Crosswell microseismic system
US-2018095184-A1 · Apr 5, 2018 · US
US11215722B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11215722-B2 |
| Application number | US-202016855925-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 22, 2020 |
| Priority date | Apr 25, 2019 |
| Publication date | Jan 4, 2022 |
| Grant date | Jan 4, 2022 |
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A method can include receiving microseismic data of microseismic events as acquired by sensors during hydraulic fracturing of a geologic region; jointly calibrating sensor orientation of the sensors and a velocity model of the geologic region via an objective function and the microseismic data; and, based at least in part on the jointly calibrating, determining one or more locations of the one or more microseismic events.
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What is claimed is: 1. A method ( 1000 ) comprising: receiving microseismic data of microseismic events as acquired by sensors during hydraulic fracturing of a geologic region ( 1010 ); jointly calibrating sensor orientation of the sensors and a velocity model of the geologic region via an objective function and the microseismic data ( 1020 ), and adjusting an orientation of at least one of the sensors based at least in part on the jointly calibrating; and based at least in part on the jointly calibrating, determining one or more locations of the one or more microseismic events ( 1030 ). 2. The method of claim 1 wherein the one or more locations correspond to a fracture generated by the hydraulic fracturing. 3. The method of claim 1 wherein the objective function comprises at least one signal-to-noise ratio (SNR) term selected from a P-wave SNR term (SNRP) and an S-wave SNR term (SNRS). 4. The method of claim 1 wherein the objective function comprises a coalescence microseismic mapping objective function. 5. The method of claim 1 wherein the velocity model is a 1D velocity model. 6. The method of claim 1 comprising, based at least in part on the one or more locations, determining whether a fracture generated by the hydraulic fracturing conforms to a planned fracture. 7. The method of claim 1 wherein the sensors comprise three-component seismic sensors. 8. The method of claim 1 wherein the sensors comprise sensors disposed in one or more boreholes, wherein a borehole of the one or more boreholes comprises a borehole coordinate system and wherein a sensor of the sensors comprises a corresponding housing that comprises a housing coordinate system wherein sensor orientation is defined with respect to the borehole coordinate system and the housing coordinate system. 9. One or more computer-readable storage media comprising computer-executable instructions to instruct a system to perform a method according to any of claims 1 to 8 . 10. A system ( 1100 ) comprising: a processor ( 1102 ); memory ( 1104 ) accessible by the processor; processor-executable instructions stored in the memory that comprise instructions to instruct the system to: receive microseismic data of microseismic events as acquired by sensors during hydraulic fracturing of a geologic region ( 1011 ); jointly calibrate sensor orientation of the sensors and a velocity model of the geologic region via an objective function and the microseismic data ( 1021 )), and adjust an orientation of at least one of the sensors based at least in part on the jointly calibrating; and based at least in part on the jointly calibration, determine one or more locations of the one or more microseismic events ( 1031 ). 11. The system of claim 10 wherein the one or more locations correspond to a fracture generated by the hydraulic fracturing. 12. The system of claim 10 wherein the objective function comprises at least one signal-to-noise ratio (SNR) term. 13. The system of claim 10 wherein the objective function comprises a coalescence microseismic mapping objective function. 14. The system of claim 10 wherein the velocity model is a 1D velocity model.
for determining velocity profiles or travel times · CPC title
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Event detection in seismic signals, e.g. microseismics (G01V1/36 takes precedence) · CPC title
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