中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

8 records (took 0.013 seconds)

    SYSTEMS AND METHODS OF GENERATING HIGH RESOLUTION SEISMIC USING SUPER RESOLUTION INVERSION
    3.
    发明公开
    SYSTEMS AND METHODS OF GENERATING HIGH RESOLUTION SEISMIC USING SUPER RESOLUTION INVERSION 审中-公开

    公开(公告)号：US20240045091A1

    公开(公告)日：2024-02-08

    申请号：US18230815

    申请日：2023-08-07

    Applicant: ConocoPhillips Company

    Inventor： Chengbo Li ,  Baishali Roy ,  Charles C. Mosher

    IPC: G01V1/30

    CPC classification number: G01V1/302 ,  G01V2210/632 ,  G01V2210/665

    Abstract: Systems and methods for reservoir modeling include a super resolution seismic data conversion platform for converting input seismic data into high resolution output seismic data. The super resolution seismic data conversion platform can perform a super resolution inversion on the input seismic data by imposing sparsity and/or coherency assumptions on geophysical parameters represented by wavelet information of the input seismic data. For instance, a seismic trace interval can be determined, and both a reflection coefficient and an acoustic impedance of the seismic trace interval can be constrained. An optimization problem, using the constrained reflection coefficient and the constrained acoustic impedance, can be generated and/or solved by a sparse inversion. As such, a vertical resolution, as well as a seismic bandwidth, of super resolution output seismic data can be increased, improving subterranean feature (e.g., sand and/or shale characteristics) interpretation and well planning and construction.

    Non-uniform optimal survey design principles
    6.
    发明授权
    Non-uniform optimal survey design principles 有权

    公开(公告)号：US10809402B2

    公开(公告)日：2020-10-20

    申请号：US15641916

    申请日：2017-07-05

    Applicant: CONOCOPHILLIPS COMPANY

    Inventor： Chengbo Li ,  Charles C. Mosher ,  Frank D. Janiszewski ,  Laurence S. Williams

    IPC: G01V1/28 ,  G01V1/36 ,  G01V1/00 ,  G01V1/38

    Abstract: Method for acquiring seismic data is described. The method includes determining a non-uniform optimal sampling design that includes a compressive sensing sampling grid. Placing a plurality of source lines or receiver lines at a non-uniform optimal line interval. Placing a plurality of receivers or nodes at a non-uniform optimal receiver interval. Towing a plurality of streamers attached to a vessel, wherein the plurality of streamers is spaced apart at non-uniform optimal intervals based on the compressive sensing sampling grid. Firing a plurality of shots from one or more seismic sources at non-uniform optimal shot intervals. Acquiring seismic data via the plurality of receivers or nodes.

    Low frequency distributed acoustic sensing
    7.
    发明授权
    Low frequency distributed acoustic sensing 有权

    公开(公告)号：US10458228B2

    公开(公告)日：2019-10-29

    申请号：US15453434

    申请日：2017-03-08

    Applicant: CONOCOPHILLIPS COMPANY

    Inventor： Ge Jin ,  Charles C. Mosher ,  Frank P. Filice ,  Kyle R. Krueger ,  Baishali Roy ,  Ali Tura ,  Dana M. Jurick

    IPC: E21B47/12 ,  G01V1/22 ,  E21B47/022 ,  G01H9/00 ,  E21B47/10 ,  G01K11/32 ,  G01V1/40

    Abstract: The invention relates to DAS observation has been proven to be useful for monitoring hydraulic fracturing operations. While published literature has shown focus on the high-frequency components (>1 Hz) of the data, this invention discloses that much of the usable information may reside in the very low frequency band (0-50 milliHz). Due to the large volume of a DAS dataset, an efficient workflow has been developed to process the data by utilizing the parallel computing and the data storage. The processing approach enhances the signal while decreases the data size by 10000 times, thereby enabling easier consumption by other multi-disciplinary groups for further analysis and interpretation. The polarity changes as seen from the high signal to noise ratio (SNR) low frequency DAS images are currently being utilized for interpretation of completions efficiency monitoring in hydraulically stimulated wells.

    Compressive sensing
    8.
    发明授权
    Compressive sensing 有权

    公开(公告)号：US09632193B2

    公开(公告)日：2017-04-25

    申请号：US14529690

    申请日：2014-10-31

    Applicant: CONOCOPHILLIPS COMPANY

    Inventor： Chengbo Li ,  Sam T. Kaplan ,  Charles C. Mosher ,  Joel D. Brewer ,  Robert G. Keys

    IPC: G01V1/30 ,  G01V1/00 ,  G01V1/36

    CPC classification number: G01V1/30 ,  G01V1/003 ,  G01V1/36 ,  G01V2210/169 ,  G01V2210/57 ,  G01V2210/60 ,  G01V2210/614

    Abstract: Computer-implemented method for determining optimal sampling grid during seismic data reconstruction includes: a) constructing an optimization model, via a computing processor, given by minu∥Su∥1s.t. ∥Ru−b∥2≦σ wherein S is a discrete transform matrix, b is seismic data on an observed grid, u is seismic data on a reconstruction grid, and matrix R is a sampling operator; b) defining mutual coherence as μ ≤ C S ⁢ m ( log ⁢ ⁢ n ) 6 , wherein C is a constant, S is a cardinality of Su, m is proportional to number of seismic traces on the observed grid, and n is proportional to number of seismic traces on the reconstruction grid; c) deriving a mutual coherence proxy, wherein the mutual coherence proxy is a proxy for mutual coherence when S is over-complete and wherein the mutual coherence proxy is exactly the mutual coherence when S is a Fourier transform; and d) determining a sample grid r*=arg minr μ(r).

Patent Agency Ranking