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公开(公告)号：US11609353B2
公开(公告)日：2023-03-21
申请号：US16650847
申请日：2018-09-26
Applicant: Schlumberger Technology Corporation
Inventor： Vikas Jain , Po-Yen Wu , Aria Abubakar , Shashi Menon
Abstract: A method and apparatus for subsurface data processing includes determining a set of clusters based at least in part on measurement vectors associated with different depths or times in subsurface data, defining clusters in a subsurface data by classes associated with a state mode, reducing a quantity of the subsurface data based at least in part on the classes, and storing the reduced quantity of the subsurface data and classes with the state model in a training database for a machine learning process.
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公开(公告)号：US20200278467A1
公开(公告)日：2020-09-03
申请号：US16650847
申请日：2018-09-26
Applicant: Schlumberger Technology Corporation
Inventor： Vikas Jain , Po-Yen Wu , Aria Abubakar , Shashi Menon
Abstract: A method and apparatus for subsurface data processing includes determining a set of clusters based at least in part on measurement vectors associated with different depths or times in subsurface data, defining clusters in a subsurface data by classes associated with a state mode, reducing a quantity of the subsurface data based at least in part on the classes, and storing the reduced quantity of the subsurface data and classes with the state model in a training database for a machine learning process.
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公开(公告)号：US10422221B2
公开(公告)日：2019-09-24
申请号：US15021079
申请日：2014-09-16
Applicant: Schlumberger Technology Corporation
Inventor： Kais Gzara , Vikas Jain , Chanh Cao Minh , Roger Griffiths
Abstract: A method for determining a volume of a constituent(s) in a geological formation may include generating an equation of state based upon log measurements for the geological formation, with the equation of state providing a correlation between the log measurements, determining a quality factor for the equation of state, and for each of a plurality of different constituents expected to be in the formation, determining a constituent compliance factor for each of the constituents. The method may further include determining an uncertainty for each constituent compliance factor, determining a likelihood that each constituent is present in the formation based upon the quality factor, the constituent compliance factor for the constituent, and the uncertainty for the constituent compliance factor, generating a volumetric model based upon the log measurements and the determined likelihoods of the constituents in the formation, and determining the volume of the constituent(s) based upon the volumetric model.
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公开(公告)号：US10385677B2
公开(公告)日：2019-08-20
申请号：US13837409
申请日：2013-03-15
Applicant: Schlumberger Technology Corporation
Inventor： Kais Gzara , Vikas Jain , Alan Patrick Hibler
Abstract: A method for determining volumetric data for fluid within a geological formation is provided. The method includes collecting first and second dataset snapshots of the geological formation based upon measurements from the borehole at respective different first and second times and generating a differential dataset based upon the first and second dataset snapshots. Multiple points are determined within the differential dataset, including a first point representing a first displaced fluid, a second point representing a second displaced fluid, and an injected fluid point that corresponds to properties of the injected fluid. A further third point is determined based on at least one other property of the displaced fluid, and a volumetric composition of the displaced fluids is determined based upon the differential dataset, the first point, and second point, and third point.
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公开(公告)号：US20160230548A1
公开(公告)日：2016-08-11
申请号：US15021079
申请日：2014-09-16
Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION
Inventor： Kais Gzara , Vikas Jain , Chanh Cao Minh , Roger Griffiths
Abstract: A method for determining a volume of a constituent(s) in a geological formation may include generating an equation of state based upon log measurements for the geological formation, with the equation of state providing a correlation between the log measurements, determining a quality factor for the equation of state, and for each of a plurality of different constituents expected to be in the formation, determining a constituent compliance factor for each of the constituents. The method may further include determining an uncertainty for each constituent compliance factor, determining a likelihood that each constituent is present in the formation based upon the quality factor, the constituent compliance factor for the constituent, and the uncertainty for the constituent compliance factor, generating a volumetric model based upon the log measurements and the determined likelihoods of the constituents in the formation, and determining the volume of the constituent(s) based upon the volumetric model.
Abstract translation: 用于确定地质构造中的成分的体积的方法可以包括基于地质构造的对数测量生成状态方程，其中状态方程提供对数测量之间的相关性，确定 状态方程式，以及预期在形成中的多种不同成分中的每一种，确定每个成分的成分顺应因子。 该方法还可以包括确定每个构成顺应性因子的不确定性，基于质量因子确定每个成分存在于组合中的可能性，组成成分的构成顺应因子以及组成顺应因子的不确定性，生成 基于对数测量和确定组合物在地层中的可能性的体积模型，以及基于体积模型确定组分的体积。
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Patent Agency Ranking
公开(公告)号：US20160061986A1
公开(公告)日：2016-03-03
申请号：US14470052
申请日：2014-08-27
Applicant: Schlumberger Technology Corporation
Inventor： Vivek Anand , Vikas Jain
CPC classification number: G01V3/32 , G01N24/081 , G01R33/448 , G01R33/4633 , G01V3/38
Abstract: A method for analyzing at least one characteristic of a geological formation may include obtaining measured data for the geological formation based upon a logging tool, and minimizing an objective function representing at least an Lp norm of model parameters and an error between the measured data and predicted data for the objective function, wherein p is not equal to 2. The method may further include determining the at least one characteristic of the geological formation based upon the minimization of the objective function.
Abstract translation: 用于分析地质构造的至少一个特征的方法可以包括基于测井工具获得用于地质构造的测量数据，并且最小化表示模型参数的至少Lp范数的目标函数和测量数据与预测的误差之间的误差 用于目标函数的数据，其中p不等于2.该方法还可以包括基于目标函数的最小化来确定地质构造的至少一个特征。
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公开(公告)号：US11520075B2
公开(公告)日：2022-12-06
申请号：US16439624
申请日：2019-06-12
Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION
Inventor： Shashi Menon , Aria Abubakar , Vikas Jain , David Furse Allen , John Rasmus , John Paul Horkowitz , Valerian Guillot , Florent D'Halluin , Ridvan Akkurt , Sylvain Wlodarczyk
Abstract: Methods and systems for augmented geological service characterization are described. An embodiment of a method includes generating a geological service characterization process in response to one or more geological service objectives and a geological service experience information set. Such a method may also include augmenting the geological service characterization process by machine learning in response to a training information set. Additionally, the method may include generating an augmented geological service characterization process in response to the determination information.
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公开(公告)号：US10359532B2
公开(公告)日：2019-07-23
申请号：US14957481
申请日：2015-12-02
Applicant: Schlumberger Technology Corporation
Inventor： Vikas Jain , Kais Gzara
Abstract: A method for analyzing at least one characteristic of a geological formation may include obtaining measured data for the geological formation based upon a logging tool. Measured data may come from multiple passes or multiple depths of investigation. The method may further include generating a kernel describing a known linear mapping between the measured data and unknown data points representing at least one characteristic of the geological formation, and a redundant dictionary including a plurality of different basis functions expected to span the solution space of the unknown data points. The unknown data points representing the at least one characteristic of the geological formation may be determined from the measured data, the kernel and the redundant dictionary based upon an L1 minimization.
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19.发明申请公开(公告)号：US20190219727A1
公开(公告)日：2019-07-18
申请号：US16246603
申请日：2019-01-14
Applicant: Schlumberger Technology Corporation
Inventor： Chanh Cao Minh , Vikas Jain
CPC classification number: G01V3/32 , G01N24/081 , G01V3/14
Abstract: A liquid saturation may be identified from nuclear magnetic resonance (NMR) data having overlapping peaks indicative of two liquids by, generally, identifying a first endpoint based at least in part on the T2 NMR data for the first liquid, and identifying a second endpoint based at least in part on the T2 NMR data for the second liquid. Then, the liquid saturation is identified by relating a composition of the first liquid for an overlapping distribution region based at least in part on the first endpoint and the second endpoint. In some embodiments, the liquid saturation is identified based on an interpolation between the first endpoint and the second endpoint.
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公开(公告)号：US10228484B2
公开(公告)日：2019-03-12
申请号：US15337824
申请日：2016-10-28
Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION
Inventor： Pu Wang , Vikas Jain , Lalitha Venkataramanan
IPC: G01V3/38 , G01N24/08 , E21B47/12 , G06N7/00 , G06F17/18 , G01V3/32 , G06N99/00 , E21B49/00 , G01R33/44
Abstract: Methods and systems for characterizing a subterranean formation using nuclear magnetic resonance (NMR) measurements are described herein. One method includes locating a downhole logging tool in a wellbore that traverses the subterranean formation, and performing NMR measurements to obtain NMR data for a region of the subterranean formation. The NMR data is processed by employing sparse Bayesian learning (SBL) to determine a multi-dimensional property distribution of the NMR data (e.g., T1-T2, D-T2, and D-T1-T2 distributions). The sparse Bayesian learning can utilize Bayesian inference that involves a prior over a vector of basis coefficients governed by a set of hyperparameters, one associated with each basis coefficient, whose most probable values are iteratively estimated from the NMR data. The sparse Bayesian learning can achieve sparsity because posterior distributions of many of such basis coefficients are sharply peaked around zero.
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