Kansas Geological Survey, Open-file Report 2001-10
by Jianghai Xia
Kansas Geological Survey
1930 Constant Avenue, Campus West
Lawrence, KS 66047
KGS Open File Report 2001-10
April 2001
To find these abandoned brine wells is a part of the Hutchinson Response Project. Some known wells in the mobile home park had steel cased pipes (Figure 1). The length of vertical steel pipe normally is 400 - 700 ft. The maximum gravity signal cased by this pipe is only 4 - 6 microGal. The predicted anomaly is too weak to use a microgravity survey to find these wells because the sensitivity of the most advanced gravity meter is at a one microGal level. A ground penetrating radar (GPR) survey may be useful to locate these wells. The ground is dirt fill, however, and there could be a lot of reflected/diffracted events caused by objects other than the brine wells. Furthermore, time spent on GPR data acquisition and processing could be much longer than people expect.
Figure 1. Well 8C, the abandoned brine well where the explosion occurred in the mobile home park.
I proposed to use the eletromagnetic (EM) method to search for wells. A GEM2 (Figure 2) is an EM instrument that can survey an area quickly and with great detail (Won, 1980). Data can transferred into a notebook computer and maps generated within a few minutes after the survey is done. The GEM2 is a portable, digital, broadband electromagnetic sensor. Multi-frequency data are acquired simultaneously with a maximum sampling rate of 30 Hz when an instrument operator walks along a survey line. For each frequency, both in-phase and quadrature components of the induced EM field in ppm (parts per million relative to the primary field) were recorded. The measured in-phase and/or quadrature responses can be used to calculate apparent conductivity based on a homogeneous half-space assumption by Won et al. (1996 and 1997). Apparent conductivity is a parameter that in general is related to targeted electrical properties and has units of conductivity. Apparent conductivity is a method of normalization of the EM data; it makes data analysis and interpretation easier for both geophysicists and other scientists. If the earth were truly homogeneous, the apparent conductivity would be the same at all frequencies and equal the true earth conductivity data (Huang and Won, 2001). In the real world, conductivity measurements are "bulk" or apparent conductivity. We will omit a word "apparent" in the later discussion and figures.
Figure 2. Photo of GEM2 in operation.
Quadrature data are proportional to the ground conductivity in the low to middle induction numbers, but are inversely proportional to the conductivity at middle to high induction numbers. Thus, a moderate conductor may produce a strong quadrature anomaly, whereas a good conductor may produce a weak anomaly or no anomaly. In either case in-phase data have to be used for further analysis (Huang and Won, 2001). An anomaly shown on conductivity maps should also show on in-phase and/or quadrature data. The investigation depth is dependent on frequency of the instrument used in the survey. There is no exact relation between instrument frequency and the investigation depth.
Figure 3. A view of the area around well 8C.
Figure 4. Pattern of data acquisition.
Well 8C--Click on figures to view larger versions | |
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Figure 5a. 2430 Hz in Phase. | Figure 5b. 2430 Hz Quadrature. |
Figure 5c 7290 Hz in Phase. | Figure 5d 7290 Hz Quadrature. |
Figure 5e 18270 Hz in Phase. | Figure 5f 18270 Hz Quadrature. |
2430 Hz (I) | 2430 Hz (Q) | 7290 Hz (I) | 7290 Hz (Q) | 18270 Hz (I) | 18270 Hz (Q) |
1700 | 1200 | 2500 | 1700 | 2700 | 2000 |
Figure 6. Location map of project areas.
Figures 7a - 7f and Figures 8a - 8f present the south and north parts of the GEM2 results, respectively. The linear anomaly along a line (x = 195) in 7290 and 18270 Hz was caused by a gas pipe line. Anomaly 1 was identified at point (65, 161) (Table 2). No bulls-eyes were shown on quadrature components with 7290 Hz and 18270 Hz. For the lower frequency (2430 Hz) signals (Figure 8b), however, a broader and negative bulls-eye anomaly with lower amplitude clearly showed up. This anomaly also showed up on in-phase results with all three frequencies (Figure 8a, 8c, and 8e). This anomaly may be caused by a buried well.
South survey, Corner of 11th and Chemical Click on figures to view larger versions |
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Figure 7a. 2430 Hz in Phase. | |
Figure 7b. 2430 Hz Quadrature. | |
Figure 7c 7290 Hz in Phase. | |
Figure 7d 7290 Hz Quadrature. | |
Figure 7e 18270 Hz in Phase. | |
Figure 7f 18270 Hz Quadrature. |
North survey, Corner of 11th and Chemical Click on figures to view larger versions |
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Figure 8a. 2430 Hz in Phase. | |
Figure 8b. 2430 Hz Quadrature. | |
Figure 8c 7290 Hz in Phase. | |
Figure 8d 7290 Hz Quadrature. | |
Figure 8e 18270 Hz in Phase. | |
Figure 8f 18270 Hz Quadrature. |
Table 2. Amplitudes (in ppm) of EM signals from anomaly 1 at point (65, 161).
2430 Hz (I) | 2430 Hz (Q) | 7290 Hz (I) | 7290 Hz (Q) | 18270 Hz (I) | 18270 Hz (Q) |
2900 | 900 | 3500 | n/a | 3600 | n/a |
The second anomaly was identified at point (137, 99). This anomaly showed a high-low-high pattern in in-phase components (Figures 8a, 8c, and 8e) and a positive bulls-eye shape in quadrature components of three frequencies (Figures 8b, 8d, and 8f). The source for this anomaly was interpreted as something like metal junk but was not believed to be caused by a brine well.
The third anomaly was identified at point (137, 53). This anomaly showed the same pattern as the second anomaly. This anomaly showed a high-low-high pattern in in-phase components (Figures 7a, 7c, and 7e) and a positive bulls-eye shape in quadrature components of three frequencies (Figures 7b, 7d, and 7f). The source for this anomaly was also interpreted as possibly metal junk but not a brine well.
The fourth anomaly was not identified in the field. It is located at (110, 40). This anomaly showed a negative bulls-eye on all components except for the 18270 Hz quadrature component (Figures 7a - 7f). The 2430 Hz results showed the highest amplitude in three frequencies (Table 3). Comparing Table 3 with Table 1, we think this anomaly may be caused by a buried well.
Table 3. Amplitudes (in ppm) of EM signals from anomaly 4 at point (110, 40).
2430 Hz (I) | 2430 Hz (Q) | 7290 Hz (I) | 7290 Hz (Q) | 18270 Hz (I) | 18270 Hz (Q) |
2800 | 1400 | 3600 | 700 | 3600 | n/a |
Figure 9. Anomaly one was caused by buried steel pipes.
Figure 10. Anomaly two was caused by several pieces of junk metal.
Anomaly four was not identified in the field so it has not been verified so far.
First area, Office Building of Rawhide Trucking Click on figures to view larger versions |
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Figure 11a. 2430 Hz in Phase. | |
Figure 11b. 2430 Hz Quadrature. | |
Figure 11c 7290 Hz in Phase. | |
Figure 11d 7290 Hz Quadrature. | |
Figure 11e 18270 Hz in Phase. | |
Figure 11f 18270 Hz Quadrature. |
Second area, Office Building of Rawhide Trucking Click on figures to view larger versions |
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Figure 12a. 2430 Hz in Phase. | Figure 12b. 2430 Hz Quadrature. |
Figure 12c 7290 Hz in Phase. | Figure 12d 7290 Hz Quadrature. |
Figure 12e 18270 Hz in Phase. | Figure 12f 18270 Hz Quadrature. |
By comparing Figures 11 and 12 with signals from well 8C (Figure 4), it is easy to conclude that there was no anomaly that could be caused by brine wells. In Figure 11, one anomaly at approximately (25, 4) was caused by an air-conditioner water-drain system. This anomaly was strong and visible on both in-phase and quadrature components of three frequencies. Two linear anomalies with a northwest-southeast orientation were caused by a gas pipe and a water pipe. Theoretical speaking, anomalies due to utility pipes should be shown in a straight line pattern. The zigzag pattern shown in Figure 11 is due to the way the operator walked along the lines and the horizontal resolution of the GEM2. The quadrature results (Figures 11b, 11d, and 11f) possess higher resolution than in-phase results (Figures 11a, 11c, and 11e).
In patch 2 (Figure 12), one anomaly located at point (17, 15) was caused by the steel cap of a septic tank. It was visible on both components of three frequencies.
Won, I.J., 1980, A wideband electromagnetic exploration method--Some theoretical and experimental results: Geophysics, 45, 928-940.
Won, I.J., Keiswetter, D., Hanson, D., Novikova, E., and Hall, T. 1997, GEM-3: A Monostatic Broadband Electromagnetic Induction Sensor: Journal of Environmental and Engineering Geophysics, 2, No. 1, pp. 53-64.
Won, I.J., Keiswetter, D.A., George, R. A. Fields, and Sutton. L.C., 1996, GEM-2: A new multifrequency electromagnetic sensor: Journal of Environmental & Engineering Geophysics, 1, 129-137.