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    • 1. 发明申请
    • ADAPTIVE FAULT TRACKING
    • 自适应故障跟踪
    • US20150234067A1
    • 2015-08-20
    • US14579558
    • 2014-12-22
    • Foster Findlay Associates Limited
    • Steven PURVESJames LowellDale NortonJonathan HendersonGaynor PatonNicholas McArdle
    • G01V1/30
    • G01V1/30G01V1/301G01V2210/641G01V2210/642
    • A method for adaptively determining one or more faults from geological survey data includes: (a) generating at least one attribute volume comprising a plurality of attributes from said geological survey data; (b) identifying at least one region of interest on a predetermined cross-section of said at least one attribute volume; (c) adding at least one seed to said at least one region of interest; (d) defining at least one representative area in accordance with said region of interest; (e) starting an initial generation of at least one basic geological object by adapting said at least one seed and/or representative area; (f) selectively determining growth confidence levels for any of said at least one basic geological object based on a realistic geological principles, and mapping said at least one basic geological object with colour-coded data of said growth confidence levels; (g) monitoring a visual representation of said at least one basic geological object during said initial generation; (h) selectively stopping said initial generation of said at least one basic geological object; (i) generating at least one optimized geological object through manipulation of at least part of said at least one basic geological object, wherein said at least one basic geological object is generated by applying a mesh propagation algorithm adapted to generate a surface mesh from said at least one seed, and which includes at least on predetermined constraint, including at least one external force, obtained from empirical geological data, and at least one internal force adapted to maintain the surface shape of said surface mesh.
    • 一种用于从地质测量数据自适应地确定一个或多个故障的方法包括:(a)从所述地质勘测数据生成包括多个属性的至少一个属性卷; (b)在所述至少一个属性卷的预定横截面上识别至少一个感兴趣的区域; (c)将至少一种种子加到所述至少一个感兴趣的区域; (d)根据所述感兴趣区域定义至少一个代表区域; (e)通过调整所述至少一个种子和/或代表区域来开始初始生成至少一个基本地质物体; (f)基于现实的地质原理,选择性地确定所述至少一个基础地质物体中任何一个的生长置信水平,并用所述生长置信水平的颜色编码数据绘制所述至少一个基础地质物体; (g)在所述初始生成期间监测所述至少一个基本地质物体的视觉表示; (h)选择性地停止所述至少一个基本地质物体的初始生成; (i)通过操纵所述至少一个基本地质物体的至少一部分来产生至少一个优化的地质物体,其中所述至少一个基本地质物体是通过应用网格传播算法来生成的,所述网格传播算法适用于从所述至少一个基础地质物质 至少一个种子,并且其至少包括预定约束,包括从经验地质数据获得的至少一个外力,以及适于维持所述表面网的表面形状的至少一个内力。
    • 2. 发明授权
    • Adaptive fault tracking
    • US10429529B2
    • 2019-10-01
    • US14579558
    • 2014-12-22
    • Foster Findlay Associates Limited
    • Stephen PurvesJames LowellDale NortonJonathan HendersonGaynor PatonNicholas McArdle
    • G01V1/30G01V1/50G01V1/22G01V1/34
    • A method for adaptively determining one or more faults from geological survey data includes: (a) generating at least one attribute volume comprising a plurality of attributes from said geological survey data; (b) identifying at least one region of interest on a predetermined cross-section of said at least one attribute volume; (c) adding at least one seed to said at least one region of interest; (d) defining at least one representative area in accordance with said region of interest; (e) starting an initial generation of at least one basic geological object by adapting said at least one seed and/or representative area; (f) selectively determining growth confidence levels for any of said at least one basic geological object based on a realistic geological principles, and mapping said at least one basic geological object with colour-coded data of said growth confidence levels; (g) monitoring a visual representation of said at least one basic geological object during said initial generation; (h) selectively stopping said initial generation of said at least one basic geological object; (i) generating at least one optimized geological object through manipulation of at least part of said at least one basic geological object, wherein said at least one basic geological object is generated by applying a mesh propagation algorithm adapted to generate a surface mesh from said at least one seed, and which includes at least on predetermined constraint, including at least one external force, obtained from empirical geological data, and at least one internal force adapted to maintain the surface shape of said surface mesh.
    • 4. 发明申请
    • Enhanced Visualization of Geologic Features in 3D Seismic Survey Data Using High Definition Frequency Decomposition (HDFD)
    • 使用高清晰度频率分解(HDFD)增强3D地震测量数据中地质特征的可视化
    • US20160146959A1
    • 2016-05-26
    • US14900096
    • 2014-02-14
    • FOSTER FINDLAY ASSOCIATES LIMITED
    • Stephen James PurvesAdam John EckersleyNicholas McArdle
    • G01V1/30
    • G01V1/302G01V1/345G01V2210/23G01V2210/24G01V2210/30G01V2210/74
    • A method is presented for visually enhancing at least one geological feature in 3D seismic survey data, comprising the steps of: (a) selecting at least one first seismic trace from a 3D seismic survey data set; (b) subdividing said at least one first seismic trace into a plurality of identified characteristic segments; (c) generating at least one first analytical model function for each of said plurality of identified characteristic segments, utilizing at least one adapted wavelet from an existing dictionary; (d) determining a matching characteristic between said at least one first seismic trace and said at least one first analytical model function; (e) optimising said at least one first analytical model function with respect to said matching characteristic; (f) repeating steps (d) and (e) until a predetermined condition is met, and (g) generating a model dataset from said optimised at least one first analytical model function for at least part of said at least one first seismic trace for visual representation.
    • 提出了一种用于视觉上增强3D地震勘测数据中的至少一个地质特征的方法,包括以下步骤:(a)从3D地震勘测数据集中选择至少一个第一地震迹线; (b)将所述至少一个第一地震迹线细分成多个识别的特征段; (c)利用来自现有词典的至少一个适配小波生成针对所述多个识别的特征段中的每一个的至少一个第一分析模型函数; (d)确定所述至少一个第一地震迹线和所述至少一个第一分析模型函数之间的匹配特性; (e)相对于所述匹配特征优化所述至少一个第一分析模型函数; (f)重复步骤(d)和(e),直到满足预定条件,并且(g)从所述优化的至少一个第一分析模型函数生成用于所述至少一个第一地震轨迹的至少一部分的模型数据集, 视觉表示。