WELL CORRELATION THROUGH INTERMEDIARY WELL
    2.
    发明申请

    公开(公告)号:WO2022103801A1

    公开(公告)日:2022-05-19

    申请号:PCT/US2021/058730

    申请日:2021-11-10

    Abstract: An intermediary well may be selected for a group of wells. The intermediary well may be used as an origin point from which branching wells paths are generated to connect the group of wells through the intermediary well. A shortest path between the intermediary well and the group of wells along the branching well paths may be identified, and the group of wells may be aligned along the shortest path. Boundaries of the intermediary well may be propagated to the aligned group of wells to establish correlation between segments of the intermediary well and segments of the aligned group of wells.

    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.

    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.

    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
    7.
    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。

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