Prediction of fluid composition and/or phase behavior

    公开(公告)号:US10781686B2

    公开(公告)日:2020-09-22

    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.

    Systems and methods for curvature analysis from borehole dips and applications thereof

    公开(公告)号:US10444405B2

    公开(公告)日:2019-10-15

    申请号:US14764160

    申请日:2014-01-28

    Abstract: Systems and methods for modeling subsurface rock formations based on well log data are provided. Systems include a downhole tool for acquiring data from which borehole dips may be picked and a processor including machine-readable instructions for curvature analysis based on inputs generated from the picked borehole dips data and which may be independent of 2D cross section model orientation. Methods (which may be incorporated in the machine-readable instructions corresponding to the systems) include pre-processing borehole dips data to generate inputs such as true stratigraphic thickness index, Local Constant Dips, borehole structural dip, and attributes for structural dip projections which may be used in a curvature analysis process for generating curvature logs such as standard, curvature along axis and curvature normal to axis logs from for smoothed dips, short zone structural dips and/or long zone structural dips.

    Tar mat formation prediction in late-charge reservoirs

    公开(公告)号:US10392936B2

    公开(公告)日:2019-08-27

    申请号:US15279828

    申请日:2016-09-29

    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.

    Reservoir fluid geodynamics system and method

    公开(公告)号:US10358919B2

    公开(公告)日:2019-07-23

    申请号:US15428534

    申请日:2017-02-09

    Abstract: A method includes placing a downhole acquisition tool in a wellbore in a geological formation within a hydrocarbon reservoir that contains a reservoir fluid. The method also includes performing downhole fluid analysis using the downhole acquisition tool in the wellbore to determine a measurement associated with the reservoir fluid and using a processor to: estimate a fluid component property by using an equation of state based the measurement and simulate a diffusion process using a diffusive model that takes into account the estimated fluid property. The diffusive model accounts for gravitational diffusion of components in the reservoir fluid. The method also includes using the processor to estimate reservoir fluid geodynamic processes based on the fluid property; compare the estimated reservoir fluid geodynamic processes with the measurement associated with the reservoir fluid; and output reservoir fluid geodynamic processes corresponding to the measurement associated with the reservoir fluid.

    Asphaltene Phase Instability Analysis in Gas Charges into Oil Reservoirs

    公开(公告)号:US20180004863A1

    公开(公告)日:2018-01-04

    申请号:US15196128

    申请日:2016-06-29

    CPC classification number: G06F17/5009 E21B49/082 G06F2217/16

    Abstract: A method includes placing a downhole acquisition tool in a wellbore in a geological formation containing a reservoir fluid. The method includes performing downhole fluid analysis using the downhole acquisition tool to determine at least one measurement of the reservoir fluid. The method includes using a processor to estimate at least one fluid component property by using an equation of state based at least in part on the at least one measurement of the reservoir fluid and to simulate a diffusion process using a diffusion model that takes into account the at least one estimated fluid property to generate a composition path. The method includes using a processor to estimate one or more phase envelopes based in part on the at least one fluid property and compare the one or more phase envelopes with the composition path. The method includes outputting a visualization identify potential areas of asphaltene instability.

    Downhole Filtrate Contamination Monitoring
    7.
    发明申请
    Downhole Filtrate Contamination Monitoring 审中-公开
    井下滤液污染监测

    公开(公告)号:US20160319662A1

    公开(公告)日:2016-11-03

    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.

    Abstract translation: 一种方法包括在地质层中的井眼中操作井下采集工具。 井眼或地质构造或两者都含有包含地质构造的天然储层流体和污染物的第一流体。 该方法还包括将第一流体的一部分接收到井下采集工具中,并使用井下采集工具确定第一流体的该部分的多个性质。 多个性质包括第一流体部分的组分的质量分数和第一流体的该部分的密度。 该方法还包括使用处理器至少部分地基于组成质量分数函数来估计第一流体部分中的污染物的体积分数,该组成质量分数函数至少取决于第一流体的部分中的组分的质量分数 流体和第一流体的部分的密度。

    Applying Shrinkage Factor to Real-Time OBM Filtrate Contamination Monitoring
    8.
    发明申请
    Applying Shrinkage Factor to Real-Time OBM Filtrate Contamination Monitoring 审中-公开
    将收缩因子应用于实时OBM滤液污染监测

    公开(公告)号:US20160186560A1

    公开(公告)日:2016-06-30

    申请号:US14975704

    申请日:2015-12-18

    CPC classification number: E21B49/10 E21B2049/085

    Abstract: A downhole tool operable to pump a volume of contaminated fluid from a subterranean formation during an elapsed pumping time while obtaining in-situ, real-time data associated with the contaminated fluid. The contaminated fluid includes native formation fluid and oil-based mud (OBM) filtrate. A shrinkage factor of the contaminated fluid is determined based on the in-situ, real-time data. The contaminated fluid shrinkage factor is fit relative to pumped volume or pumping time to obtain a function relating the shrinkage factor with pumped volume or elapsed pumping time. A shrinkage factor of the native formation fluid is determined based on the function. A shrinkage factor of the OBM filtrate is also determined. OBM filtrate volume percentage is determined based on the shrinkage factor of the native formation fluid and the shrinkage factor of the OBM filtrate.

    Abstract translation: 一种井下工具,其可操作以在经过的抽吸时间期间从地下地层泵送一定体积的污染流体,同时获得与受污染流体相关的原位实时数据。 受污染的流体包括天然地层流体和油基泥浆(OBM)滤液。 基于原位实时数据确定受污染流体的收缩因子。 受污染的流体收缩因子相对于泵送体积或泵送时间是适合的,以获得与收缩因子与泵送体积或经过的抽吸时间相关的功能。 基于该功能确定天然地层流体的收缩因子。 还测定了OBM滤液的收缩因子。 基于天然地层流体的收缩因子和OBM滤液的收缩率确定OBM滤液体积百分比。

    DIGITAL FRAMEWORK FOR DESIGN AND SELECTION OF PARAFFIN INHIBITORS

    公开(公告)号:US20250149126A1

    公开(公告)日:2025-05-08

    申请号:US18934581

    申请日:2024-11-01

    Abstract: A method of selecting paraffin inhibitors for a target crude oil includes inputting one of more known properties of a target crude oil into a machine learning model and extrapolating unknown properties of a historical data set using a machine learning model. The machine learning model is trained on the historical data set that includes one or more properties of a plurality of crude oils, one or more properties of a plurality of paraffin inhibitors, and one or more paraffin inhibiting efficiencies of the paraffin inhibitors with the plurality of crude oils. Paraffin inhibiting efficiency is predicted based on the historical data set and extrapolated unknown properties for the plurality of paraffin inhibitors that may be used with the target crude oil. One or more of a list of crude oils having one or more properties within a numerical tolerance of the properties of the target crude oil, a list of paraffin inhibitors for use with the target crude oil, and a list of paraffin inhibitor properties are output.

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