Prediction of Fluid Composition and/or Phase Behavior

    公开(公告)号:US20170370214A1

    公开(公告)日:2017-12-28

    申请号:US15193519

    申请日:2016-06-27

    Abstract: Apparatus and methods for obtaining first properties of a fluid, such as by estimating a second property of the fluid based on the first properties using a machine learning algorithm, propagating a first uncertainty of the first properties to a second uncertainty of the second property, generating an expected phase envelope of the fluid based on the second property, and generating a deviation phase envelope of the fluid based on the second uncertainty.

    INTEGRATION OF SEISMIC DATA WITH DOWNHOLE FLUID ANALYSIS TO PREDICT THE LOCATION OF HEAVY HYDROCARBON
    24.
    发明申请
    INTEGRATION OF SEISMIC DATA WITH DOWNHOLE FLUID ANALYSIS TO PREDICT THE LOCATION OF HEAVY HYDROCARBON 审中-公开
    综合地震数据与井底流体分析预测重油烃的位置

    公开(公告)号:US20150247941A1

    公开(公告)日:2015-09-03

    申请号:US14635425

    申请日:2015-03-02

    Abstract: Various implementations directed to the integration of seismic data with downhole fluid analysis to predict the location of heavy hydrocarbon are provided. In one implementation, a method may include receiving seismic data for a hydrocarbon reservoir of interest. The method may also include identifying geological features associated with a secondary gas charge from the seismic data. The method may further include determining the proximity of the geological features to the hydrocarbon reservoir of interest. The method may additionally include receiving preliminary downhole fluid analysis (DFA) data from formations at or near the hydrocarbon reservoir of interest. The method may further include analyzing the preliminary DFA data to determine the equilibrium state of the hydrocarbon reservoir and to confirm the secondary gas charge in the hydrocarbon reservoir. The method may also include determining whether to perform one or more additional DFA's.

    Abstract translation: 提供了针对地震数据与井下流体分析的集成以预测重质烃的位置的各种实施。 在一个实施方案中,方法可以包括接收感兴趣的烃储层的地震数据。 该方法还可以包括从地震数据识别与二次气体充电相关联的地质特征。 该方法还可以包括确定地质特征与感兴趣的烃储层的接近程度。 该方法可以另外包括从感兴趣的碳氢化合物油藏或其附近的地层接收初步的井下流体分析(DFA)数据。 该方法还可以包括分析初步DFA数据以确定烃储层的平衡状态并确认烃储层中的二次气体装料。 该方法还可以包括确定是否执行一个或多个附加的DFA。

    Downhole filtrate contamination monitoring

    公开(公告)号:US10585082B2

    公开(公告)日:2020-03-10

    申请号:US15135411

    申请日:2016-04-21

    Abstract: A method includes operating a downhole acquisition tool in a wellbore in a geological formation. The wellbore or the geological formation, or both, contains first fluid that includes a native reservoir fluid of the geological formation and a contaminant. The method also includes receiving a portion of the first fluid into the downhole acquisition tool and determining a plurality of properties of the portion of the first fluid using the downhole acquisition tool. The plurality of properties includes a mass fraction of a component of the portion of the first fluid and a density of the portion of the first fluid. The method also includes using the processor to estimate a volume fraction of the contaminant in the portion of the first fluid based at least in part on a composition mass fraction function that depends at least on the mass fraction of the component in the portion of the first fluid and the density of the portion of the first fluid.

    Downhole real-time filtrate contamination monitoring

    公开(公告)号:US10316656B2

    公开(公告)日:2019-06-11

    申请号:US14697382

    申请日:2015-04-27

    Abstract: A method includes identifying linearly behaving data within obtained data associated with fluid obtained from a subterranean formation. Shrinkage factor is determined based on the linearly behaving data. A function relating GOR data of the obtained fluid with the determined shrinkage factor is determined. A first linear relationship between optical density (OD) data of the obtained fluid and the function is determined. A second linear relationship between density data of the obtained fluid and the function is determined. An oil-based mud (OBM) filtrate contamination property of OBM filtrate within the obtained fluid based on the first linear relationship is determined. A native formation property of native formation fluid within the obtained fluid based on the second linear relationship is determined. A volume fraction of OBM filtrate contamination within the obtained fluid based on the OBM filtrate contamination property and the native formation property is estimated.

    Tar mat formation prediction in late-charge reservoirs

    公开(公告)号:US10190396B2

    公开(公告)日:2019-01-29

    申请号:US14927305

    申请日:2015-10-29

    Abstract: A downhole tool, surface equipment, and/or remote equipment are utilized to obtain data associated with a subterranean hydrocarbon reservoir, fluid contained therein, and/or fluid obtained therefrom. At least one condition indicating that a density inversion exists in the fluid contained in the reservoir is identified from the data. Molecular sizes of fluid components contained within the reservoir are estimated from the data. A model of the density inversion is generated based on the data and molecular sizes. The density inversion model is utilized to estimate the density inversion amount and depth and time elapsed since the density inversion began to form within the reservoir. A model of a gravity-induced current of the density inversion is generated based on the data and the density inversion amount, depth, and elapsed time.

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