GENERATION OF SUBSURFACE REPRESENTATIONS USING LAYER-SPACE

    公开(公告)号:WO2021113091A1

    公开(公告)日:2021-06-10

    申请号:PCT/US2020/061489

    申请日:2020-11-20

    Abstract: Data in physical space may be converted to layer space before performing modeling to generate one or more subsurface representations. Computational stratigraphy model representations that define subsurface configurations as a function of depth in the physical space may be converted to the layer space so that the subsurface configurations are defined as a function of layers. Conditioning information that defines conditioning characteristics as the function of depth in the physical space may be converted to the layer space so that the conditioning characteristics are defined as the function of layers. Modeling may be performed in the layer space to generate subsurface representations within layer space, and the subsurface representations may be converted into the physical space.

    COMPARISON OF WELLS USING A DISSIMILARITY MATRIX

    公开(公告)号:WO2021194851A1

    公开(公告)日:2021-09-30

    申请号:PCT/US2021/023008

    申请日:2021-03-18

    Abstract: Well information may define subsurface configuration of different wells. Marker information defining marker positions within the wells may be obtained. A dissimilarity matrix for the wells may generated, with the element values of the dissimilarity matrix determined based on comparison of corresponding subsurface configuration of the wells. A gated dissimilarity matrix may be generated from the dissimilarity matrix based on the marker positions within the wells. The elements values of the gated dissimilarity matrix corresponding to one set of marker positions and not corresponding to the other set of marker positions may be changed. Correlation between the wells may be determined based on the gated dissimilarity matrix such that correlation exists between a marker position in one well and a marker position in another well.

    A METHODOLOGY FOR BUILDING REALISTIC NUMERICAL FORWARD STRATIGRAPHIC MODELS IN DATA SPARSE ENVIRONMENT
    4.
    发明申请
    A METHODOLOGY FOR BUILDING REALISTIC NUMERICAL FORWARD STRATIGRAPHIC MODELS IN DATA SPARSE ENVIRONMENT 审中-公开
    数据稀疏环境下构建现实数值前向地层模型的方法

    公开(公告)号:WO2017112033A1

    公开(公告)日:2017-06-29

    申请号:PCT/US2016/056505

    申请日:2016-10-12

    Abstract: Disclosed is a method and system for identifying simulated basin results and associated input parameter values for simulation of geographic basins by a stratigraphic forward model simulation program that are most likely to represent the actual basin by treating inputs and outputs of the stratigraphic forward model simulation program in a unified manner. An embodiment may calculate probability distributions for input parameters and validation data, and calculate likelihoods of simulated basins as a combination of the combination of the probabilities of the input parameters used to create the simulated basin and of the combination of the probabilities simulation validation results of the simulated basin. An embodiment may then select most likely simulation model result basins based on the results having a higher calculated likelihood. The most likely simulated basins may be used for analysis of exploration and/or production decisions without the need for additional, expensive testing on the actual basin.

    Abstract translation: 公开了用于通过地层前向模型模拟程序来识别用于模拟地理盆地的模拟盆地结果和相关输入参数值的方法和系统,所述程序最有可能通过处理输入和输出来表示实际盆地 统一的地层前向模型模拟程序。 一个实施例可以计算输入参数和验证数据的概率分布,并且计算模拟盆地的似然性作为用于创建模拟盆地的输入参数的概率的组合和用于建立模拟盆地的概率的模拟验证结果的组合的组合的组合 模拟盆地。 然后,实施例可以基于具有较高计算似然性的结果来选择最可能的模拟模型结果盆。 最有可能的模拟盆地可用于分析勘探和/或生产决策,而无需在实际盆地上进行额外的昂贵的测试。

    NESTED MODEL SIMULATIONS TO GENERATE SUBSURFACE REPRESENTATIONS

    公开(公告)号:WO2021222613A1

    公开(公告)日:2021-11-04

    申请号:PCT/US2021/029956

    申请日:2021-04-29

    Abstract: Process-based numerical forward stratigraphic models of different spatiotemporal scales may be nested to address subsurface characterization at different scales. Subsurface representations may be generated using an iterative loop in which subsurface representations are generated using different-scale subsurface models, compared to scale-appropriate data, and used to define boundary conditions/inputs for subsequently run subsurface models. Results from the subsurface models may be compared to one or more standards for quality control and/or for subsurface representation selection. A series of comprehensive subsurface representations may be generated, with the subsurface representations being constrained by different scales of information and physical plausible scenarios.

    MULTIPLE WELL MATCHING WITHIN SUBSURFACE REPRESENTATION

    公开(公告)号:WO2021146115A1

    公开(公告)日:2021-07-22

    申请号:PCT/US2021/012733

    申请日:2021-01-08

    Abstract: A subsurface representation may define simulated subsurface configuration of a simulated subsurface region. The simulated subsurface region may include simulated wells, and the simulated subsurface configuration may define simulated correlation between the simulated wells. Subsurface configuration of wells may be compared with the simulated subsurface configuration to generate similarity maps for the wells. The similarity maps may be arranged based on spatial arrangements of the wells such that the similarity maps overlap with each other within an overlap area. Locations within the overlap area may correspond to groupings of matched simulated wells. Correlation between the wells may be determined based on the simulated correlation between the matched simulated wells.

    SYSTEM AND METHOD FOR ACCELERATED COMPUTATION OF SUBSURFACE REPRESENTATIONS

    公开(公告)号:WO2020242742A1

    公开(公告)日:2020-12-03

    申请号:PCT/US2020/031869

    申请日:2020-05-07

    Abstract: A computational stratigraphy model may be run for M mini-steps to simulate changes in a subsurface representation across M mini-steps (from 0 -th subsurface representation to M -th subsurface representation), with a mini-step corresponding to a mini-time duration. The subsurface representation after individual steps may be characterized by a set of computational stratigraphy model variables. Some or all of the computational stratigraphy model variables from running of the computational stratigraphy model may be provided as input to a machine learning model. The machine learning model may predict changes to the subsurface representation over a step corresponding to a time duration longer than the mini-time duration and output a predicted subsurface representation. The subsurface representation may be updated based on the predicted subsurface representation outputted by the machine learning model. Running of the computational stratigraphy model and usage of the machine learning model may be iterated until the end of the simulation.

    CONDITIONING OF OBJECT OR EVENT BASED RESERVOIR MODELS USING LOCAL MULTIPLE-POINT STATISTICS SIMULATIONS
    9.
    发明申请
    CONDITIONING OF OBJECT OR EVENT BASED RESERVOIR MODELS USING LOCAL MULTIPLE-POINT STATISTICS SIMULATIONS 审中-公开
    使用本地多点统计模拟对目标或基于事件的储层模型进行调整

    公开(公告)号:WO2016057071A1

    公开(公告)日:2016-04-14

    申请号:PCT/US2015/021387

    申请日:2015-03-19

    CPC classification number: G01V99/005 G01V11/00 G06F17/18

    Abstract: A computer-based method of conditioning reservoir model data includes performing a modeling process within a 3D stratigraphic grid to generate an initial model including one or more facies objects within the model volume, the modeling process including parametric distributions, initial and boundary conditions as well as depositional and erosional events to define the facies objects within the model volume. The mismatch between this initial model and the conditioning well data and potential input trend model is applied to compute a locally variable constraint model. The method further includes executing a multiple point statistics simulation with this constraint model that varies between completely constrained by the initial model at locations where the initial model is consistent with known well data and potential input trend models, and unconstrained by the initial model at locations where the initial model does not match known well data or potential input trend models to allow conformance to the known data.

    Abstract translation: 用于调节储层模型数据的基于计算机的方法包括在3D地层网格内执行建模过程以产生包括模型体积内的一个或多个相对象的初始模型,建模过程包括参数分布,初始边界条件以及初始边界条件 沉积和侵蚀事件来定义模型体积内的相对象。 该初始模型与调节井数据和潜在输入趋势模型之间的不匹配被应用于计算局部变量约束模型。 该方法还包括利用该约束模型来执行多点统计仿真,所述约束模型在初始模型与已知井数据和潜在输入趋势模型一致的位置处完全受初始模型约束之间变化,并且在初始模型在 初始模型与已知的井数据或潜在的输入趋势模型不一致,以符合已知数据。

    A METHOD OF STRATIGRAPHIC MODELING OF FAULTS
    10.
    发明申请
    A METHOD OF STRATIGRAPHIC MODELING OF FAULTS 审中-公开
    一种断层地层建模方法

    公开(公告)号:WO2016039813A1

    公开(公告)日:2016-03-17

    申请号:PCT/US2015/022385

    申请日:2015-03-25

    CPC classification number: G01V99/005 G01V2210/642 G06F17/5009

    Abstract: A new gridding method is disclosed for forward stratigraphic modeling that allows for syndepositional and/or postdepositional fault movement. The new gridding algorithm may represent both the lateral move of structure block, and provide efficiency that is comparable to the structured grid for forward stratigraphy model accessing previous deposited sediments stored in the grid. Embodiments of the disclosed methods allow for structural moves by performing a set of simple operations on the grid. The operations are generally simple, and do not change the overall topology of the grid. Therefore the operation can be easily repeated and the overall topological structure of the grid remains largely unchanged for simple access by the forward stratigraphic model. Further details and advantages of various embodiments of the method are described in more herein.

    Abstract translation: 公开了一种新的网格化方法,用于前向地层建模,允许综合沉积和/或后沉积故障运动。 新的网格算法可以代表结构块的横向移动,并且提供与用于前向地层模型访问先前沉积在网格中的沉积物的结构化网格相当的效率。 所公开的方法的实施例允许通过在网格上执行一组简单的操作来进行结构移动。 操作一般简单,不改变网格的整体拓扑。 因此,通过前向地层模型的简单访问,可以容易地重复操作并且电网的整体拓扑结构基本上保持不变。 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。

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