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    Generating low frequency models for seismic waveform inversion in formation regions with limited control wells
    41.
    发明授权
    Generating low frequency models for seismic waveform inversion in formation regions with limited control wells 有权

    公开(公告)号：US11965996B2

    公开(公告)日：2024-04-23

    申请号：US17682284

    申请日：2022-02-28

    申请人： Saudi Arabian Oil Company

    发明人： Ahmed W. Daghistani

    IPC分类号： G01V1/28 ,  G01V1/30

    CPC分类号： G01V1/282 ,  G01V1/306 ,  G01V2210/6169

    摘要： The systems and methods described in this specification relate to generating a low frequency model of a subterranean formation for performing a seismic inversion. The systems and methods receive seismic data for a first region of the subterranean formation and well log data of one or more wells located at the first region. The systems and methods determine one or more relative layer attributes of the first region, one or more first input values for a machine learning model, and one or more second input values for the machine learning model. The systems and methods generate, a first relative low frequency model for the first region, and extrapolate, by executing the machine learning model by the processor, the first relative low frequency model to a second region of the subterranean formation.

    SEISMIC QUANTITATIVE PREDICTION METHOD FOR SHALE TOC BASED ON SENSITIVE PARAMETER VOLUMES
    42.
    发明公开
    SEISMIC QUANTITATIVE PREDICTION METHOD FOR SHALE TOC BASED ON SENSITIVE PARAMETER VOLUMES 审中-公开

    公开(公告)号：US20240094419A1

    公开(公告)日：2024-03-21

    申请号：US18341781

    申请日：2023-06-27

    申请人： Chengdu University of Technology

    发明人： Chaorong Wu ,  Cheng Liu ,  Kaixing Huang ,  Yong Li ,  Yizhen Li ,  Junxiang Li ,  Yuexiang Hao

    IPC分类号： G01V1/30

    CPC分类号： G01V1/30 ,  G01V2210/6169

    摘要： A seismic quantitative prediction method for shale total organic carbon (TOC) based on sensitive parameter volumes is as follows. A target stratum for a TOC content to be measured is determined, logging curves with high correlations with TOC contents are analyzed, the logging curves are found as sensitive parameters; sample data are constructed using the sensitive parameters; a radial basis function (RBF) neural network is trained with the sample data as an input and the TOC content at a depth corresponding to the sample data as an output to obtain a RBF neural network prediction model; sensitive parameter volumes are obtained by using the sensitive parameters and post stack three-dimension seismic data to invert; prediction samples are constructed using the sensitive parameter volumes; the predicted samples are input to the RBF neural network prediction model to calculate corresponding TOC values, thereby the TOC content of the target stratum is predicted.

    Systems and methods for identifying sanding in production wells using time-lapse sonic data
    49.
    发明授权
    Systems and methods for identifying sanding in production wells using time-lapse sonic data 有权
    使用延时声波数据识别生产井中的砂光的系统和方法

    公开(公告)号：US09217807B2

    公开(公告)日：2015-12-22

    申请号：US13949202

    申请日：2013-07-23

    申请人： Schlumberger Technology Corporation

    发明人： Jiaqi Yang ,  Bikash K. Sinha ,  Ting Lei

    IPC分类号： G01V1/00 ,  G01V1/40 ,  G01V1/50 ,  G01V1/48

    CPC分类号： G01V1/40 ,  G01V1/48 ,  G01V1/50 ,  G01V2210/612 ,  G01V2210/6169

    摘要： Systems and methods for identifying sanding in production wells using time-lapse sonic data. Formation anisotropy can be characterized in terms of shear moduli in a vertical wellbore, e.g., vertical shear moduli C44 and C55 in the wellbore axial planes and horizontal shear modulus C66 in the wellbore cross-sectional plane. Changes in formation anisotropy between different times can provide qualitative indicators of the occurrence of sanding in the production well. Before production begins, the horizontal shear modulus C66 is typically less than the vertical shear modulus C44 or C55 or both. At a subsequent time after sanding occurs, the horizontal shear modulus C66 is typically greater than the vertical shear modulus C44 or C55 or both. By comparing the shear moduli of the vertical wellbore at different times, it is possible to identify the occurrence of sanding in the production well using time-lapse sonic data.

    摘要翻译： 使用延时声波数据识别生产井中的砂光的系统和方法。 形成各向异性可以用垂直井眼中的剪切模量来表征，例如在井眼轴向平面中的垂直剪切模量C44和C55以及井眼横截面中的水平剪切模量C66。 不同时期地层各向异性的变化可以为生产井中砂磨发生提供定性指标。 在生产开始之前，水平剪切模量C66通常小于垂直剪切模量C44或C55或两者。 在砂光发生后的随后时间，水平剪切模量C66通常大于垂直剪切模量C44或C55或两者。 通过比较不同时间垂直井筒的剪切模量，可以使用延时声波数据来识别生产井中砂磨的发生。

    Method of Transforming Reservoir Properties to a Seismic Attribute for Hydrocarbon and Lithology Identification
    50.
    发明申请
    Method of Transforming Reservoir Properties to a Seismic Attribute for Hydrocarbon and Lithology Identification 审中-公开
    将油藏特性转化为烃类和岩性识别的地震属性的方法

    公开(公告)号：US20150120197A1

    公开(公告)日：2015-04-30

    申请号：US14067528

    申请日：2013-10-30

    申请人： Tong Xu

    发明人： Tong Xu

    IPC分类号： G01V1/48 ,  G01V1/40

    CPC分类号： G01V1/48 ,  G01V1/307 ,  G01V1/40 ,  G01V1/50 ,  G01V2210/6169 ,  G01V2210/6242 ,  G01V2210/632

    摘要： Embodiments of a method for transforming petrophysical properties into seismic attributes are disclosed herein. Embodiments of the method utilize an AVO expression which maps lithology to P-wave reflectivity at a particular angle through their λ/μ values (or equivalent elastic properties K/μ and γ). Rocks with different λ/μ will be projected to the different angle and reflectivity. The equation which transforms λ/μ to reflection angle may be referred to as a Generalized Angle Transform Equation (GATE). Further details and advantages of various embodiments of the method are described in more herein.

    摘要翻译： 本文公开了将岩石物理性质转换成地震属性的方法的实施例。 该方法的实施例利用AVO表达式，其通过λ/μ值（或等效弹性特性K /μ和γ）以特定角度将岩性映射到P波反射率。 具有不同λ/μ的岩石将投射到不同的角度和反射率。 将λ/μ变换为反射角的方程可以称为广义角度变换方程（GATE）。 该方法的各种实施例的更多细节和优点在本文中更详细地描述。