S-wave anisotropy estimate by automated image registration

US9784863B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9784863-B2
Application numberUS-201214239753-A
CountryUS
Kind codeB2
Filing dateMay 11, 2012
Priority dateSep 26, 2011
Publication dateOct 10, 2017
Grant dateOct 10, 2017

How to read this patent

A practical reading order for non-experts. Skip the full description unless you need deep technical detail.

  1. Title

    What the patent document calls the invention.

  2. Abstract

    A short plain-language summary of the technical disclosure.

  3. Assignees and inventors

    Who owns or filed the patent and who is credited as inventor.

  4. Key dates

    Filing, priority, publication, and grant dates set the timeline.

  5. First independent claim

    The legal scope of protection — read this for what is actually claimed.

  6. CPC / IPC classifications

    Technology tags used to group this patent with similar filings.

  7. Citations and related patents

    Prior art links and similar publications in this corpus.

Abstract

Official abstract text for this publication.

The present disclosure provides a system and method for estimating fracture density within a subsurface formation from S-wave seismic data. In one embodiment, the S-wave seismic data is separated into fast (“S 1 ”) and slow (“S 2 ”) data. A computer is used to compute local similarity of the S 1 and S 2 data and to compute a cumulative time-difference by which the S 2 data lags the S 1 data from the local similarity. Based on the computed cumulative time-difference, the fracture density of a subsurface formation is estimated.

First claim

Opening claim text (preview).

What is claimed is: 1. A method, comprising: obtaining S-wave seismic data of a subsurface formation, wherein the S-wave seismic data is acquired from the subsurface formation using multi-component receivers adapted to measure a plurality of motion vector components including two horizontal components, the S-wave seismic data comprising a plurality of seismic time samples; separating the S-wave seismic data into fast (“S 1 ”) and slow (“S 2 ”) data; using a computer to compute local similarity of the S 1 and S 2 data at each time sample; using a computer to compute at each time sample a cumulative time-difference by which the S 2 data lags the S 1 data from the local similarity, wherein computing the cumulative time-difference includes, performing a local similarity attribute scan between the S 1 and S 2 data; generating a warping function, w(t), by detecting areas of similarity in the local similarity attribute scan, and determining the cumulative time-difference, ΔT S cum (t), based upon w(t); calculating an instantaneous S-wave time-difference, δt S ins (t), at each seismic time sample from the cumulative S-wave time difference; estimating fracture density within the subsurface formation from the cumulative time-difference, ΔT S cum (t); and drilling a well into the subsurface formation based at least in part on the fracture density. 2. The method of claim 1 , wherein the cumulative time-difference, ΔT S cum (t), is determined using a formula that can be expressed as Δ T S cum ( t )=( w ( t )−1) t, where t is reflection travel time. 3. The method of claim 1 , further comprising: generating time-compensated S 2 data based upon the →T S cum (t) to time shift the S 2 data. 4. The method of claim 1 , wherein the subsurface formation has a primary fracture direction, the S 1 and S 2 data is generated by vector-rotating the horizontal components to directions parallel and normal to the primary fracture direction. 5. The method of claim 1 , wherein the S 1 and S 2 data are generated by performing a layer stripping process on the S-wave seismic data to generate the S 1 data and a registered S 2 data which has a time-difference applied and removing the time-difference applied to the registered S 2 data to generate the S 2 data. 6. The method of claim 1 , wherein the instantaneous S-wave time-difference is calculated using a formula that can be expressed as δ ⁢ ⁢ t S ins ⁡ ( t ) = d ⁢ ⁢ Δ ⁢ ⁢ T S cum ⁡ ( t ) d ⁢ ⁢ t . 7. The method of claim 6 , further comprising: estimating the fracture density based on δ S ins (t). 8. The method of claim 1 , further comprising: producing hydrocarbons from the well.

Assignees

Inventors

Classifications

  • G01V1/284Primary

    Application of the shear wave component and/or several components of the seismic signal · CPC title

Patent family

Related publications grouped by family.

External sources

Frequently asked questions

Answers are generated from the same data shown on this page.

What does patent US9784863B2 cover?
The present disclosure provides a system and method for estimating fracture density within a subsurface formation from S-wave seismic data. In one embodiment, the S-wave seismic data is separated into fast (“S 1 ”) and slow (“S 2 ”) data. A computer is used to compute local similarity of the S 1 and S 2 data and to compute a cumulative time-difference by which the S 2 data lags the S 1 data…
Who is the assignee on this patent?
Bansal Reeshidev, Fomel Sergey, Matheney Michael P, and 1 more
What technology area does this patent fall under?
Primary CPC classification G01V1/284. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Oct 10 2017 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 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).