PROCEEDINGS, Thirty-Ninth Workshop on Geothermal Reservoir Engineering Stanford University, Stanford, California, February 24-26, 2014 SGP-TR-202 1 Testing the Application of Low Amplitude Seismic Emission Analysis for Detection of Microseisms Generated by Geothermal Fluid Flow Through Fractures Underlying the Western Flank of Newberry Volcano, Oregon Albert F. Waibel 1 and Zachary S. Frone 2 [email protected]1 , [email protected]2 Keywords: Newberry Volcano, seismic ABSTRACT Davenport Resources was awarded a DOE grant 109 in 2010 to conduct a combination of traditional and innovative geothermal exploration tools on Newberry Volcano. An important component of this grant was the testing the application of Low Amplitude Seismic Emission Analysis (LASEA) for detecting and locating low amplitude noise generated by geothermal fluid flowing through formation fractures. Davenport Resources engaged Apex HiPoint (now Sigma3) to deploy two arrays of seismometers in cased shallow wells on the western flank of Newberry Volcano. The first array was deployed in December of 2011. The second array was deployed in September, 2013, and was coordinated with flowing well NWG 46-16. Final analysis is not available, as processing of data is still on-going. Results to date, however, show signals from the vicinity of NWG 46-16. Additional analysis of the large data base should show a correlation or lack of correlation between the signals and the timing of the well discharge. 1. INTRODUCTION Davenport Resources (Davenport) was awarded a DOE grant 109 to test a combination of traditional and innovative exploration tools for the identification of blind geothermal targets in a volcanic terrain. The test location was the western flank of Newberry Volcano in central Oregon (Figure 1). Data from drill holes had identified a large thermal anomaly underlying the west flank. Four deep exploration test wells had been drilled in the northern portion of the western flank. Three of the four holes intersected rock with measured temperatures from 288°C to greater than 315°C, though no evidence of fracture interconnectivity (wells CE 86-21 and CE 23-22, drilled by California Energy Company and well NWG 55-29, drilled by Davenport). The fourth well, NWG 46-15, drilled by Davenport, intersected geothermal fluid-bearing fractures with comparable temperature/depth values as the three other deep wells. This well was not fully tested due to formation problems near the 5,000 ft. depth, below the casing (Waibel et a., 2012; Waibel, 2013). However this well flowed on its own without stimulation when opened in September 2013. Zucca and Evans (1992) identified areas within the Newberry Volcano caldera and under the western flank they inferred to host two-phase geothermal fluid (Figure 2). The inference of boiling geothermal fluid was based on interpretations of seismic velocity and attenuation. Davenport's geothermal discovery well, 46-16, complements the conclusions of Zucca and Evans. A critical question for the Davenport scientific team was: What is the geometry of the hydrothermal fracture system identified by this one-well-point discovery? Results of the MT survey provided no insight into the resolution of this question, as the location of this hydrothermal cell intersected by well 46-16 was not identified by the MT data. The efforts by Zucca and Evans lead the team to consider seismic techniques as a possible solution. As part of the Davenport DOE Grant 109 program the team proposed a trial adaptation of a passive seismic tool used in the oil and gas industry for the location and geometry imagery of fractures hosting fluid flow. Apex HiPoint (now Sigma3) worked with the Davenport team to design a test program using their newly patented Low Amplitude Seismic Emission Analysis (LASEA) program. The low-amplitude seismic emission array had been successfully deployed by Apex Highpoint/Sigma3 in the oil and gas industry to identify the location and geometry of fluid flow within natural and induced fractures. This experimental program was designed as a test effort to adapt technology from the oil and gas industry to hydrothermal exploration. Initial questions regarding transferring this tool to a volcanic geothermal environment were: (1) would the array be able to pick up deeper signals at reasonable distances from each monitoring hole to be useful, and (2) would surface microseismic noise drowned out any deeper low amplitude signal sources?
9
Embed
Application of Low Amplitude Seismic Emission Analysis to ... › ERE › pdf › IGAstandard › ... · The initial seismic energy computations were made for a single horizontal
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
PROCEEDINGS, Thirty-Ninth Workshop on Geothermal Reservoir Engineering
Stanford University, Stanford, California, February 24-26, 2014
SGP-TR-202
1
Testing the Application of Low Amplitude Seismic Emission Analysis for Detection of
Microseisms Generated by Geothermal Fluid Flow Through Fractures Underlying the
Lowest Amplitudes: September 09 – General activity increases throughout the area and in particular near observation well nn07 which had previously been a particularly quiet location.
nn07
nn09 nn21nn24
nn19
55-29
46-16
Sept 9: 12 AM
Sept 9: 12 PM
Figure 9: Low amplitude signals detected, with a bandpass filter of 15 to 52 HZ, by the northern array during and
subsequent to flowing of well NWG 46-16. Figure from Sigma3 interim report.
Figure 10: Very low amplitude signals, with a bandpass filter of 15 to 52 HZ, detected by the northern array 5 days after the
last flowing of well NWG 46-16. Figure from Sigma3 interim report.
Waibel and Frone
8
Figure 11: Grid nodes for this calculation were within the red boundaries shown with a 100 m grid. Seismic data had a
bandpass filter of 40 to 135 Hz. Please note signal pattern in figure 9 which includes this time frame.
4. CONCLUSIONS
The results of the southern array are inconclusive with regard to fluid flow. A dominant recurring pattern of signals with a north-
northwest strike were recorded. The interpretation of this pattern, however, is open speculation. This strike and location do not
match any observed physical surface trends, and does not show up on the gravity, aeromagnetic or MT surveys. There is no obvious
unique interpretation of this signal pattern that is supported by corroborating evidence. Fluid movement along a permeable plane is
possible. A more favored interpretation is that of a planer structure which is capable of reflecting signals from unknown sources.
This structural interpretation is sympathetic to the strike of a volcanic vent trend which passes through the caldera and extends well
to the NNW on the flank of the volcano. The strike is also similar to the strike of the structural boundary between the La Pine
graben along the western edge of the volcano (Waibel et al., 2012).
The northern array should have been a good controlled source test for evaluation of LASEA as a potential hydrothermal exploration
tool. Key to the test was to have monitoring wells located to provide good geometric coverage around well NWG 46-16. Important
monitoring to the north of the well did not happen. All of the completed monitoring wells are to the south of the well, providing
coverage for only a 120 degree arc, leaving a 240 degree arc around the well uncovered. Seismic signals in the vicinity of well
NWG 55-29, particularly the high amplitude signals, are clearly identified and are likely related to EGS fluid injection efforts
designed to induce formation shearing (Figure 8).
The products of data processing to date do not show unique evidence that the array has been able to identify unambiguous signals
generated by movement of hydrothermal fluid within the well bore or in fractures feeding fluid to the well bore. Figure 11 shows
the signal distribution during the second flow episode of well NWG 46-16, though processing data from only the area immediately
in the vicinity of NWG 46-16. Figure 9, which includes the time frame of figure 11, shows signals in the vicinity of NWG 46-16
indistinguishable from a more regional pattern. The high amplitude results prior to flowing well NWG 46-16 shown in figure 8
identify no signals in the vicinity of well NWG 46-16. Low amplitude signals from 5 days after the well had been flowed (Figure
10) show similar signal patterns covering broad areas, including in the vicinity of well NWG 46-16. Comparative processing of
data from non-well-flowing periods, or of the other two flow events, has yet to be completed, leaving the empirical evaluation of
this test incomplete.
A number of issues cannot be addressed until the complete data processing is available. The preliminary results shown in figures 8,
9 and 10 are not encouraging. The results shown in Figure 11 may be encouraging, though the uniqueness of this pattern to NWG
46-16 flow events has yet to be demonstrated. Additional data processing by Sigma3 will cover a depth range from 5,000 ft. to
15,000 ft. with more constrained timing blocks. For now the scientific team eagerly awaits the final data processing results.
Waibel and Frone
9
REFERENCES
Apex HiPoint, 2012, Data processing Results: Davenport Newberry Volcano Project. Unpublished report submitted to Davenport
Newberry.
Sigma3, 2014, An Interim Report for the 2013 Newberry Low-Amplitude Passive Seismic Monitoring Project. Unpublished report
to Alta Rock Energy.
Waibel, A., Frone, Z and Jaffe, T.: Geothermal Exploration at Newberry Volcano, Central Oregon, Geothermal Resources Council
Transactions (2012).
Waibel, A., Beard, L., and Oppliger, G.: The Evolving Role of MT in Geothermal Exploration at Newberry Volcano, Oregon,
Proceedings, 38th Workshop on Geothermal Reservoir Engineering, Stanford University, Stanford, CA (2013).
Zucca, J. and Evans,J.: Active High-Resolution Compressional Wave Attenuation Tomography at Newberry Volcano, Central