27 research outputs found
\textsc{DeFault}: Deep-learning-based Fault Delineation
The carbon capture, utilization, and storage (CCUS) framework is an essential
component in reducing greenhouse gas emissions, with its success hinging on the
comprehensive knowledge of subsurface geology and geomechanics. Passive seismic
event relocation and fault detection serve as indispensable tools, offering
vital insights into subsurface structures and fluid migration pathways.
Accurate identification and localization of seismic events, however, face
significant challenges, including the necessity for high-quality seismic data
and advanced computational methods. To address these challenges, we introduce a
novel deep learning method, DeFault, specifically designed for passive seismic
source relocation and fault delineating for passive seismic monitoring
projects. By leveraging data domain-adaptation, DeFault allows us to train a
neural network with labeled synthetic data and apply it directly to field data.
Using DeFault, the passive seismic sources are automatically clustered based on
their recording time and spatial locations, and subsequently, faults and
fractures are delineated accordingly. We demonstrate the efficacy of DeFault on
a field case study involving CO2 injection related microseismic data from the
Decatur, Illinois area. Our approach accurately and efficiently relocated
passive seismic events, identified faults and aided in the prevention of
potential geological hazards. Our results highlight the potential of DeFault as
a valuable tool for passive seismic monitoring, emphasizing its role in
ensuring CCUS project safety. This research bolsters the understanding of
subsurface characterization in CCUS, illustrating machine learning's capacity
to refine these methods. Ultimately, our work bear significant implications for
CCUS technology deployment, an essential strategy in combating climate change
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A Hydrologic-geophysical Method for Characterizing Flow and Transport Processes Within The Vadose Zone
The primary purpose of this project was to employ two geophysical imaging techniques, electrical resistivity tomography and cross-borehole ground penetrating radar, to image a controlled infiltration of a saline tracer under unsaturated flow conditions. The geophysical techniques have been correlated to other more traditional hydrologic measurements including neutron moisture measurements and induction conductivity logs. Images that resulted during two successive infiltrations indicate the development of what appear to be preferential pathways through the finer grained materials, although the results could also be produced by cationic capture of free ions in clays. In addition the site as well as the developing solute plume exhibits electrical anisotropy which is likely related to flow properties. However the geologic significance of this phenomenon is still under investigation
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Final report [The 15th Workshop on Electromagnetic Induction in the Earth, held 8/20-26/2000, and The 5th Magnetotelluric Data Interpretation Workshop, 8/17-19/2000]
This document reports on how the DOE helped to support travel of students and scientists to the conferences in Brazil. Attendee names, funding, and session titles are listed
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A Resolution Analysis of Two Geophysical Imaging Methods for Characterizing and Monitoring Hydrologic Conditions in the Vadose Zone
This project has been designed to analyze the resolution of two different geophysical imaging techniques (electrical resistivity tomography and cross-borehole ground penetrating radar) for monitoring subsurface flow and transport processes within the vadose zone. This is to be accomplished through a coupled approach involving large scale unsaturated flow modeling, petrophysical conversion of the resulting 2 and 3 Dimensional water content and solute concentration fields to geophysical property models and generation of synthetic geophysical data, followed by the inversion of the synthetic geophysical data. The resolution, strengths, and limitations of the geophysical techniques will then be ascertained through an analysis involving comparisons between the original hydrologic modeling results and inverted geophysical images. Increasing levels of complexity will be added to the models as the project progresses through the addition of heterogeneity in the original hydrologic property model, and by adding uncertainty to the petrophysical relationship that couples the geophysical model to the hydrologic modeling results
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A Hybrid Hydrologic-Geophysical Inverse Technique For The Assessment And Monitoring Of Leachates In The Vadose Zone
At many DOE facilities, the presence of radioactive wastes and other contaminants within the vadose zone poses a serious and ongoing threat to public health and safety. In many cases these contaminants have been introduced directly to the vadose zone through releases on the surface or in shallow pits, and through leaking storage facilities. To reduce the environmental risks these wastes pose, the DOE is currently considering two fundamentally different approaches. The first involves remediation by treating contaminants in-place while the second, and more economically feasible being examined by DOE, involves in-situ immobilization of the wastes. Immobilization would be achieved through both injection of subsurface grout barriers to block transport pathways and installation of surface caps to prevent additional water infiltration into contaminated formations. A necessary requirement of both remediation approaches is the need to obtain information on the spatial distributions of the hydraulic and transport properties, the amount of contamination in place, and flow and transport processes that are occurring. With this information in hand, informed decisions can be made in order to optimize the remediation process for each particular case. In particular, these capabilities could result in reduced remediation costs, as well as providing necessary data to illustrate regulatory compliance. To reach these goals, existing monitoring technologies need to be improved and innovative technologies need to be developed to measure the spatial distribution of, and the temporal changes in moisture contents and contaminant concentrations within the vadose zone. The primary objective of the funded research addressed these needs through the development and field-testing of a Hybrid Hydrologic-Geophysical Inverse Technique (HHGIT). The resulting technology provides the ability to both monitor the evolution of certain types of contaminant plumes, and to characterize hydrologic properties within the vadose zone at contaminated sites. The HHGIT combines geophysical measurements such as electrical resistivity tomography (ERT), cross borehole ground penetrating radar (XBGPR), neutron moisture logs, sparse hydrologic data, and geostatistical information on the geologic heterogeneity to provide 2- and 3-D of moisture and hydrologic property distributions. By linking these three types of information into a single inversion, much better estimates of spatially varying hydraulic properties can be obtained than could be from interpreting the data types individually. Because the method is a geostatistically based estimation technique, the estimates represent conditional mean hydraulic property fields. Thus, this method quantifies the uncertainty of the estimates as well as the estimates themselves
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Numerical Analysis Of Three Component Induction Logging In Geothermal Reservoirs
This project is supporting the development of the ''Geo-Bilt'', geothermal electromagnetic-induction logging tool that is being built by ElectroManetic Instruments, Inc. The tool consists of three mutually orthogonal magnetic field antennas, and three-component magnetic field receivers located at different distances from the source. In its current configuration, the source that has a moment aligned along the borehole axis consists of a 1m long solenoid, while the two trans-axial sources consist of 1m by 8cm loops of wire. The receivers are located 2m and 5m away from the center of the sources, and five frequencies from 2 kHz to 40 kHz are being employed. This study is numerically investigating (1) the effect of the borehole on the measurements, and (2) the sensitivity of the tool to fracture zone-geometries that might be encountered in a geothermal field. The benefits of the results are that they will lead to a better understanding of the data that the tool produces during its testing phase and an idea of what the limitations of the tool are