributes for CO2 Storage Project Using a Bayesian Network Model for Decision Support
Assessing the Value of Seismic Amplitude Versus Offset (AVO) Attributes for CO2 Storage Project Using a Bayesian Network Model for Decision Support Open
Attributes versus offset (AVO) are a set of measurements to analyze how the characteristics of reflected seismic waves change as a function of the offset. It can be useful for monitoring CO2 storage sites because the presence of leaked CO2…
View article: Fracture Network Prediction Using Physics-based Machine Learning Algorithms
Fracture Network Prediction Using Physics-based Machine Learning Algorithms Open
In recent years, systematic CO2 injection into geological reservoirs across the U.S. has gained traction as a strategy to mitigate greenhouse gas emissions. This approach necessitates precise monitoring to ensure secure containment, minimi…
View article: Machine Learning Application for CCUS and Fracture Analysis
Machine Learning Application for CCUS and Fracture Analysis Open
This is an invited guest speaker's presentation. The present covers three use cases by applying machine learning techniques. The use cases include fracture analysis for CCUS: IBDP study, multiple level of fracture network analysis and …
View article: Machine Learning Application for CCUS Carbon Storage: Fracture Analysis and Mapping in The Illinois Basin
Machine Learning Application for CCUS Carbon Storage: Fracture Analysis and Mapping in The Illinois Basin Open
Presentation at the 58th US Rock Mechanics/Geomechanics Symposium (ARMA) June 23 to 26 in Golden, CO. The presentation highlights using machine learning to quantify fracture network for carbon storage and is part of the SMART Initiative pr…
View article: Machine Learning Application for CCUS Carbon Storage: Fracture Analysis and Mapping in the Illinois Basin
Machine Learning Application for CCUS Carbon Storage: Fracture Analysis and Mapping in the Illinois Basin Open
A significant volume of anthropogenic carbon dioxide (CO2) is being injected into geological reservoirs at multiple locations throughout the United States. These operations have gained considerable traction in the last decade as a viable o…
View article: Machine Learning Based Fracture Network Quantification at the IBDP CO2 Sequestration Site
Machine Learning Based Fracture Network Quantification at the IBDP CO2 Sequestration Site Open
This poster presents the latest results highlighted in SMART phase II task 4 of fracture network and mapping based on IBDP field data measurement. The results will be coupled into the dynamic modeling and simulation study to insight the im…
View article: The Kimberlina synthetic multiphysics dataset for <scp>CO<sub>2</sub></scp> monitoring investigations
The Kimberlina synthetic multiphysics dataset for <span>CO<sub>2</sub></span> monitoring investigations Open
We present a synthetic multi‐scale, multi‐physics dataset constructed from the Kimberlina 1.2 CO 2 reservoir model based on a potential CO 2 storage site in the Southern San Joaquin Basin of California. Among 300 models, one selected reser…
View article: Kimberlina 1.2 CCUS Geophysical Models and Synthetic Data Sets
Kimberlina 1.2 CCUS Geophysical Models and Synthetic Data Sets Open
This synthetic multi-scale and multi-physics data set was produced in collaboration with teams at the Lawrence Berkeley National Laboratory, National Energy Technology Laboratory, Los Alamos National Laboratory, and Colorado School of Mine…
View article: Dataset documenting rock core evaluation from Brady’s Hot Springs well BCH-03
Dataset documenting rock core evaluation from Brady’s Hot Springs well BCH-03 Open
Nineteen short sections of core were taken from the BCH-03 borehole at Brady’s Hot Springs, Churchill County, Nevada, between 2,945 ft and the total depth of 4,885 ft. This well is in a geothermal field. Data collected includes thin sectio…
View article: Evaluating proxies for the drivers of natural gas productivity using machine-learning models
Evaluating proxies for the drivers of natural gas productivity using machine-learning models Open
The extensive development of unconventional reservoirs using horizontal drilling and multistage hydraulic fracturing has generated large volumes of reservoir characterization and production data. The analysis of this abundant data using st…
View article: Evaluating probability of containment effectiveness at a GCS site using integrated assessment modeling approach with Bayesian decision network
Evaluating probability of containment effectiveness at a GCS site using integrated assessment modeling approach with Bayesian decision network Open
Improved scientific and engineering understanding of the behavior of geologic CO 2 storage together with established regulatory framework and incentive structures raise the prospects for accelerated, large‐scale deployment of this greenhou…
View article: Kimberlina 1.2 Velocity Models and Seismic Data
Kimberlina 1.2 Velocity Models and Seismic Data Open
Kimberlina 1.2 Velocity model and synthetic seismic data, produced in collaboration of teams at the National Energy Technology Laboratory, Los Alamos National Laboratory, and Lawrence Livermore National Laboratory through the National Risk…
View article: Using Geophysical Technologies Deployed in Inexpensive Monitoring Wells to Monitor the Evolution of a CO<sub>2</sub> Plume: Potential Benefits and R&D Needs
Using Geophysical Technologies Deployed in Inexpensive Monitoring Wells to Monitor the Evolution of a CO<sub>2</sub> Plume: Potential Benefits and R&D Needs Open
This report demonstrates the potential benefits of an R&D; program designed to substantially decrease the cost of drilling monitoring wells. The study determines the costs of monitoring a commercial-scale CO2 storage project's CO2 plume us…
View article: Ultrasonic Seismic Wave Elastic Moduli, lambda-rho mu-rho space and Attenuation: Petrophysical Models and Work Flows for Better Subsurface Imaging, and Tracking of Sequestered CO2
Ultrasonic Seismic Wave Elastic Moduli, lambda-rho mu-rho space and Attenuation: Petrophysical Models and Work Flows for Better Subsurface Imaging, and Tracking of Sequestered CO2 Open
Presented by NETL at the Mastering the Subsurface Through Technology Innovation, Partnerships and Collaboration: Carbon Storage and Oil and Natural Gas Technologies Review Meeting, 08/17
View article: Seismic monitoring of CO2-EOR operations in the Texas Panhandle and southern Kansas using surface seismometers
Seismic monitoring of CO2-EOR operations in the Texas Panhandle and southern Kansas using surface seismometers Open
Injection of carbon dioxide (CO2) into depleted oil reservoir is an advantageous tertiary recovery method as it allows for the long-term storage of CO2 in the empty pore spaces resulting from the removal of in situ pore fluid. Several inst…
View article: Long-Period, Long-Duration Seismic Events and Their Probable Role in Reservoir Stimulation and Stage Productivity
Long-Period, Long-Duration Seismic Events and Their Probable Role in Reservoir Stimulation and Stage Productivity Open
Summary Hydraulic fracturing is a well-established technique to extract gas or liquid hydrocarbons from low-permeability formations such as shale and tight gas reservoirs. Diffusion of hydrofracturing fluid outward from the stimulated frac…