Automated Author ProfileIngraham, Mathew
Ingraham, Mathew
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 6.8 (sum of 5 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This is a presentation on the Application of Advanced Techniques for Determination of Reservoir-Scale Stress State at FORGE by the University of Oklahoma, presented by Ahmad Ghassemi. This video discusses how magnitude and orientation of natural in-situ principal stresses at depth is necessary for effective and economical geothermal reservoir development including drilling, stimulation, and reservoir management. This presentation was featured in the Utah FORGE R&D Annual Workshop on August 13, 2024.
Authors
- Ghassemi, Ahmad ;
- Chen, Xaiowei ;
- Ingraham, Mathew
Multiple sets of tracer tests were conducted at the EGS Collab Testbed 2 on the 4100 L at the Sanford Underground Research Facility (SURF), Lead, SD. The enclosed data package includes: tracer recovery results, water balance calculations and rationales, water flow measurement for north ditch, (manual) water flow measurements at different production points, and a tracer-interpretation paper presented at the Stanford Geothermal Workshop, 2023.
Authors
- Neupane, Ghanashyam ;
- Mattson, Earl ;
- Plummer, Mitchell ;
- Vermeul, Vince ;
- Sirota, Dana ;
- Ingraham, Mathew ;
- Kneafsey, Tim
This dataset provides a set of experimental data on the performance of lost circulation materials (LCMs) used in geothermal drilling operations. It includes results from four distinct tests: thermal degradation, viscosity measurements, compression tests, and high-temperature flow loop experiments. The materials tested, such as cedar fiber, cotton seed hulls, magma fiber, microcellulose, and sawdust, were analyzed under a range of conditions to assess their effectiveness in mitigating fluid losses in geothermal wells. Data on thermal degradation explores mass loss, water loss, and gas release for each material when subjected to temperatures between 90C and 250C. Viscosity measurements capture the behavior of LCM mixtures under different temperatures, while compression tests investigate the structural integrity of both undegraded and thermally degraded materials. The high-temperature flow loop experiments simulate geothermal well conditions, analyzing how different materials and mixtures affect fluid flow and sealing performance in a fractured reservoir environment. In addition to the experimental data, the dataset includes photos documenting the materials, schematics of test setups, and several published manuscripts that provide detailed insights into the experimental methods and findings.
Authors
- Kibikas, William ;
- Nakagawa, Seiji ;
- Ingraham, Mathew ;
- Bauer, Stephen ;
- Chang, Chun ;
- Dobson, Patrick ;
- Kneafsey, Timothy ;
- Samuel, Abraham
Stimulation data from Experiment 1 of EGS Collab, which occurred on the 4850 ft level of the Sanford Underground Research Facility (SURF). A detailed description of the stimulation data is provided in the StimulationDataNotes.docx and is also available on the EGS Collab Wiki. A Meta Data Cheat Sheet, which describes all of the channels in the Raw CSV files, is available as well. Note that this cheat sheet is a comprehensive meta data descriptor and channels were added as the experiment evolved. This means that some columns may not be populated in early data. Additionally, we have included the chat logs from these experiments. The experiments were broadcast over teleconferencing software and real-time data displays were available to remote observers. The logs contain important observations from those personnel performing the experiment and the remote contributors. Finally, we have included summary and individual plots of all of the data for the user to compare to.
Authors
- Fu, Pengcheng ;
- Knox, Hunter ;
- Schwering, Paul ;
- Strickland, Christopher ;
- Linneman, Dorothy ;
- Vermeul, Vince ;
- Burghardt, Jeff ;
- Ingraham, Mathew
This package includes data from two days of testing at the Sanford Underground Research Facility (SURF) on the 4100 level. The tests were performed in borehole TV4100 in the battery charging alcove south of the Yates shaft. TV4100 is a vertical borehole ~50 meters deep. A series of hydraulic fracture (mini-frac) and reopening tests were conducted at various depths to investigate the magnitude and direction of the minimum principal stress in that area of the mine. Apparent features of the pressure time/pressure injected volume curves are the onset of fracture, peak pressure, and the initial shut in pressure (ISIP). The raw data files include a Readme with the day, time, and location of each file. The files are organized into 9 columns: time (sec), flow meter (V), Pressure of Return (V), Pressure of Packer (V), Pressure of Injection (V), flow (gpm), Pressure of Return (psi), Pressure of Packer (psi), Pressure of Injection (psi). The shift reports are a short log of how the tests were run in the two-day period. An American Geophysical Union (AGU) 2019 presentation by Ingraham et al. is shown to provide visualization/interpretation of the data. The columns which report voltage (V) show the unscaled voltage value from the transducer, which was recorded in case pressure values needed to be rescaled due to incorrect calibration factors. This was not necessary. Results reported in the AGU poster were filtered with a moving average to remove pump noise before presentation. Note that the logging and impression packer results are included in separate datasets managed by Lawrence Berkeley Laboratory.
Authors
- Ingraham, Mathew