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公开(公告)号：US12291964B2
公开(公告)日：2025-05-06
申请号：US18182532
申请日：2023-05-24
Applicant: Schlumberger Technology Corporation
Inventor： Nikita Chugunov , Sukru Sarac , Kirsty Morton , Fikri Kuchuk , Terizhandur S. Ramakrishnan , Stephane Vannuffelen
Abstract: Methods for interpreting pressure transient tests and predicting future production for a well are provided. In one embodiment, a method for predicting future production includes beginning a pressure transient test within a well at a wellsite and obtaining pressure measurements of well fluid during the pressure transient test. The method can also include using the obtained pressure measurements to determine probabilistic estimates of input parameters of a pressure transient reservoir model while continuing the pressure transient test. Future production from the well can then be estimated based on the probabilistic estimates of the input parameters. Other methods and systems are also disclosed.
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公开(公告)号：US20190170899A1
公开(公告)日：2019-06-06
申请号：US16270847
申请日：2019-02-08
Applicant: Schlumberger Technology Corporation
Inventor： Kirsty Morton , Nikita Chugunov , Fikri John Kuchuk , Richard Booth , Anthony Fitzpatrick , Denis Biryukov
Abstract: Method for using sensitivity analysis to inform the design and performance of a well test are provided. In one embodiment, a method includes providing a reservoir model of pressure transient behavior and performing a sensitivity analysis to identify an input parameter of the reservoir model that can be estimated from pressure transient test data collected from a well location. This method also includes using the results of the sensitivity analysis to design a pressure transient well test for measuring the identified input parameter. Other methods and systems are also disclosed.
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公开(公告)号：US20190017352A1
公开(公告)日：2019-01-17
申请号：US16034386
申请日：2018-07-13
Applicant: Schlumberger Technology Corporation
Inventor： Nikita Chugunov , Sukru Sarac , Kirsty Morton , Fikri Kuchuk , Terizhandur S. Ramakrishnan , Stephane Vannuffelen
Abstract: Methods for interpreting pressure transient tests and predicting future production for a well are provided. In one embodiment, a method for predicting future production includes beginning a pressure transient test within a well at a wellsite and obtaining pressure measurements of well fluid during the pressure transient test. The method can also include using the obtained pressure measurements to determine probabilistic estimates of input parameters of a pressure transient reservoir model while continuing the pressure transient test. Future production from the well can then be estimated based on the probabilistic estimates of the input parameters. Other methods and systems are also disclosed.
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4.发明申请METHODS FOR ADAPTIVE OPTIMIZATION OF ENHANCED OIL RECOVERY PERFORMANCE UNDER UNCERTAINTY 审中-公开不确定度下增强油回收性能的自适应优化方法公开(公告)号：US20160145977A1
公开(公告)日：2016-05-26
申请号：US14949032
申请日：2015-11-23
Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION
Inventor： Nikita Chugunov , Terizhandur S. Ramakrishnan , Pierre Barrat-Charlaix
Abstract: Methods are provided for adaptive optimization of enhanced oil recovery project performance under uncertainty. Predictive physics-based reservoir simulation is used to estimate performance of the project. Input parameters of the model are divided into control variables and uncertain variables. The reservoir model is optimized to obtain values of control variables maximizing mean value of a chosen performance metric under initial uncertainty of formation and fluid properties. An efficient frontier can characterize dependence between the optimized mean value of the performance metric and its uncertainty expressed by the standard deviation. Global sensitivity analysis (GSA) is then applied to quantify and rank contributions from uncertain input parameters to the standard deviation of the optimized values of the performance metric. Additional measurements can be performed to reduce uncertainty in the high-ranking parameters. Constrained optimization of the model with reduced ranges of uncertain parameters is performed and a new efficient frontier is obtained.
Abstract translation: 提供了在不确定性下对提高采油项目绩效进行适应优化的方法。 使用基于物理的预测油藏模拟来估计项目的绩效。 模型的输入参数分为控制变量和不确定变量。 优化储层模型，以获得控制变量的值，从而最大化初始形成不确定度和流体性质下所选性能度量的平均值。 有效的前沿可以表征绩效指标的优化平均值与其标准偏差所表示的不确定度之间的依赖关系。 然后应用全局灵敏度分析（GSA）来对来自不确定输入参数的贡献进行量化和排序，使其性能度量的优化值的标准差。 可以进行附加测量以降低高级参数的不确定性。 执行具有减小的不确定参数范围的模型的约束优化，并获得新的有效边界。
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公开(公告)号：US10430872B2
公开(公告)日：2019-10-01
申请号：US13784666
申请日：2013-03-04
Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION
Inventor： David J. Wilkinson , Nikita Chugunov , William J. Bailey , Benoit Couet , Terizhandur S. Ramakrishnan
Abstract: Methods are disclosed for assigning a value to a geological asset or information relating thereto in the presence of private and public sources of uncertainties. The private and public uncertainties associated with a geological asset or information associated therewith are defined, and private uncertainties are assigned a subjective probability representing the best state of knowledge currently available. A multi-dimensional valuation-time lattice is constructed using the subjective probabilities for the private uncertainties and using risk-neutral probabilities for the public uncertainties. A backward recursion through the multi-dimensional lattice is performed in order to generate a present value for the asset given the present information available. During the backward recursion, a tally of delta hedging coefficients is generated and stored in order to provide an operational “map” or “decision pathway” should the project move forward.
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Patent Agency Ranking
公开(公告)号：US10352162B2
公开(公告)日：2019-07-16
申请号：US15005531
申请日：2016-01-25
Applicant: Schlumberger Technology Corporation
Inventor： Morten Kristensen , Cosan Ayan , Ryan Sangjun Lee , Nikita Chugunov
IPC: E21B49/10
Abstract: Methods and systems for generating and utilizing a proxy model that generates a pumping parameter as a function of contamination. The pumping parameter is descriptive of a pumpout time or volume of fluid to be obtained from a formation by a downhole sampling tool positioned in a wellbore extending into the formation. The contamination is a percentage of the fluid obtained by the downhole sampling tool that is not native to the formation. The proxy model is based on a true model that utilizes true model input parameters that include the pumping parameter, formation parameters descriptive of the formation, and a filtrate parameter descriptive of a drilling fluid utilized to form the wellbore. The output of the true model is the contamination as a function of the pumping parameter. The proxy model utilizes proxy model input parameters each related to one or more of the true model input parameters.
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公开(公告)号：US10329903B2
公开(公告)日：2019-06-25
申请号：US14777131
申请日：2013-10-04
Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION
Inventor： Terizhandur S. Ramakrishnan , Yusuf Bilgin Altundas , Nikita Chugunov , Romain De Loubens , Francois B. Fayard
Abstract: Embodiments include constructing a reservoir model of an earth formation. The method may also include selecting a predetermined set of fundamental parameters to describe the earth formation and assigning initial values for the predetermined set of fundamental parameters for each of the plurality of layers. The method may include using the initial values for each of the plurality of layers. The method may include computing physical-response-relevant properties as a function of space and time for each of the plurality of layers using the solutions and then computing tool responses using the physical-response-relevant properties. The method may include installing an electrode array between an insulation portion of a metal casing provided in a borehole and a physical formation and obtaining formation measurement information from the electrode array, comparing the formation measurement information to the computed tool response to obtain an error signal and modifying the initial values in an iterative process.
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公开(公告)号：US11598185B2
公开(公告)日：2023-03-07
申请号：US14949032
申请日：2015-11-23
Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION
Inventor： Nikita Chugunov , Terizhandur S. Ramakrishnan , Pierre Barrat-Charlaix
Abstract: Methods are provided for adaptive optimization of enhanced oil recovery project performance under uncertainty. Predictive physics-based reservoir simulation is used to estimate performance of the project. Input parameters of the model are divided into control variables and uncertain variables. The reservoir model is optimized to obtain values of control variables maximizing mean value of a chosen performance metric under initial uncertainty of formation and fluid properties. An efficient frontier can characterize dependence between the optimized mean value of the performance metric and its uncertainty expressed by the standard deviation. Global sensitivity analysis (GSA) is then applied to quantify and rank contributions from uncertain input parameters to the standard deviation of the optimized values of the performance metric. Additional measurements can be performed to reduce uncertainty in the high-ranking parameters. Constrained optimization of the model with reduced ranges of uncertain parameters is performed and a new efficient frontier is obtained.
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公开(公告)号：US20220335185A1
公开(公告)日：2022-10-20
申请号：US17753484
申请日：2020-09-04
Applicant: Schlumberger Technology Corporation
Inventor： Morten Kristensen , Marie LeFranc , Bertrand Theuveny , Hadrien Dumont , Nikita Chugunov , Sebastien Roche , Wiwin Yuliana , Zhenning Bao , Erwan Olliero , Ram Sunder Kalyanraman , Thomas Pfeiffer , Claude Signer , Simon Edmundson , Hua Yu , Ke Jiang , Vassilis Varveropoulos , Henri-Pierre Valero , Eric Jeanson , Guillaume Borrel , Pierre Bettinelli , Joel Le Calvez
Abstract: The present disclosure relates to a method comprising: receiving a resource model associated with a resource site and receiving one or more objective parameters, such that a first objective parameter comprised in the one or more objective parameters is a function of one or more parameter values of the resource model. The method comprises executing simulations to generate a first uncertainty value based on at least one of a first parameter value and a first uncertainty value of a first parameter of the resource model. The simulations may be executed to generate a first forecast uncertainty value for each scenario comprised in a plurality of scenarios. The method also identifies one service that minimizes an uncertainty value of the objective parameter based on the forecast uncertainty value. The method further includes generating a first visualization comprising the one identified service for viewing by a user via a user interface.
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10.发明授权公开(公告)号：US11441422B2
公开(公告)日：2022-09-13
申请号：US16152114
申请日：2018-10-04
Applicant: SCHLUMBERGER TECHNOLOGY CORPORATION
Inventor： Morten Kristensen , Nikita Chugunov
Abstract: A method (and corresponding downhole tool) is provided for downhole fluid analysis of formation fluids. The downhole tool is operated to draw live fluid from the formation through the downhole tool and acquire observed sensor measurements of the live fluid (which includes filtrate contamination) that flows through the downhole tool. The observed sensor measurements are used in an inversion process that solves for a set of input parameter values of a computational model that predicts level of filtrate contamination in the live fluid that flows through the downhole tool. The set of input parameter values includes at least one endpoint value for the observed sensor measurements. The set of input parameter values solved by the inversion process can be stored and output for different applications.
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