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Utah FORGE 3-2417: Well 16B(78)-32 Fiber-Optic Cable Installation Report

This is an installation report detailing placement of the integrated fiber-optic cable behind casing in Utah FORGE well 16B(78)-32. These activities occurred in July of 2023 immediately after the drilling of 16B. This report was prepared by the FOGMORE R&D project (Fiber Optic MOn...

Ajo-Franklin, J. et al Rice University

May 15, 2024
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Data of High-Temperature Dynamic LCM Testing Setup

Data from high temperature dynamic sealing tests for various fracture widths, at various temperatures (degrees F), with 5 wt.% bentonite-based mud containing various material fiber contents, at 100 to 400 psi differential pressure. Data from pressure test and evaluation of the dy...

Magzoub, M. et al University of Oklahoma

May 31, 2021
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WISE-CASING: Seismic Experiment at Richmond Field Station, CA

This experiment is testing the tube waves reflected from the bottom of the well. We put six single-channel geophones on the surface and a 24-channel downhole hydrophone into the well. The well is about 30 meters deep. Just a steel casing in the sand formation, no cement.

Wu, Y. et al Lawrence Berkeley National Laboratory

Apr 25, 2018
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WISE-CASING: Time Domain Reflectometry Data from Lab Experiment on Steel Pipe

The steel pipe experiment conducted in the lab was using 6 meter low-carbon steel pipe. We tested it with both dry and in-water condition. In the dry experimental setup, a coaxial cable acting as a return path in the air.

Wang, J. and Wu, Y. Lawrence Berkeley National Laboratory

Jul 23, 2019
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WISE-CASING: Time Domain Reflectometry Data from Lab Experiment on Coaxial Cable

The coaxial-cable experiment conducted in the lab was with 80 m coaxial cable( RG-85). This experiment compares the TDR response between damaged and undamaged cable. For the damaged cable, the damaged section is in the middle (40 m). The amplitude of the data is mV with time (us).

Wu, Y. and Wang, J. Lawrence Berkeley National Laboratory

Mar 15, 2018
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High-Pressure and High-Temperature (HPHT) Lost Circulation Material (LCM) Testing

High-pressure and high-temperature (HPHT) lost circulation material (LCM) rheology test results, LCM particle size distributions (PSD) analysis, and HPHT LCM fluid loss test results. Three academic papers / reports derived from this research are also presented.

Salehi, S. and Vivas, C. University of Oklahoma

Nov 30, 2021
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WISE-CASING: Frequency Domain EM Data from Cymric Oil Field, CA

Cymric oil field frequency domain electromagnetic (FEM) data with two parts of data labeled Part 1 and Part 2. Part 1 utilizes an electrical source line parallel to the receiver line, while Part 2 utilizes an electrical source line at a 75 deg angle to the receiver line. Data are ...

Wang, J. et al Lawrence Berkeley National Laboratory

Apr 30, 2019
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WISE-CASING: Time Domain Reflectometry Data from Cymric Field, CA

The objective of this field test is to validate several technologies for non-invasive well integrity assessment using existing wells with a known completion. The tests were made at the Cymric oil field, which is a steam flood operation. The wells therefore undergo similar downhole...

Wang, J. Lawrence Berkeley National Laboratory

Feb 21, 2019
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Testing LCM on a Large Scale for Geothermal Drilling Applications Using a Novel Experimental Setup

Rheology data obtained from flow loop tests, performed using different lost circulation materials (LCM) to study their effect on fluid rheology and wellbore hydraulics. The sealing performance of different LCM was tested using different fracture sizes. Five academic papers / repor...

Mohamed, A. et al University of Oklahoma

Apr 22, 2022
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WISE-CASING: DC Simulation at Containment and Monitoring Institute (CaMI), Calgary, Canada

For the model calculation we applied EM3D using completion diagram of CaMI site and a background resistivity consistent with the borehole logs. It was also important to use the accurate position of the return electrode. We note that for the data fit the code also incorporated we...

Wang, J. and Wilt, M. Lawrence Berkeley National Laboratory

Apr 30, 2019
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