Method for Characterization of Hydrocarbon Reservoirs
    21.
    发明申请
    Method for Characterization of Hydrocarbon Reservoirs 审中-公开
    油气藏特征分析方法

    公开(公告)号:US20150006084A1

    公开(公告)日:2015-01-01

    申请号:US14373019

    申请日:2013-01-17

    Abstract: A methodology that performs fluid sampling within a wellbore traversing a reservoir and fluid analysis on the fluid sample(s) to determine properties (including asphaltene concentration) of the fluid sample(s). At least one model is used to predict asphaltene concentration as a function of location in the reservoir. The predicted asphaltene concentrations are compared with corresponding concentrations measured by the fluid analysis to identify if the asphaltene of the fluid sample(s) corresponds to a particular asphaltene type (e.g., asphaltene clusters common in heavy oil). If so, a viscosity model is used to derive viscosity of the reservoir fluids as a function of location in the reservoir. The viscosity model allows for gradients in the viscosity of the reservoir fluids as a function of depth. The results of the viscosity model (and/or parts thereof) can be used in reservoir understanding workflows and in reservoir simulation.

    Abstract translation: 在穿过储层的井筒内进行流体取样并在流体样品上进行流体分析以确定流体样品的性质(包括沥青质浓度)的方法。 使用至少一个模型来预测沥青质浓度作为储层中位置的函数。 将预测的沥青质浓度与通过流体分析测量的相应浓度进行比较,以确定流体样品的沥青质是否对应于特定的沥青质类型(例如重油中常见的沥青质簇)。 如果是这样,使用粘度模型来导出储层流体的粘度作为储层中的位置的函数。 粘度模型允许储层流体的粘度梯度作为深度的函数。 粘度模型(和/或其部分)的结果可用于油藏理解工作流程和油藏模拟。

    Downhole Real-Time Filtrate Contamination Monitoring

    公开(公告)号:US20190264560A1

    公开(公告)日:2019-08-29

    申请号:US16411845

    申请日:2019-05-14

    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.

    Analyzing reservoir using fluid analysis

    公开(公告)号:US10184334B2

    公开(公告)日:2019-01-22

    申请号:US14966689

    申请日:2015-12-11

    Abstract: Various implementations directed to analyzing a reservoir using fluid analysis are provided. In one implementation, a method may include determining mud gas logging (MGL) data based on drilling mud associated with a wellbore traversing a reservoir of interest. The method may also include determining first downhole fluid analysis (DFA) data based on a first reservoir fluid sample obtained at a first measurement station in the wellbore. The method may further include determining predicted DFA data for the wellbore based on the first DFA data. The method may additionally include determining second DFA data based on a second reservoir fluid sample obtained at a second measurement station in the wellbore. The method may further include analyzing the reservoir based on a comparison of the MGL data and a comparison of the second DFA data to the predicted DFA data.

    Assessing reservoir connectivity in hydrocarbon reservoirs
    29.
    发明授权
    Assessing reservoir connectivity in hydrocarbon reservoirs 有权
    评估油气藏中的油藏连通性

    公开(公告)号:US09416656B2

    公开(公告)日:2016-08-16

    申请号:US14406516

    申请日:2013-03-07

    Abstract: A method is disclosed for assessing connectivity between sections in a hydrocarbon reservoir. Samples of hydrocarbons are collected over different depths in at least one wellbore. Fluorescence intensity determines the actual heavy end concentrations of hydrocarbons for the corresponding different depths. Estimated heavy end concentrations of hydrocarbons for corresponding different depths are determined and the actual heavy end concentrations of hydrocarbons are compared with the estimated heavy end concentrations to assess connectivity between sections of the hydrocarbon reservoir.

    Abstract translation: 公开了一种用于评估碳氢化合物油藏中各段之间连通性的方法。 在至少一个井眼中不同深度收集烃的样品。 荧光强度决定了相应不同深度碳氢化合物的实际重端浓度。 确定相应不同深度的烃的重质末端浓度,并将烃的实际重馏分浓度与估计的重尾浓度进行比较,以评估烃储层断面之间的连通性。

    Evaluating Reservoir Oil Biodegradation
    30.
    发明申请
    Evaluating Reservoir Oil Biodegradation 审中-公开
    评估油藏油生物降解

    公开(公告)号:US20160123953A1

    公开(公告)日:2016-05-05

    申请号:US14933807

    申请日:2015-11-05

    CPC classification number: G01N33/2888 E21B49/08

    Abstract: Upper and lower asphaltene weight fractions of fluid proximate ends of an oil column are obtained based on measured OD. Upper and lower maltene partial densities are obtained based on the asphaltene weight fractions. A maltene partial density distribution is obtained utilizing the maltene partial densities and a predetermined diffusion model. An asphaltene partial density distribution is obtained based on the maltene partial density distribution and an estimated mass density gradient. An asphaltene weight percentage is obtained based on the asphaltene partial density distribution and the mass density gradient. The asphaltene weight percentage distribution is converted to an OD distribution utilizing a predetermined correlation. An optimization then reduces differences between the OD distribution and the measured OD data to within a predetermined range to refine a biodegradation time of the predetermined diffusion model. A viscosity distribution may be obtained based on the optimized OD distribution.

    Abstract translation: 基于测量的OD获得油柱近端流体的上部和下部沥青质重量分数。 基于沥青质重量分数获得上,下麦芽烯部分密度。 利用麦芽烯部分密度和预定扩散模型获得麦芽烯部分密度分布。 基于麦芽烯部分密度分布和估计质量密度梯度获得沥青质部分密度分布。 基于沥青质部分密度分布和质量密度梯度得到沥青质重量百分比。 使用预定的相关性将沥青质重量百分比分布转换为OD分布。 优化然后将OD分布和测量的OD数据之间的差异减小到预定范围内,以细化预定扩散模型的生物降解时间。 可以基于优化的OD分布获得粘度分布。

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