GEOBODY CONTINUITY IN GEOLOGICAL MODELS BASED ON MULTIPLE POINT STATISTICS
    1.
    发明申请
    GEOBODY CONTINUITY IN GEOLOGICAL MODELS BASED ON MULTIPLE POINT STATISTICS 审中-公开
    基于多点统计学的地质模型中的地球物理连续性

    公开(公告)号:US20170011149A1

    公开(公告)日:2017-01-12

    申请号:US15204249

    申请日:2016-07-07

    Abstract: The present disclosure describes a method that improves the long-range geobody continuity in Multiple Point Statistical methods, wherein the coarsest multi-grid level cells are simulated in a regular path, and the subsequent level cells are simulated in a random path as usual. The method is general and is applicable to different cases: such as hard data conditioning, soft data conditioning, non-stationarity modeling, 2 or more than 2 types of facies modeling, and 2D and 3D modeling. The method is particularly useful in reservoir modeling, especially for the channelized systems, but can be generally applied to other geological environments.

    Abstract translation: 本公开描述了一种改进多点统计方法中的远程地质体连续性的方法,其中以规则路径模拟最粗糙的多栅格级别单元,并且如常规地在随机路径中模拟后续级单元。 该方法是一般的,适用于不同的情况:例如硬数据调节,软数据调理,非平稳性建模,2或2种以上的相模型,2D和3D建模。 该方法在储层建模中特别有用,特别是对于通道化系统,但通常可以应用于其他地质环境。

    UNCONVENTIONAL WELL GAS TO OIL RATIO CHARACTERIZATION

    公开(公告)号:US20220389798A1

    公开(公告)日:2022-12-08

    申请号:US17830531

    申请日:2022-06-02

    Abstract: A method of reducing gas flaring through modelling of reservoir behavior using a method of optimizing oil production from one or more well(s) in a reservoir, the method providing a model of the well, inputting well data for a one or more well(s) into the model, the well data selected from geological layers, reservoir properties, fracturing data, completion data, permeability data, geochemistry, and combinations thereof. Inputting historical production data from one or more well(s) into the model, the historical data selected from PVT data, BHP, oil production rates, gas production rates and water production rates, or combinations thereof. Controlling the model to match one or more parameters selected from production rates, gas to oil ratio (GOR), bottom hole pressure (BHP), cumulative oil production (COP), or a combination thereof in a probabilistic manner to obtain a plurality of historical models. Verifying one or more test models against the historical models to identify an optimal model with minimum error. Using the optimal model to predict one or more parameters selected from production rates, gas to oil ratio (GOR), bottom hole pressure (BHP), cumulative oil production (COP), or a combination thereof from the well into a future. Optimizing a production plan using the predicted parameters and implementing the optimized production plan in said well, whereby oil production is optimized as compared to a similar well produced without the optimized production plan.

    ROCK STRENGTH AND IN-SITU STRESSES FROM DRILLING RESPONSE
    4.
    发明申请
    ROCK STRENGTH AND IN-SITU STRESSES FROM DRILLING RESPONSE 审中-公开
    钻井响应中的岩石强度和现场应力

    公开(公告)号:US20170009575A1

    公开(公告)日:2017-01-12

    申请号:US15204606

    申请日:2016-07-07

    Abstract: Estimating in-situ stress of an interval having drilling response data is described. Estimating involves obtaining drilling response data of a data rich interval with available data. Estimating relative rock strength as a composite value that includes in-situ stress and rock strength. Estimating a Poisson's ratio from the relative rock strength. Generating a stress model that includes uniaxial strain model using the Poisson's ratio. Verifying the stress model with the available data. Applying the stress models in a non-data rich interval.

    Abstract translation: 描述了具有钻井响应数据的间隔的估计原位应力。 估计涉及获得具有可用数据的富数据间隔的钻井响应数据。 将相对岩石强度估算为包括原位应力和岩石强度的复合值。 从相对岩石力量估算泊松比。 使用泊松比生成包含单轴应变模型的应力模型。 使用可用数据验证压力模型。 在非数据丰富的间隔中应用压力模型。

    LOCAL DIRECT SAMPLING METHOD FOR CONDITIONING AN EXISTING RESERVOIR MODEL
    5.
    发明申请
    LOCAL DIRECT SAMPLING METHOD FOR CONDITIONING AN EXISTING RESERVOIR MODEL 审中-公开
    用于调节现有储层模型的局部直接采样方法

    公开(公告)号:US20150317419A1

    公开(公告)日:2015-11-05

    申请号:US14700617

    申请日:2015-04-30

    CPC classification number: G06N20/00 G01V99/005 G06F17/18 G06F17/5009

    Abstract: A method of computer modeling a reservoir using multiple-point statistics from non-stationary training images is provided. Some methods include: a) identifying a path via a computer processing machine to visit all nodes of a simulation field; b) setting a template for searching data event in the simulation field and for searching data event replicates in the non-stationary training image; c) defining a neighborhood in which the training image is sampled; d) formulating a kernel function that gσ(d) that decreases from 1 to 0 when distance d increases from 0 to infinity; e) for the current node in the simulation filed, identifying the data event covered by the template; f) randomly sampling the training image in the neighborhood of corresponding node in the training image until an exact or approximate replicate of the data event is found; g) computing distance d between central node of the replicate and simulation node; h) computing the kernel function; i) drawing a random number u between 0 and 1; j) assigning value of central node of the replicate to the simulation node if gσ(d) is greater than u; k) repeating steps f) to j) if gσ(d) is not greater than u; and repeating steps e) to k) until all simulation nodes are visited

    Abstract translation: 提供了一种使用来自非平稳训练图像的多点统计学来计算建模储层的方法。 一些方法包括:a)通过计算机处理机器识别路径以访问模拟场的所有节点; b)在模拟场中设置用于搜索数据事件的模板和用于搜索非平稳训练图像中的数据事件重复; c)定义训练图像被采样的邻域; d)制定一个核心函数,g&sgr;(d)当距离d从0增加到无穷大时,从1减少到0; e)对于模拟场中的当前节点,识别模板覆盖的数据事件; f)随机抽取训练图像中对应节点附近的训练图像,直到找到数据事件的准确或近似重复; g)计算复制中心节点与模拟节点之间的距离d; h)计算核函数; i)绘制0和1之间的随机数u; j)如果g&sgr;(d)大于u,则将复制的中心节点的值分配给模拟节点; k)重复步骤f)至j)如果g&sgr;(d)不大于u; 并重复步骤e)至k),直到所有模拟节点被访问为止

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