Joint sensor orientation and velocity model calibration

US11215722B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11215722-B2
Application numberUS-202016855925-A
CountryUS
Kind codeB2
Filing dateApr 22, 2020
Priority dateApr 25, 2019
Publication dateJan 4, 2022
Grant dateJan 4, 2022

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

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.

First claim

Opening claim text (preview).

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.

Assignees

Inventors

Classifications

  • for determining velocity profiles or travel times · CPC title

  • Structural details · CPC title

  • G01V1/288Primary

    Event detection in seismic signals, e.g. microseismics (G01V1/36 takes precedence) · CPC title

  • G01V1/282Primary

    Application of seismic models, synthetic seismograms · CPC title

  • Subsurface, e.g. in borehole or below weathering layer or mud line · CPC title

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What does patent US11215722B2 cover?
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 …
Who is the assignee on this patent?
Schlumberger Technology Corp
What technology area does this patent fall under?
Primary CPC classification G01V1/288. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jan 04 2022 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).