System and Method for Simulating Reservoir Models

    公开(公告)号:US20210165937A1

    公开(公告)日:2021-06-03

    申请号:US16772792

    申请日:2018-12-13

    Abstract: A method, computer program product, and computing system are provided for defining one or more injector completions and one or more producer completions in one or more reservoir models. One or more edges between the one or more injector completions and the one or more producer completions in the one or more reservoir models may be defined. The one or more edges between the one or more injector completions and the one or more producer completions may define a graph network representative of the one or more reservoir models. The one or more reservoir models may be simulated along the one or more edges between the one or more injector completions and the one or more producer completions.

    SYSTEMS AND METHODS FOR PROXIMITY DETECTION AND INTERPRETATION OF NEAR PARALLEL CASED WELLS

    公开(公告)号:US20240094429A1

    公开(公告)日:2024-03-21

    申请号:US18468942

    申请日:2023-09-18

    CPC classification number: G01V3/20 E21B47/024 E21B49/00

    Abstract: A ranging workflow to interpret the ultradeep harmonic anisotropic attenuation (UHAA) measurements and estimate the distance and orientation of the existing cased well from the well being drilled is presented herein. The ranging workflow applies to scenarios in which the wells are near parallel to each other and performs reasonably well in boreholes which are more or less perpendicular to the formation layers. The ranging workflow generally includes deploying a deep directional resistivity (DDR) tool into a new wellbore; collecting UHAA data via the DDR tool; determining resistivity values based at least in part on the UHAA data; and determining a distance of the DDR tool from a casing of an existing wellbore proximate the new wellbore based at least in part on the resistivity values and a UHAA response table for the DDR tool.

    PROCESSES AND SYSTEMS FOR CORRELATING WELL LOGGING DATA

    公开(公告)号:US20220342111A1

    公开(公告)日:2022-10-27

    申请号:US17237473

    申请日:2021-04-22

    Abstract: Processes and systems for correlating well log data sets from well logging passes within a well bore. In some embodiments, a process for well log depth matching can include normalizing a first well log from a first logging pass obtained within a well bore and a second well log from a second logging pass obtained within the well bore, performing a pre-shift, performing feature picking to identify one or more features along the second well log, performing normalized cross-correlation based optimization between the first well log and the second well log to match the one or more features along the second well log to the same one or more features of the first well log and generating a shift table for depth shifting the one or more features of the second well log and the first well log.

    ESTIMATING PETROPHYSICAL PARAMETERS AND INVASION PROFILE USING JOINT INDUCTION AND PRESSURE DATA INVERSION APPROACH
    7.
    发明申请
    ESTIMATING PETROPHYSICAL PARAMETERS AND INVASION PROFILE USING JOINT INDUCTION AND PRESSURE DATA INVERSION APPROACH 审中-公开
    使用联合感应和压力数据反演方法估算物理参数和入侵轮廓

    公开(公告)号:US20160033673A1

    公开(公告)日:2016-02-04

    申请号:US14880404

    申请日:2015-10-12

    CPC classification number: G01V3/38 G01N15/088 G01V3/28 Y02A90/344

    Abstract: Methods and related systems are described relating to an inversion approach for interpreting the geophysical electromagnetic data. The inversion can be constrained by using a multiphase fluid flow simulator (incorporating pressure data if available) which simulates the fluid flow process and calculates the spatial distribution of the water saturation and the salt concentration, which are in turn transformed into the formation conductivity using a resistivity-saturation formula. In this way, the inverted invasion profile is consistent with the fluid flow physics and moreover accounts for gravity segregation effects. Jointly with the pressure data, the inversion estimates a parametric one-dimensional distribution of permeability and porosity. The fluid flow volume is directly inverted from the fluid-flow-constrained inversion of the electromagnetic data. The approach is not limited by the traditional interpretation of the formation test, which is based on a single-phase model without taking into account invasion or assuming that the fluid, for example mud-filtrate, has been cleaned up from the formation testing zone. The joint inversion of the electromagnetic and pressure data provides for a more reliable interpretation of formation permeability. One advantage of the approaches described herein, is its possible generalization to three-dimensional geometries, for example dipping beds and highly deviated wells.

    Abstract translation: 描述了用于解释地球物理电磁数据的反演方法的方法和相关系统。 可以通过使用模拟流体流动过程并计算水饱和度和盐浓度的空间分布的多相流体流动模拟器(包括压力数据(如果可用的话))来限制反转,其进而通过使用 电阻率 - 饱和度公式。 以这种方式,反向侵入曲线与流体物理学一致,并且还考虑到重力分离效应。 与压力数据联合,反演估计了渗透率和孔隙度的参数一维分布。 流体流量与电磁数据的流体流限制反转直接相反。 该方法不受传统的形成测试的解释的限制,该方法基于单相模型,而不考虑入侵或假设流体,例如泥浆滤液已经从地层测试区域清除。 电磁和压力数据的联合反演提供了对地层渗透率的更可靠的解释。 本文描述的方法的一个优点是其可能推广到三维几何形状,例如浸渍床和高度偏斜的孔。

    IN-SITU REAL-TIME BOREHOLE SONIC PROCESSING

    公开(公告)号:US20250110250A1

    公开(公告)日:2025-04-03

    申请号:US18898243

    申请日:2024-09-26

    Abstract: Aspects described herein provide for methods and apparatus for interpretation of borehole sonic dispersion data using data-driven machine learning based approaches. Training datasets are generated from two possible sources. First, application of machine learning enabled automatic dipole interpretation (MLADI) and/or machine learning enabled automatic quadrupole interpretation (MLAQI) methods on field data processing will naturally create substantial volume of labeled data, i.e., pairing dispersion data with dispersion modes labeled by MLADI and MLAQI. Second, it is also possible to generate large volume of synthetic dispersion data from known model parameters. These two types of labeled data can be used either separately or in combination to train neural network models. These models can map dispersion data to modal dispersion much more efficiently.

    DISCRETE PERFORATING DEVICE
    9.
    发明申请

    公开(公告)号:US20250109678A1

    公开(公告)日:2025-04-03

    申请号:US18899776

    申请日:2024-09-27

    Inventor: Saad Omar Lin Liang

    Abstract: The present disclosure relates to a method that includes receiving ultra-deep azimuthal resistivity (UDAR) measurements from a downhole tool within a geological formation. The method also includes determining a data processing window based on a relative location of a transmitter of the downhole tool with respect to a location of one or more components of the downhole tool. Further, the method includes performing a three-dimensional (3D) inversion of the UDAR measurements based on the relative location of the transmitter. Further still, the method includes generating an anisotropic resistivity distribution and relative formation dip output based on the 3D inversion.

Patent Agency Ranking