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公开(公告)号：US20150006084A1
公开(公告)日：2015-01-01
申请号：US14373019
申请日：2013-01-17
Applicant: Schlumberger Technology Corporation
Inventor： Youxiang Zuo , Oliver C. Mullins , Francois Xavier Dubost , Cosan Ayan , Wael Abdallah , Andrew E. Pomerantz , Dingan Zhang
CPC classification number: E21B49/088 , E21B49/00 , E21B49/02 , E21B49/08 , E21B2049/085
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。
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22.发明公开公开(公告)号：US20240151139A1
公开(公告)日：2024-05-09
申请号：US18406875
申请日：2024-01-08
Applicant: Schlumberger Technology Corporation
Inventor： Hadrien Dumont , Vinay K. Mishra , German Garcia , Li Chen , Thomas Pfeiffer , Soraya S. Betancourt Pocaterra , Jerimiah Forsythe , Andrew Emil Pomerantz , Youxiang Zuo , Oliver C. Mullins
Abstract: Systems and methods for identifying a likelihood that a reservoir of a geological formation received a secondary charge of hydrocarbons of relatively very different thermal maturity of composition are provided. One method includes positioning a downhole acquisition tool in a wellbore in a geological formation and testing one or more fluid properties of the formation fluid. Data processing circuitry may identify whether a relationship of the one or more fluid properties exceeds a first threshold that indicates likely asphaltene instability. When this is the case, data processing circuitry may be used to model the geological formation using a realization scenario in which multiple charges of hydrocarbons of substantially different thermal maturity or substantially different composition, or both, filled a reservoir of the geological formation over geologic time.
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23.发明申请公开(公告)号：US20220187495A1
公开(公告)日：2022-06-16
申请号：US17310991
申请日：2020-03-11
Applicant: Schlumberger Technology Corporation
Inventor： Denise E. Freed , Harish Baban Datir , Peter Tilke , Oliver C. Mullins , Lalitha Venkataramanan , Sandip Bose
Abstract: Embodiments herein include a system and method for modeling and interpreting an evolution of fluids in an oilfield using artificial intelligence. Embodiments may include identifying, using at least one processor, one or more reservoir fluid dynamics processes or properties and generating a model for the one or more reservoir fluid dynamics processes or properties. Embodiments may include receiving, at the model, one or more parameter values corresponding to the one or more reservoir fluid dynamics processes or properties and displaying, at a graphical user interface, one or more results, based upon, at least in part, the model and the one or more parameter values.
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公开(公告)号：US20220128727A1
公开(公告)日：2022-04-28
申请号：US17310998
申请日：2020-03-11
Applicant: Schlumberger Technology Corporation
Inventor： Harish B. Datir , Jean-Marc Donadille , Oliver C. Mullins , Vladislav Achourov , Lalitha Venkataramanan
Abstract: Methods and systems are provided for conducting formation analysis. Data from borehole logging tools is used to conduct a petrophysical analysis of the formation in order to determine (quantify) total porosity and formation matrix permittivity for an interval of the formation. Noninvaded zone water saturation and flushed zone water saturation for the interval of the formation is determined using a saturation model of the interval. The noninvaded zone water saturation is compared to the flushed zone water saturation, and the results of the comparison are used to determine that the interval of the formation contains movable hydrocarbon, immobile hydrocarbon or movable formation water.
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公开(公告)号：US20190264560A1
公开(公告)日：2019-08-29
申请号：US16411845
申请日：2019-05-14
Applicant: Schlumberger Technology Corporation
Inventor： Youxiang Zuo , Kang Wang , Adriaan Gisolf , Ryan Sangjun Lee , Oliver C. Mullins , Shu Pan
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.
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Patent Agency Ranking
公开(公告)号：US10184334B2
公开(公告)日：2019-01-22
申请号：US14966689
申请日：2015-12-11
Applicant: Schlumberger Technology Corporation
Inventor： Soraya S. Betancourt-Pocaterra , Dariusz Strapoc , Ivan Fornasier , Vinay K. Mishra , Jesus Alberto Canas , Oliver C. Mullins
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.
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公开(公告)号：US10101484B2
公开(公告)日：2018-10-16
申请号：US14635760
申请日：2015-03-02
Applicant: Schlumberger Technology Corporation
Inventor： Andrew Emil Pomerantz , Hadrien Dumont , Joseph Carl Fiduk , Vinay Mishra , Youxiang Zuo , Oliver C. Mullins
Abstract: Various implementations described herein are directed to a method for assessing risks of compartmentalization. In one implementation, the method may include receiving seismic data for a formation of interest; identifying areas in the formation having a dip angle greater than about 30 degrees; performing a plurality of downhole fluid analysis (DFA) within a wellbore around the formation having the dip angle greater than about 30 degrees to identify areas experiencing mass density inversion; and determining the areas experiencing mass density inversion by DFA as having one or more risks of compartmentalization.
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28.发明申请公开(公告)号：US20160252454A1
公开(公告)日：2016-09-01
申请号：US15027227
申请日：2014-10-03
Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION
Inventor： Youxiang Zuo , Hadrien Dumont , Richard Jackson , Ilaria De Santo , Oliver C. Mullins , Cosan Ayan
CPC classification number: G01N21/5907 , E21B49/08 , E21B49/10 , E21B2049/085 , G01N11/00 , G01N11/02 , G01N30/88 , G01N2011/008
Abstract: The present disclosure relates to a downhole fluid analysis method that includes withdrawing formation fluid into a downhole tool at a plurality of stations within a wellbore, analyzing the formation fluid within a fluid analyzer of a downhole tool to determine properties of the formation fluid for the plurality of stations, and developing, based on the determined properties of the formation fluid, a relationship for predicting viscosity from a measured optical density.
Abstract translation: 本公开内容涉及一种井下流体分析方法，其包括将地层流体排入井筒内的多个站处的井下工具，分析井下工具的流体分析器内的地层流体，以确定多个地层流体的性质 并且基于确定的地层流体的性质开发从测量的光密度预测粘度的关系。
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公开(公告)号：US09416656B2
公开(公告)日：2016-08-16
申请号：US14406516
申请日：2013-03-07
Applicant: Schlumberger Technology Corporation
Inventor： Andrew E. Pomerantz , Youxiang Zuo , Oliver C. Mullins
CPC classification number: E21B49/088 , E21B7/10 , E21B47/00 , E21B47/10 , E21B49/00 , E21B49/02 , E21B49/082 , G01N21/64 , G01N2201/12
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。
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公开(公告)号：US20160123953A1
公开(公告)日：2016-05-05
申请号：US14933807
申请日：2015-11-05
Applicant: Schlumberger Technology Corporation
Inventor： Youxiang Zuo , Oliver C. Mullins , Richard Jackson , Ankit Agarwal
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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