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    • 1. 发明申请
    • EFFICIENT LINE SEARCH METHODS FOR MULTI-PARAMETER FULL WAVEFIELD INVERSION
    • 用于多参数全波形变换的有效线搜索方法
    • WO2015171215A1
    • 2015-11-12
    • PCT/US2015/022786
    • 2015-03-26
    • EXXONMOBIL UPSTREAM RESEARCH COMPANYTANG, YaxunAYENIA, Gboyega
    • TANG, YaxunAYENIA, Gboyega
    • G01V1/28G01V1/30
    • G01V1/32G01V1/282G01V1/303G01V1/306G01V2210/42G01V2210/63
    • Method for simultaneously inverting full-wavefield seismic data for multiple classes of physical property parameters (e.g., velocity and anisotropy) by computing the gradient, i.e. search direction, of an objective function for each class of parameters, then applying (preferably exhaustive) first-pass independent line searches to each parameter class to obtain the corresponding step size along the search direction for each parameter class; then without yet updating the model, using the step sizes to define a relative scaling between gradients of all parameter classes. Next, each scaled search direction is recombined to form a new search direction, and a new second-pass line search is performed along the new search direction, and all parameters are simultaneously updated with the resulting step size. Alternatively to the preceding alternating two-pass embodiment, the model may be updated after each first-pass line search, and no second-pass line search is performed.
    • 通过计算每类参数的目标函数的梯度(即搜索方向)同时反转多种物理性质参数(例如速度和各向异性)的全波场地震数据的方法,然后应用(优选穷尽的) 通过独立行搜索到每个参数类,以获得每个参数类沿搜索方向的相应步长; 然后没有更新模型,使用步长来定义所有参数类的梯度之间的相对缩放。 接下来,每个缩放的搜索方向被重组以形成新的搜索方向,并且沿着新的搜索方向执行新的二次线搜索,并且所有参数同时被更新为所得到的步长。 作为上述交替双路实施例的替代方案,可以在每次首次通过行搜索之后更新模型,并且不执行二次线搜索。
    • 2. 发明申请
    • TOMOGRAPHICALLY ENHANCED FULL WAVEFIELD INVERSION
    • 层析增强的全波段反演
    • WO2018031113A1
    • 2018-02-15
    • PCT/US2017/036088
    • 2017-06-06
    • EXXONMOBIL UPSTREAM RESEARCH COMPANYTANG, YaxunLEE, SunwoongBAUMSTEIN, Anatoly, I.AKCELIK, Volkan
    • TANG, YaxunLEE, SunwoongBAUMSTEIN, Anatoly, I.AKCELIK, Volkan
    • G01V1/28
    • G01V1/282G01V1/303G01V1/364G06F17/10G06F17/50
    • A computer-implemented method for updating a physical properties model of a subsurface region in an iterative inversion of seismic data using a gradient of a cost function that compares the seismic data to model-simulated data, said method comprising: obtaining a contrast model of a subsurface physical parameter that is sensitive to data dynamics and a kinematic model of a subsurface physical parameter; determining a gradient of a cost function using the contrast model and the kinematic model, wherein the cost function compares seismic data to model-simulated data; updating the kinematic model using a search direction derived from the gradient; adapting the contrast model according to an update to the kinematic model performed in the updating step; iteratively repeating the determining, updating, and adapting steps until a predetermined stopping criteria is reached, and generating a subsurface image from a finally updated kinematic model; and using the subsurface image to prospect for hydrocarbons.
    • 一种计算机实现的方法,用于使用成本函数的梯度来更新地震数据的迭代反演中的地下区域的物理性质模型,所述成本函数将地震数据与模型模拟数据进行比较,所述方法 包括:获得对数据动力学敏感的地下物理参数的对比模型和地下物理参数的运动学模型; 使用对比模型和运动学模型确定成本函数的梯度,其中成本函数将地震数据与模型模拟数据进行比较; 使用从梯度导出的搜索方向来更新运动学模型; 根据更新步骤中对运动学模型的更新来调整对比度模型; 迭代地重复所述确定步骤,更新步骤和适配步骤,直到达到预定的停止标准,并且从最终更新的运动学模型生成地下图像; 并使用地下图像寻找碳氢化合物。
    • 6. 发明申请
    • JOINT FULL WAVEFIELD INVERSION OF P-WAVE VELOCITY AND ATTENUATION USING AN EFFICIENT FIRST ORDER OPTIMIZATION
    • 利用有效的一阶优化法进行P波速度衰减的联合全波场反演
    • WO2018013257A1
    • 2018-01-18
    • PCT/US2017/036089
    • 2017-06-06
    • EXXONMOBIL UPSTREAM RESEARCH COMPANYTAN, SiruiTANG, YaxunBAUMSTEIN, Anatoly, I.AYENI, GboyegaVDOVINA, TetyanaDICKENS, Thomas, A.
    • TAN, SiruiTANG, YaxunBAUMSTEIN, Anatoly, I.AYENI, GboyegaVDOVINA, TetyanaDICKENS, Thomas, A.
    • G01V1/28
    • A method for iteratively inverting seismic data to jointly infer a model for at least P- wave velocity and attenuation parameters of the subsurface, the method including: jointly inverting the P-wave velocity and attenuation parameters with an iterative visco-acoustic full wavefield inversion process, wherein the iterative visco-acoustic full wavefield inversion process includes computing a gradient of an objective function, the objective function measuring a misfit between all or part of the seismic data and corresponding model-simulated seismic data; for each of the P-wave velocity and attenuation parameters, computing a search direction in model space from the gradient; determining line search step sizes α and β for the search directions for the P-wave velocity and attenuation parameters, respectively, wherein a ratio of the step sizes is a function of the P-wave velocity parameter; and using the step sizes α and β and the search directions for each of the P-wave velocity and attenuation parameters, computing a new search direction in model space, then performing a line search along the new search direction to arrive at a new step size, and using the new step size and the new search direction to generate an updated model for a current iteration of the iterative visco-acoustic full wavefield inversion process.
    • 一种用于迭代地反演地震数据以共同推导用于至少P波速度和地下的衰减参数的模型的方法,所述方法包括:将P波速度和衰减参数与 其中所述迭代粘声全波场反演过程包括:计算目标函数的梯度,所述目标函数测量全部或部分地震数据与对应的模型模拟地震数据之间的失配; 对于每个P波速度和衰减参数,从梯度计算模型空间中的搜索方向; 分别针对P波速度和衰减参数的搜索方向确定线搜索步长α和β,其中步长大小的比率是 纵波速度参数; 并使用步长α和β以及每个P波速度和衰减参数的搜索方向,计算模型空间中的新搜索方向,然后执行 沿着新的搜索方向进行线搜索以获得新的步长,并且使用新的步长和新的搜索方向来生成迭代粘声全波场反演过程的当前迭代的更新模型。